<data>
<row _id="1"><Date>2011-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1390</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1270</Total registered as ASW (seasonally adjusted)><Males>910</Males><Females>480</Females><Age: 16-19>320</Age: 16-19><Age: 20-24>230</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>140</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>40</Age: 60-64><Long Term Unemployed>160</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="2"><Date>2011-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1470</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1300</Total registered as ASW (seasonally adjusted)><Males>960</Males><Females>510</Females><Age: 16-19>320</Age: 16-19><Age: 20-24>230</Age: 20-24><Age: 25-29>140</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>150</Age: 45-49><Age: 50-54>140</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>40</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="3"><Date>2011-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1310</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1250</Total registered as ASW (seasonally adjusted)><Males>850</Males><Females>460</Females><Age: 16-19>310</Age: 16-19><Age: 20-24>200</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>130</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>30</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="4"><Date>2011-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1350</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1310</Total registered as ASW (seasonally adjusted)><Males>870</Males><Females>490</Females><Age: 16-19>290</Age: 16-19><Age: 20-24>210</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>140</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>40</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="5"><Date>2011-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1340</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1360</Total registered as ASW (seasonally adjusted)><Males>820</Males><Females>520</Females><Age: 16-19>270</Age: 16-19><Age: 20-24>200</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>150</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>100</Age: 55-59><Age: 60-64>50</Age: 60-64><Long Term Unemployed>230</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="6"><Date>2011-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1300</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1350</Total registered as ASW (seasonally adjusted)><Males>790</Males><Females>500</Females><Age: 16-19>280</Age: 16-19><Age: 20-24>190</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>130</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>40</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="7"><Date>2011-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1350</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1390</Total registered as ASW (seasonally adjusted)><Males>800</Males><Females>550</Females><Age: 16-19>300</Age: 16-19><Age: 20-24>220</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>150</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>100</Age: 55-59><Age: 60-64>40</Age: 60-64><Long Term Unemployed>260</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="8"><Date>2011-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1350</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1440</Total registered as ASW (seasonally adjusted)><Males>820</Males><Females>530</Females><Age: 16-19>290</Age: 16-19><Age: 20-24>200</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>40</Age: 60-64><Long Term Unemployed>260</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="9"><Date>2011-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1370</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1460</Total registered as ASW (seasonally adjusted)><Males>850</Males><Females>520</Females><Age: 16-19>290</Age: 16-19><Age: 20-24>200</Age: 20-24><Age: 25-29>140</Age: 25-29><Age: 30-34>100</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>30</Age: 60-64><Long Term Unemployed>280</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="10"><Date>2011-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1500</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1550</Total registered as ASW (seasonally adjusted)><Males>920</Males><Females>570</Females><Age: 16-19>290</Age: 16-19><Age: 20-24>220</Age: 20-24><Age: 25-29>170</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>40</Age: 60-64><Long Term Unemployed>300</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="11"><Date>2011-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1530</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1540</Total registered as ASW (seasonally adjusted)><Males>960</Males><Females>580</Females><Age: 16-19>260</Age: 16-19><Age: 20-24>220</Age: 20-24><Age: 25-29>170</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>190</Age: 45-49><Age: 50-54>150</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>40</Age: 60-64><Long Term Unemployed>270</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="12"><Date>2011-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1540</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1570</Total registered as ASW (seasonally adjusted)><Males>960</Males><Females>580</Females><Age: 16-19>250</Age: 16-19><Age: 20-24>230</Age: 20-24><Age: 25-29>170</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>170</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>150</Age: 50-54><Age: 55-59>100</Age: 55-59><Age: 60-64>50</Age: 60-64><Long Term Unemployed>290</Long Term Unemployed><Underemployed xsi:nil="true" /></row>
<row _id="13"><Date>2012-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1700</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1580</Total registered as ASW (seasonally adjusted)><Males>1050</Males><Females>650</Females><Age: 16-19>280</Age: 16-19><Age: 20-24>250</Age: 20-24><Age: 25-29>170</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>180</Age: 40-44><Age: 45-49>190</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>50</Age: 60-64><Long Term Unemployed>310</Long Term Unemployed><Underemployed>200</Underemployed></row>
<row _id="14"><Date>2012-02-29T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1820</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1660</Total registered as ASW (seasonally adjusted)><Males>1130</Males><Females>690</Females><Age: 16-19>280</Age: 16-19><Age: 20-24>270</Age: 20-24><Age: 25-29>190</Age: 25-29><Age: 30-34>170</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>190</Age: 40-44><Age: 45-49>200</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>50</Age: 60-64><Long Term Unemployed>340</Long Term Unemployed><Underemployed>190</Underemployed></row>
<row _id="15"><Date>2012-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1810</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1740</Total registered as ASW (seasonally adjusted)><Males>1100</Males><Females>700</Females><Age: 16-19>260</Age: 16-19><Age: 20-24>260</Age: 20-24><Age: 25-29>180</Age: 25-29><Age: 30-34>170</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>200</Age: 40-44><Age: 45-49>210</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>340</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="16"><Date>2012-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1740</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1710</Total registered as ASW (seasonally adjusted)><Males>1070</Males><Females>680</Females><Age: 16-19>270</Age: 16-19><Age: 20-24>250</Age: 20-24><Age: 25-29>180</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>190</Age: 40-44><Age: 45-49>200</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>310</Long Term Unemployed><Underemployed>220</Underemployed></row>
<row _id="17"><Date>2012-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1720</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1750</Total registered as ASW (seasonally adjusted)><Males>1040</Males><Females>680</Females><Age: 16-19>250</Age: 16-19><Age: 20-24>240</Age: 20-24><Age: 25-29>180</Age: 25-29><Age: 30-34>160</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>200</Age: 40-44><Age: 45-49>210</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>50</Age: 60-64><Long Term Unemployed>310</Long Term Unemployed><Underemployed>220</Underemployed></row>
<row _id="18"><Date>2012-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1720</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1770</Total registered as ASW (seasonally adjusted)><Males>1010</Males><Females>700</Females><Age: 16-19>280</Age: 16-19><Age: 20-24>240</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>170</Age: 30-34><Age: 35-39>120</Age: 35-39><Age: 40-44>190</Age: 40-44><Age: 45-49>220</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>310</Long Term Unemployed><Underemployed>240</Underemployed></row>
<row _id="19"><Date>2012-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1740</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1780</Total registered as ASW (seasonally adjusted)><Males>1020</Males><Females>720</Females><Age: 16-19>330</Age: 16-19><Age: 20-24>260</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>190</Age: 40-44><Age: 45-49>190</Age: 45-49><Age: 50-54>150</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>50</Age: 60-64><Long Term Unemployed>300</Long Term Unemployed><Underemployed>240</Underemployed></row>
<row _id="20"><Date>2012-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1670</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1760</Total registered as ASW (seasonally adjusted)><Males>1020</Males><Females>650</Females><Age: 16-19>330</Age: 16-19><Age: 20-24>250</Age: 20-24><Age: 25-29>150</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>120</Age: 35-39><Age: 40-44>170</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>140</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>290</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="21"><Date>2012-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1610</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1690</Total registered as ASW (seasonally adjusted)><Males>970</Males><Females>650</Females><Age: 16-19>320</Age: 16-19><Age: 20-24>220</Age: 20-24><Age: 25-29>140</Age: 25-29><Age: 30-34>160</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>170</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>140</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>290</Long Term Unemployed><Underemployed>220</Underemployed></row>
<row _id="22"><Date>2012-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1720</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1770</Total registered as ASW (seasonally adjusted)><Males>1020</Males><Females>700</Females><Age: 16-19>350</Age: 16-19><Age: 20-24>230</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>160</Age: 30-34><Age: 35-39>120</Age: 35-39><Age: 40-44>170</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>150</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>320</Long Term Unemployed><Underemployed>250</Underemployed></row>
<row _id="23"><Date>2012-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1820</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1830</Total registered as ASW (seasonally adjusted)><Males>1090</Males><Females>730</Females><Age: 16-19>320</Age: 16-19><Age: 20-24>230</Age: 20-24><Age: 25-29>180</Age: 25-29><Age: 30-34>170</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>190</Age: 40-44><Age: 45-49>200</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>300</Long Term Unemployed><Underemployed>300</Underemployed></row>
<row _id="24"><Date>2012-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1840</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1860</Total registered as ASW (seasonally adjusted)><Males>1100</Males><Females>740</Females><Age: 16-19>320</Age: 16-19><Age: 20-24>220</Age: 20-24><Age: 25-29>180</Age: 25-29><Age: 30-34>170</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>200</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>320</Long Term Unemployed><Underemployed>320</Underemployed></row>
<row _id="25"><Date>2013-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>2020</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1910</Total registered as ASW (seasonally adjusted)><Males>1210</Males><Females>810</Females><Age: 16-19>320</Age: 16-19><Age: 20-24>270</Age: 20-24><Age: 25-29>200</Age: 25-29><Age: 30-34>180</Age: 30-34><Age: 35-39>170</Age: 35-39><Age: 40-44>210</Age: 40-44><Age: 45-49>260</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>340</Long Term Unemployed><Underemployed>320</Underemployed></row>
<row _id="26"><Date>2013-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>2030</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1890</Total registered as ASW (seasonally adjusted)><Males>1210</Males><Females>820</Females><Age: 16-19>320</Age: 16-19><Age: 20-24>270</Age: 20-24><Age: 25-29>210</Age: 25-29><Age: 30-34>180</Age: 30-34><Age: 35-39>160</Age: 35-39><Age: 40-44>220</Age: 40-44><Age: 45-49>260</Age: 45-49><Age: 50-54>200</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>360</Long Term Unemployed><Underemployed>300</Underemployed></row>
<row _id="27"><Date>2013-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>2050</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1960</Total registered as ASW (seasonally adjusted)><Males>1230</Males><Females>820</Females><Age: 16-19>290</Age: 16-19><Age: 20-24>260</Age: 20-24><Age: 25-29>220</Age: 25-29><Age: 30-34>180</Age: 30-34><Age: 35-39>180</Age: 35-39><Age: 40-44>210</Age: 40-44><Age: 45-49>250</Age: 45-49><Age: 50-54>210</Age: 50-54><Age: 55-59>170</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>370</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="28"><Date>2013-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1930</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1940</Total registered as ASW (seasonally adjusted)><Males>1140</Males><Females>800</Females><Age: 16-19>260</Age: 16-19><Age: 20-24>250</Age: 20-24><Age: 25-29>190</Age: 25-29><Age: 30-34>180</Age: 30-34><Age: 35-39>170</Age: 35-39><Age: 40-44>200</Age: 40-44><Age: 45-49>240</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>380</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="29"><Date>2013-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1880</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1910</Total registered as ASW (seasonally adjusted)><Males>1080</Males><Females>800</Females><Age: 16-19>250</Age: 16-19><Age: 20-24>240</Age: 20-24><Age: 25-29>180</Age: 25-29><Age: 30-34>170</Age: 30-34><Age: 35-39>160</Age: 35-39><Age: 40-44>200</Age: 40-44><Age: 45-49>250</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>380</Long Term Unemployed><Underemployed>320</Underemployed></row>
<row _id="30"><Date>2013-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1850</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1910</Total registered as ASW (seasonally adjusted)><Males>1040</Males><Females>810</Females><Age: 16-19>260</Age: 16-19><Age: 20-24>240</Age: 20-24><Age: 25-29>180</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>190</Age: 40-44><Age: 45-49>250</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>110</Age: 60-64><Long Term Unemployed>390</Long Term Unemployed><Underemployed>320</Underemployed></row>
<row _id="31"><Date>2013-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1860</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1900</Total registered as ASW (seasonally adjusted)><Males>1030</Males><Females>840</Females><Age: 16-19>280</Age: 16-19><Age: 20-24>260</Age: 20-24><Age: 25-29>180</Age: 25-29><Age: 30-34>160</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>190</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>120</Age: 60-64><Long Term Unemployed>380</Long Term Unemployed><Underemployed>350</Underemployed></row>
<row _id="32"><Date>2013-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1820</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1880</Total registered as ASW (seasonally adjusted)><Males>990</Males><Females>820</Females><Age: 16-19>290</Age: 16-19><Age: 20-24>250</Age: 20-24><Age: 25-29>170</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>180</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>120</Age: 60-64><Long Term Unemployed>360</Long Term Unemployed><Underemployed>360</Underemployed></row>
<row _id="33"><Date>2013-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1810</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1870</Total registered as ASW (seasonally adjusted)><Males>1000</Males><Females>800</Females><Age: 16-19>320</Age: 16-19><Age: 20-24>230</Age: 20-24><Age: 25-29>170</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>110</Age: 60-64><Long Term Unemployed>360</Long Term Unemployed><Underemployed>350</Underemployed></row>
<row _id="34"><Date>2013-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1800</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1850</Total registered as ASW (seasonally adjusted)><Males>1040</Males><Females>770</Females><Age: 16-19>320</Age: 16-19><Age: 20-24>230</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>170</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>330</Long Term Unemployed><Underemployed>360</Underemployed></row>
<row _id="35"><Date>2013-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1810</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1810</Total registered as ASW (seasonally adjusted)><Males>1060</Males><Females>750</Females><Age: 16-19>300</Age: 16-19><Age: 20-24>240</Age: 20-24><Age: 25-29>180</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>170</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>320</Long Term Unemployed><Underemployed>380</Underemployed></row>
<row _id="36"><Date>2013-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1750</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1770</Total registered as ASW (seasonally adjusted)><Males>1030</Males><Females>720</Females><Age: 16-19>270</Age: 16-19><Age: 20-24>220</Age: 20-24><Age: 25-29>170</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>170</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>310</Long Term Unemployed><Underemployed>370</Underemployed></row>
<row _id="37"><Date>2014-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1860</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1810</Total registered as ASW (seasonally adjusted)><Males>1090</Males><Females>770</Females><Age: 16-19>280</Age: 16-19><Age: 20-24>230</Age: 20-24><Age: 25-29>170</Age: 25-29><Age: 30-34>160</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>180</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>200</Age: 50-54><Age: 55-59>170</Age: 55-59><Age: 60-64>110</Age: 60-64><Long Term Unemployed>310</Long Term Unemployed><Underemployed>350</Underemployed></row>
<row _id="38"><Date>2014-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1860</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1780</Total registered as ASW (seasonally adjusted)><Males>1080</Males><Females>780</Females><Age: 16-19>280</Age: 16-19><Age: 20-24>230</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>160</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>180</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>210</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>110</Age: 60-64><Long Term Unemployed>310</Long Term Unemployed><Underemployed>370</Underemployed></row>
<row _id="39"><Date>2014-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1730</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1740</Total registered as ASW (seasonally adjusted)><Males>980</Males><Females>760</Females><Age: 16-19>240</Age: 16-19><Age: 20-24>210</Age: 20-24><Age: 25-29>150</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>170</Age: 40-44><Age: 45-49>230</Age: 45-49><Age: 50-54>200</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>300</Long Term Unemployed><Underemployed>340</Underemployed></row>
<row _id="40"><Date>2014-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1610</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1640</Total registered as ASW (seasonally adjusted)><Males>900</Males><Females>720</Females><Age: 16-19>210</Age: 16-19><Age: 20-24>180</Age: 20-24><Age: 25-29>140</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>210</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>300</Long Term Unemployed><Underemployed>370</Underemployed></row>
<row _id="41"><Date>2014-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1530</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1590</Total registered as ASW (seasonally adjusted)><Males>840</Males><Females>700</Females><Age: 16-19>170</Age: 16-19><Age: 20-24>170</Age: 20-24><Age: 25-29>140</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>190</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>290</Long Term Unemployed><Underemployed>380</Underemployed></row>
<row _id="42"><Date>2014-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1510</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1540</Total registered as ASW (seasonally adjusted)><Males>790</Males><Females>710</Females><Age: 16-19>190</Age: 16-19><Age: 20-24>180</Age: 20-24><Age: 25-29>140</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>250</Long Term Unemployed><Underemployed>350</Underemployed></row>
<row _id="43"><Date>2014-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1520</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1550</Total registered as ASW (seasonally adjusted)><Males>780</Males><Females>740</Females><Age: 16-19>260</Age: 16-19><Age: 20-24>170</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed>360</Underemployed></row>
<row _id="44"><Date>2014-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1510</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1580</Total registered as ASW (seasonally adjusted)><Males>780</Males><Females>720</Females><Age: 16-19>260</Age: 16-19><Age: 20-24>160</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>250</Long Term Unemployed><Underemployed>360</Underemployed></row>
<row _id="45"><Date>2014-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1450</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1420</Total registered as ASW (seasonally adjusted)><Males>750</Males><Females>700</Females><Age: 16-19>240</Age: 16-19><Age: 20-24>160</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>130</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>250</Long Term Unemployed><Underemployed>360</Underemployed></row>
<row _id="46"><Date>2014-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1430</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1420</Total registered as ASW (seasonally adjusted)><Males>760</Males><Females>670</Females><Age: 16-19>220</Age: 16-19><Age: 20-24>140</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>150</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>230</Long Term Unemployed><Underemployed>370</Underemployed></row>
<row _id="47"><Date>2014-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1450</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1450</Total registered as ASW (seasonally adjusted)><Males>780</Males><Females>680</Females><Age: 16-19>220</Age: 16-19><Age: 20-24>160</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>150</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>230</Long Term Unemployed><Underemployed>390</Underemployed></row>
<row _id="48"><Date>2014-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1440</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1440</Total registered as ASW (seasonally adjusted)><Males>760</Males><Females>680</Females><Age: 16-19>200</Age: 16-19><Age: 20-24>140</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>210</Long Term Unemployed><Underemployed>410</Underemployed></row>
<row _id="49"><Date>2015-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1490</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1430</Total registered as ASW (seasonally adjusted)><Males>790</Males><Females>700</Females><Age: 16-19>210</Age: 16-19><Age: 20-24>150</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>210</Long Term Unemployed><Underemployed>390</Underemployed></row>
<row _id="50"><Date>2015-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1620</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1540</Total registered as ASW (seasonally adjusted)><Males>870</Males><Females>760</Females><Age: 16-19>210</Age: 16-19><Age: 20-24>170</Age: 20-24><Age: 25-29>140</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>190</Age: 40-44><Age: 45-49>200</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>210</Long Term Unemployed><Underemployed>410</Underemployed></row>
<row _id="51"><Date>2015-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1560</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1560</Total registered as ASW (seasonally adjusted)><Males>820</Males><Females>740</Females><Age: 16-19>180</Age: 16-19><Age: 20-24>170</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>170</Age: 40-44><Age: 45-49>190</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>170</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>420</Underemployed></row>
<row _id="52"><Date>2015-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1390</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1420</Total registered as ASW (seasonally adjusted)><Males>710</Males><Females>680</Females><Age: 16-19>160</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed>410</Underemployed></row>
<row _id="53"><Date>2015-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1400</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1460</Total registered as ASW (seasonally adjusted)><Males>730</Males><Females>670</Females><Age: 16-19>150</Age: 16-19><Age: 20-24>140</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>460</Underemployed></row>
<row _id="54"><Date>2015-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1450</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1480</Total registered as ASW (seasonally adjusted)><Males>730</Males><Females>720</Females><Age: 16-19>190</Age: 16-19><Age: 20-24>140</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed>480</Underemployed></row>
<row _id="55"><Date>2015-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1490</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1520</Total registered as ASW (seasonally adjusted)><Males>770</Males><Females>720</Females><Age: 16-19>240</Age: 16-19><Age: 20-24>150</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed>490</Underemployed></row>
<row _id="56"><Date>2015-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1400</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1430</Total registered as ASW (seasonally adjusted)><Males>710</Males><Females>690</Females><Age: 16-19>200</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed>460</Underemployed></row>
<row _id="57"><Date>2015-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1560</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1530</Total registered as ASW (seasonally adjusted)><Males>720</Males><Females>840</Females><Age: 16-19>190</Age: 16-19><Age: 20-24>140</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>190</Age: 30-34><Age: 35-39>180</Age: 35-39><Age: 40-44>180</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>460</Underemployed></row>
<row _id="58"><Date>2015-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1520</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1510</Total registered as ASW (seasonally adjusted)><Males>720</Males><Females>800</Females><Age: 16-19>170</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>170</Age: 30-34><Age: 35-39>170</Age: 35-39><Age: 40-44>180</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed>460</Underemployed></row>
<row _id="59"><Date>2015-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1490</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1490</Total registered as ASW (seasonally adjusted)><Males>710</Males><Females>780</Females><Age: 16-19>150</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>150</Age: 25-29><Age: 30-34>170</Age: 30-34><Age: 35-39>170</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>460</Underemployed></row>
<row _id="60"><Date>2015-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1390</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1390</Total registered as ASW (seasonally adjusted)><Males>670</Males><Females>720</Females><Age: 16-19>150</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>140</Age: 25-29><Age: 30-34>160</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>410</Underemployed></row>
<row _id="61"><Date>2016-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1470</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1420</Total registered as ASW (seasonally adjusted)><Males>730</Males><Females>740</Females><Age: 16-19>170</Age: 16-19><Age: 20-24>150</Age: 20-24><Age: 25-29>140</Age: 25-29><Age: 30-34>160</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>210</Long Term Unemployed><Underemployed>400</Underemployed></row>
<row _id="62"><Date>2016-02-29T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1500</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1430</Total registered as ASW (seasonally adjusted)><Males>750</Males><Females>750</Females><Age: 16-19>150</Age: 16-19><Age: 20-24>140</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>160</Age: 30-34><Age: 35-39>170</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>190</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>230</Long Term Unemployed><Underemployed>430</Underemployed></row>
<row _id="63"><Date>2016-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1380</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1370</Total registered as ASW (seasonally adjusted)><Males>690</Males><Females>700</Females><Age: 16-19>160</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>230</Long Term Unemployed><Underemployed>420</Underemployed></row>
<row _id="64"><Date>2016-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1360</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1390</Total registered as ASW (seasonally adjusted)><Males>630</Males><Females>720</Females><Age: 16-19>130</Age: 16-19><Age: 20-24>110</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>220</Long Term Unemployed><Underemployed>460</Underemployed></row>
<row _id="65"><Date>2016-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1380</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1430</Total registered as ASW (seasonally adjusted)><Males>620</Males><Females>750</Females><Age: 16-19>140</Age: 16-19><Age: 20-24>110</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>250</Long Term Unemployed><Underemployed>520</Underemployed></row>
<row _id="66"><Date>2016-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1390</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1420</Total registered as ASW (seasonally adjusted)><Males>660</Males><Females>730</Females><Age: 16-19>170</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>250</Long Term Unemployed><Underemployed>480</Underemployed></row>
<row _id="67"><Date>2016-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1330</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1350</Total registered as ASW (seasonally adjusted)><Males>630</Males><Females>690</Females><Age: 16-19>180</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>120</Age: 35-39><Age: 40-44>130</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed>420</Underemployed></row>
<row _id="68"><Date>2016-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1340</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1380</Total registered as ASW (seasonally adjusted)><Males>630</Males><Females>710</Females><Age: 16-19>160</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>130</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>180</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>250</Long Term Unemployed><Underemployed>430</Underemployed></row>
<row _id="69"><Date>2016-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1430</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1390</Total registered as ASW (seasonally adjusted)><Males>670</Males><Females>760</Females><Age: 16-19>150</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>170</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>290</Long Term Unemployed><Underemployed>420</Underemployed></row>
<row _id="70"><Date>2016-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1390</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1380</Total registered as ASW (seasonally adjusted)><Males>660</Males><Females>730</Females><Age: 16-19>140</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>150</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>160</Age: 35-39><Age: 40-44>130</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>270</Long Term Unemployed><Underemployed>410</Underemployed></row>
<row _id="71"><Date>2016-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1310</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1320</Total registered as ASW (seasonally adjusted)><Males>640</Males><Females>670</Females><Age: 16-19>130</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>120</Age: 40-44><Age: 45-49>150</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>260</Long Term Unemployed><Underemployed>400</Underemployed></row>
<row _id="72"><Date>2016-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1280</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1270</Total registered as ASW (seasonally adjusted)><Males>630</Males><Females>650</Females><Age: 16-19>120</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>120</Age: 40-44><Age: 45-49>150</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>270</Long Term Unemployed><Underemployed>370</Underemployed></row>
<row _id="73"><Date>2017-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1320</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1270</Total registered as ASW (seasonally adjusted)><Males>640</Males><Females>680</Females><Age: 16-19>130</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>130</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>120</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>260</Long Term Unemployed><Underemployed>340</Underemployed></row>
<row _id="74"><Date>2017-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1250</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1190</Total registered as ASW (seasonally adjusted)><Males>600</Males><Females>650</Females><Age: 16-19>110</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>110</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>270</Long Term Unemployed><Underemployed>330</Underemployed></row>
<row _id="75"><Date>2017-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1180</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1180</Total registered as ASW (seasonally adjusted)><Males>570</Males><Females>610</Females><Age: 16-19>100</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>120</Age: 35-39><Age: 40-44>110</Age: 40-44><Age: 45-49>140</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>140</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>270</Long Term Unemployed><Underemployed>320</Underemployed></row>
<row _id="76"><Date>2017-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1140</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1150</Total registered as ASW (seasonally adjusted)><Males>540</Males><Females>590</Females><Age: 16-19>110</Age: 16-19><Age: 20-24>110</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>100</Age: 40-44><Age: 45-49>140</Age: 45-49><Age: 50-54>150</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>280</Long Term Unemployed><Underemployed>330</Underemployed></row>
<row _id="77"><Date>2017-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1030</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1080</Total registered as ASW (seasonally adjusted)><Males>500</Males><Females>540</Females><Age: 16-19>100</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>100</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>130</Age: 45-49><Age: 50-54>140</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>280</Long Term Unemployed><Underemployed>300</Underemployed></row>
<row _id="78"><Date>2017-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1000</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1040</Total registered as ASW (seasonally adjusted)><Males>490</Males><Females>510</Females><Age: 16-19>110</Age: 16-19><Age: 20-24>100</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>120</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>280</Long Term Unemployed><Underemployed>280</Underemployed></row>
<row _id="79"><Date>2017-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>940</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>970</Total registered as ASW (seasonally adjusted)><Males>450</Males><Females>490</Females><Age: 16-19>120</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>50</Age: 60-64><Long Term Unemployed>260</Long Term Unemployed><Underemployed>280</Underemployed></row>
<row _id="80"><Date>2017-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>970</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1010</Total registered as ASW (seasonally adjusted)><Males>440</Males><Females>530</Females><Age: 16-19>110</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>100</Age: 25-29><Age: 30-34>100</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>50</Age: 60-64><Long Term Unemployed>260</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="81"><Date>2017-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>980</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>940</Total registered as ASW (seasonally adjusted)><Males>420</Males><Females>560</Females><Age: 16-19>100</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>100</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>110</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>50</Age: 60-64><Long Term Unemployed>270</Long Term Unemployed><Underemployed>310</Underemployed></row>
<row _id="82"><Date>2017-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>950</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>930</Total registered as ASW (seasonally adjusted)><Males>430</Males><Females>520</Females><Age: 16-19>100</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>260</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="83"><Date>2017-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>920</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>930</Total registered as ASW (seasonally adjusted)><Males>440</Males><Females>480</Females><Age: 16-19>100</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed>280</Underemployed></row>
<row _id="84"><Date>2017-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>950</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>940</Total registered as ASW (seasonally adjusted)><Males>440</Males><Females>510</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>100</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>230</Long Term Unemployed><Underemployed>310</Underemployed></row>
<row _id="85"><Date>2018-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>940</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>890</Total registered as ASW (seasonally adjusted)><Males>440</Males><Females>490</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>100</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>230</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="86"><Date>2018-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>910</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>870</Total registered as ASW (seasonally adjusted)><Males>430</Males><Females>490</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>90</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>220</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="87"><Date>2018-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>910</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>890</Total registered as ASW (seasonally adjusted)><Males>410</Males><Females>500</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>210</Long Term Unemployed><Underemployed>280</Underemployed></row>
<row _id="88"><Date>2018-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>850</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>870</Total registered as ASW (seasonally adjusted)><Males>410</Males><Females>440</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>280</Underemployed></row>
<row _id="89"><Date>2018-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>820</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>860</Total registered as ASW (seasonally adjusted)><Males>380</Males><Females>440</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="90"><Date>2018-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>820</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>860</Total registered as ASW (seasonally adjusted)><Males>390</Males><Females>430</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>70</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed>270</Underemployed></row>
<row _id="91"><Date>2018-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>870</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>890</Total registered as ASW (seasonally adjusted)><Males>410</Males><Females>450</Females><Age: 16-19>100</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed>280</Underemployed></row>
<row _id="92"><Date>2018-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>820</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>860</Total registered as ASW (seasonally adjusted)><Males>380</Males><Females>440</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>100</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed>260</Underemployed></row>
<row _id="93"><Date>2018-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>970</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>930</Total registered as ASW (seasonally adjusted)><Males>390</Males><Females>580</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>100</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>120</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="94"><Date>2018-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>940</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>910</Total registered as ASW (seasonally adjusted)><Males>380</Males><Females>570</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>100</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="95"><Date>2018-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>860</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>870</Total registered as ASW (seasonally adjusted)><Males>360</Males><Females>500</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>100</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="96"><Date>2018-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>890</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>880</Total registered as ASW (seasonally adjusted)><Males>390</Males><Females>500</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>100</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>210</Long Term Unemployed><Underemployed>280</Underemployed></row>
<row _id="97"><Date>2019-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>920</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>880</Total registered as ASW (seasonally adjusted)><Males>420</Males><Females>500</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>210</Long Term Unemployed><Underemployed>280</Underemployed></row>
<row _id="98"><Date>2019-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>880</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>840</Total registered as ASW (seasonally adjusted)><Males>400</Males><Females>480</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>90</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>260</Underemployed></row>
<row _id="99"><Date>2019-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>840</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>840</Total registered as ASW (seasonally adjusted)><Males>380</Males><Females>470</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>260</Underemployed></row>
<row _id="100"><Date>2019-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>860</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>860</Total registered as ASW (seasonally adjusted)><Males>390</Males><Females>470</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>120</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>270</Underemployed></row>
<row _id="101"><Date>2019-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>840</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>880</Total registered as ASW (seasonally adjusted)><Males>380</Males><Females>460</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>100</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>260</Underemployed></row>
<row _id="102"><Date>2019-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>820</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>870</Total registered as ASW (seasonally adjusted)><Males>360</Males><Females>460</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>100</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>260</Underemployed></row>
<row _id="103"><Date>2019-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>850</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>870</Total registered as ASW (seasonally adjusted)><Males>370</Males><Females>480</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>60</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>100</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>210</Long Term Unemployed><Underemployed>260</Underemployed></row>
<row _id="104"><Date>2019-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>830</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>880</Total registered as ASW (seasonally adjusted)><Males>370</Males><Females>470</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>60</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>100</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>60</Age: 60-64><Long Term Unemployed>220</Long Term Unemployed><Underemployed>260</Underemployed></row>
<row _id="105"><Date>2019-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>920</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>870</Total registered as ASW (seasonally adjusted)><Males>350</Males><Females>570</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>100</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="106"><Date>2019-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>930</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>900</Total registered as ASW (seasonally adjusted)><Males>370</Males><Females>560</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed>280</Underemployed></row>
<row _id="107"><Date>2019-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>890</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>900</Total registered as ASW (seasonally adjusted)><Males>360</Males><Females>520</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>100</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed>300</Underemployed></row>
<row _id="108"><Date>2019-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>880</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>860</Total registered as ASW (seasonally adjusted)><Males>370</Males><Females>510</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>100</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>100</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed>310</Underemployed></row>
<row _id="109"><Date>2020-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>880</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>830</Total registered as ASW (seasonally adjusted)><Males>370</Males><Females>500</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>100</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>230</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="110"><Date>2020-02-29T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>860</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>820</Total registered as ASW (seasonally adjusted)><Males>360</Males><Females>500</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="111"><Date>2020-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1010</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1000</Total registered as ASW (seasonally adjusted)><Males>440</Males><Females>570</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>90</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>100</Age: 40-44><Age: 45-49>130</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>250</Long Term Unemployed><Underemployed>270</Underemployed></row>
<row _id="112"><Date>2020-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>2180</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>2180</Total registered as ASW (seasonally adjusted)><Males>1090</Males><Females>1090</Females><Age: 16-19>90</Age: 16-19><Age: 20-24>180</Age: 20-24><Age: 25-29>240</Age: 25-29><Age: 30-34>260</Age: 30-34><Age: 35-39>250</Age: 35-39><Age: 40-44>250</Age: 40-44><Age: 45-49>240</Age: 45-49><Age: 50-54>260</Age: 50-54><Age: 55-59>240</Age: 55-59><Age: 60-64>180</Age: 60-64><Long Term Unemployed>270</Long Term Unemployed><Underemployed>390</Underemployed></row>
<row _id="113"><Date>2020-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>2290</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>2330</Total registered as ASW (seasonally adjusted)><Males>1110</Males><Females>1180</Females><Age: 16-19>90</Age: 16-19><Age: 20-24>180</Age: 20-24><Age: 25-29>240</Age: 25-29><Age: 30-34>270</Age: 30-34><Age: 35-39>260</Age: 35-39><Age: 40-44>250</Age: 40-44><Age: 45-49>250</Age: 45-49><Age: 50-54>270</Age: 50-54><Age: 55-59>270</Age: 55-59><Age: 60-64>200</Age: 60-64><Long Term Unemployed>280</Long Term Unemployed><Underemployed>430</Underemployed></row>
<row _id="114"><Date>2020-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1950</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>2010</Total registered as ASW (seasonally adjusted)><Males>920</Males><Females>1030</Females><Age: 16-19>90</Age: 16-19><Age: 20-24>150</Age: 20-24><Age: 25-29>210</Age: 25-29><Age: 30-34>220</Age: 30-34><Age: 35-39>210</Age: 35-39><Age: 40-44>210</Age: 40-44><Age: 45-49>220</Age: 45-49><Age: 50-54>230</Age: 50-54><Age: 55-59>230</Age: 55-59><Age: 60-64>180</Age: 60-64><Long Term Unemployed>290</Long Term Unemployed><Underemployed>440</Underemployed></row>
<row _id="115"><Date>2020-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1740</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1760</Total registered as ASW (seasonally adjusted)><Males>820</Males><Females>920</Females><Age: 16-19>90</Age: 16-19><Age: 20-24>140</Age: 20-24><Age: 25-29>170</Age: 25-29><Age: 30-34>180</Age: 30-34><Age: 35-39>180</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>200</Age: 45-49><Age: 50-54>210</Age: 50-54><Age: 55-59>230</Age: 55-59><Age: 60-64>170</Age: 60-64><Long Term Unemployed>310</Long Term Unemployed><Underemployed>440</Underemployed></row>
<row _id="116"><Date>2020-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1590</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1630</Total registered as ASW (seasonally adjusted)><Males>760</Males><Females>830</Females><Age: 16-19>110</Age: 16-19><Age: 20-24>110</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>170</Age: 30-34><Age: 35-39>160</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>180</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>210</Age: 55-59><Age: 60-64>170</Age: 60-64><Long Term Unemployed>310</Long Term Unemployed><Underemployed>420</Underemployed></row>
<row _id="117"><Date>2020-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1580</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1530</Total registered as ASW (seasonally adjusted)><Males>680</Males><Females>900</Females><Age: 16-19>100</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>160</Age: 25-29><Age: 30-34>180</Age: 30-34><Age: 35-39>170</Age: 35-39><Age: 40-44>160</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>190</Age: 50-54><Age: 55-59>180</Age: 55-59><Age: 60-64>160</Age: 60-64><Long Term Unemployed>360</Long Term Unemployed><Underemployed>470</Underemployed></row>
<row _id="118"><Date>2020-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1470</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1440</Total registered as ASW (seasonally adjusted)><Males>640</Males><Females>830</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>150</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>160</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>170</Age: 55-59><Age: 60-64>160</Age: 60-64><Long Term Unemployed>370</Long Term Unemployed><Underemployed>460</Underemployed></row>
<row _id="119"><Date>2020-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1380</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1390</Total registered as ASW (seasonally adjusted)><Males>610</Males><Females>760</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>110</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>160</Age: 45-49><Age: 50-54>160</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>150</Age: 60-64><Long Term Unemployed>380</Long Term Unemployed><Underemployed>440</Underemployed></row>
<row _id="120"><Date>2020-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1400</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1380</Total registered as ASW (seasonally adjusted)><Males>640</Males><Females>760</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>100</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>140</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>180</Age: 55-59><Age: 60-64>150</Age: 60-64><Long Term Unemployed>390</Long Term Unemployed><Underemployed>410</Underemployed></row>
<row _id="121"><Date>2021-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1450</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1420</Total registered as ASW (seasonally adjusted)><Males>660</Males><Females>790</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>110</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>150</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>190</Age: 55-59><Age: 60-64>160</Age: 60-64><Long Term Unemployed>410</Long Term Unemployed><Underemployed>420</Underemployed></row>
<row _id="122"><Date>2021-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1410</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1380</Total registered as ASW (seasonally adjusted)><Males>630</Males><Females>780</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>130</Age: 20-24><Age: 25-29>130</Age: 25-29><Age: 30-34>150</Age: 30-34><Age: 35-39>150</Age: 35-39><Age: 40-44>140</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>170</Age: 50-54><Age: 55-59>170</Age: 55-59><Age: 60-64>150</Age: 60-64><Long Term Unemployed>420</Long Term Unemployed><Underemployed>410</Underemployed></row>
<row _id="123"><Date>2021-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1320</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1300</Total registered as ASW (seasonally adjusted)><Males>590</Males><Females>730</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>120</Age: 20-24><Age: 25-29>120</Age: 25-29><Age: 30-34>140</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>130</Age: 40-44><Age: 45-49>170</Age: 45-49><Age: 50-54>150</Age: 50-54><Age: 55-59>160</Age: 55-59><Age: 60-64>150</Age: 60-64><Long Term Unemployed>450</Long Term Unemployed><Underemployed>400</Underemployed></row>
<row _id="124"><Date>2021-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1210</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1230</Total registered as ASW (seasonally adjusted)><Males>540</Males><Females>670</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>110</Age: 20-24><Age: 25-29>110</Age: 25-29><Age: 30-34>120</Age: 30-34><Age: 35-39>130</Age: 35-39><Age: 40-44>110</Age: 40-44><Age: 45-49>150</Age: 45-49><Age: 50-54>140</Age: 50-54><Age: 55-59>150</Age: 55-59><Age: 60-64>130</Age: 60-64><Long Term Unemployed>520</Long Term Unemployed><Underemployed>390</Underemployed></row>
<row _id="125"><Date>2021-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1100</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1140</Total registered as ASW (seasonally adjusted)><Males>490</Males><Females>610</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>100</Age: 20-24><Age: 25-29>100</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>110</Age: 40-44><Age: 45-49>140</Age: 45-49><Age: 50-54>130</Age: 50-54><Age: 55-59>130</Age: 55-59><Age: 60-64>110</Age: 60-64><Long Term Unemployed>490</Long Term Unemployed><Underemployed>350</Underemployed></row>
<row _id="126"><Date>2021-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>1000</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>1070</Total registered as ASW (seasonally adjusted)><Males>450</Males><Females>560</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>100</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>100</Age: 40-44><Age: 45-49>130</Age: 45-49><Age: 50-54>120</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>110</Age: 60-64><Long Term Unemployed>450</Long Term Unemployed><Underemployed>340</Underemployed></row>
<row _id="127"><Date>2021-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>970</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>990</Total registered as ASW (seasonally adjusted)><Males>430</Males><Females>540</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>100</Age: 40-44><Age: 45-49>120</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>110</Age: 55-59><Age: 60-64>100</Age: 60-64><Long Term Unemployed>430</Long Term Unemployed><Underemployed>330</Underemployed></row>
<row _id="128"><Date>2021-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>930</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>970</Total registered as ASW (seasonally adjusted)><Males>410</Males><Females>520</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>120</Age: 45-49><Age: 50-54>110</Age: 50-54><Age: 55-59>100</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>410</Long Term Unemployed><Underemployed>340</Underemployed></row>
<row _id="129"><Date>2021-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>990</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>930</Total registered as ASW (seasonally adjusted)><Males>390</Males><Females>600</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>90</Age: 20-24><Age: 25-29>100</Age: 25-29><Age: 30-34>110</Age: 30-34><Age: 35-39>120</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>110</Age: 45-49><Age: 50-54>100</Age: 50-54><Age: 55-59>120</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>410</Long Term Unemployed><Underemployed>360</Underemployed></row>
<row _id="130"><Date>2021-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>880</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>850</Total registered as ASW (seasonally adjusted)><Males>350</Males><Females>530</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>100</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>90</Age: 45-49><Age: 50-54>100</Age: 50-54><Age: 55-59>100</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>380</Long Term Unemployed><Underemployed>340</Underemployed></row>
<row _id="131"><Date>2021-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>820</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>820</Total registered as ASW (seasonally adjusted)><Males>350</Males><Females>470</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>80</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>340</Long Term Unemployed><Underemployed>300</Underemployed></row>
<row _id="132"><Date>2021-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>810</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>790</Total registered as ASW (seasonally adjusted)><Males>350</Males><Females>460</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>80</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>90</Age: 40-44><Age: 45-49>80</Age: 45-49><Age: 50-54>100</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>320</Long Term Unemployed><Underemployed>290</Underemployed></row>
<row _id="133"><Date>2022-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>740</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>710</Total registered as ASW (seasonally adjusted)><Males>320</Males><Females>420</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>70</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>290</Long Term Unemployed><Underemployed>270</Underemployed></row>
<row _id="134"><Date>2022-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>750</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>720</Total registered as ASW (seasonally adjusted)><Males>320</Males><Females>430</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>80</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>290</Long Term Unemployed><Underemployed>260</Underemployed></row>
<row _id="135"><Date>2022-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>720</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>710</Total registered as ASW (seasonally adjusted)><Males>310</Males><Females>400</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>60</Age: 30-34><Age: 35-39>60</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>270</Long Term Unemployed><Underemployed>250</Underemployed></row>
<row _id="136"><Date>2022-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>700</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>710</Total registered as ASW (seasonally adjusted)><Males>310</Males><Females>390</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>60</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>260</Long Term Unemployed><Underemployed>240</Underemployed></row>
<row _id="137"><Date>2022-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>660</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>700</Total registered as ASW (seasonally adjusted)><Males>290</Males><Females>370</Females><Age: 16-19>40</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>60</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>50</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>240</Long Term Unemployed><Underemployed>240</Underemployed></row>
<row _id="138"><Date>2022-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>620</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>680</Total registered as ASW (seasonally adjusted)><Males>270</Males><Females>350</Females><Age: 16-19>40</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>60</Age: 30-34><Age: 35-39>60</Age: 35-39><Age: 40-44>60</Age: 40-44><Age: 45-49>50</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>220</Long Term Unemployed><Underemployed>220</Underemployed></row>
<row _id="139"><Date>2022-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>680</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>690</Total registered as ASW (seasonally adjusted)><Males>290</Males><Females>380</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>60</Age: 30-34><Age: 35-39>60</Age: 35-39><Age: 40-44>60</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>220</Long Term Unemployed><Underemployed>240</Underemployed></row>
<row _id="140"><Date>2022-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>690</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>710</Total registered as ASW (seasonally adjusted)><Males>300</Males><Females>390</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>60</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>100</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>240</Underemployed></row>
<row _id="141"><Date>2022-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>810</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>750</Total registered as ASW (seasonally adjusted)><Males>320</Males><Females>490</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>90</Age: 30-34><Age: 35-39>110</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>210</Long Term Unemployed><Underemployed>270</Underemployed></row>
<row _id="142"><Date>2022-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>760</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>720</Total registered as ASW (seasonally adjusted)><Males>310</Males><Females>450</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>70</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>90</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>260</Underemployed></row>
<row _id="143"><Date>2022-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>690</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>680</Total registered as ASW (seasonally adjusted)><Males>290</Males><Females>400</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>80</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>250</Underemployed></row>
<row _id="144"><Date>2022-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>670</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>650</Total registered as ASW (seasonally adjusted)><Males>280</Males><Females>390</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>250</Underemployed></row>
<row _id="145"><Date>2023-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>670</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>640</Total registered as ASW (seasonally adjusted)><Males>280</Males><Females>390</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>40</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>190</Long Term Unemployed><Underemployed>230</Underemployed></row>
<row _id="146"><Date>2023-02-28T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>630</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>610</Total registered as ASW (seasonally adjusted)><Males>270</Males><Females>360</Females><Age: 16-19>40</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>40</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>230</Underemployed></row>
<row _id="147"><Date>2023-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>610</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>610</Total registered as ASW (seasonally adjusted)><Males>280</Males><Females>330</Females><Age: 16-19>40</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>50</Age: 25-29><Age: 30-34>40</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>60</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="148"><Date>2023-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>600</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>620</Total registered as ASW (seasonally adjusted)><Males>270</Males><Females>330</Females><Age: 16-19>30</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>40</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="149"><Date>2023-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>610</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>650</Total registered as ASW (seasonally adjusted)><Males>280</Males><Females>330</Females><Age: 16-19>30</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>60</Age: 40-44><Age: 45-49>50</Age: 45-49><Age: 50-54>80</Age: 50-54><Age: 55-59>90</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>200</Underemployed></row>
<row _id="150"><Date>2023-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>610</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>670</Total registered as ASW (seasonally adjusted)><Males>280</Males><Females>330</Females><Age: 16-19>40</Age: 16-19><Age: 20-24>50</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>60</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed>200</Underemployed></row>
<row _id="151"><Date>2023-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>670</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>680</Total registered as ASW (seasonally adjusted)><Males>300</Males><Females>370</Females><Age: 16-19>90</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>60</Age: 40-44><Age: 45-49>60</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>70</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="152"><Date>2023-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>650</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>670</Total registered as ASW (seasonally adjusted)><Males>300</Males><Females>350</Females><Age: 16-19>80</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>60</Age: 40-44><Age: 45-49>50</Age: 45-49><Age: 50-54>60</Age: 50-54><Age: 55-59>70</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="153"><Date>2023-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>700</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>640</Total registered as ASW (seasonally adjusted)><Males>280</Males><Females>420</Females><Age: 16-19>70</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>60</Age: 30-34><Age: 35-39>100</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>50</Age: 45-49><Age: 50-54>60</Age: 50-54><Age: 55-59>70</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>250</Underemployed></row>
<row _id="154"><Date>2023-10-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>710</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>670</Total registered as ASW (seasonally adjusted)><Males>300</Males><Females>410</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>70</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>60</Age: 50-54><Age: 55-59>70</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>230</Underemployed></row>
<row _id="155"><Date>2023-11-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>710</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>700</Total registered as ASW (seasonally adjusted)><Males>320</Males><Females>390</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>70</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>220</Underemployed></row>
<row _id="156"><Date>2023-12-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>720</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>700</Total registered as ASW (seasonally adjusted)><Males>330</Males><Females>390</Females><Age: 16-19>60</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>80</Age: 25-29><Age: 30-34>70</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>80</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>70</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>230</Underemployed></row>
<row _id="157"><Date>2024-01-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>710</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>690</Total registered as ASW (seasonally adjusted)><Males>330</Males><Females>380</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>70</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed>230</Underemployed></row>
<row _id="158"><Date>2024-02-29T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>710</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>700</Total registered as ASW (seasonally adjusted)><Males>340</Males><Females>370</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>70</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>80</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="159"><Date>2024-03-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>700</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>710</Total registered as ASW (seasonally adjusted)><Males>330</Males><Females>370</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>60</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>80</Age: 45-49><Age: 50-54>80</Age: 50-54><Age: 55-59>70</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>220</Underemployed></row>
<row _id="160"><Date>2024-04-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>680</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>690</Total registered as ASW (seasonally adjusted)><Males>330</Males><Females>350</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>60</Age: 25-29><Age: 30-34>60</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>70</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="161"><Date>2024-05-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>670</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>710</Total registered as ASW (seasonally adjusted)><Males>310</Males><Females>360</Females><Age: 16-19>40</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>200</Underemployed></row>
<row _id="162"><Date>2024-06-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>670</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>740</Total registered as ASW (seasonally adjusted)><Males>320</Males><Females>350</Females><Age: 16-19>50</Age: 16-19><Age: 20-24>60</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>80</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>70</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>170</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="163"><Date>2024-07-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>750</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>760</Total registered as ASW (seasonally adjusted)><Males>360</Males><Females>390</Females><Age: 16-19>100</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>80</Age: 45-49><Age: 50-54>80</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>210</Underemployed></row>
<row _id="164"><Date>2024-08-31T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>740</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>770</Total registered as ASW (seasonally adjusted)><Males>370</Males><Females>370</Females><Age: 16-19>100</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>50</Age: 30-34><Age: 35-39>70</Age: 35-39><Age: 40-44>70</Age: 40-44><Age: 45-49>70</Age: 45-49><Age: 50-54>80</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>90</Age: 60-64><Long Term Unemployed>180</Long Term Unemployed><Underemployed>200</Underemployed></row>
<row _id="165"><Date>2024-09-30T00:00:00</Date><Total registered as ASW (non-seasonally adjusted)>800</Total registered as ASW (non-seasonally adjusted)><Total registered as ASW (seasonally adjusted)>740</Total registered as ASW (seasonally adjusted)><Males>350</Males><Females>450</Females><Age: 16-19>90</Age: 16-19><Age: 20-24>70</Age: 20-24><Age: 25-29>70</Age: 25-29><Age: 30-34>70</Age: 30-34><Age: 35-39>90</Age: 35-39><Age: 40-44>100</Age: 40-44><Age: 45-49>80</Age: 45-49><Age: 50-54>80</Age: 50-54><Age: 55-59>80</Age: 55-59><Age: 60-64>80</Age: 60-64><Long Term Unemployed>200</Long Term Unemployed><Underemployed>230</Underemployed></row>
</data>
