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<row _id="1"><year>2024</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>68182</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="2"><year>2024</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>46913</median_earnings><earnings_gap_from_male>21269</earnings_gap_from_male><earnings_gap_from_male_percent>0.312</earnings_gap_from_male_percent></row>
<row _id="3"><year>2024</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>57249</median_earnings><earnings_gap_from_male>10933</earnings_gap_from_male><earnings_gap_from_male_percent>0.16</earnings_gap_from_male_percent></row>
<row _id="4"><year>2023</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>68764</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="5"><year>2023</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>47404</median_earnings><earnings_gap_from_male>21360</earnings_gap_from_male><earnings_gap_from_male_percent>0.311</earnings_gap_from_male_percent></row>
<row _id="6"><year>2023</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>58141</median_earnings><earnings_gap_from_male>10623</earnings_gap_from_male><earnings_gap_from_male_percent>0.154</earnings_gap_from_male_percent></row>
<row _id="7"><year>2022</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>73285</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="8"><year>2022</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>48433</median_earnings><earnings_gap_from_male>24852</earnings_gap_from_male><earnings_gap_from_male_percent>0.339</earnings_gap_from_male_percent></row>
<row _id="9"><year>2022</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>60007</median_earnings><earnings_gap_from_male>13278</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="10"><year>2021</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>71814</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="11"><year>2021</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>47665</median_earnings><earnings_gap_from_male>24149</earnings_gap_from_male><earnings_gap_from_male_percent>0.336</earnings_gap_from_male_percent></row>
<row _id="12"><year>2021</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>59520</median_earnings><earnings_gap_from_male>12294</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="13"><year>2019</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>70182</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="14"><year>2019</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>48207</median_earnings><earnings_gap_from_male>21975</earnings_gap_from_male><earnings_gap_from_male_percent>0.313</earnings_gap_from_male_percent></row>
<row _id="15"><year>2019</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>59595</median_earnings><earnings_gap_from_male>10587</earnings_gap_from_male><earnings_gap_from_male_percent>0.151</earnings_gap_from_male_percent></row>
<row _id="16"><year>2018</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>66409</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="17"><year>2018</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>45897</median_earnings><earnings_gap_from_male>20512</earnings_gap_from_male><earnings_gap_from_male_percent>0.309</earnings_gap_from_male_percent></row>
<row _id="18"><year>2018</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>56591</median_earnings><earnings_gap_from_male>9818</earnings_gap_from_male><earnings_gap_from_male_percent>0.148</earnings_gap_from_male_percent></row>
<row _id="19"><year>2017</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>66184</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="20"><year>2017</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>46992</median_earnings><earnings_gap_from_male>19192</earnings_gap_from_male><earnings_gap_from_male_percent>0.29</earnings_gap_from_male_percent></row>
<row _id="21"><year>2017</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>56508</median_earnings><earnings_gap_from_male>9676</earnings_gap_from_male><earnings_gap_from_male_percent>0.146</earnings_gap_from_male_percent></row>
<row _id="22"><year>2016</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>65152</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="23"><year>2016</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>43042</median_earnings><earnings_gap_from_male>22110</earnings_gap_from_male><earnings_gap_from_male_percent>0.339</earnings_gap_from_male_percent></row>
<row _id="24"><year>2016</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>53379</median_earnings><earnings_gap_from_male>11773</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="25"><year>2015</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>67403</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="26"><year>2015</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>42738</median_earnings><earnings_gap_from_male>24665</earnings_gap_from_male><earnings_gap_from_male_percent>0.366</earnings_gap_from_male_percent></row>
<row _id="27"><year>2015</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>55070</median_earnings><earnings_gap_from_male>12333</earnings_gap_from_male><earnings_gap_from_male_percent>0.183</earnings_gap_from_male_percent></row>
<row _id="28"><year>2014</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>64374</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="29"><year>2014</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>44027</median_earnings><earnings_gap_from_male>20347</earnings_gap_from_male><earnings_gap_from_male_percent>0.316</earnings_gap_from_male_percent></row>
<row _id="30"><year>2014</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>54411</median_earnings><earnings_gap_from_male>9963</earnings_gap_from_male><earnings_gap_from_male_percent>0.155</earnings_gap_from_male_percent></row>
<row _id="31"><year>2013</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>63571</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="32"><year>2013</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>42294</median_earnings><earnings_gap_from_male>21277</earnings_gap_from_male><earnings_gap_from_male_percent>0.335</earnings_gap_from_male_percent></row>
<row _id="33"><year>2013</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>54754</median_earnings><earnings_gap_from_male>8817</earnings_gap_from_male><earnings_gap_from_male_percent>0.139</earnings_gap_from_male_percent></row>
<row _id="34"><year>2012</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>64456</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="35"><year>2012</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>44215</median_earnings><earnings_gap_from_male>20241</earnings_gap_from_male><earnings_gap_from_male_percent>0.314</earnings_gap_from_male_percent></row>
<row _id="36"><year>2012</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>55403</median_earnings><earnings_gap_from_male>9053</earnings_gap_from_male><earnings_gap_from_male_percent>0.14</earnings_gap_from_male_percent></row>
<row _id="37"><year>2011</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>64168</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="38"><year>2011</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>44037</median_earnings><earnings_gap_from_male>20131</earnings_gap_from_male><earnings_gap_from_male_percent>0.314</earnings_gap_from_male_percent></row>
<row _id="39"><year>2011</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>54618</median_earnings><earnings_gap_from_male>9550</earnings_gap_from_male><earnings_gap_from_male_percent>0.149</earnings_gap_from_male_percent></row>
<row _id="40"><year>2010</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>65963</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="41"><year>2010</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>41047</median_earnings><earnings_gap_from_male>24916</earnings_gap_from_male><earnings_gap_from_male_percent>0.378</earnings_gap_from_male_percent></row>
<row _id="42"><year>2010</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>52937</median_earnings><earnings_gap_from_male>13026</earnings_gap_from_male><earnings_gap_from_male_percent>0.197</earnings_gap_from_male_percent></row>
<row _id="43"><year>2009</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>67094</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="44"><year>2009</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>42220</median_earnings><earnings_gap_from_male>24874</earnings_gap_from_male><earnings_gap_from_male_percent>0.371</earnings_gap_from_male_percent></row>
<row _id="45"><year>2009</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>54480</median_earnings><earnings_gap_from_male>12614</earnings_gap_from_male><earnings_gap_from_male_percent>0.188</earnings_gap_from_male_percent></row>
<row _id="46"><year>2008</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>69564</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="47"><year>2008</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>44629</median_earnings><earnings_gap_from_male>24935</earnings_gap_from_male><earnings_gap_from_male_percent>0.358</earnings_gap_from_male_percent></row>
<row _id="48"><year>2008</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>57351</median_earnings><earnings_gap_from_male>12213</earnings_gap_from_male><earnings_gap_from_male_percent>0.176</earnings_gap_from_male_percent></row>
<row _id="49"><year>2007</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>69083</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="50"><year>2007</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>43523</median_earnings><earnings_gap_from_male>25560</earnings_gap_from_male><earnings_gap_from_male_percent>0.37</earnings_gap_from_male_percent></row>
<row _id="51"><year>2007</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>55193</median_earnings><earnings_gap_from_male>13890</earnings_gap_from_male><earnings_gap_from_male_percent>0.201</earnings_gap_from_male_percent></row>
<row _id="52"><year>2006</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>73825</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="53"><year>2006</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>43014</median_earnings><earnings_gap_from_male>30811</earnings_gap_from_male><earnings_gap_from_male_percent>0.417</earnings_gap_from_male_percent></row>
<row _id="54"><year>2006</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>57125</median_earnings><earnings_gap_from_male>16700</earnings_gap_from_male><earnings_gap_from_male_percent>0.226</earnings_gap_from_male_percent></row>
<row _id="55"><year>2005</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>71103</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="56"><year>2005</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>42838</median_earnings><earnings_gap_from_male>28265</earnings_gap_from_male><earnings_gap_from_male_percent>0.398</earnings_gap_from_male_percent></row>
<row _id="57"><year>2005</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>56984</median_earnings><earnings_gap_from_male>14119</earnings_gap_from_male><earnings_gap_from_male_percent>0.199</earnings_gap_from_male_percent></row>
<row _id="58"><year>2000</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>76039</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="59"><year>2000</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>43790</median_earnings><earnings_gap_from_male>32249</earnings_gap_from_male><earnings_gap_from_male_percent>0.424</earnings_gap_from_male_percent></row>
<row _id="60"><year>2000</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>58790</median_earnings><earnings_gap_from_male>17249</earnings_gap_from_male><earnings_gap_from_male_percent>0.227</earnings_gap_from_male_percent></row>
<row _id="61"><year>2024</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>61972</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="62"><year>2024</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>51620</median_earnings><earnings_gap_from_male>10352</earnings_gap_from_male><earnings_gap_from_male_percent>0.167</earnings_gap_from_male_percent></row>
<row _id="63"><year>2024</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>56947</median_earnings><earnings_gap_from_male>5025</earnings_gap_from_male><earnings_gap_from_male_percent>0.081</earnings_gap_from_male_percent></row>
<row _id="64"><year>2023</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>63801</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="65"><year>2023</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>50092</median_earnings><earnings_gap_from_male>13709</earnings_gap_from_male><earnings_gap_from_male_percent>0.215</earnings_gap_from_male_percent></row>
<row _id="66"><year>2023</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55715</median_earnings><earnings_gap_from_male>8086</earnings_gap_from_male><earnings_gap_from_male_percent>0.127</earnings_gap_from_male_percent></row>
<row _id="67"><year>2022</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>64611</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="68"><year>2022</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>49646</median_earnings><earnings_gap_from_male>14965</earnings_gap_from_male><earnings_gap_from_male_percent>0.232</earnings_gap_from_male_percent></row>
<row _id="69"><year>2022</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>56843</median_earnings><earnings_gap_from_male>7768</earnings_gap_from_male><earnings_gap_from_male_percent>0.12</earnings_gap_from_male_percent></row>
<row _id="70"><year>2021</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>67556</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="71"><year>2021</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>49161</median_earnings><earnings_gap_from_male>18395</earnings_gap_from_male><earnings_gap_from_male_percent>0.272</earnings_gap_from_male_percent></row>
<row _id="72"><year>2021</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>59171</median_earnings><earnings_gap_from_male>8385</earnings_gap_from_male><earnings_gap_from_male_percent>0.124</earnings_gap_from_male_percent></row>
<row _id="73"><year>2019</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>66315</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="74"><year>2019</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>50394</median_earnings><earnings_gap_from_male>15921</earnings_gap_from_male><earnings_gap_from_male_percent>0.24</earnings_gap_from_male_percent></row>
<row _id="75"><year>2019</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>59179</median_earnings><earnings_gap_from_male>7136</earnings_gap_from_male><earnings_gap_from_male_percent>0.108</earnings_gap_from_male_percent></row>
<row _id="76"><year>2018</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>66046</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="77"><year>2018</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47186</median_earnings><earnings_gap_from_male>18860</earnings_gap_from_male><earnings_gap_from_male_percent>0.286</earnings_gap_from_male_percent></row>
<row _id="78"><year>2018</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>56809</median_earnings><earnings_gap_from_male>9237</earnings_gap_from_male><earnings_gap_from_male_percent>0.14</earnings_gap_from_male_percent></row>
<row _id="79"><year>2017</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>68100</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="80"><year>2017</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>46665</median_earnings><earnings_gap_from_male>21435</earnings_gap_from_male><earnings_gap_from_male_percent>0.315</earnings_gap_from_male_percent></row>
<row _id="81"><year>2017</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>56659</median_earnings><earnings_gap_from_male>11441</earnings_gap_from_male><earnings_gap_from_male_percent>0.168</earnings_gap_from_male_percent></row>
<row _id="82"><year>2016</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>66534</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="83"><year>2016</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47560</median_earnings><earnings_gap_from_male>18974</earnings_gap_from_male><earnings_gap_from_male_percent>0.285</earnings_gap_from_male_percent></row>
<row _id="84"><year>2016</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55878</median_earnings><earnings_gap_from_male>10656</earnings_gap_from_male><earnings_gap_from_male_percent>0.16</earnings_gap_from_male_percent></row>
<row _id="85"><year>2015</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>61465</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="86"><year>2015</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>45848</median_earnings><earnings_gap_from_male>15617</earnings_gap_from_male><earnings_gap_from_male_percent>0.254</earnings_gap_from_male_percent></row>
<row _id="87"><year>2015</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>53826</median_earnings><earnings_gap_from_male>7639</earnings_gap_from_male><earnings_gap_from_male_percent>0.124</earnings_gap_from_male_percent></row>
<row _id="88"><year>2014</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>65358</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="89"><year>2014</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47685</median_earnings><earnings_gap_from_male>17673</earnings_gap_from_male><earnings_gap_from_male_percent>0.27</earnings_gap_from_male_percent></row>
<row _id="90"><year>2014</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55072</median_earnings><earnings_gap_from_male>10286</earnings_gap_from_male><earnings_gap_from_male_percent>0.157</earnings_gap_from_male_percent></row>
<row _id="91"><year>2013</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>67126</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="92"><year>2013</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>48181</median_earnings><earnings_gap_from_male>18945</earnings_gap_from_male><earnings_gap_from_male_percent>0.282</earnings_gap_from_male_percent></row>
<row _id="93"><year>2013</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55948</median_earnings><earnings_gap_from_male>11178</earnings_gap_from_male><earnings_gap_from_male_percent>0.167</earnings_gap_from_male_percent></row>
<row _id="94"><year>2012</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>67147</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="95"><year>2012</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47457</median_earnings><earnings_gap_from_male>19690</earnings_gap_from_male><earnings_gap_from_male_percent>0.293</earnings_gap_from_male_percent></row>
<row _id="96"><year>2012</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>56600</median_earnings><earnings_gap_from_male>10547</earnings_gap_from_male><earnings_gap_from_male_percent>0.157</earnings_gap_from_male_percent></row>
<row _id="97"><year>2011</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>65957</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="98"><year>2011</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47919</median_earnings><earnings_gap_from_male>18038</earnings_gap_from_male><earnings_gap_from_male_percent>0.273</earnings_gap_from_male_percent></row>
<row _id="99"><year>2011</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55602</median_earnings><earnings_gap_from_male>10355</earnings_gap_from_male><earnings_gap_from_male_percent>0.157</earnings_gap_from_male_percent></row>
<row _id="100"><year>2010</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>70895</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="101"><year>2010</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>51028</median_earnings><earnings_gap_from_male>19867</earnings_gap_from_male><earnings_gap_from_male_percent>0.28</earnings_gap_from_male_percent></row>
<row _id="102"><year>2010</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>60184</median_earnings><earnings_gap_from_male>10711</earnings_gap_from_male><earnings_gap_from_male_percent>0.151</earnings_gap_from_male_percent></row>
<row _id="103"><year>2009</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>67572</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="104"><year>2009</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47836</median_earnings><earnings_gap_from_male>19736</earnings_gap_from_male><earnings_gap_from_male_percent>0.292</earnings_gap_from_male_percent></row>
<row _id="105"><year>2009</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>57581</median_earnings><earnings_gap_from_male>9991</earnings_gap_from_male><earnings_gap_from_male_percent>0.148</earnings_gap_from_male_percent></row>
<row _id="106"><year>2008</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>73558</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="107"><year>2008</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>45859</median_earnings><earnings_gap_from_male>27699</earnings_gap_from_male><earnings_gap_from_male_percent>0.377</earnings_gap_from_male_percent></row>
<row _id="108"><year>2008</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>59432</median_earnings><earnings_gap_from_male>14126</earnings_gap_from_male><earnings_gap_from_male_percent>0.192</earnings_gap_from_male_percent></row>
<row _id="109"><year>2007</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>72767</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="110"><year>2007</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47515</median_earnings><earnings_gap_from_male>25252</earnings_gap_from_male><earnings_gap_from_male_percent>0.347</earnings_gap_from_male_percent></row>
<row _id="111"><year>2007</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>59422</median_earnings><earnings_gap_from_male>13345</earnings_gap_from_male><earnings_gap_from_male_percent>0.183</earnings_gap_from_male_percent></row>
<row _id="112"><year>2006</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>70736</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="113"><year>2006</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47716</median_earnings><earnings_gap_from_male>23020</earnings_gap_from_male><earnings_gap_from_male_percent>0.325</earnings_gap_from_male_percent></row>
<row _id="114"><year>2006</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>57830</median_earnings><earnings_gap_from_male>12906</earnings_gap_from_male><earnings_gap_from_male_percent>0.182</earnings_gap_from_male_percent></row>
<row _id="115"><year>2005</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>74499</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="116"><year>2005</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>46059</median_earnings><earnings_gap_from_male>28440</earnings_gap_from_male><earnings_gap_from_male_percent>0.382</earnings_gap_from_male_percent></row>
<row _id="117"><year>2005</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>59351</median_earnings><earnings_gap_from_male>15148</earnings_gap_from_male><earnings_gap_from_male_percent>0.203</earnings_gap_from_male_percent></row>
<row _id="118"><year>2000</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>72868</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="119"><year>2000</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47552</median_earnings><earnings_gap_from_male>25316</earnings_gap_from_male><earnings_gap_from_male_percent>0.347</earnings_gap_from_male_percent></row>
<row _id="120"><year>2000</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>58905</median_earnings><earnings_gap_from_male>13963</earnings_gap_from_male><earnings_gap_from_male_percent>0.192</earnings_gap_from_male_percent></row>
<row _id="121"><year>2024</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>61432</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="122"><year>2024</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>44563</median_earnings><earnings_gap_from_male>16869</earnings_gap_from_male><earnings_gap_from_male_percent>0.275</earnings_gap_from_male_percent></row>
<row _id="123"><year>2024</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>51829</median_earnings><earnings_gap_from_male>9603</earnings_gap_from_male><earnings_gap_from_male_percent>0.156</earnings_gap_from_male_percent></row>
<row _id="124"><year>2023</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>55556</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="125"><year>2023</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>42871</median_earnings><earnings_gap_from_male>12685</earnings_gap_from_male><earnings_gap_from_male_percent>0.228</earnings_gap_from_male_percent></row>
<row _id="126"><year>2023</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>49204</median_earnings><earnings_gap_from_male>6352</earnings_gap_from_male><earnings_gap_from_male_percent>0.114</earnings_gap_from_male_percent></row>
<row _id="127"><year>2022</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>56792</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="128"><year>2022</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>44474</median_earnings><earnings_gap_from_male>12318</earnings_gap_from_male><earnings_gap_from_male_percent>0.217</earnings_gap_from_male_percent></row>
<row _id="129"><year>2022</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>50650</median_earnings><earnings_gap_from_male>6142</earnings_gap_from_male><earnings_gap_from_male_percent>0.108</earnings_gap_from_male_percent></row>
<row _id="130"><year>2021</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>58921</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="131"><year>2021</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>44773</median_earnings><earnings_gap_from_male>14148</earnings_gap_from_male><earnings_gap_from_male_percent>0.24</earnings_gap_from_male_percent></row>
<row _id="132"><year>2021</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>50946</median_earnings><earnings_gap_from_male>7975</earnings_gap_from_male><earnings_gap_from_male_percent>0.135</earnings_gap_from_male_percent></row>
<row _id="133"><year>2019</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>56524</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="134"><year>2019</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>43893</median_earnings><earnings_gap_from_male>12631</earnings_gap_from_male><earnings_gap_from_male_percent>0.223</earnings_gap_from_male_percent></row>
<row _id="135"><year>2019</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>50262</median_earnings><earnings_gap_from_male>6262</earnings_gap_from_male><earnings_gap_from_male_percent>0.111</earnings_gap_from_male_percent></row>
<row _id="136"><year>2018</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>56543</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="137"><year>2018</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>43601</median_earnings><earnings_gap_from_male>12942</earnings_gap_from_male><earnings_gap_from_male_percent>0.229</earnings_gap_from_male_percent></row>
<row _id="138"><year>2018</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>49384</median_earnings><earnings_gap_from_male>7159</earnings_gap_from_male><earnings_gap_from_male_percent>0.127</earnings_gap_from_male_percent></row>
<row _id="139"><year>2017</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>53368</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="140"><year>2017</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>41803</median_earnings><earnings_gap_from_male>11565</earnings_gap_from_male><earnings_gap_from_male_percent>0.217</earnings_gap_from_male_percent></row>
<row _id="141"><year>2017</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>48142</median_earnings><earnings_gap_from_male>5226</earnings_gap_from_male><earnings_gap_from_male_percent>0.098</earnings_gap_from_male_percent></row>
<row _id="142"><year>2016</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>55234</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="143"><year>2016</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>41296</median_earnings><earnings_gap_from_male>13938</earnings_gap_from_male><earnings_gap_from_male_percent>0.252</earnings_gap_from_male_percent></row>
<row _id="144"><year>2016</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>48147</median_earnings><earnings_gap_from_male>7087</earnings_gap_from_male><earnings_gap_from_male_percent>0.128</earnings_gap_from_male_percent></row>
<row _id="145"><year>2015</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>55627</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="146"><year>2015</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>41491</median_earnings><earnings_gap_from_male>14136</earnings_gap_from_male><earnings_gap_from_male_percent>0.254</earnings_gap_from_male_percent></row>
<row _id="147"><year>2015</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>48561</median_earnings><earnings_gap_from_male>7066</earnings_gap_from_male><earnings_gap_from_male_percent>0.127</earnings_gap_from_male_percent></row>
<row _id="148"><year>2014</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>54505</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="149"><year>2014</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>40505</median_earnings><earnings_gap_from_male>14000</earnings_gap_from_male><earnings_gap_from_male_percent>0.257</earnings_gap_from_male_percent></row>
<row _id="150"><year>2014</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>47172</median_earnings><earnings_gap_from_male>7333</earnings_gap_from_male><earnings_gap_from_male_percent>0.135</earnings_gap_from_male_percent></row>
<row _id="151"><year>2013</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>55313</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="152"><year>2013</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>37018</median_earnings><earnings_gap_from_male>18295</earnings_gap_from_male><earnings_gap_from_male_percent>0.331</earnings_gap_from_male_percent></row>
<row _id="153"><year>2013</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>44432</median_earnings><earnings_gap_from_male>10881</earnings_gap_from_male><earnings_gap_from_male_percent>0.197</earnings_gap_from_male_percent></row>
<row _id="154"><year>2012</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>55970</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="155"><year>2012</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>39519</median_earnings><earnings_gap_from_male>16451</earnings_gap_from_male><earnings_gap_from_male_percent>0.294</earnings_gap_from_male_percent></row>
<row _id="156"><year>2012</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>48070</median_earnings><earnings_gap_from_male>7900</earnings_gap_from_male><earnings_gap_from_male_percent>0.141</earnings_gap_from_male_percent></row>
<row _id="157"><year>2011</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>59088</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="158"><year>2011</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>41490</median_earnings><earnings_gap_from_male>17598</earnings_gap_from_male><earnings_gap_from_male_percent>0.298</earnings_gap_from_male_percent></row>
<row _id="159"><year>2011</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>48418</median_earnings><earnings_gap_from_male>10670</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="160"><year>2010</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>56281</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="161"><year>2010</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>40974</median_earnings><earnings_gap_from_male>15307</earnings_gap_from_male><earnings_gap_from_male_percent>0.272</earnings_gap_from_male_percent></row>
<row _id="162"><year>2010</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>46733</median_earnings><earnings_gap_from_male>9548</earnings_gap_from_male><earnings_gap_from_male_percent>0.17</earnings_gap_from_male_percent></row>
<row _id="163"><year>2009</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>62077</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="164"><year>2009</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>41534</median_earnings><earnings_gap_from_male>20543</earnings_gap_from_male><earnings_gap_from_male_percent>0.331</earnings_gap_from_male_percent></row>
<row _id="165"><year>2009</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>51285</median_earnings><earnings_gap_from_male>10792</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="166"><year>2008</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>61490</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="167"><year>2008</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>42447</median_earnings><earnings_gap_from_male>19043</earnings_gap_from_male><earnings_gap_from_male_percent>0.31</earnings_gap_from_male_percent></row>
<row _id="168"><year>2008</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>51680</median_earnings><earnings_gap_from_male>9810</earnings_gap_from_male><earnings_gap_from_male_percent>0.16</earnings_gap_from_male_percent></row>
<row _id="169"><year>2007</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>59535</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="170"><year>2007</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>40903</median_earnings><earnings_gap_from_male>18632</earnings_gap_from_male><earnings_gap_from_male_percent>0.313</earnings_gap_from_male_percent></row>
<row _id="171"><year>2007</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>49202</median_earnings><earnings_gap_from_male>10333</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="172"><year>2006</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>60518</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="173"><year>2006</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>42191</median_earnings><earnings_gap_from_male>18327</earnings_gap_from_male><earnings_gap_from_male_percent>0.303</earnings_gap_from_male_percent></row>
<row _id="174"><year>2006</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>50240</median_earnings><earnings_gap_from_male>10278</earnings_gap_from_male><earnings_gap_from_male_percent>0.17</earnings_gap_from_male_percent></row>
<row _id="175"><year>2005</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>60193</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="176"><year>2005</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>38321</median_earnings><earnings_gap_from_male>21872</earnings_gap_from_male><earnings_gap_from_male_percent>0.363</earnings_gap_from_male_percent></row>
<row _id="177"><year>2005</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>49023</median_earnings><earnings_gap_from_male>11170</earnings_gap_from_male><earnings_gap_from_male_percent>0.186</earnings_gap_from_male_percent></row>
<row _id="178"><year>2000</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>64977</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="179"><year>2000</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>41147</median_earnings><earnings_gap_from_male>23830</earnings_gap_from_male><earnings_gap_from_male_percent>0.367</earnings_gap_from_male_percent></row>
<row _id="180"><year>2000</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>51613</median_earnings><earnings_gap_from_male>13364</earnings_gap_from_male><earnings_gap_from_male_percent>0.206</earnings_gap_from_male_percent></row>
<row _id="181"><year>2024</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>77060</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="182"><year>2024</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>52307</median_earnings><earnings_gap_from_male>24753</earnings_gap_from_male><earnings_gap_from_male_percent>0.321</earnings_gap_from_male_percent></row>
<row _id="183"><year>2024</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>63359</median_earnings><earnings_gap_from_male>13701</earnings_gap_from_male><earnings_gap_from_male_percent>0.178</earnings_gap_from_male_percent></row>
<row _id="184"><year>2023</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>77425</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="185"><year>2023</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>52744</median_earnings><earnings_gap_from_male>24681</earnings_gap_from_male><earnings_gap_from_male_percent>0.319</earnings_gap_from_male_percent></row>
<row _id="186"><year>2023</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>63052</median_earnings><earnings_gap_from_male>14373</earnings_gap_from_male><earnings_gap_from_male_percent>0.186</earnings_gap_from_male_percent></row>
<row _id="187"><year>2022</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>78233</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="188"><year>2022</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>47788</median_earnings><earnings_gap_from_male>30445</earnings_gap_from_male><earnings_gap_from_male_percent>0.389</earnings_gap_from_male_percent></row>
<row _id="189"><year>2022</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>64162</median_earnings><earnings_gap_from_male>14071</earnings_gap_from_male><earnings_gap_from_male_percent>0.18</earnings_gap_from_male_percent></row>
<row _id="190"><year>2021</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>79503</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="191"><year>2021</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>51386</median_earnings><earnings_gap_from_male>28117</earnings_gap_from_male><earnings_gap_from_male_percent>0.354</earnings_gap_from_male_percent></row>
<row _id="192"><year>2021</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>62838</median_earnings><earnings_gap_from_male>16665</earnings_gap_from_male><earnings_gap_from_male_percent>0.21</earnings_gap_from_male_percent></row>
<row _id="193"><year>2019</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>75840</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="194"><year>2019</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>48975</median_earnings><earnings_gap_from_male>26865</earnings_gap_from_male><earnings_gap_from_male_percent>0.354</earnings_gap_from_male_percent></row>
<row _id="195"><year>2019</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>62446</median_earnings><earnings_gap_from_male>13394</earnings_gap_from_male><earnings_gap_from_male_percent>0.177</earnings_gap_from_male_percent></row>
<row _id="196"><year>2018</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>75837</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="197"><year>2018</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>46051</median_earnings><earnings_gap_from_male>29786</earnings_gap_from_male><earnings_gap_from_male_percent>0.393</earnings_gap_from_male_percent></row>
<row _id="198"><year>2018</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>62137</median_earnings><earnings_gap_from_male>13700</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="199"><year>2017</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>70910</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="200"><year>2017</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>46322</median_earnings><earnings_gap_from_male>24588</earnings_gap_from_male><earnings_gap_from_male_percent>0.347</earnings_gap_from_male_percent></row>
<row _id="201"><year>2017</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>58058</median_earnings><earnings_gap_from_male>12852</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="202"><year>2016</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>71972</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="203"><year>2016</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>43424</median_earnings><earnings_gap_from_male>28548</earnings_gap_from_male><earnings_gap_from_male_percent>0.397</earnings_gap_from_male_percent></row>
<row _id="204"><year>2016</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>58250</median_earnings><earnings_gap_from_male>13722</earnings_gap_from_male><earnings_gap_from_male_percent>0.191</earnings_gap_from_male_percent></row>
<row _id="205"><year>2015</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>69483</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="206"><year>2015</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>47176</median_earnings><earnings_gap_from_male>22307</earnings_gap_from_male><earnings_gap_from_male_percent>0.321</earnings_gap_from_male_percent></row>
<row _id="207"><year>2015</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>57668</median_earnings><earnings_gap_from_male>11815</earnings_gap_from_male><earnings_gap_from_male_percent>0.17</earnings_gap_from_male_percent></row>
<row _id="208"><year>2014</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>68248</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="209"><year>2014</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>46242</median_earnings><earnings_gap_from_male>22006</earnings_gap_from_male><earnings_gap_from_male_percent>0.322</earnings_gap_from_male_percent></row>
<row _id="210"><year>2014</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>56180</median_earnings><earnings_gap_from_male>12068</earnings_gap_from_male><earnings_gap_from_male_percent>0.177</earnings_gap_from_male_percent></row>
<row _id="211"><year>2013</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>68665</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="212"><year>2013</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>43352</median_earnings><earnings_gap_from_male>25313</earnings_gap_from_male><earnings_gap_from_male_percent>0.369</earnings_gap_from_male_percent></row>
<row _id="213"><year>2013</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>55282</median_earnings><earnings_gap_from_male>13383</earnings_gap_from_male><earnings_gap_from_male_percent>0.195</earnings_gap_from_male_percent></row>
<row _id="214"><year>2012</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>68796</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="215"><year>2012</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>43871</median_earnings><earnings_gap_from_male>24925</earnings_gap_from_male><earnings_gap_from_male_percent>0.362</earnings_gap_from_male_percent></row>
<row _id="216"><year>2012</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>56112</median_earnings><earnings_gap_from_male>12684</earnings_gap_from_male><earnings_gap_from_male_percent>0.184</earnings_gap_from_male_percent></row>
<row _id="217"><year>2011</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>71048</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="218"><year>2011</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>44221</median_earnings><earnings_gap_from_male>26827</earnings_gap_from_male><earnings_gap_from_male_percent>0.378</earnings_gap_from_male_percent></row>
<row _id="219"><year>2011</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>56941</median_earnings><earnings_gap_from_male>14107</earnings_gap_from_male><earnings_gap_from_male_percent>0.199</earnings_gap_from_male_percent></row>
<row _id="220"><year>2010</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>72991</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="221"><year>2010</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>48395</median_earnings><earnings_gap_from_male>24596</earnings_gap_from_male><earnings_gap_from_male_percent>0.337</earnings_gap_from_male_percent></row>
<row _id="222"><year>2010</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>59069</median_earnings><earnings_gap_from_male>13922</earnings_gap_from_male><earnings_gap_from_male_percent>0.191</earnings_gap_from_male_percent></row>
<row _id="223"><year>2009</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>74619</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="224"><year>2009</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>42405</median_earnings><earnings_gap_from_male>32214</earnings_gap_from_male><earnings_gap_from_male_percent>0.432</earnings_gap_from_male_percent></row>
<row _id="225"><year>2009</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>56476</median_earnings><earnings_gap_from_male>18143</earnings_gap_from_male><earnings_gap_from_male_percent>0.243</earnings_gap_from_male_percent></row>
<row _id="226"><year>2008</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>76055</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="227"><year>2008</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>46644</median_earnings><earnings_gap_from_male>29411</earnings_gap_from_male><earnings_gap_from_male_percent>0.387</earnings_gap_from_male_percent></row>
<row _id="228"><year>2008</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>61002</median_earnings><earnings_gap_from_male>15053</earnings_gap_from_male><earnings_gap_from_male_percent>0.198</earnings_gap_from_male_percent></row>
<row _id="229"><year>2007</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>77198</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="230"><year>2007</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>47886</median_earnings><earnings_gap_from_male>29312</earnings_gap_from_male><earnings_gap_from_male_percent>0.38</earnings_gap_from_male_percent></row>
<row _id="231"><year>2007</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>61880</median_earnings><earnings_gap_from_male>15318</earnings_gap_from_male><earnings_gap_from_male_percent>0.198</earnings_gap_from_male_percent></row>
<row _id="232"><year>2006</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>72351</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="233"><year>2006</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>46528</median_earnings><earnings_gap_from_male>25823</earnings_gap_from_male><earnings_gap_from_male_percent>0.357</earnings_gap_from_male_percent></row>
<row _id="234"><year>2006</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>57724</median_earnings><earnings_gap_from_male>14627</earnings_gap_from_male><earnings_gap_from_male_percent>0.202</earnings_gap_from_male_percent></row>
<row _id="235"><year>2005</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>81122</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="236"><year>2005</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>44332</median_earnings><earnings_gap_from_male>36790</earnings_gap_from_male><earnings_gap_from_male_percent>0.454</earnings_gap_from_male_percent></row>
<row _id="237"><year>2005</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>60524</median_earnings><earnings_gap_from_male>20598</earnings_gap_from_male><earnings_gap_from_male_percent>0.254</earnings_gap_from_male_percent></row>
<row _id="238"><year>2000</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>79455</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="239"><year>2000</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>46254</median_earnings><earnings_gap_from_male>33201</earnings_gap_from_male><earnings_gap_from_male_percent>0.418</earnings_gap_from_male_percent></row>
<row _id="240"><year>2000</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>60475</median_earnings><earnings_gap_from_male>18980</earnings_gap_from_male><earnings_gap_from_male_percent>0.239</earnings_gap_from_male_percent></row>
<row _id="241"><year>2024</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>57405</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="242"><year>2024</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>42197</median_earnings><earnings_gap_from_male>15208</earnings_gap_from_male><earnings_gap_from_male_percent>0.265</earnings_gap_from_male_percent></row>
<row _id="243"><year>2024</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>50410</median_earnings><earnings_gap_from_male>6995</earnings_gap_from_male><earnings_gap_from_male_percent>0.122</earnings_gap_from_male_percent></row>
<row _id="244"><year>2023</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>56760</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="245"><year>2023</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>44299</median_earnings><earnings_gap_from_male>12461</earnings_gap_from_male><earnings_gap_from_male_percent>0.22</earnings_gap_from_male_percent></row>
<row _id="246"><year>2023</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>51622</median_earnings><earnings_gap_from_male>5138</earnings_gap_from_male><earnings_gap_from_male_percent>0.091</earnings_gap_from_male_percent></row>
<row _id="247"><year>2022</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>57582</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="248"><year>2022</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>43674</median_earnings><earnings_gap_from_male>13908</earnings_gap_from_male><earnings_gap_from_male_percent>0.242</earnings_gap_from_male_percent></row>
<row _id="249"><year>2022</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>51056</median_earnings><earnings_gap_from_male>6526</earnings_gap_from_male><earnings_gap_from_male_percent>0.113</earnings_gap_from_male_percent></row>
<row _id="250"><year>2021</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>59629</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="251"><year>2021</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>45466</median_earnings><earnings_gap_from_male>14163</earnings_gap_from_male><earnings_gap_from_male_percent>0.238</earnings_gap_from_male_percent></row>
<row _id="252"><year>2021</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>52466</median_earnings><earnings_gap_from_male>7163</earnings_gap_from_male><earnings_gap_from_male_percent>0.12</earnings_gap_from_male_percent></row>
<row _id="253"><year>2019</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>61059</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="254"><year>2019</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>42136</median_earnings><earnings_gap_from_male>18923</earnings_gap_from_male><earnings_gap_from_male_percent>0.31</earnings_gap_from_male_percent></row>
<row _id="255"><year>2019</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>50425</median_earnings><earnings_gap_from_male>10634</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="256"><year>2018</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>58421</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="257"><year>2018</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>43312</median_earnings><earnings_gap_from_male>15109</earnings_gap_from_male><earnings_gap_from_male_percent>0.259</earnings_gap_from_male_percent></row>
<row _id="258"><year>2018</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>50975</median_earnings><earnings_gap_from_male>7446</earnings_gap_from_male><earnings_gap_from_male_percent>0.127</earnings_gap_from_male_percent></row>
<row _id="259"><year>2017</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>60477</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="260"><year>2017</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>43629</median_earnings><earnings_gap_from_male>16848</earnings_gap_from_male><earnings_gap_from_male_percent>0.279</earnings_gap_from_male_percent></row>
<row _id="261"><year>2017</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>51990</median_earnings><earnings_gap_from_male>8487</earnings_gap_from_male><earnings_gap_from_male_percent>0.14</earnings_gap_from_male_percent></row>
<row _id="262"><year>2016</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>59365</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="263"><year>2016</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>40505</median_earnings><earnings_gap_from_male>18860</earnings_gap_from_male><earnings_gap_from_male_percent>0.318</earnings_gap_from_male_percent></row>
<row _id="264"><year>2016</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>48715</median_earnings><earnings_gap_from_male>10650</earnings_gap_from_male><earnings_gap_from_male_percent>0.179</earnings_gap_from_male_percent></row>
<row _id="265"><year>2015</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>54544</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="266"><year>2015</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>40927</median_earnings><earnings_gap_from_male>13617</earnings_gap_from_male><earnings_gap_from_male_percent>0.25</earnings_gap_from_male_percent></row>
<row _id="267"><year>2015</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>47262</median_earnings><earnings_gap_from_male>7282</earnings_gap_from_male><earnings_gap_from_male_percent>0.134</earnings_gap_from_male_percent></row>
<row _id="268"><year>2014</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>55658</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="269"><year>2014</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>40276</median_earnings><earnings_gap_from_male>15382</earnings_gap_from_male><earnings_gap_from_male_percent>0.276</earnings_gap_from_male_percent></row>
<row _id="270"><year>2014</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>47361</median_earnings><earnings_gap_from_male>8297</earnings_gap_from_male><earnings_gap_from_male_percent>0.149</earnings_gap_from_male_percent></row>
<row _id="271"><year>2013</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>56547</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="272"><year>2013</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>42339</median_earnings><earnings_gap_from_male>14208</earnings_gap_from_male><earnings_gap_from_male_percent>0.251</earnings_gap_from_male_percent></row>
<row _id="273"><year>2013</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>49144</median_earnings><earnings_gap_from_male>7403</earnings_gap_from_male><earnings_gap_from_male_percent>0.131</earnings_gap_from_male_percent></row>
<row _id="274"><year>2012</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>56719</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="275"><year>2012</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>40779</median_earnings><earnings_gap_from_male>15940</earnings_gap_from_male><earnings_gap_from_male_percent>0.281</earnings_gap_from_male_percent></row>
<row _id="276"><year>2012</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>48427</median_earnings><earnings_gap_from_male>8292</earnings_gap_from_male><earnings_gap_from_male_percent>0.146</earnings_gap_from_male_percent></row>
<row _id="277"><year>2011</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>56866</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="278"><year>2011</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>43324</median_earnings><earnings_gap_from_male>13542</earnings_gap_from_male><earnings_gap_from_male_percent>0.238</earnings_gap_from_male_percent></row>
<row _id="279"><year>2011</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>49269</median_earnings><earnings_gap_from_male>7597</earnings_gap_from_male><earnings_gap_from_male_percent>0.134</earnings_gap_from_male_percent></row>
<row _id="280"><year>2010</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>59035</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="281"><year>2010</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>39710</median_earnings><earnings_gap_from_male>19325</earnings_gap_from_male><earnings_gap_from_male_percent>0.327</earnings_gap_from_male_percent></row>
<row _id="282"><year>2010</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>46591</median_earnings><earnings_gap_from_male>12444</earnings_gap_from_male><earnings_gap_from_male_percent>0.211</earnings_gap_from_male_percent></row>
<row _id="283"><year>2009</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>58147</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="284"><year>2009</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>42136</median_earnings><earnings_gap_from_male>16011</earnings_gap_from_male><earnings_gap_from_male_percent>0.275</earnings_gap_from_male_percent></row>
<row _id="285"><year>2009</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>49718</median_earnings><earnings_gap_from_male>8429</earnings_gap_from_male><earnings_gap_from_male_percent>0.145</earnings_gap_from_male_percent></row>
<row _id="286"><year>2008</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>62237</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="287"><year>2008</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>41978</median_earnings><earnings_gap_from_male>20259</earnings_gap_from_male><earnings_gap_from_male_percent>0.326</earnings_gap_from_male_percent></row>
<row _id="288"><year>2008</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>51215</median_earnings><earnings_gap_from_male>11022</earnings_gap_from_male><earnings_gap_from_male_percent>0.177</earnings_gap_from_male_percent></row>
<row _id="289"><year>2007</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>60858</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="290"><year>2007</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>39982</median_earnings><earnings_gap_from_male>20876</earnings_gap_from_male><earnings_gap_from_male_percent>0.343</earnings_gap_from_male_percent></row>
<row _id="291"><year>2007</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>48883</median_earnings><earnings_gap_from_male>11975</earnings_gap_from_male><earnings_gap_from_male_percent>0.197</earnings_gap_from_male_percent></row>
<row _id="292"><year>2006</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>58716</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="293"><year>2006</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>42984</median_earnings><earnings_gap_from_male>15732</earnings_gap_from_male><earnings_gap_from_male_percent>0.268</earnings_gap_from_male_percent></row>
<row _id="294"><year>2006</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>49436</median_earnings><earnings_gap_from_male>9280</earnings_gap_from_male><earnings_gap_from_male_percent>0.158</earnings_gap_from_male_percent></row>
<row _id="295"><year>2005</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>65830</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="296"><year>2005</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>41591</median_earnings><earnings_gap_from_male>24239</earnings_gap_from_male><earnings_gap_from_male_percent>0.368</earnings_gap_from_male_percent></row>
<row _id="297"><year>2005</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>52199</median_earnings><earnings_gap_from_male>13631</earnings_gap_from_male><earnings_gap_from_male_percent>0.207</earnings_gap_from_male_percent></row>
<row _id="298"><year>2000</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>67162</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="299"><year>2000</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>42383</median_earnings><earnings_gap_from_male>24779</earnings_gap_from_male><earnings_gap_from_male_percent>0.369</earnings_gap_from_male_percent></row>
<row _id="300"><year>2000</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>53035</median_earnings><earnings_gap_from_male>14127</earnings_gap_from_male><earnings_gap_from_male_percent>0.21</earnings_gap_from_male_percent></row>
<row _id="301"><year>2024</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>62140</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="302"><year>2024</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>47900</median_earnings><earnings_gap_from_male>14240</earnings_gap_from_male><earnings_gap_from_male_percent>0.229</earnings_gap_from_male_percent></row>
<row _id="303"><year>2024</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>55098</median_earnings><earnings_gap_from_male>7042</earnings_gap_from_male><earnings_gap_from_male_percent>0.113</earnings_gap_from_male_percent></row>
<row _id="304"><year>2023</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>62031</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="305"><year>2023</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>45762</median_earnings><earnings_gap_from_male>16269</earnings_gap_from_male><earnings_gap_from_male_percent>0.262</earnings_gap_from_male_percent></row>
<row _id="306"><year>2023</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>53124</median_earnings><earnings_gap_from_male>8907</earnings_gap_from_male><earnings_gap_from_male_percent>0.144</earnings_gap_from_male_percent></row>
<row _id="307"><year>2022</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>64748</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="308"><year>2022</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>48146</median_earnings><earnings_gap_from_male>16602</earnings_gap_from_male><earnings_gap_from_male_percent>0.256</earnings_gap_from_male_percent></row>
<row _id="309"><year>2022</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>56723</median_earnings><earnings_gap_from_male>8025</earnings_gap_from_male><earnings_gap_from_male_percent>0.124</earnings_gap_from_male_percent></row>
<row _id="310"><year>2021</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>72238</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="311"><year>2021</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>49130</median_earnings><earnings_gap_from_male>23108</earnings_gap_from_male><earnings_gap_from_male_percent>0.32</earnings_gap_from_male_percent></row>
<row _id="312"><year>2021</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>60233</median_earnings><earnings_gap_from_male>12005</earnings_gap_from_male><earnings_gap_from_male_percent>0.166</earnings_gap_from_male_percent></row>
<row _id="313"><year>2019</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>68351</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="314"><year>2019</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>44954</median_earnings><earnings_gap_from_male>23397</earnings_gap_from_male><earnings_gap_from_male_percent>0.342</earnings_gap_from_male_percent></row>
<row _id="315"><year>2019</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>56167</median_earnings><earnings_gap_from_male>12184</earnings_gap_from_male><earnings_gap_from_male_percent>0.178</earnings_gap_from_male_percent></row>
<row _id="316"><year>2018</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>64553</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="317"><year>2018</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>44274</median_earnings><earnings_gap_from_male>20279</earnings_gap_from_male><earnings_gap_from_male_percent>0.314</earnings_gap_from_male_percent></row>
<row _id="318"><year>2018</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>53154</median_earnings><earnings_gap_from_male>11399</earnings_gap_from_male><earnings_gap_from_male_percent>0.177</earnings_gap_from_male_percent></row>
<row _id="319"><year>2017</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>66166</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="320"><year>2017</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>44570</median_earnings><earnings_gap_from_male>21596</earnings_gap_from_male><earnings_gap_from_male_percent>0.326</earnings_gap_from_male_percent></row>
<row _id="321"><year>2017</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>53641</median_earnings><earnings_gap_from_male>12525</earnings_gap_from_male><earnings_gap_from_male_percent>0.189</earnings_gap_from_male_percent></row>
<row _id="322"><year>2016</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>67160</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="323"><year>2016</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>46912</median_earnings><earnings_gap_from_male>20248</earnings_gap_from_male><earnings_gap_from_male_percent>0.301</earnings_gap_from_male_percent></row>
<row _id="324"><year>2016</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>55482</median_earnings><earnings_gap_from_male>11678</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="325"><year>2015</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>67628</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="326"><year>2015</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>42074</median_earnings><earnings_gap_from_male>25554</earnings_gap_from_male><earnings_gap_from_male_percent>0.378</earnings_gap_from_male_percent></row>
<row _id="327"><year>2015</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>54155</median_earnings><earnings_gap_from_male>13473</earnings_gap_from_male><earnings_gap_from_male_percent>0.199</earnings_gap_from_male_percent></row>
<row _id="328"><year>2014</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>62982</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="329"><year>2014</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>40888</median_earnings><earnings_gap_from_male>22094</earnings_gap_from_male><earnings_gap_from_male_percent>0.351</earnings_gap_from_male_percent></row>
<row _id="330"><year>2014</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>53084</median_earnings><earnings_gap_from_male>9898</earnings_gap_from_male><earnings_gap_from_male_percent>0.157</earnings_gap_from_male_percent></row>
<row _id="331"><year>2013</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>65766</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="332"><year>2013</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>41886</median_earnings><earnings_gap_from_male>23880</earnings_gap_from_male><earnings_gap_from_male_percent>0.363</earnings_gap_from_male_percent></row>
<row _id="333"><year>2013</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>52317</median_earnings><earnings_gap_from_male>13449</earnings_gap_from_male><earnings_gap_from_male_percent>0.204</earnings_gap_from_male_percent></row>
<row _id="334"><year>2012</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>71371</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="335"><year>2012</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>44868</median_earnings><earnings_gap_from_male>26503</earnings_gap_from_male><earnings_gap_from_male_percent>0.371</earnings_gap_from_male_percent></row>
<row _id="336"><year>2012</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>57374</median_earnings><earnings_gap_from_male>13997</earnings_gap_from_male><earnings_gap_from_male_percent>0.196</earnings_gap_from_male_percent></row>
<row _id="337"><year>2011</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>65685</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="338"><year>2011</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>45301</median_earnings><earnings_gap_from_male>20384</earnings_gap_from_male><earnings_gap_from_male_percent>0.31</earnings_gap_from_male_percent></row>
<row _id="339"><year>2011</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>56558</median_earnings><earnings_gap_from_male>9127</earnings_gap_from_male><earnings_gap_from_male_percent>0.139</earnings_gap_from_male_percent></row>
<row _id="340"><year>2010</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>67465</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="341"><year>2010</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>43965</median_earnings><earnings_gap_from_male>23500</earnings_gap_from_male><earnings_gap_from_male_percent>0.348</earnings_gap_from_male_percent></row>
<row _id="342"><year>2010</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>57120</median_earnings><earnings_gap_from_male>10345</earnings_gap_from_male><earnings_gap_from_male_percent>0.153</earnings_gap_from_male_percent></row>
<row _id="343"><year>2009</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>68720</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="344"><year>2009</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>43167</median_earnings><earnings_gap_from_male>25553</earnings_gap_from_male><earnings_gap_from_male_percent>0.372</earnings_gap_from_male_percent></row>
<row _id="345"><year>2009</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>56176</median_earnings><earnings_gap_from_male>12544</earnings_gap_from_male><earnings_gap_from_male_percent>0.183</earnings_gap_from_male_percent></row>
<row _id="346"><year>2008</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>67910</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="347"><year>2008</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>42211</median_earnings><earnings_gap_from_male>25699</earnings_gap_from_male><earnings_gap_from_male_percent>0.378</earnings_gap_from_male_percent></row>
<row _id="348"><year>2008</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>53852</median_earnings><earnings_gap_from_male>14058</earnings_gap_from_male><earnings_gap_from_male_percent>0.207</earnings_gap_from_male_percent></row>
<row _id="349"><year>2007</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>68789</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="350"><year>2007</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>47395</median_earnings><earnings_gap_from_male>21394</earnings_gap_from_male><earnings_gap_from_male_percent>0.311</earnings_gap_from_male_percent></row>
<row _id="351"><year>2007</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>57835</median_earnings><earnings_gap_from_male>10954</earnings_gap_from_male><earnings_gap_from_male_percent>0.159</earnings_gap_from_male_percent></row>
<row _id="352"><year>2006</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>71243</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="353"><year>2006</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>40314</median_earnings><earnings_gap_from_male>30929</earnings_gap_from_male><earnings_gap_from_male_percent>0.434</earnings_gap_from_male_percent></row>
<row _id="354"><year>2006</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>54181</median_earnings><earnings_gap_from_male>17062</earnings_gap_from_male><earnings_gap_from_male_percent>0.239</earnings_gap_from_male_percent></row>
<row _id="355"><year>2005</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>73031</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="356"><year>2005</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>41279</median_earnings><earnings_gap_from_male>31752</earnings_gap_from_male><earnings_gap_from_male_percent>0.435</earnings_gap_from_male_percent></row>
<row _id="357"><year>2005</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>56157</median_earnings><earnings_gap_from_male>16874</earnings_gap_from_male><earnings_gap_from_male_percent>0.231</earnings_gap_from_male_percent></row>
<row _id="358"><year>2000</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>71776</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="359"><year>2000</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>40768</median_earnings><earnings_gap_from_male>31008</earnings_gap_from_male><earnings_gap_from_male_percent>0.432</earnings_gap_from_male_percent></row>
<row _id="360"><year>2000</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>55302</median_earnings><earnings_gap_from_male>16474</earnings_gap_from_male><earnings_gap_from_male_percent>0.23</earnings_gap_from_male_percent></row>
<row _id="361"><year>2024</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>56069</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="362"><year>2024</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>45924</median_earnings><earnings_gap_from_male>10145</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="363"><year>2024</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>51098</median_earnings><earnings_gap_from_male>4971</earnings_gap_from_male><earnings_gap_from_male_percent>0.089</earnings_gap_from_male_percent></row>
<row _id="364"><year>2023</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>53499</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="365"><year>2023</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>45489</median_earnings><earnings_gap_from_male>8010</earnings_gap_from_male><earnings_gap_from_male_percent>0.15</earnings_gap_from_male_percent></row>
<row _id="366"><year>2023</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>51167</median_earnings><earnings_gap_from_male>2332</earnings_gap_from_male><earnings_gap_from_male_percent>0.044</earnings_gap_from_male_percent></row>
<row _id="367"><year>2022</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>60164</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="368"><year>2022</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>44529</median_earnings><earnings_gap_from_male>15635</earnings_gap_from_male><earnings_gap_from_male_percent>0.26</earnings_gap_from_male_percent></row>
<row _id="369"><year>2022</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>53541</median_earnings><earnings_gap_from_male>6623</earnings_gap_from_male><earnings_gap_from_male_percent>0.11</earnings_gap_from_male_percent></row>
<row _id="370"><year>2021</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>58863</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="371"><year>2021</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>47290</median_earnings><earnings_gap_from_male>11573</earnings_gap_from_male><earnings_gap_from_male_percent>0.197</earnings_gap_from_male_percent></row>
<row _id="372"><year>2021</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>52067</median_earnings><earnings_gap_from_male>6796</earnings_gap_from_male><earnings_gap_from_male_percent>0.115</earnings_gap_from_male_percent></row>
<row _id="373"><year>2019</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>58006</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="374"><year>2019</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>44870</median_earnings><earnings_gap_from_male>13136</earnings_gap_from_male><earnings_gap_from_male_percent>0.226</earnings_gap_from_male_percent></row>
<row _id="375"><year>2019</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>50693</median_earnings><earnings_gap_from_male>7313</earnings_gap_from_male><earnings_gap_from_male_percent>0.126</earnings_gap_from_male_percent></row>
<row _id="376"><year>2018</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>54385</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="377"><year>2018</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>41298</median_earnings><earnings_gap_from_male>13087</earnings_gap_from_male><earnings_gap_from_male_percent>0.241</earnings_gap_from_male_percent></row>
<row _id="378"><year>2018</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>50359</median_earnings><earnings_gap_from_male>4026</earnings_gap_from_male><earnings_gap_from_male_percent>0.074</earnings_gap_from_male_percent></row>
<row _id="379"><year>2017</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>60262</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="380"><year>2017</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>40483</median_earnings><earnings_gap_from_male>19779</earnings_gap_from_male><earnings_gap_from_male_percent>0.328</earnings_gap_from_male_percent></row>
<row _id="381"><year>2017</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>51989</median_earnings><earnings_gap_from_male>8273</earnings_gap_from_male><earnings_gap_from_male_percent>0.137</earnings_gap_from_male_percent></row>
<row _id="382"><year>2016</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>59129</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="383"><year>2016</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>44914</median_earnings><earnings_gap_from_male>14215</earnings_gap_from_male><earnings_gap_from_male_percent>0.24</earnings_gap_from_male_percent></row>
<row _id="384"><year>2016</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>52443</median_earnings><earnings_gap_from_male>6686</earnings_gap_from_male><earnings_gap_from_male_percent>0.113</earnings_gap_from_male_percent></row>
<row _id="385"><year>2015</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>54784</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="386"><year>2015</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>39289</median_earnings><earnings_gap_from_male>15495</earnings_gap_from_male><earnings_gap_from_male_percent>0.283</earnings_gap_from_male_percent></row>
<row _id="387"><year>2015</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>47384</median_earnings><earnings_gap_from_male>7400</earnings_gap_from_male><earnings_gap_from_male_percent>0.135</earnings_gap_from_male_percent></row>
<row _id="388"><year>2014</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>54561</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="389"><year>2014</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>41751</median_earnings><earnings_gap_from_male>12810</earnings_gap_from_male><earnings_gap_from_male_percent>0.235</earnings_gap_from_male_percent></row>
<row _id="390"><year>2014</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>47919</median_earnings><earnings_gap_from_male>6642</earnings_gap_from_male><earnings_gap_from_male_percent>0.122</earnings_gap_from_male_percent></row>
<row _id="391"><year>2013</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>51040</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="392"><year>2013</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>41590</median_earnings><earnings_gap_from_male>9450</earnings_gap_from_male><earnings_gap_from_male_percent>0.185</earnings_gap_from_male_percent></row>
<row _id="393"><year>2013</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>47470</median_earnings><earnings_gap_from_male>3570</earnings_gap_from_male><earnings_gap_from_male_percent>0.07</earnings_gap_from_male_percent></row>
<row _id="394"><year>2012</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>56773</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="395"><year>2012</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>42590</median_earnings><earnings_gap_from_male>14183</earnings_gap_from_male><earnings_gap_from_male_percent>0.25</earnings_gap_from_male_percent></row>
<row _id="396"><year>2012</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>49191</median_earnings><earnings_gap_from_male>7582</earnings_gap_from_male><earnings_gap_from_male_percent>0.134</earnings_gap_from_male_percent></row>
<row _id="397"><year>2011</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>56453</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="398"><year>2011</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>47075</median_earnings><earnings_gap_from_male>9378</earnings_gap_from_male><earnings_gap_from_male_percent>0.166</earnings_gap_from_male_percent></row>
<row _id="399"><year>2011</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>50955</median_earnings><earnings_gap_from_male>5498</earnings_gap_from_male><earnings_gap_from_male_percent>0.097</earnings_gap_from_male_percent></row>
<row _id="400"><year>2010</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>57862</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="401"><year>2010</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>44862</median_earnings><earnings_gap_from_male>13000</earnings_gap_from_male><earnings_gap_from_male_percent>0.225</earnings_gap_from_male_percent></row>
<row _id="402"><year>2010</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>50135</median_earnings><earnings_gap_from_male>7727</earnings_gap_from_male><earnings_gap_from_male_percent>0.134</earnings_gap_from_male_percent></row>
<row _id="403"><year>2009</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>59212</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="404"><year>2009</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>43449</median_earnings><earnings_gap_from_male>15763</earnings_gap_from_male><earnings_gap_from_male_percent>0.266</earnings_gap_from_male_percent></row>
<row _id="405"><year>2009</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>50738</median_earnings><earnings_gap_from_male>8474</earnings_gap_from_male><earnings_gap_from_male_percent>0.143</earnings_gap_from_male_percent></row>
<row _id="406"><year>2008</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>64612</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="407"><year>2008</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>45541</median_earnings><earnings_gap_from_male>19071</earnings_gap_from_male><earnings_gap_from_male_percent>0.295</earnings_gap_from_male_percent></row>
<row _id="408"><year>2008</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>54249</median_earnings><earnings_gap_from_male>10363</earnings_gap_from_male><earnings_gap_from_male_percent>0.16</earnings_gap_from_male_percent></row>
<row _id="409"><year>2007</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>63298</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="410"><year>2007</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>45982</median_earnings><earnings_gap_from_male>17316</earnings_gap_from_male><earnings_gap_from_male_percent>0.274</earnings_gap_from_male_percent></row>
<row _id="411"><year>2007</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>52978</median_earnings><earnings_gap_from_male>10320</earnings_gap_from_male><earnings_gap_from_male_percent>0.163</earnings_gap_from_male_percent></row>
<row _id="412"><year>2006</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>63252</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="413"><year>2006</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>46876</median_earnings><earnings_gap_from_male>16376</earnings_gap_from_male><earnings_gap_from_male_percent>0.259</earnings_gap_from_male_percent></row>
<row _id="414"><year>2006</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>54705</median_earnings><earnings_gap_from_male>8547</earnings_gap_from_male><earnings_gap_from_male_percent>0.135</earnings_gap_from_male_percent></row>
<row _id="415"><year>2005</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>65872</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="416"><year>2005</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>51319</median_earnings><earnings_gap_from_male>14553</earnings_gap_from_male><earnings_gap_from_male_percent>0.221</earnings_gap_from_male_percent></row>
<row _id="417"><year>2005</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>57226</median_earnings><earnings_gap_from_male>8646</earnings_gap_from_male><earnings_gap_from_male_percent>0.131</earnings_gap_from_male_percent></row>
<row _id="418"><year>2000</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>68501</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="419"><year>2000</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>47851</median_earnings><earnings_gap_from_male>20650</earnings_gap_from_male><earnings_gap_from_male_percent>0.301</earnings_gap_from_male_percent></row>
<row _id="420"><year>2000</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>56821</median_earnings><earnings_gap_from_male>11680</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="421"><year>2024</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>72083</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="422"><year>2024</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>51972</median_earnings><earnings_gap_from_male>20111</earnings_gap_from_male><earnings_gap_from_male_percent>0.279</earnings_gap_from_male_percent></row>
<row _id="423"><year>2024</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>61862</median_earnings><earnings_gap_from_male>10221</earnings_gap_from_male><earnings_gap_from_male_percent>0.142</earnings_gap_from_male_percent></row>
<row _id="424"><year>2023</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>68396</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="425"><year>2023</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>50106</median_earnings><earnings_gap_from_male>18290</earnings_gap_from_male><earnings_gap_from_male_percent>0.267</earnings_gap_from_male_percent></row>
<row _id="426"><year>2023</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>58849</median_earnings><earnings_gap_from_male>9547</earnings_gap_from_male><earnings_gap_from_male_percent>0.14</earnings_gap_from_male_percent></row>
<row _id="427"><year>2022</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>72652</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="428"><year>2022</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>51725</median_earnings><earnings_gap_from_male>20927</earnings_gap_from_male><earnings_gap_from_male_percent>0.288</earnings_gap_from_male_percent></row>
<row _id="429"><year>2022</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>61619</median_earnings><earnings_gap_from_male>11033</earnings_gap_from_male><earnings_gap_from_male_percent>0.152</earnings_gap_from_male_percent></row>
<row _id="430"><year>2021</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>74806</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="431"><year>2021</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>53796</median_earnings><earnings_gap_from_male>21010</earnings_gap_from_male><earnings_gap_from_male_percent>0.281</earnings_gap_from_male_percent></row>
<row _id="432"><year>2021</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>63478</median_earnings><earnings_gap_from_male>11328</earnings_gap_from_male><earnings_gap_from_male_percent>0.151</earnings_gap_from_male_percent></row>
<row _id="433"><year>2019</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>70524</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="434"><year>2019</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>51895</median_earnings><earnings_gap_from_male>18629</earnings_gap_from_male><earnings_gap_from_male_percent>0.264</earnings_gap_from_male_percent></row>
<row _id="435"><year>2019</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>61816</median_earnings><earnings_gap_from_male>8708</earnings_gap_from_male><earnings_gap_from_male_percent>0.123</earnings_gap_from_male_percent></row>
<row _id="436"><year>2018</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>69515</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="437"><year>2018</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>50505</median_earnings><earnings_gap_from_male>19010</earnings_gap_from_male><earnings_gap_from_male_percent>0.273</earnings_gap_from_male_percent></row>
<row _id="438"><year>2018</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>59252</median_earnings><earnings_gap_from_male>10263</earnings_gap_from_male><earnings_gap_from_male_percent>0.148</earnings_gap_from_male_percent></row>
<row _id="439"><year>2017</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>70709</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="440"><year>2017</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>48133</median_earnings><earnings_gap_from_male>22576</earnings_gap_from_male><earnings_gap_from_male_percent>0.319</earnings_gap_from_male_percent></row>
<row _id="441"><year>2017</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>60056</median_earnings><earnings_gap_from_male>10653</earnings_gap_from_male><earnings_gap_from_male_percent>0.151</earnings_gap_from_male_percent></row>
<row _id="442"><year>2016</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>71255</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="443"><year>2016</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>48025</median_earnings><earnings_gap_from_male>23230</earnings_gap_from_male><earnings_gap_from_male_percent>0.326</earnings_gap_from_male_percent></row>
<row _id="444"><year>2016</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>59345</median_earnings><earnings_gap_from_male>11910</earnings_gap_from_male><earnings_gap_from_male_percent>0.167</earnings_gap_from_male_percent></row>
<row _id="445"><year>2015</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>68143</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="446"><year>2015</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>47469</median_earnings><earnings_gap_from_male>20674</earnings_gap_from_male><earnings_gap_from_male_percent>0.303</earnings_gap_from_male_percent></row>
<row _id="447"><year>2015</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>56287</median_earnings><earnings_gap_from_male>11856</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="448"><year>2014</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>65978</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="449"><year>2014</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>46823</median_earnings><earnings_gap_from_male>19155</earnings_gap_from_male><earnings_gap_from_male_percent>0.29</earnings_gap_from_male_percent></row>
<row _id="450"><year>2014</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>55142</median_earnings><earnings_gap_from_male>10836</earnings_gap_from_male><earnings_gap_from_male_percent>0.164</earnings_gap_from_male_percent></row>
<row _id="451"><year>2013</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>68409</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="452"><year>2013</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>45128</median_earnings><earnings_gap_from_male>23281</earnings_gap_from_male><earnings_gap_from_male_percent>0.34</earnings_gap_from_male_percent></row>
<row _id="453"><year>2013</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>55738</median_earnings><earnings_gap_from_male>12671</earnings_gap_from_male><earnings_gap_from_male_percent>0.185</earnings_gap_from_male_percent></row>
<row _id="454"><year>2012</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>68934</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="455"><year>2012</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>47053</median_earnings><earnings_gap_from_male>21881</earnings_gap_from_male><earnings_gap_from_male_percent>0.317</earnings_gap_from_male_percent></row>
<row _id="456"><year>2012</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>56563</median_earnings><earnings_gap_from_male>12371</earnings_gap_from_male><earnings_gap_from_male_percent>0.179</earnings_gap_from_male_percent></row>
<row _id="457"><year>2011</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>67966</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="458"><year>2011</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>47961</median_earnings><earnings_gap_from_male>20005</earnings_gap_from_male><earnings_gap_from_male_percent>0.294</earnings_gap_from_male_percent></row>
<row _id="459"><year>2011</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>57618</median_earnings><earnings_gap_from_male>10348</earnings_gap_from_male><earnings_gap_from_male_percent>0.152</earnings_gap_from_male_percent></row>
<row _id="460"><year>2010</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>73067</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="461"><year>2010</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>48236</median_earnings><earnings_gap_from_male>24831</earnings_gap_from_male><earnings_gap_from_male_percent>0.34</earnings_gap_from_male_percent></row>
<row _id="462"><year>2010</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>59518</median_earnings><earnings_gap_from_male>13549</earnings_gap_from_male><earnings_gap_from_male_percent>0.185</earnings_gap_from_male_percent></row>
<row _id="463"><year>2009</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>70820</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="464"><year>2009</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>46566</median_earnings><earnings_gap_from_male>24254</earnings_gap_from_male><earnings_gap_from_male_percent>0.342</earnings_gap_from_male_percent></row>
<row _id="465"><year>2009</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>58823</median_earnings><earnings_gap_from_male>11997</earnings_gap_from_male><earnings_gap_from_male_percent>0.169</earnings_gap_from_male_percent></row>
<row _id="466"><year>2008</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>74789</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="467"><year>2008</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>47857</median_earnings><earnings_gap_from_male>26932</earnings_gap_from_male><earnings_gap_from_male_percent>0.36</earnings_gap_from_male_percent></row>
<row _id="468"><year>2008</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>60708</median_earnings><earnings_gap_from_male>14081</earnings_gap_from_male><earnings_gap_from_male_percent>0.188</earnings_gap_from_male_percent></row>
<row _id="469"><year>2007</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>69364</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="470"><year>2007</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>46547</median_earnings><earnings_gap_from_male>22817</earnings_gap_from_male><earnings_gap_from_male_percent>0.329</earnings_gap_from_male_percent></row>
<row _id="471"><year>2007</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>56829</median_earnings><earnings_gap_from_male>12535</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="472"><year>2006</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>73104</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="473"><year>2006</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>47975</median_earnings><earnings_gap_from_male>25129</earnings_gap_from_male><earnings_gap_from_male_percent>0.344</earnings_gap_from_male_percent></row>
<row _id="474"><year>2006</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>58775</median_earnings><earnings_gap_from_male>14329</earnings_gap_from_male><earnings_gap_from_male_percent>0.196</earnings_gap_from_male_percent></row>
<row _id="475"><year>2005</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>74610</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="476"><year>2005</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>48204</median_earnings><earnings_gap_from_male>26406</earnings_gap_from_male><earnings_gap_from_male_percent>0.354</earnings_gap_from_male_percent></row>
<row _id="477"><year>2005</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>60341</median_earnings><earnings_gap_from_male>14269</earnings_gap_from_male><earnings_gap_from_male_percent>0.191</earnings_gap_from_male_percent></row>
<row _id="478"><year>2000</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>76678</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="479"><year>2000</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>48281</median_earnings><earnings_gap_from_male>28397</earnings_gap_from_male><earnings_gap_from_male_percent>0.37</earnings_gap_from_male_percent></row>
<row _id="480"><year>2000</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>60413</median_earnings><earnings_gap_from_male>16265</earnings_gap_from_male><earnings_gap_from_male_percent>0.212</earnings_gap_from_male_percent></row>
<row _id="481"><year>2024</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>46783</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="482"><year>2024</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>41796</median_earnings><earnings_gap_from_male>4987</earnings_gap_from_male><earnings_gap_from_male_percent>0.107</earnings_gap_from_male_percent></row>
<row _id="483"><year>2024</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>43815</median_earnings><earnings_gap_from_male>2968</earnings_gap_from_male><earnings_gap_from_male_percent>0.063</earnings_gap_from_male_percent></row>
<row _id="484"><year>2023</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>50674</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="485"><year>2023</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>42005</median_earnings><earnings_gap_from_male>8669</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="486"><year>2023</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>44592</median_earnings><earnings_gap_from_male>6082</earnings_gap_from_male><earnings_gap_from_male_percent>0.12</earnings_gap_from_male_percent></row>
<row _id="487"><year>2022</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>46281</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="488"><year>2022</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>40704</median_earnings><earnings_gap_from_male>5577</earnings_gap_from_male><earnings_gap_from_male_percent>0.121</earnings_gap_from_male_percent></row>
<row _id="489"><year>2022</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>43660</median_earnings><earnings_gap_from_male>2621</earnings_gap_from_male><earnings_gap_from_male_percent>0.057</earnings_gap_from_male_percent></row>
<row _id="490"><year>2021</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>48078</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="491"><year>2021</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>42167</median_earnings><earnings_gap_from_male>5911</earnings_gap_from_male><earnings_gap_from_male_percent>0.123</earnings_gap_from_male_percent></row>
<row _id="492"><year>2021</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>45263</median_earnings><earnings_gap_from_male>2815</earnings_gap_from_male><earnings_gap_from_male_percent>0.059</earnings_gap_from_male_percent></row>
<row _id="493"><year>2019</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>44467</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="494"><year>2019</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>37661</median_earnings><earnings_gap_from_male>6806</earnings_gap_from_male><earnings_gap_from_male_percent>0.153</earnings_gap_from_male_percent></row>
<row _id="495"><year>2019</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>39820</median_earnings><earnings_gap_from_male>4647</earnings_gap_from_male><earnings_gap_from_male_percent>0.105</earnings_gap_from_male_percent></row>
<row _id="496"><year>2018</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>44969</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="497"><year>2018</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>38836</median_earnings><earnings_gap_from_male>6133</earnings_gap_from_male><earnings_gap_from_male_percent>0.136</earnings_gap_from_male_percent></row>
<row _id="498"><year>2018</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>40787</median_earnings><earnings_gap_from_male>4182</earnings_gap_from_male><earnings_gap_from_male_percent>0.093</earnings_gap_from_male_percent></row>
<row _id="499"><year>2017</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings xsi:nil="true" /><earnings_gap_from_male xsi:nil="true" /><earnings_gap_from_male_percent xsi:nil="true" /></row>
<row _id="500"><year>2017</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings xsi:nil="true" /><earnings_gap_from_male xsi:nil="true" /><earnings_gap_from_male_percent xsi:nil="true" /></row>
<row _id="501"><year>2017</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings xsi:nil="true" /><earnings_gap_from_male xsi:nil="true" /><earnings_gap_from_male_percent xsi:nil="true" /></row>
<row _id="502"><year>2016</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>41531</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="503"><year>2016</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>38612</median_earnings><earnings_gap_from_male>2919</earnings_gap_from_male><earnings_gap_from_male_percent>0.07</earnings_gap_from_male_percent></row>
<row _id="504"><year>2016</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>40217</median_earnings><earnings_gap_from_male>1314</earnings_gap_from_male><earnings_gap_from_male_percent>0.032</earnings_gap_from_male_percent></row>
<row _id="505"><year>2015</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>42049</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="506"><year>2015</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36166</median_earnings><earnings_gap_from_male>5883</earnings_gap_from_male><earnings_gap_from_male_percent>0.14</earnings_gap_from_male_percent></row>
<row _id="507"><year>2015</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>40086</median_earnings><earnings_gap_from_male>1963</earnings_gap_from_male><earnings_gap_from_male_percent>0.047</earnings_gap_from_male_percent></row>
<row _id="508"><year>2014</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>41586</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="509"><year>2014</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36139</median_earnings><earnings_gap_from_male>5447</earnings_gap_from_male><earnings_gap_from_male_percent>0.131</earnings_gap_from_male_percent></row>
<row _id="510"><year>2014</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>39760</median_earnings><earnings_gap_from_male>1826</earnings_gap_from_male><earnings_gap_from_male_percent>0.044</earnings_gap_from_male_percent></row>
<row _id="511"><year>2013</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>42760</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="512"><year>2013</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36216</median_earnings><earnings_gap_from_male>6544</earnings_gap_from_male><earnings_gap_from_male_percent>0.153</earnings_gap_from_male_percent></row>
<row _id="513"><year>2013</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>40567</median_earnings><earnings_gap_from_male>2193</earnings_gap_from_male><earnings_gap_from_male_percent>0.051</earnings_gap_from_male_percent></row>
<row _id="514"><year>2012</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>42259</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="515"><year>2012</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>35048</median_earnings><earnings_gap_from_male>7211</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="516"><year>2012</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>37820</median_earnings><earnings_gap_from_male>4439</earnings_gap_from_male><earnings_gap_from_male_percent>0.105</earnings_gap_from_male_percent></row>
<row _id="517"><year>2011</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>42410</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="518"><year>2011</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36146</median_earnings><earnings_gap_from_male>6264</earnings_gap_from_male><earnings_gap_from_male_percent>0.148</earnings_gap_from_male_percent></row>
<row _id="519"><year>2011</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>38551</median_earnings><earnings_gap_from_male>3859</earnings_gap_from_male><earnings_gap_from_male_percent>0.091</earnings_gap_from_male_percent></row>
<row _id="520"><year>2010</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>42893</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="521"><year>2010</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>35732</median_earnings><earnings_gap_from_male>7161</earnings_gap_from_male><earnings_gap_from_male_percent>0.167</earnings_gap_from_male_percent></row>
<row _id="522"><year>2010</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>38643</median_earnings><earnings_gap_from_male>4250</earnings_gap_from_male><earnings_gap_from_male_percent>0.099</earnings_gap_from_male_percent></row>
<row _id="523"><year>2009</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>46312</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="524"><year>2009</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>38408</median_earnings><earnings_gap_from_male>7904</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="525"><year>2009</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>42511</median_earnings><earnings_gap_from_male>3801</earnings_gap_from_male><earnings_gap_from_male_percent>0.082</earnings_gap_from_male_percent></row>
<row _id="526"><year>2008</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>46569</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="527"><year>2008</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>38612</median_earnings><earnings_gap_from_male>7957</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="528"><year>2008</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>42337</median_earnings><earnings_gap_from_male>4232</earnings_gap_from_male><earnings_gap_from_male_percent>0.091</earnings_gap_from_male_percent></row>
<row _id="529"><year>2007</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>45465</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="530"><year>2007</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36611</median_earnings><earnings_gap_from_male>8854</earnings_gap_from_male><earnings_gap_from_male_percent>0.195</earnings_gap_from_male_percent></row>
<row _id="531"><year>2007</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>40087</median_earnings><earnings_gap_from_male>5378</earnings_gap_from_male><earnings_gap_from_male_percent>0.118</earnings_gap_from_male_percent></row>
<row _id="532"><year>2006</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>44738</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="533"><year>2006</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>38796</median_earnings><earnings_gap_from_male>5942</earnings_gap_from_male><earnings_gap_from_male_percent>0.133</earnings_gap_from_male_percent></row>
<row _id="534"><year>2006</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>40974</median_earnings><earnings_gap_from_male>3764</earnings_gap_from_male><earnings_gap_from_male_percent>0.084</earnings_gap_from_male_percent></row>
<row _id="535"><year>2005</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>48485</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="536"><year>2005</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>39065</median_earnings><earnings_gap_from_male>9420</earnings_gap_from_male><earnings_gap_from_male_percent>0.194</earnings_gap_from_male_percent></row>
<row _id="537"><year>2005</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>42961</median_earnings><earnings_gap_from_male>5524</earnings_gap_from_male><earnings_gap_from_male_percent>0.114</earnings_gap_from_male_percent></row>
<row _id="538"><year>2000</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>49289</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
<row _id="539"><year>2000</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>38636</median_earnings><earnings_gap_from_male>10653</earnings_gap_from_male><earnings_gap_from_male_percent>0.216</earnings_gap_from_male_percent></row>
<row _id="540"><year>2000</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>42512</median_earnings><earnings_gap_from_male>6777</earnings_gap_from_male><earnings_gap_from_male_percent>0.137</earnings_gap_from_male_percent></row>
</data>
