<data>
<row _id="1"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>10 - 14</Age><Count>2170</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="2"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>5 - 9</Age><Count>2040</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="3"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>&lt;5</Age><Count>2230</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="4"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>15 - 19</Age><Count>2280</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="5"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>20 - 24</Age><Count>1900</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="6"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>25 - 29</Age><Count>1490</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="7"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>30 - 34</Age><Count>1250</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="8"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>35 - 39</Age><Count>1230</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="9"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>40 - 44</Age><Count>1510</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="10"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>45 - 49</Age><Count>1660</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="11"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>50 - 54</Age><Count>1400</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="12"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>55 - 59</Age><Count>1050</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="13"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>60 - 64</Age><Count>1110</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="14"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>65 - 69</Age><Count>550</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="15"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>70 - 74</Age><Count>810</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="16"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>75 - 79</Age><Count>690</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="17"><Place of birth>Jersey</Place of birth><Gender>Men</Gender><Age>80+</Age><Count>760</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="18"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>10 - 14</Age><Count>340</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="19"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>5 - 9</Age><Count>240</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="20"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>&lt;5</Age><Count>130</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="21"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>15 - 19</Age><Count>300</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="22"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>20 - 24</Age><Count>410</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="23"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>25 - 29</Age><Count>590</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="24"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>30 - 34</Age><Count>850</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="25"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>35 - 39</Age><Count>1200</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="26"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>40 - 44</Age><Count>1670</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="27"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>45 - 49</Age><Count>1780</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="28"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>50 - 54</Age><Count>1550</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="29"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>55 - 59</Age><Count>1460</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="30"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>60 - 64</Age><Count>1380</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="31"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>65 - 69</Age><Count>1140</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="32"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>70 - 74</Age><Count>730</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="33"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>75 - 79</Age><Count>530</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="34"><Place of birth>British Isles</Place of birth><Gender>Men</Gender><Age>80+</Age><Count>540</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="35"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>10 - 14</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="36"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>5 - 9</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="37"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>&lt;5</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="38"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>15 - 19</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="39"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>20 - 24</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="40"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>25 - 29</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="41"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>30 - 34</Age><Count>90</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="42"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>35 - 39</Age><Count>100</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="43"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>40 - 44</Age><Count>110</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="44"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>45 - 49</Age><Count>80</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="45"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>50 - 54</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="46"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>55 - 59</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="47"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>60 - 64</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="48"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>65 - 69</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="49"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>70 - 74</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="50"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>75 - 79</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="51"><Place of birth>Ireland</Place of birth><Gender>Men</Gender><Age>80+</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="52"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>10 - 14</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="53"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>5 - 9</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="54"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>&lt;5</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="55"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>15 - 19</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="56"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>20 - 24</Age><Count>180</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="57"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>25 - 29</Age><Count>440</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="58"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>30 - 34</Age><Count>490</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="59"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>35 - 39</Age><Count>190</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="60"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>40 - 44</Age><Count>90</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="61"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>45 - 49</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="62"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>50 - 54</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="63"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>55 - 59</Age><Count>10</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="64"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>60 - 64</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="65"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>65 - 69</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="66"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>75 - 79</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="67"><Place of birth>Poland</Place of birth><Gender>Men</Gender><Age>80+</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="68"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>10 - 14</Age><Count>90</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="69"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>5 - 9</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="70"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>&lt;5</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="71"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>15 - 19</Age><Count>130</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="72"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>20 - 24</Age><Count>310</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="73"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>25 - 29</Age><Count>430</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="74"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>30 - 34</Age><Count>520</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="75"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>35 - 39</Age><Count>490</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="76"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>40 - 44</Age><Count>480</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="77"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>45 - 49</Age><Count>390</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="78"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>50 - 54</Age><Count>310</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="79"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>55 - 59</Age><Count>200</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="80"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>60 - 64</Age><Count>130</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="81"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>65 - 69</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="82"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>70 - 74</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="83"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>75 - 79</Age><Count>10</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="84"><Place of birth>Portugal or Madeira</Place of birth><Gender>Men</Gender><Age>80+</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="85"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>10 - 14</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="86"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>5 - 9</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="87"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>&lt;5</Age><Count>10</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="88"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>15 - 19</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="89"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>20 - 24</Age><Count>110</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="90"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>25 - 29</Age><Count>200</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="91"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>30 - 34</Age><Count>230</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="92"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>35 - 39</Age><Count>160</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="93"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>40 - 44</Age><Count>100</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="94"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>45 - 49</Age><Count>90</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="95"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>50 - 54</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="96"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>55 - 59</Age><Count>80</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="97"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>60 - 64</Age><Count>100</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="98"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>65 - 69</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="99"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>70 - 74</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="100"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>75 - 79</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="101"><Place of birth>Other european country</Place of birth><Gender>Men</Gender><Age>80+</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="102"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>10 - 14</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="103"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>5 - 9</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="104"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>&lt;5</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="105"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>15 - 19</Age><Count>90</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="106"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>20 - 24</Age><Count>80</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="107"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>25 - 29</Age><Count>150</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="108"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>30 - 34</Age><Count>260</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="109"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>35 - 39</Age><Count>250</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="110"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>40 - 44</Age><Count>230</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="111"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>45 - 49</Age><Count>140</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="112"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>50 - 54</Age><Count>130</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="113"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>55 - 59</Age><Count>90</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="114"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>60 - 64</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="115"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>65 - 69</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="116"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>70 - 74</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="117"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>75 - 79</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="118"><Place of birth>Elsewhere in the world</Place of birth><Gender>Men</Gender><Age>80+</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="119"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>10 - 14</Age><Count>2070</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="120"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>5 - 9</Age><Count>1970</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="121"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>&lt;5</Age><Count>2320</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="122"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>15 - 19</Age><Count>2080</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="123"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>20 - 24</Age><Count>1810</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="124"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>25 - 29</Age><Count>1370</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="125"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>30 - 34</Age><Count>1310</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="126"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>35 - 39</Age><Count>1250</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="127"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>40 - 44</Age><Count>1520</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="128"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>45 - 49</Age><Count>1730</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="129"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>50 - 54</Age><Count>1340</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="130"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>55 - 59</Age><Count>1070</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="131"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>60 - 64</Age><Count>1130</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="132"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>65 - 69</Age><Count>630</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="133"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>70 - 74</Age><Count>900</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="134"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>75 - 79</Age><Count>780</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="135"><Place of birth>Jersey</Place of birth><Gender>Women</Gender><Age>80+</Age><Count>1250</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="136"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>10 - 14</Age><Count>320</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="137"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>5 - 9</Age><Count>240</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="138"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>&lt;5</Age><Count>120</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="139"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>15 - 19</Age><Count>320</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="140"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>20 - 24</Age><Count>420</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="141"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>25 - 29</Age><Count>580</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="142"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>30 - 34</Age><Count>780</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="143"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>35 - 39</Age><Count>1160</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="144"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>40 - 44</Age><Count>1660</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="145"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>45 - 49</Age><Count>1680</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="146"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>50 - 54</Age><Count>1670</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="147"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>55 - 59</Age><Count>1520</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="148"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>60 - 64</Age><Count>1360</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="149"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>65 - 69</Age><Count>1230</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="150"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>70 - 74</Age><Count>820</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="151"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>75 - 79</Age><Count>580</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="152"><Place of birth>British Isles</Place of birth><Gender>Women</Gender><Age>80+</Age><Count>950</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="153"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>10 - 14</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="154"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>5 - 9</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="155"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>&lt;5</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="156"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>15 - 19</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="157"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>20 - 24</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="158"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>25 - 29</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="159"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>30 - 34</Age><Count>110</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="160"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>35 - 39</Age><Count>200</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="161"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>40 - 44</Age><Count>140</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="162"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>45 - 49</Age><Count>100</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="163"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>50 - 54</Age><Count>100</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="164"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>55 - 59</Age><Count>100</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="165"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>60 - 64</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="166"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>65 - 69</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="167"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>70 - 74</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="168"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>75 - 79</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="169"><Place of birth>Ireland</Place of birth><Gender>Women</Gender><Age>80+</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="170"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>10 - 14</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="171"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>5 - 9</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="172"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>&lt;5</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="173"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>15 - 19</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="174"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>20 - 24</Age><Count>210</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="175"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>25 - 29</Age><Count>500</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="176"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>30 - 34</Age><Count>460</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="177"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>35 - 39</Age><Count>140</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="178"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>40 - 44</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="179"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>45 - 49</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="180"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>50 - 54</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="181"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>55 - 59</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="182"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>60 - 64</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="183"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>65 - 69</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="184"><Place of birth>Poland</Place of birth><Gender>Women</Gender><Age>80+</Age><Count>~</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="185"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>10 - 14</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="186"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>5 - 9</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="187"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>&lt;5</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="188"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>15 - 19</Age><Count>110</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="189"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>20 - 24</Age><Count>250</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="190"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>25 - 29</Age><Count>380</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="191"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>30 - 34</Age><Count>430</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="192"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>35 - 39</Age><Count>450</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="193"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>40 - 44</Age><Count>460</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="194"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>45 - 49</Age><Count>380</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="195"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>50 - 54</Age><Count>310</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="196"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>55 - 59</Age><Count>200</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="197"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>60 - 64</Age><Count>120</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="198"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>65 - 69</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="199"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>70 - 74</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="200"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>75 - 79</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="201"><Place of birth>Portugal or Madeira</Place of birth><Gender>Women</Gender><Age>80+</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="202"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>10 - 14</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="203"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>5 - 9</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="204"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>&lt;5</Age><Count>20</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="205"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>15 - 19</Age><Count>30</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="206"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>20 - 24</Age><Count>140</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="207"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>25 - 29</Age><Count>240</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="208"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>30 - 34</Age><Count>220</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="209"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>35 - 39</Age><Count>160</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="210"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>40 - 44</Age><Count>140</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="211"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>45 - 49</Age><Count>100</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="212"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>50 - 54</Age><Count>80</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="213"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>55 - 59</Age><Count>80</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="214"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>60 - 64</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="215"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>65 - 69</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="216"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>70 - 74</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="217"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>75 - 79</Age><Count>80</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="218"><Place of birth>Other european country</Place of birth><Gender>Women</Gender><Age>80+</Age><Count>150</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="219"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>10 - 14</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="220"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>5 - 9</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="221"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>&lt;5</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="222"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>15 - 19</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="223"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>20 - 24</Age><Count>90</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="224"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>25 - 29</Age><Count>230</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="225"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>30 - 34</Age><Count>260</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="226"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>35 - 39</Age><Count>270</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="227"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>40 - 44</Age><Count>220</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="228"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>45 - 49</Age><Count>150</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="229"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>50 - 54</Age><Count>140</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="230"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>55 - 59</Age><Count>100</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="231"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>60 - 64</Age><Count>80</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="232"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>65 - 69</Age><Count>60</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="233"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>70 - 74</Age><Count>40</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="234"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>75 - 79</Age><Count>50</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
<row _id="235"><Place of birth>Elsewhere in the world</Place of birth><Gender>Women</Gender><Age>80+</Age><Count>70</Count><DateDataAdded>2015-08-28T00:00:00</DateDataAdded></row>
</data>
