<data xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<row _id="1"><year>2000</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>54849</median_earnings><earnings_gap_from_male>16093</earnings_gap_from_male><earnings_gap_from_male_percent>0.227</earnings_gap_from_male_percent></row>
<row _id="2"><year>2000</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>40855</median_earnings><earnings_gap_from_male>30087</earnings_gap_from_male><earnings_gap_from_male_percent>0.424</earnings_gap_from_male_percent></row>
<row _id="3"><year>2000</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>70942</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="4"><year>2000</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>54957</median_earnings><earnings_gap_from_male>13027</earnings_gap_from_male><earnings_gap_from_male_percent>0.192</earnings_gap_from_male_percent></row>
<row _id="5"><year>2000</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44365</median_earnings><earnings_gap_from_male>23619</earnings_gap_from_male><earnings_gap_from_male_percent>0.347</earnings_gap_from_male_percent></row>
<row _id="6"><year>2000</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>67984</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="7"><year>2000</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>48154</median_earnings><earnings_gap_from_male>12468</earnings_gap_from_male><earnings_gap_from_male_percent>0.206</earnings_gap_from_male_percent></row>
<row _id="8"><year>2000</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>38389</median_earnings><earnings_gap_from_male>22233</earnings_gap_from_male><earnings_gap_from_male_percent>0.367</earnings_gap_from_male_percent></row>
<row _id="9"><year>2000</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>60622</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="10"><year>2000</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>56421</median_earnings><earnings_gap_from_male>17708</earnings_gap_from_male><earnings_gap_from_male_percent>0.239</earnings_gap_from_male_percent></row>
<row _id="11"><year>2000</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>43153</median_earnings><earnings_gap_from_male>30976</earnings_gap_from_male><earnings_gap_from_male_percent>0.418</earnings_gap_from_male_percent></row>
<row _id="12"><year>2000</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>74129</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="13"><year>2000</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>49480</median_earnings><earnings_gap_from_male>13181</earnings_gap_from_male><earnings_gap_from_male_percent>0.21</earnings_gap_from_male_percent></row>
<row _id="14"><year>2000</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>39542</median_earnings><earnings_gap_from_male>23119</earnings_gap_from_male><earnings_gap_from_male_percent>0.369</earnings_gap_from_male_percent></row>
<row _id="15"><year>2000</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>62661</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="16"><year>2000</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>51595</median_earnings><earnings_gap_from_male>15370</earnings_gap_from_male><earnings_gap_from_male_percent>0.23</earnings_gap_from_male_percent></row>
<row _id="17"><year>2000</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>38035</median_earnings><earnings_gap_from_male>28930</earnings_gap_from_male><earnings_gap_from_male_percent>0.432</earnings_gap_from_male_percent></row>
<row _id="18"><year>2000</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>66965</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="19"><year>2000</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>53012</median_earnings><earnings_gap_from_male>10898</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="20"><year>2000</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>44644</median_earnings><earnings_gap_from_male>19266</earnings_gap_from_male><earnings_gap_from_male_percent>0.301</earnings_gap_from_male_percent></row>
<row _id="21"><year>2000</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>63910</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="22"><year>2000</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>56363</median_earnings><earnings_gap_from_male>15175</earnings_gap_from_male><earnings_gap_from_male_percent>0.212</earnings_gap_from_male_percent></row>
<row _id="23"><year>2000</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>45045</median_earnings><earnings_gap_from_male>26493</earnings_gap_from_male><earnings_gap_from_male_percent>0.37</earnings_gap_from_male_percent></row>
<row _id="24"><year>2000</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>71538</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="25"><year>2000</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>39662</median_earnings><earnings_gap_from_male>6323</earnings_gap_from_male><earnings_gap_from_male_percent>0.138</earnings_gap_from_male_percent></row>
<row _id="26"><year>2000</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36046</median_earnings><earnings_gap_from_male>9939</earnings_gap_from_male><earnings_gap_from_male_percent>0.216</earnings_gap_from_male_percent></row>
<row _id="27"><year>2000</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>45985</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="28"><year>2005</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>53165</median_earnings><earnings_gap_from_male>13172</earnings_gap_from_male><earnings_gap_from_male_percent>0.199</earnings_gap_from_male_percent></row>
<row _id="29"><year>2005</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>39966</median_earnings><earnings_gap_from_male>26371</earnings_gap_from_male><earnings_gap_from_male_percent>0.398</earnings_gap_from_male_percent></row>
<row _id="30"><year>2005</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>66337</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="31"><year>2005</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55373</median_earnings><earnings_gap_from_male>14133</earnings_gap_from_male><earnings_gap_from_male_percent>0.203</earnings_gap_from_male_percent></row>
<row _id="32"><year>2005</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>42972</median_earnings><earnings_gap_from_male>26534</earnings_gap_from_male><earnings_gap_from_male_percent>0.382</earnings_gap_from_male_percent></row>
<row _id="33"><year>2005</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>69506</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="34"><year>2005</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>45737</median_earnings><earnings_gap_from_male>10421</earnings_gap_from_male><earnings_gap_from_male_percent>0.186</earnings_gap_from_male_percent></row>
<row _id="35"><year>2005</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>35752</median_earnings><earnings_gap_from_male>20406</earnings_gap_from_male><earnings_gap_from_male_percent>0.363</earnings_gap_from_male_percent></row>
<row _id="36"><year>2005</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>56158</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="37"><year>2005</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>56467</median_earnings><earnings_gap_from_male>19217</earnings_gap_from_male><earnings_gap_from_male_percent>0.254</earnings_gap_from_male_percent></row>
<row _id="38"><year>2005</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>41360</median_earnings><earnings_gap_from_male>34324</earnings_gap_from_male><earnings_gap_from_male_percent>0.454</earnings_gap_from_male_percent></row>
<row _id="39"><year>2005</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>75684</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="40"><year>2005</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>48700</median_earnings><earnings_gap_from_male>12718</earnings_gap_from_male><earnings_gap_from_male_percent>0.207</earnings_gap_from_male_percent></row>
<row _id="41"><year>2005</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>38803</median_earnings><earnings_gap_from_male>22615</earnings_gap_from_male><earnings_gap_from_male_percent>0.368</earnings_gap_from_male_percent></row>
<row _id="42"><year>2005</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>61418</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="43"><year>2005</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>52393</median_earnings><earnings_gap_from_male>15743</earnings_gap_from_male><earnings_gap_from_male_percent>0.231</earnings_gap_from_male_percent></row>
<row _id="44"><year>2005</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>38513</median_earnings><earnings_gap_from_male>29623</earnings_gap_from_male><earnings_gap_from_male_percent>0.435</earnings_gap_from_male_percent></row>
<row _id="45"><year>2005</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>68136</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="46"><year>2005</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>53391</median_earnings><earnings_gap_from_male>8066</earnings_gap_from_male><earnings_gap_from_male_percent>0.131</earnings_gap_from_male_percent></row>
<row _id="47"><year>2005</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>47879</median_earnings><earnings_gap_from_male>13578</earnings_gap_from_male><earnings_gap_from_male_percent>0.221</earnings_gap_from_male_percent></row>
<row _id="48"><year>2005</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>61457</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="49"><year>2005</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>56297</median_earnings><earnings_gap_from_male>13313</earnings_gap_from_male><earnings_gap_from_male_percent>0.191</earnings_gap_from_male_percent></row>
<row _id="50"><year>2005</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>44973</median_earnings><earnings_gap_from_male>24637</earnings_gap_from_male><earnings_gap_from_male_percent>0.354</earnings_gap_from_male_percent></row>
<row _id="51"><year>2005</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>69610</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="52"><year>2005</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>40081</median_earnings><earnings_gap_from_male>5154</earnings_gap_from_male><earnings_gap_from_male_percent>0.114</earnings_gap_from_male_percent></row>
<row _id="53"><year>2005</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36447</median_earnings><earnings_gap_from_male>8788</earnings_gap_from_male><earnings_gap_from_male_percent>0.194</earnings_gap_from_male_percent></row>
<row _id="54"><year>2005</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>45235</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="55"><year>2006</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>53296</median_earnings><earnings_gap_from_male>15581</earnings_gap_from_male><earnings_gap_from_male_percent>0.226</earnings_gap_from_male_percent></row>
<row _id="56"><year>2006</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>40131</median_earnings><earnings_gap_from_male>28746</earnings_gap_from_male><earnings_gap_from_male_percent>0.417</earnings_gap_from_male_percent></row>
<row _id="57"><year>2006</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>68877</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="58"><year>2006</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>53954</median_earnings><earnings_gap_from_male>12041</earnings_gap_from_male><earnings_gap_from_male_percent>0.182</earnings_gap_from_male_percent></row>
<row _id="59"><year>2006</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44517</median_earnings><earnings_gap_from_male>21478</earnings_gap_from_male><earnings_gap_from_male_percent>0.325</earnings_gap_from_male_percent></row>
<row _id="60"><year>2006</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>65995</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="61"><year>2006</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>46873</median_earnings><earnings_gap_from_male>9588</earnings_gap_from_male><earnings_gap_from_male_percent>0.17</earnings_gap_from_male_percent></row>
<row _id="62"><year>2006</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>39363</median_earnings><earnings_gap_from_male>17098</earnings_gap_from_male><earnings_gap_from_male_percent>0.303</earnings_gap_from_male_percent></row>
<row _id="63"><year>2006</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>56461</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="64"><year>2006</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>53855</median_earnings><earnings_gap_from_male>13647</earnings_gap_from_male><earnings_gap_from_male_percent>0.202</earnings_gap_from_male_percent></row>
<row _id="65"><year>2006</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>43410</median_earnings><earnings_gap_from_male>24092</earnings_gap_from_male><earnings_gap_from_male_percent>0.357</earnings_gap_from_male_percent></row>
<row _id="66"><year>2006</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>67502</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="67"><year>2006</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>46122</median_earnings><earnings_gap_from_male>8658</earnings_gap_from_male><earnings_gap_from_male_percent>0.158</earnings_gap_from_male_percent></row>
<row _id="68"><year>2006</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>40103</median_earnings><earnings_gap_from_male>14677</earnings_gap_from_male><earnings_gap_from_male_percent>0.268</earnings_gap_from_male_percent></row>
<row _id="69"><year>2006</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>54780</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="70"><year>2006</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>50550</median_earnings><earnings_gap_from_male>15917</earnings_gap_from_male><earnings_gap_from_male_percent>0.239</earnings_gap_from_male_percent></row>
<row _id="71"><year>2006</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>37612</median_earnings><earnings_gap_from_male>28855</earnings_gap_from_male><earnings_gap_from_male_percent>0.434</earnings_gap_from_male_percent></row>
<row _id="72"><year>2006</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>66467</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="73"><year>2006</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>51039</median_earnings><earnings_gap_from_male>7973</earnings_gap_from_male><earnings_gap_from_male_percent>0.135</earnings_gap_from_male_percent></row>
<row _id="74"><year>2006</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>43734</median_earnings><earnings_gap_from_male>15278</earnings_gap_from_male><earnings_gap_from_male_percent>0.259</earnings_gap_from_male_percent></row>
<row _id="75"><year>2006</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>59012</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="76"><year>2006</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>54836</median_earnings><earnings_gap_from_male>13368</earnings_gap_from_male><earnings_gap_from_male_percent>0.196</earnings_gap_from_male_percent></row>
<row _id="77"><year>2006</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>44760</median_earnings><earnings_gap_from_male>23444</earnings_gap_from_male><earnings_gap_from_male_percent>0.344</earnings_gap_from_male_percent></row>
<row _id="78"><year>2006</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>68204</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="79"><year>2006</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>38228</median_earnings><earnings_gap_from_male>3511</earnings_gap_from_male><earnings_gap_from_male_percent>0.084</earnings_gap_from_male_percent></row>
<row _id="80"><year>2006</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36195</median_earnings><earnings_gap_from_male>5544</earnings_gap_from_male><earnings_gap_from_male_percent>0.133</earnings_gap_from_male_percent></row>
<row _id="81"><year>2006</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>41739</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="82"><year>2007</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>51493</median_earnings><earnings_gap_from_male>12960</earnings_gap_from_male><earnings_gap_from_male_percent>0.201</earnings_gap_from_male_percent></row>
<row _id="83"><year>2007</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>40606</median_earnings><earnings_gap_from_male>23847</earnings_gap_from_male><earnings_gap_from_male_percent>0.37</earnings_gap_from_male_percent></row>
<row _id="84"><year>2007</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>64453</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="85"><year>2007</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55439</median_earnings><earnings_gap_from_male>12450</earnings_gap_from_male><earnings_gap_from_male_percent>0.183</earnings_gap_from_male_percent></row>
<row _id="86"><year>2007</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44331</median_earnings><earnings_gap_from_male>23558</earnings_gap_from_male><earnings_gap_from_male_percent>0.347</earnings_gap_from_male_percent></row>
<row _id="87"><year>2007</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>67889</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="88"><year>2007</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>45904</median_earnings><earnings_gap_from_male>9640</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="89"><year>2007</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>38161</median_earnings><earnings_gap_from_male>17383</earnings_gap_from_male><earnings_gap_from_male_percent>0.313</earnings_gap_from_male_percent></row>
<row _id="90"><year>2007</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>55544</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="91"><year>2007</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>57732</median_earnings><earnings_gap_from_male>14292</earnings_gap_from_male><earnings_gap_from_male_percent>0.198</earnings_gap_from_male_percent></row>
<row _id="92"><year>2007</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>44677</median_earnings><earnings_gap_from_male>27347</earnings_gap_from_male><earnings_gap_from_male_percent>0.38</earnings_gap_from_male_percent></row>
<row _id="93"><year>2007</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>72024</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="94"><year>2007</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>45606</median_earnings><earnings_gap_from_male>11173</earnings_gap_from_male><earnings_gap_from_male_percent>0.197</earnings_gap_from_male_percent></row>
<row _id="95"><year>2007</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>37303</median_earnings><earnings_gap_from_male>19476</earnings_gap_from_male><earnings_gap_from_male_percent>0.343</earnings_gap_from_male_percent></row>
<row _id="96"><year>2007</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>56779</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="97"><year>2007</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>53958</median_earnings><earnings_gap_from_male>10221</earnings_gap_from_male><earnings_gap_from_male_percent>0.159</earnings_gap_from_male_percent></row>
<row _id="98"><year>2007</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>44218</median_earnings><earnings_gap_from_male>19961</earnings_gap_from_male><earnings_gap_from_male_percent>0.311</earnings_gap_from_male_percent></row>
<row _id="99"><year>2007</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>64179</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="100"><year>2007</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>49427</median_earnings><earnings_gap_from_male>9628</earnings_gap_from_male><earnings_gap_from_male_percent>0.163</earnings_gap_from_male_percent></row>
<row _id="101"><year>2007</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>42900</median_earnings><earnings_gap_from_male>16155</earnings_gap_from_male><earnings_gap_from_male_percent>0.274</earnings_gap_from_male_percent></row>
<row _id="102"><year>2007</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>59055</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="103"><year>2007</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>53020</median_earnings><earnings_gap_from_male>11695</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="104"><year>2007</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>43427</median_earnings><earnings_gap_from_male>21288</earnings_gap_from_male><earnings_gap_from_male_percent>0.329</earnings_gap_from_male_percent></row>
<row _id="105"><year>2007</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>64715</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="106"><year>2007</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>37400</median_earnings><earnings_gap_from_male>5018</earnings_gap_from_male><earnings_gap_from_male_percent>0.118</earnings_gap_from_male_percent></row>
<row _id="107"><year>2007</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>34157</median_earnings><earnings_gap_from_male>8261</earnings_gap_from_male><earnings_gap_from_male_percent>0.195</earnings_gap_from_male_percent></row>
<row _id="108"><year>2007</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>42418</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="109"><year>2008</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>53507</median_earnings><earnings_gap_from_male>11394</earnings_gap_from_male><earnings_gap_from_male_percent>0.176</earnings_gap_from_male_percent></row>
<row _id="110"><year>2008</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>41637</median_earnings><earnings_gap_from_male>23264</earnings_gap_from_male><earnings_gap_from_male_percent>0.358</earnings_gap_from_male_percent></row>
<row _id="111"><year>2008</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>64901</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="112"><year>2008</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55449</median_earnings><earnings_gap_from_male>13178</earnings_gap_from_male><earnings_gap_from_male_percent>0.192</earnings_gap_from_male_percent></row>
<row _id="113"><year>2008</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>42785</median_earnings><earnings_gap_from_male>25842</earnings_gap_from_male><earnings_gap_from_male_percent>0.377</earnings_gap_from_male_percent></row>
<row _id="114"><year>2008</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>68627</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="115"><year>2008</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>48217</median_earnings><earnings_gap_from_male>9151</earnings_gap_from_male><earnings_gap_from_male_percent>0.16</earnings_gap_from_male_percent></row>
<row _id="116"><year>2008</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>39602</median_earnings><earnings_gap_from_male>17766</earnings_gap_from_male><earnings_gap_from_male_percent>0.31</earnings_gap_from_male_percent></row>
<row _id="117"><year>2008</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>57368</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="118"><year>2008</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>56913</median_earnings><earnings_gap_from_male>14044</earnings_gap_from_male><earnings_gap_from_male_percent>0.198</earnings_gap_from_male_percent></row>
<row _id="119"><year>2008</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>43518</median_earnings><earnings_gap_from_male>27439</earnings_gap_from_male><earnings_gap_from_male_percent>0.387</earnings_gap_from_male_percent></row>
<row _id="120"><year>2008</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>70957</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="121"><year>2008</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>47782</median_earnings><earnings_gap_from_male>10283</earnings_gap_from_male><earnings_gap_from_male_percent>0.177</earnings_gap_from_male_percent></row>
<row _id="122"><year>2008</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>39164</median_earnings><earnings_gap_from_male>18901</earnings_gap_from_male><earnings_gap_from_male_percent>0.326</earnings_gap_from_male_percent></row>
<row _id="123"><year>2008</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>58065</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="124"><year>2008</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>50243</median_earnings><earnings_gap_from_male>13116</earnings_gap_from_male><earnings_gap_from_male_percent>0.207</earnings_gap_from_male_percent></row>
<row _id="125"><year>2008</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>39382</median_earnings><earnings_gap_from_male>23977</earnings_gap_from_male><earnings_gap_from_male_percent>0.378</earnings_gap_from_male_percent></row>
<row _id="126"><year>2008</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>63359</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="127"><year>2008</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>50613</median_earnings><earnings_gap_from_male>9669</earnings_gap_from_male><earnings_gap_from_male_percent>0.16</earnings_gap_from_male_percent></row>
<row _id="128"><year>2008</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>42489</median_earnings><earnings_gap_from_male>17793</earnings_gap_from_male><earnings_gap_from_male_percent>0.295</earnings_gap_from_male_percent></row>
<row _id="129"><year>2008</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>60282</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="130"><year>2008</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>56639</median_earnings><earnings_gap_from_male>13137</earnings_gap_from_male><earnings_gap_from_male_percent>0.188</earnings_gap_from_male_percent></row>
<row _id="131"><year>2008</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>44649</median_earnings><earnings_gap_from_male>25127</earnings_gap_from_male><earnings_gap_from_male_percent>0.36</earnings_gap_from_male_percent></row>
<row _id="132"><year>2008</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>69776</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="133"><year>2008</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>39499</median_earnings><earnings_gap_from_male>3949</earnings_gap_from_male><earnings_gap_from_male_percent>0.091</earnings_gap_from_male_percent></row>
<row _id="134"><year>2008</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36024</median_earnings><earnings_gap_from_male>7424</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="135"><year>2008</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>43448</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="136"><year>2009</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>50828</median_earnings><earnings_gap_from_male>11769</earnings_gap_from_male><earnings_gap_from_male_percent>0.188</earnings_gap_from_male_percent></row>
<row _id="137"><year>2009</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>39390</median_earnings><earnings_gap_from_male>23207</earnings_gap_from_male><earnings_gap_from_male_percent>0.371</earnings_gap_from_male_percent></row>
<row _id="138"><year>2009</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>62597</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="139"><year>2009</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>53722</median_earnings><earnings_gap_from_male>9321</earnings_gap_from_male><earnings_gap_from_male_percent>0.148</earnings_gap_from_male_percent></row>
<row _id="140"><year>2009</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44629</median_earnings><earnings_gap_from_male>18414</earnings_gap_from_male><earnings_gap_from_male_percent>0.292</earnings_gap_from_male_percent></row>
<row _id="141"><year>2009</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>63043</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="142"><year>2009</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>47848</median_earnings><earnings_gap_from_male>10068</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="143"><year>2009</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>38750</median_earnings><earnings_gap_from_male>19166</earnings_gap_from_male><earnings_gap_from_male_percent>0.331</earnings_gap_from_male_percent></row>
<row _id="144"><year>2009</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>57916</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="145"><year>2009</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>52690</median_earnings><earnings_gap_from_male>16927</earnings_gap_from_male><earnings_gap_from_male_percent>0.243</earnings_gap_from_male_percent></row>
<row _id="146"><year>2009</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>39563</median_earnings><earnings_gap_from_male>30054</earnings_gap_from_male><earnings_gap_from_male_percent>0.432</earnings_gap_from_male_percent></row>
<row _id="147"><year>2009</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>69617</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="148"><year>2009</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>46386</median_earnings><earnings_gap_from_male>7863</earnings_gap_from_male><earnings_gap_from_male_percent>0.145</earnings_gap_from_male_percent></row>
<row _id="149"><year>2009</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>39312</median_earnings><earnings_gap_from_male>14937</earnings_gap_from_male><earnings_gap_from_male_percent>0.275</earnings_gap_from_male_percent></row>
<row _id="150"><year>2009</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>54249</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="151"><year>2009</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>52411</median_earnings><earnings_gap_from_male>11702</earnings_gap_from_male><earnings_gap_from_male_percent>0.183</earnings_gap_from_male_percent></row>
<row _id="152"><year>2009</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>40273</median_earnings><earnings_gap_from_male>23840</earnings_gap_from_male><earnings_gap_from_male_percent>0.372</earnings_gap_from_male_percent></row>
<row _id="153"><year>2009</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>64113</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="154"><year>2009</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>47337</median_earnings><earnings_gap_from_male>7907</earnings_gap_from_male><earnings_gap_from_male_percent>0.143</earnings_gap_from_male_percent></row>
<row _id="155"><year>2009</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>40537</median_earnings><earnings_gap_from_male>14707</earnings_gap_from_male><earnings_gap_from_male_percent>0.266</earnings_gap_from_male_percent></row>
<row _id="156"><year>2009</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>55244</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="157"><year>2009</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>54880</median_earnings><earnings_gap_from_male>11193</earnings_gap_from_male><earnings_gap_from_male_percent>0.169</earnings_gap_from_male_percent></row>
<row _id="158"><year>2009</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>43445</median_earnings><earnings_gap_from_male>22628</earnings_gap_from_male><earnings_gap_from_male_percent>0.342</earnings_gap_from_male_percent></row>
<row _id="159"><year>2009</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>66073</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="160"><year>2009</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>39662</median_earnings><earnings_gap_from_male>3546</earnings_gap_from_male><earnings_gap_from_male_percent>0.082</earnings_gap_from_male_percent></row>
<row _id="161"><year>2009</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>35834</median_earnings><earnings_gap_from_male>7374</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="162"><year>2009</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>43208</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="163"><year>2010</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>49389</median_earnings><earnings_gap_from_male>12153</earnings_gap_from_male><earnings_gap_from_male_percent>0.197</earnings_gap_from_male_percent></row>
<row _id="164"><year>2010</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>38295</median_earnings><earnings_gap_from_male>23247</earnings_gap_from_male><earnings_gap_from_male_percent>0.378</earnings_gap_from_male_percent></row>
<row _id="165"><year>2010</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>61542</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="166"><year>2010</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>56150</median_earnings><earnings_gap_from_male>9993</earnings_gap_from_male><earnings_gap_from_male_percent>0.151</earnings_gap_from_male_percent></row>
<row _id="167"><year>2010</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47608</median_earnings><earnings_gap_from_male>18535</earnings_gap_from_male><earnings_gap_from_male_percent>0.28</earnings_gap_from_male_percent></row>
<row _id="168"><year>2010</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>66143</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="169"><year>2010</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>43601</median_earnings><earnings_gap_from_male>8908</earnings_gap_from_male><earnings_gap_from_male_percent>0.17</earnings_gap_from_male_percent></row>
<row _id="170"><year>2010</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>38228</median_earnings><earnings_gap_from_male>14281</earnings_gap_from_male><earnings_gap_from_male_percent>0.272</earnings_gap_from_male_percent></row>
<row _id="171"><year>2010</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>52509</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="172"><year>2010</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>55110</median_earnings><earnings_gap_from_male>12988</earnings_gap_from_male><earnings_gap_from_male_percent>0.191</earnings_gap_from_male_percent></row>
<row _id="173"><year>2010</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>45151</median_earnings><earnings_gap_from_male>22947</earnings_gap_from_male><earnings_gap_from_male_percent>0.337</earnings_gap_from_male_percent></row>
<row _id="174"><year>2010</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>68098</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="175"><year>2010</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>43468</median_earnings><earnings_gap_from_male>11610</earnings_gap_from_male><earnings_gap_from_male_percent>0.211</earnings_gap_from_male_percent></row>
<row _id="176"><year>2010</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>37049</median_earnings><earnings_gap_from_male>18029</earnings_gap_from_male><earnings_gap_from_male_percent>0.327</earnings_gap_from_male_percent></row>
<row _id="177"><year>2010</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>55078</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="178"><year>2010</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>53291</median_earnings><earnings_gap_from_male>9652</earnings_gap_from_male><earnings_gap_from_male_percent>0.153</earnings_gap_from_male_percent></row>
<row _id="179"><year>2010</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>41018</median_earnings><earnings_gap_from_male>21925</earnings_gap_from_male><earnings_gap_from_male_percent>0.348</earnings_gap_from_male_percent></row>
<row _id="180"><year>2010</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>62943</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="181"><year>2010</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>46774</median_earnings><earnings_gap_from_male>7209</earnings_gap_from_male><earnings_gap_from_male_percent>0.134</earnings_gap_from_male_percent></row>
<row _id="182"><year>2010</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>41855</median_earnings><earnings_gap_from_male>12128</earnings_gap_from_male><earnings_gap_from_male_percent>0.225</earnings_gap_from_male_percent></row>
<row _id="183"><year>2010</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>53983</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="184"><year>2010</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>55528</median_earnings><earnings_gap_from_male>12642</earnings_gap_from_male><earnings_gap_from_male_percent>0.185</earnings_gap_from_male_percent></row>
<row _id="185"><year>2010</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>45003</median_earnings><earnings_gap_from_male>23167</earnings_gap_from_male><earnings_gap_from_male_percent>0.34</earnings_gap_from_male_percent></row>
<row _id="186"><year>2010</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>68170</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="187"><year>2010</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>36053</median_earnings><earnings_gap_from_male>3965</earnings_gap_from_male><earnings_gap_from_male_percent>0.099</earnings_gap_from_male_percent></row>
<row _id="188"><year>2010</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>33337</median_earnings><earnings_gap_from_male>6681</earnings_gap_from_male><earnings_gap_from_male_percent>0.167</earnings_gap_from_male_percent></row>
<row _id="189"><year>2010</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>40018</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="190"><year>2011</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>50958</median_earnings><earnings_gap_from_male>8909</earnings_gap_from_male><earnings_gap_from_male_percent>0.149</earnings_gap_from_male_percent></row>
<row _id="191"><year>2011</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>41085</median_earnings><earnings_gap_from_male>18782</earnings_gap_from_male><earnings_gap_from_male_percent>0.314</earnings_gap_from_male_percent></row>
<row _id="192"><year>2011</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>59867</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="193"><year>2011</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>51875</median_earnings><earnings_gap_from_male>9661</earnings_gap_from_male><earnings_gap_from_male_percent>0.157</earnings_gap_from_male_percent></row>
<row _id="194"><year>2011</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44707</median_earnings><earnings_gap_from_male>16829</earnings_gap_from_male><earnings_gap_from_male_percent>0.273</earnings_gap_from_male_percent></row>
<row _id="195"><year>2011</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>61536</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="196"><year>2011</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>45173</median_earnings><earnings_gap_from_male>9954</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="197"><year>2011</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>38709</median_earnings><earnings_gap_from_male>16418</earnings_gap_from_male><earnings_gap_from_male_percent>0.298</earnings_gap_from_male_percent></row>
<row _id="198"><year>2011</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>55127</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="199"><year>2011</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>53124</median_earnings><earnings_gap_from_male>13162</earnings_gap_from_male><earnings_gap_from_male_percent>0.199</earnings_gap_from_male_percent></row>
<row _id="200"><year>2011</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>41257</median_earnings><earnings_gap_from_male>25029</earnings_gap_from_male><earnings_gap_from_male_percent>0.378</earnings_gap_from_male_percent></row>
<row _id="201"><year>2011</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>66286</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="202"><year>2011</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>45967</median_earnings><earnings_gap_from_male>7088</earnings_gap_from_male><earnings_gap_from_male_percent>0.134</earnings_gap_from_male_percent></row>
<row _id="203"><year>2011</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>40420</median_earnings><earnings_gap_from_male>12635</earnings_gap_from_male><earnings_gap_from_male_percent>0.238</earnings_gap_from_male_percent></row>
<row _id="204"><year>2011</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>53055</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="205"><year>2011</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>52767</median_earnings><earnings_gap_from_male>8515</earnings_gap_from_male><earnings_gap_from_male_percent>0.139</earnings_gap_from_male_percent></row>
<row _id="206"><year>2011</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>42265</median_earnings><earnings_gap_from_male>19017</earnings_gap_from_male><earnings_gap_from_male_percent>0.31</earnings_gap_from_male_percent></row>
<row _id="207"><year>2011</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>61282</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="208"><year>2011</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>47540</median_earnings><earnings_gap_from_male>5129</earnings_gap_from_male><earnings_gap_from_male_percent>0.097</earnings_gap_from_male_percent></row>
<row _id="209"><year>2011</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>43920</median_earnings><earnings_gap_from_male>8749</earnings_gap_from_male><earnings_gap_from_male_percent>0.166</earnings_gap_from_male_percent></row>
<row _id="210"><year>2011</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>52669</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="211"><year>2011</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>53756</median_earnings><earnings_gap_from_male>9655</earnings_gap_from_male><earnings_gap_from_male_percent>0.152</earnings_gap_from_male_percent></row>
<row _id="212"><year>2011</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>44747</median_earnings><earnings_gap_from_male>18664</earnings_gap_from_male><earnings_gap_from_male_percent>0.294</earnings_gap_from_male_percent></row>
<row _id="213"><year>2011</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>63411</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="214"><year>2011</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>35967</median_earnings><earnings_gap_from_male>3600</earnings_gap_from_male><earnings_gap_from_male_percent>0.091</earnings_gap_from_male_percent></row>
<row _id="215"><year>2011</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>33724</median_earnings><earnings_gap_from_male>5843</earnings_gap_from_male><earnings_gap_from_male_percent>0.148</earnings_gap_from_male_percent></row>
<row _id="216"><year>2011</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>39567</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="217"><year>2012</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>51689</median_earnings><earnings_gap_from_male>8447</earnings_gap_from_male><earnings_gap_from_male_percent>0.14</earnings_gap_from_male_percent></row>
<row _id="218"><year>2012</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>41252</median_earnings><earnings_gap_from_male>18884</earnings_gap_from_male><earnings_gap_from_male_percent>0.314</earnings_gap_from_male_percent></row>
<row _id="219"><year>2012</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>60136</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="220"><year>2012</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>52806</median_earnings><earnings_gap_from_male>9840</earnings_gap_from_male><earnings_gap_from_male_percent>0.157</earnings_gap_from_male_percent></row>
<row _id="221"><year>2012</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44276</median_earnings><earnings_gap_from_male>18370</earnings_gap_from_male><earnings_gap_from_male_percent>0.293</earnings_gap_from_male_percent></row>
<row _id="222"><year>2012</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>62646</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="223"><year>2012</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>44848</median_earnings><earnings_gap_from_male>7370</earnings_gap_from_male><earnings_gap_from_male_percent>0.141</earnings_gap_from_male_percent></row>
<row _id="224"><year>2012</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>36870</median_earnings><earnings_gap_from_male>15348</earnings_gap_from_male><earnings_gap_from_male_percent>0.294</earnings_gap_from_male_percent></row>
<row _id="225"><year>2012</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>52218</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="226"><year>2012</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>52351</median_earnings><earnings_gap_from_male>11834</earnings_gap_from_male><earnings_gap_from_male_percent>0.184</earnings_gap_from_male_percent></row>
<row _id="227"><year>2012</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>40930</median_earnings><earnings_gap_from_male>23255</earnings_gap_from_male><earnings_gap_from_male_percent>0.362</earnings_gap_from_male_percent></row>
<row _id="228"><year>2012</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>64185</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="229"><year>2012</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>45181</median_earnings><earnings_gap_from_male>7736</earnings_gap_from_male><earnings_gap_from_male_percent>0.146</earnings_gap_from_male_percent></row>
<row _id="230"><year>2012</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>38046</median_earnings><earnings_gap_from_male>14871</earnings_gap_from_male><earnings_gap_from_male_percent>0.281</earnings_gap_from_male_percent></row>
<row _id="231"><year>2012</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>52917</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="232"><year>2012</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>53528</median_earnings><earnings_gap_from_male>13059</earnings_gap_from_male><earnings_gap_from_male_percent>0.196</earnings_gap_from_male_percent></row>
<row _id="233"><year>2012</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>41860</median_earnings><earnings_gap_from_male>24727</earnings_gap_from_male><earnings_gap_from_male_percent>0.371</earnings_gap_from_male_percent></row>
<row _id="234"><year>2012</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>66587</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="235"><year>2012</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>45893</median_earnings><earnings_gap_from_male>7074</earnings_gap_from_male><earnings_gap_from_male_percent>0.134</earnings_gap_from_male_percent></row>
<row _id="236"><year>2012</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>39735</median_earnings><earnings_gap_from_male>13232</earnings_gap_from_male><earnings_gap_from_male_percent>0.25</earnings_gap_from_male_percent></row>
<row _id="237"><year>2012</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>52967</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="238"><year>2012</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>52771</median_earnings><earnings_gap_from_male>11543</earnings_gap_from_male><earnings_gap_from_male_percent>0.179</earnings_gap_from_male_percent></row>
<row _id="239"><year>2012</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>43899</median_earnings><earnings_gap_from_male>20415</earnings_gap_from_male><earnings_gap_from_male_percent>0.317</earnings_gap_from_male_percent></row>
<row _id="240"><year>2012</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>64314</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="241"><year>2012</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>35285</median_earnings><earnings_gap_from_male>4142</earnings_gap_from_male><earnings_gap_from_male_percent>0.105</earnings_gap_from_male_percent></row>
<row _id="242"><year>2012</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>32699</median_earnings><earnings_gap_from_male>6728</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="243"><year>2012</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>39427</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="244"><year>2013</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>51084</median_earnings><earnings_gap_from_male>8226</earnings_gap_from_male><earnings_gap_from_male_percent>0.139</earnings_gap_from_male_percent></row>
<row _id="245"><year>2013</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>39460</median_earnings><earnings_gap_from_male>19850</earnings_gap_from_male><earnings_gap_from_male_percent>0.335</earnings_gap_from_male_percent></row>
<row _id="246"><year>2013</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>59310</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="247"><year>2013</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>52198</median_earnings><earnings_gap_from_male>10429</earnings_gap_from_male><earnings_gap_from_male_percent>0.167</earnings_gap_from_male_percent></row>
<row _id="248"><year>2013</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44952</median_earnings><earnings_gap_from_male>17675</earnings_gap_from_male><earnings_gap_from_male_percent>0.282</earnings_gap_from_male_percent></row>
<row _id="249"><year>2013</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>62627</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="250"><year>2013</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>41454</median_earnings><earnings_gap_from_male>10152</earnings_gap_from_male><earnings_gap_from_male_percent>0.197</earnings_gap_from_male_percent></row>
<row _id="251"><year>2013</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>34536</median_earnings><earnings_gap_from_male>17070</earnings_gap_from_male><earnings_gap_from_male_percent>0.331</earnings_gap_from_male_percent></row>
<row _id="252"><year>2013</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>51606</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="253"><year>2013</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>51577</median_earnings><earnings_gap_from_male>12486</earnings_gap_from_male><earnings_gap_from_male_percent>0.195</earnings_gap_from_male_percent></row>
<row _id="254"><year>2013</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>40446</median_earnings><earnings_gap_from_male>23617</earnings_gap_from_male><earnings_gap_from_male_percent>0.369</earnings_gap_from_male_percent></row>
<row _id="255"><year>2013</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>64063</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="256"><year>2013</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>45850</median_earnings><earnings_gap_from_male>6907</earnings_gap_from_male><earnings_gap_from_male_percent>0.131</earnings_gap_from_male_percent></row>
<row _id="257"><year>2013</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>39501</median_earnings><earnings_gap_from_male>13256</earnings_gap_from_male><earnings_gap_from_male_percent>0.251</earnings_gap_from_male_percent></row>
<row _id="258"><year>2013</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>52757</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="259"><year>2013</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>48810</median_earnings><earnings_gap_from_male>12548</earnings_gap_from_male><earnings_gap_from_male_percent>0.205</earnings_gap_from_male_percent></row>
<row _id="260"><year>2013</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>39079</median_earnings><earnings_gap_from_male>22279</earnings_gap_from_male><earnings_gap_from_male_percent>0.363</earnings_gap_from_male_percent></row>
<row _id="261"><year>2013</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>61358</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="262"><year>2013</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>44288</median_earnings><earnings_gap_from_male>3331</earnings_gap_from_male><earnings_gap_from_male_percent>0.07</earnings_gap_from_male_percent></row>
<row _id="263"><year>2013</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>38802</median_earnings><earnings_gap_from_male>8817</earnings_gap_from_male><earnings_gap_from_male_percent>0.185</earnings_gap_from_male_percent></row>
<row _id="264"><year>2013</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>47619</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="265"><year>2013</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>52002</median_earnings><earnings_gap_from_male>11822</earnings_gap_from_male><earnings_gap_from_male_percent>0.185</earnings_gap_from_male_percent></row>
<row _id="266"><year>2013</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>42103</median_earnings><earnings_gap_from_male>21721</earnings_gap_from_male><earnings_gap_from_male_percent>0.34</earnings_gap_from_male_percent></row>
<row _id="267"><year>2013</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>63824</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="268"><year>2013</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>37848</median_earnings><earnings_gap_from_male>2046</earnings_gap_from_male><earnings_gap_from_male_percent>0.051</earnings_gap_from_male_percent></row>
<row _id="269"><year>2013</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>33788</median_earnings><earnings_gap_from_male>6106</earnings_gap_from_male><earnings_gap_from_male_percent>0.153</earnings_gap_from_male_percent></row>
<row _id="270"><year>2013</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>39894</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="271"><year>2014</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>50764</median_earnings><earnings_gap_from_male>9295</earnings_gap_from_male><earnings_gap_from_male_percent>0.155</earnings_gap_from_male_percent></row>
<row _id="272"><year>2014</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>41076</median_earnings><earnings_gap_from_male>18983</earnings_gap_from_male><earnings_gap_from_male_percent>0.316</earnings_gap_from_male_percent></row>
<row _id="273"><year>2014</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>60059</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="274"><year>2014</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>51380</median_earnings><earnings_gap_from_male>9597</earnings_gap_from_male><earnings_gap_from_male_percent>0.157</earnings_gap_from_male_percent></row>
<row _id="275"><year>2014</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44489</median_earnings><earnings_gap_from_male>16488</earnings_gap_from_male><earnings_gap_from_male_percent>0.27</earnings_gap_from_male_percent></row>
<row _id="276"><year>2014</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>60977</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="277"><year>2014</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>44010</median_earnings><earnings_gap_from_male>6842</earnings_gap_from_male><earnings_gap_from_male_percent>0.135</earnings_gap_from_male_percent></row>
<row _id="278"><year>2014</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>37790</median_earnings><earnings_gap_from_male>13062</earnings_gap_from_male><earnings_gap_from_male_percent>0.257</earnings_gap_from_male_percent></row>
<row _id="279"><year>2014</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>50852</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="280"><year>2014</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>52414</median_earnings><earnings_gap_from_male>11260</earnings_gap_from_male><earnings_gap_from_male_percent>0.177</earnings_gap_from_male_percent></row>
<row _id="281"><year>2014</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>43143</median_earnings><earnings_gap_from_male>20531</earnings_gap_from_male><earnings_gap_from_male_percent>0.322</earnings_gap_from_male_percent></row>
<row _id="282"><year>2014</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>63674</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="283"><year>2014</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>44186</median_earnings><earnings_gap_from_male>7742</earnings_gap_from_male><earnings_gap_from_male_percent>0.149</earnings_gap_from_male_percent></row>
<row _id="284"><year>2014</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>37577</median_earnings><earnings_gap_from_male>14351</earnings_gap_from_male><earnings_gap_from_male_percent>0.276</earnings_gap_from_male_percent></row>
<row _id="285"><year>2014</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>51928</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="286"><year>2014</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>49526</median_earnings><earnings_gap_from_male>9235</earnings_gap_from_male><earnings_gap_from_male_percent>0.157</earnings_gap_from_male_percent></row>
<row _id="287"><year>2014</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>38147</median_earnings><earnings_gap_from_male>20614</earnings_gap_from_male><earnings_gap_from_male_percent>0.351</earnings_gap_from_male_percent></row>
<row _id="288"><year>2014</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>58761</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="289"><year>2014</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>44707</median_earnings><earnings_gap_from_male>6197</earnings_gap_from_male><earnings_gap_from_male_percent>0.122</earnings_gap_from_male_percent></row>
<row _id="290"><year>2014</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>38953</median_earnings><earnings_gap_from_male>11951</earnings_gap_from_male><earnings_gap_from_male_percent>0.235</earnings_gap_from_male_percent></row>
<row _id="291"><year>2014</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>50904</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="292"><year>2014</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>51446</median_earnings><earnings_gap_from_male>10109</earnings_gap_from_male><earnings_gap_from_male_percent>0.164</earnings_gap_from_male_percent></row>
<row _id="293"><year>2014</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>43685</median_earnings><earnings_gap_from_male>17870</earnings_gap_from_male><earnings_gap_from_male_percent>0.29</earnings_gap_from_male_percent></row>
<row _id="294"><year>2014</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>61555</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="295"><year>2014</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>37095</median_earnings><earnings_gap_from_male>1704</earnings_gap_from_male><earnings_gap_from_male_percent>0.044</earnings_gap_from_male_percent></row>
<row _id="296"><year>2014</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>33717</median_earnings><earnings_gap_from_male>5082</earnings_gap_from_male><earnings_gap_from_male_percent>0.131</earnings_gap_from_male_percent></row>
<row _id="297"><year>2014</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>38799</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="298"><year>2015</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>51379</median_earnings><earnings_gap_from_male>11506</earnings_gap_from_male><earnings_gap_from_male_percent>0.183</earnings_gap_from_male_percent></row>
<row _id="299"><year>2015</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>39873</median_earnings><earnings_gap_from_male>23012</earnings_gap_from_male><earnings_gap_from_male_percent>0.366</earnings_gap_from_male_percent></row>
<row _id="300"><year>2015</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>62885</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="301"><year>2015</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>50218</median_earnings><earnings_gap_from_male>7127</earnings_gap_from_male><earnings_gap_from_male_percent>0.124</earnings_gap_from_male_percent></row>
<row _id="302"><year>2015</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>42775</median_earnings><earnings_gap_from_male>14570</earnings_gap_from_male><earnings_gap_from_male_percent>0.254</earnings_gap_from_male_percent></row>
<row _id="303"><year>2015</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>57345</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="304"><year>2015</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>45306</median_earnings><earnings_gap_from_male>6593</earnings_gap_from_male><earnings_gap_from_male_percent>0.127</earnings_gap_from_male_percent></row>
<row _id="305"><year>2015</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>38710</median_earnings><earnings_gap_from_male>13189</earnings_gap_from_male><earnings_gap_from_male_percent>0.254</earnings_gap_from_male_percent></row>
<row _id="306"><year>2015</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>51899</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="307"><year>2015</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>53803</median_earnings><earnings_gap_from_male>11022</earnings_gap_from_male><earnings_gap_from_male_percent>0.17</earnings_gap_from_male_percent></row>
<row _id="308"><year>2015</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>44013</median_earnings><earnings_gap_from_male>20812</earnings_gap_from_male><earnings_gap_from_male_percent>0.321</earnings_gap_from_male_percent></row>
<row _id="309"><year>2015</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>64825</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="310"><year>2015</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>44094</median_earnings><earnings_gap_from_male>6794</earnings_gap_from_male><earnings_gap_from_male_percent>0.134</earnings_gap_from_male_percent></row>
<row _id="311"><year>2015</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>38183</median_earnings><earnings_gap_from_male>12705</earnings_gap_from_male><earnings_gap_from_male_percent>0.25</earnings_gap_from_male_percent></row>
<row _id="312"><year>2015</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>50888</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="313"><year>2015</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>50525</median_earnings><earnings_gap_from_male>12570</earnings_gap_from_male><earnings_gap_from_male_percent>0.199</earnings_gap_from_male_percent></row>
<row _id="314"><year>2015</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>39254</median_earnings><earnings_gap_from_male>23841</earnings_gap_from_male><earnings_gap_from_male_percent>0.378</earnings_gap_from_male_percent></row>
<row _id="315"><year>2015</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>63095</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="316"><year>2015</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>44208</median_earnings><earnings_gap_from_male>6904</earnings_gap_from_male><earnings_gap_from_male_percent>0.135</earnings_gap_from_male_percent></row>
<row _id="317"><year>2015</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>36656</median_earnings><earnings_gap_from_male>14456</earnings_gap_from_male><earnings_gap_from_male_percent>0.283</earnings_gap_from_male_percent></row>
<row _id="318"><year>2015</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>51112</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="319"><year>2015</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>52515</median_earnings><earnings_gap_from_male>11060</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="320"><year>2015</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>44287</median_earnings><earnings_gap_from_male>19288</earnings_gap_from_male><earnings_gap_from_male_percent>0.303</earnings_gap_from_male_percent></row>
<row _id="321"><year>2015</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>63575</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="322"><year>2015</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>37399</median_earnings><earnings_gap_from_male>1831</earnings_gap_from_male><earnings_gap_from_male_percent>0.047</earnings_gap_from_male_percent></row>
<row _id="323"><year>2015</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>33742</median_earnings><earnings_gap_from_male>5488</earnings_gap_from_male><earnings_gap_from_male_percent>0.14</earnings_gap_from_male_percent></row>
<row _id="324"><year>2015</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>39230</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="325"><year>2016</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>49801</median_earnings><earnings_gap_from_male>10984</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="326"><year>2016</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>40157</median_earnings><earnings_gap_from_male>20628</earnings_gap_from_male><earnings_gap_from_male_percent>0.339</earnings_gap_from_male_percent></row>
<row _id="327"><year>2016</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>60785</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="328"><year>2016</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>52132</median_earnings><earnings_gap_from_male>9943</earnings_gap_from_male><earnings_gap_from_male_percent>0.16</earnings_gap_from_male_percent></row>
<row _id="329"><year>2016</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44372</median_earnings><earnings_gap_from_male>17703</earnings_gap_from_male><earnings_gap_from_male_percent>0.285</earnings_gap_from_male_percent></row>
<row _id="330"><year>2016</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>62075</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="331"><year>2016</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>44920</median_earnings><earnings_gap_from_male>6612</earnings_gap_from_male><earnings_gap_from_male_percent>0.128</earnings_gap_from_male_percent></row>
<row _id="332"><year>2016</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>38528</median_earnings><earnings_gap_from_male>13004</earnings_gap_from_male><earnings_gap_from_male_percent>0.252</earnings_gap_from_male_percent></row>
<row _id="333"><year>2016</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>51532</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="334"><year>2016</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>54346</median_earnings><earnings_gap_from_male>12802</earnings_gap_from_male><earnings_gap_from_male_percent>0.191</earnings_gap_from_male_percent></row>
<row _id="335"><year>2016</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>40513</median_earnings><earnings_gap_from_male>26635</earnings_gap_from_male><earnings_gap_from_male_percent>0.397</earnings_gap_from_male_percent></row>
<row _id="336"><year>2016</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>67148</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="337"><year>2016</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>45449</median_earnings><earnings_gap_from_male>9937</earnings_gap_from_male><earnings_gap_from_male_percent>0.179</earnings_gap_from_male_percent></row>
<row _id="338"><year>2016</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>37790</median_earnings><earnings_gap_from_male>17596</earnings_gap_from_male><earnings_gap_from_male_percent>0.318</earnings_gap_from_male_percent></row>
<row _id="339"><year>2016</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>55386</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="340"><year>2016</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>51763</median_earnings><earnings_gap_from_male>10895</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="341"><year>2016</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>43768</median_earnings><earnings_gap_from_male>18890</earnings_gap_from_male><earnings_gap_from_male_percent>0.301</earnings_gap_from_male_percent></row>
<row _id="342"><year>2016</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>62658</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="343"><year>2016</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>48928</median_earnings><earnings_gap_from_male>6237</earnings_gap_from_male><earnings_gap_from_male_percent>0.113</earnings_gap_from_male_percent></row>
<row _id="344"><year>2016</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>41904</median_earnings><earnings_gap_from_male>13261</earnings_gap_from_male><earnings_gap_from_male_percent>0.24</earnings_gap_from_male_percent></row>
<row _id="345"><year>2016</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>55165</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="346"><year>2016</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>55367</median_earnings><earnings_gap_from_male>11112</earnings_gap_from_male><earnings_gap_from_male_percent>0.167</earnings_gap_from_male_percent></row>
<row _id="347"><year>2016</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>44806</median_earnings><earnings_gap_from_male>21673</earnings_gap_from_male><earnings_gap_from_male_percent>0.326</earnings_gap_from_male_percent></row>
<row _id="348"><year>2016</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>66479</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="349"><year>2016</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>37521</median_earnings><earnings_gap_from_male>1226</earnings_gap_from_male><earnings_gap_from_male_percent>0.032</earnings_gap_from_male_percent></row>
<row _id="350"><year>2016</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36024</median_earnings><earnings_gap_from_male>2723</earnings_gap_from_male><earnings_gap_from_male_percent>0.07</earnings_gap_from_male_percent></row>
<row _id="351"><year>2016</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>38747</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="352"><year>2017</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>52720</median_earnings><earnings_gap_from_male>9028</earnings_gap_from_male><earnings_gap_from_male_percent>0.146</earnings_gap_from_male_percent></row>
<row _id="353"><year>2017</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>43842</median_earnings><earnings_gap_from_male>17906</earnings_gap_from_male><earnings_gap_from_male_percent>0.29</earnings_gap_from_male_percent></row>
<row _id="354"><year>2017</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>61748</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="355"><year>2017</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>52861</median_earnings><earnings_gap_from_male>10675</earnings_gap_from_male><earnings_gap_from_male_percent>0.168</earnings_gap_from_male_percent></row>
<row _id="356"><year>2017</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>43537</median_earnings><earnings_gap_from_male>19999</earnings_gap_from_male><earnings_gap_from_male_percent>0.315</earnings_gap_from_male_percent></row>
<row _id="357"><year>2017</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>63536</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="358"><year>2017</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>44915</median_earnings><earnings_gap_from_male>4876</earnings_gap_from_male><earnings_gap_from_male_percent>0.098</earnings_gap_from_male_percent></row>
<row _id="359"><year>2017</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>39001</median_earnings><earnings_gap_from_male>10790</earnings_gap_from_male><earnings_gap_from_male_percent>0.217</earnings_gap_from_male_percent></row>
<row _id="360"><year>2017</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>49791</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="361"><year>2017</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>54167</median_earnings><earnings_gap_from_male>11990</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="362"><year>2017</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>43217</median_earnings><earnings_gap_from_male>22940</earnings_gap_from_male><earnings_gap_from_male_percent>0.347</earnings_gap_from_male_percent></row>
<row _id="363"><year>2017</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>66157</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="364"><year>2017</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>48506</median_earnings><earnings_gap_from_male>7917</earnings_gap_from_male><earnings_gap_from_male_percent>0.14</earnings_gap_from_male_percent></row>
<row _id="365"><year>2017</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>40704</median_earnings><earnings_gap_from_male>15719</earnings_gap_from_male><earnings_gap_from_male_percent>0.279</earnings_gap_from_male_percent></row>
<row _id="366"><year>2017</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>56423</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="367"><year>2017</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>50046</median_earnings><earnings_gap_from_male>11685</earnings_gap_from_male><earnings_gap_from_male_percent>0.189</earnings_gap_from_male_percent></row>
<row _id="368"><year>2017</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>41582</median_earnings><earnings_gap_from_male>20149</earnings_gap_from_male><earnings_gap_from_male_percent>0.326</earnings_gap_from_male_percent></row>
<row _id="369"><year>2017</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>61731</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="370"><year>2017</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>48505</median_earnings><earnings_gap_from_male>7718</earnings_gap_from_male><earnings_gap_from_male_percent>0.137</earnings_gap_from_male_percent></row>
<row _id="371"><year>2017</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>37769</median_earnings><earnings_gap_from_male>18454</earnings_gap_from_male><earnings_gap_from_male_percent>0.328</earnings_gap_from_male_percent></row>
<row _id="372"><year>2017</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>56223</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="373"><year>2017</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>56030</median_earnings><earnings_gap_from_male>9939</earnings_gap_from_male><earnings_gap_from_male_percent>0.151</earnings_gap_from_male_percent></row>
<row _id="374"><year>2017</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>44907</median_earnings><earnings_gap_from_male>21062</earnings_gap_from_male><earnings_gap_from_male_percent>0.319</earnings_gap_from_male_percent></row>
<row _id="375"><year>2017</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>65969</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="376"><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="377"><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="378"><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="379"><year>2018</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>52798</median_earnings><earnings_gap_from_male>9160</earnings_gap_from_male><earnings_gap_from_male_percent>0.148</earnings_gap_from_male_percent></row>
<row _id="380"><year>2018</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>42820</median_earnings><earnings_gap_from_male>19138</earnings_gap_from_male><earnings_gap_from_male_percent>0.309</earnings_gap_from_male_percent></row>
<row _id="381"><year>2018</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>61958</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="382"><year>2018</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>53002</median_earnings><earnings_gap_from_male>8617</earnings_gap_from_male><earnings_gap_from_male_percent>0.14</earnings_gap_from_male_percent></row>
<row _id="383"><year>2018</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>44023</median_earnings><earnings_gap_from_male>17596</earnings_gap_from_male><earnings_gap_from_male_percent>0.286</earnings_gap_from_male_percent></row>
<row _id="384"><year>2018</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>61619</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="385"><year>2018</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>46074</median_earnings><earnings_gap_from_male>6679</earnings_gap_from_male><earnings_gap_from_male_percent>0.127</earnings_gap_from_male_percent></row>
<row _id="386"><year>2018</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>40679</median_earnings><earnings_gap_from_male>12074</earnings_gap_from_male><earnings_gap_from_male_percent>0.229</earnings_gap_from_male_percent></row>
<row _id="387"><year>2018</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>52753</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="388"><year>2018</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>57973</median_earnings><earnings_gap_from_male>12781</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="389"><year>2018</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>42964</median_earnings><earnings_gap_from_male>27790</earnings_gap_from_male><earnings_gap_from_male_percent>0.393</earnings_gap_from_male_percent></row>
<row _id="390"><year>2018</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>70754</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="391"><year>2018</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>47559</median_earnings><earnings_gap_from_male>6946</earnings_gap_from_male><earnings_gap_from_male_percent>0.127</earnings_gap_from_male_percent></row>
<row _id="392"><year>2018</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>40409</median_earnings><earnings_gap_from_male>14096</earnings_gap_from_male><earnings_gap_from_male_percent>0.259</earnings_gap_from_male_percent></row>
<row _id="393"><year>2018</year><county_id>42045</county_id><county_name>Delaware</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="394"><year>2018</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>49592</median_earnings><earnings_gap_from_male>10634</earnings_gap_from_male><earnings_gap_from_male_percent>0.177</earnings_gap_from_male_percent></row>
<row _id="395"><year>2018</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>41306</median_earnings><earnings_gap_from_male>18920</earnings_gap_from_male><earnings_gap_from_male_percent>0.314</earnings_gap_from_male_percent></row>
<row _id="396"><year>2018</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>60226</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="397"><year>2018</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>46983</median_earnings><earnings_gap_from_male>3757</earnings_gap_from_male><earnings_gap_from_male_percent>0.074</earnings_gap_from_male_percent></row>
<row _id="398"><year>2018</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>38530</median_earnings><earnings_gap_from_male>12210</earnings_gap_from_male><earnings_gap_from_male_percent>0.241</earnings_gap_from_male_percent></row>
<row _id="399"><year>2018</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>50740</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="400"><year>2018</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>55280</median_earnings><earnings_gap_from_male>9576</earnings_gap_from_male><earnings_gap_from_male_percent>0.148</earnings_gap_from_male_percent></row>
<row _id="401"><year>2018</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>47120</median_earnings><earnings_gap_from_male>17736</earnings_gap_from_male><earnings_gap_from_male_percent>0.273</earnings_gap_from_male_percent></row>
<row _id="402"><year>2018</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>64856</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="403"><year>2018</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>38053</median_earnings><earnings_gap_from_male>3902</earnings_gap_from_male><earnings_gap_from_male_percent>0.093</earnings_gap_from_male_percent></row>
<row _id="404"><year>2018</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>36233</median_earnings><earnings_gap_from_male>5722</earnings_gap_from_male><earnings_gap_from_male_percent>0.136</earnings_gap_from_male_percent></row>
<row _id="405"><year>2018</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>41955</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="406"><year>2019</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>55600</median_earnings><earnings_gap_from_male>9878</earnings_gap_from_male><earnings_gap_from_male_percent>0.151</earnings_gap_from_male_percent></row>
<row _id="407"><year>2019</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>44976</median_earnings><earnings_gap_from_male>20502</earnings_gap_from_male><earnings_gap_from_male_percent>0.313</earnings_gap_from_male_percent></row>
<row _id="408"><year>2019</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>65478</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="409"><year>2019</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55212</median_earnings><earnings_gap_from_male>6659</earnings_gap_from_male><earnings_gap_from_male_percent>0.108</earnings_gap_from_male_percent></row>
<row _id="410"><year>2019</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>47016</median_earnings><earnings_gap_from_male>14855</earnings_gap_from_male><earnings_gap_from_male_percent>0.24</earnings_gap_from_male_percent></row>
<row _id="411"><year>2019</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>61871</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="412"><year>2019</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>46893</median_earnings><earnings_gap_from_male>5842</earnings_gap_from_male><earnings_gap_from_male_percent>0.111</earnings_gap_from_male_percent></row>
<row _id="413"><year>2019</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>40951</median_earnings><earnings_gap_from_male>11784</earnings_gap_from_male><earnings_gap_from_male_percent>0.223</earnings_gap_from_male_percent></row>
<row _id="414"><year>2019</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>52735</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="415"><year>2019</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>58261</median_earnings><earnings_gap_from_male>12496</earnings_gap_from_male><earnings_gap_from_male_percent>0.177</earnings_gap_from_male_percent></row>
<row _id="416"><year>2019</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>45692</median_earnings><earnings_gap_from_male>25065</earnings_gap_from_male><earnings_gap_from_male_percent>0.354</earnings_gap_from_male_percent></row>
<row _id="417"><year>2019</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>70757</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="418"><year>2019</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>47045</median_earnings><earnings_gap_from_male>9921</earnings_gap_from_male><earnings_gap_from_male_percent>0.174</earnings_gap_from_male_percent></row>
<row _id="419"><year>2019</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>39312</median_earnings><earnings_gap_from_male>17654</earnings_gap_from_male><earnings_gap_from_male_percent>0.31</earnings_gap_from_male_percent></row>
<row _id="420"><year>2019</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>56966</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="421"><year>2019</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>52402</median_earnings><earnings_gap_from_male>11368</earnings_gap_from_male><earnings_gap_from_male_percent>0.178</earnings_gap_from_male_percent></row>
<row _id="422"><year>2019</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>41941</median_earnings><earnings_gap_from_male>21829</earnings_gap_from_male><earnings_gap_from_male_percent>0.342</earnings_gap_from_male_percent></row>
<row _id="423"><year>2019</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>63770</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="424"><year>2019</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>47295</median_earnings><earnings_gap_from_male>6823</earnings_gap_from_male><earnings_gap_from_male_percent>0.126</earnings_gap_from_male_percent></row>
<row _id="425"><year>2019</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>41863</median_earnings><earnings_gap_from_male>12255</earnings_gap_from_male><earnings_gap_from_male_percent>0.226</earnings_gap_from_male_percent></row>
<row _id="426"><year>2019</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>54118</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="427"><year>2019</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>57673</median_earnings><earnings_gap_from_male>8124</earnings_gap_from_male><earnings_gap_from_male_percent>0.123</earnings_gap_from_male_percent></row>
<row _id="428"><year>2019</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>48417</median_earnings><earnings_gap_from_male>17380</earnings_gap_from_male><earnings_gap_from_male_percent>0.264</earnings_gap_from_male_percent></row>
<row _id="429"><year>2019</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>65797</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="430"><year>2019</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>37151</median_earnings><earnings_gap_from_male>4335</earnings_gap_from_male><earnings_gap_from_male_percent>0.104</earnings_gap_from_male_percent></row>
<row _id="431"><year>2019</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>35137</median_earnings><earnings_gap_from_male>6349</earnings_gap_from_male><earnings_gap_from_male_percent>0.153</earnings_gap_from_male_percent></row>
<row _id="432"><year>2019</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>41486</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="433"><year>2021</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>55531</median_earnings><earnings_gap_from_male>11469</earnings_gap_from_male><earnings_gap_from_male_percent>0.171</earnings_gap_from_male_percent></row>
<row _id="434"><year>2021</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>44470</median_earnings><earnings_gap_from_male>22530</earnings_gap_from_male><earnings_gap_from_male_percent>0.336</earnings_gap_from_male_percent></row>
<row _id="435"><year>2021</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>67000</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="436"><year>2021</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>55205</median_earnings><earnings_gap_from_male>7823</earnings_gap_from_male><earnings_gap_from_male_percent>0.124</earnings_gap_from_male_percent></row>
<row _id="437"><year>2021</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>45866</median_earnings><earnings_gap_from_male>17162</earnings_gap_from_male><earnings_gap_from_male_percent>0.272</earnings_gap_from_male_percent></row>
<row _id="438"><year>2021</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>63028</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="439"><year>2021</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>47531</median_earnings><earnings_gap_from_male>7441</earnings_gap_from_male><earnings_gap_from_male_percent>0.135</earnings_gap_from_male_percent></row>
<row _id="440"><year>2021</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>41772</median_earnings><earnings_gap_from_male>13200</earnings_gap_from_male><earnings_gap_from_male_percent>0.24</earnings_gap_from_male_percent></row>
<row _id="441"><year>2021</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>54972</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="442"><year>2021</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>58626</median_earnings><earnings_gap_from_male>15548</earnings_gap_from_male><earnings_gap_from_male_percent>0.21</earnings_gap_from_male_percent></row>
<row _id="443"><year>2021</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>47942</median_earnings><earnings_gap_from_male>26232</earnings_gap_from_male><earnings_gap_from_male_percent>0.354</earnings_gap_from_male_percent></row>
<row _id="444"><year>2021</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>74174</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="445"><year>2021</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>48949</median_earnings><earnings_gap_from_male>6683</earnings_gap_from_male><earnings_gap_from_male_percent>0.12</earnings_gap_from_male_percent></row>
<row _id="446"><year>2021</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>42418</median_earnings><earnings_gap_from_male>13214</earnings_gap_from_male><earnings_gap_from_male_percent>0.238</earnings_gap_from_male_percent></row>
<row _id="447"><year>2021</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>55632</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="448"><year>2021</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>56196</median_earnings><earnings_gap_from_male>11200</earnings_gap_from_male><earnings_gap_from_male_percent>0.166</earnings_gap_from_male_percent></row>
<row _id="449"><year>2021</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>45837</median_earnings><earnings_gap_from_male>21559</earnings_gap_from_male><earnings_gap_from_male_percent>0.32</earnings_gap_from_male_percent></row>
<row _id="450"><year>2021</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>67396</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="451"><year>2021</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>48577</median_earnings><earnings_gap_from_male>6341</earnings_gap_from_male><earnings_gap_from_male_percent>0.115</earnings_gap_from_male_percent></row>
<row _id="452"><year>2021</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>44121</median_earnings><earnings_gap_from_male>10797</earnings_gap_from_male><earnings_gap_from_male_percent>0.197</earnings_gap_from_male_percent></row>
<row _id="453"><year>2021</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>54918</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="454"><year>2021</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>59223</median_earnings><earnings_gap_from_male>10569</earnings_gap_from_male><earnings_gap_from_male_percent>0.151</earnings_gap_from_male_percent></row>
<row _id="455"><year>2021</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>50190</median_earnings><earnings_gap_from_male>19602</earnings_gap_from_male><earnings_gap_from_male_percent>0.281</earnings_gap_from_male_percent></row>
<row _id="456"><year>2021</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>69792</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="457"><year>2021</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>42229</median_earnings><earnings_gap_from_male>2627</earnings_gap_from_male><earnings_gap_from_male_percent>0.059</earnings_gap_from_male_percent></row>
<row _id="458"><year>2021</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>39341</median_earnings><earnings_gap_from_male>5515</earnings_gap_from_male><earnings_gap_from_male_percent>0.123</earnings_gap_from_male_percent></row>
<row _id="459"><year>2021</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>44856</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="460"><year>2022</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>All</sex><median_earnings>55985</median_earnings><earnings_gap_from_male>12388</earnings_gap_from_male><earnings_gap_from_male_percent>0.181</earnings_gap_from_male_percent></row>
<row _id="461"><year>2022</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Female</sex><median_earnings>45187</median_earnings><earnings_gap_from_male>23186</earnings_gap_from_male><earnings_gap_from_male_percent>0.339</earnings_gap_from_male_percent></row>
<row _id="462"><year>2022</year><county_id>42017</county_id><county_name>Bucks</county_name><sex>Male</sex><median_earnings>68373</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="463"><year>2022</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>All</sex><median_earnings>53033</median_earnings><earnings_gap_from_male>7247</earnings_gap_from_male><earnings_gap_from_male_percent>0.12</earnings_gap_from_male_percent></row>
<row _id="464"><year>2022</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Female</sex><median_earnings>46318</median_earnings><earnings_gap_from_male>13962</earnings_gap_from_male><earnings_gap_from_male_percent>0.232</earnings_gap_from_male_percent></row>
<row _id="465"><year>2022</year><county_id>34005</county_id><county_name>Burlington</county_name><sex>Male</sex><median_earnings>60280</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="466"><year>2022</year><county_id>34007</county_id><county_name>Camden</county_name><sex>All</sex><median_earnings>47255</median_earnings><earnings_gap_from_male>5730</earnings_gap_from_male><earnings_gap_from_male_percent>0.108</earnings_gap_from_male_percent></row>
<row _id="467"><year>2022</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Female</sex><median_earnings>41493</median_earnings><earnings_gap_from_male>11492</earnings_gap_from_male><earnings_gap_from_male_percent>0.217</earnings_gap_from_male_percent></row>
<row _id="468"><year>2022</year><county_id>34007</county_id><county_name>Camden</county_name><sex>Male</sex><median_earnings>52985</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="469"><year>2022</year><county_id>42029</county_id><county_name>Chester</county_name><sex>All</sex><median_earnings>59861</median_earnings><earnings_gap_from_male>13128</earnings_gap_from_male><earnings_gap_from_male_percent>0.18</earnings_gap_from_male_percent></row>
<row _id="470"><year>2022</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Female</sex><median_earnings>44585</median_earnings><earnings_gap_from_male>28404</earnings_gap_from_male><earnings_gap_from_male_percent>0.389</earnings_gap_from_male_percent></row>
<row _id="471"><year>2022</year><county_id>42029</county_id><county_name>Chester</county_name><sex>Male</sex><median_earnings>72989</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="472"><year>2022</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>All</sex><median_earnings>47634</median_earnings><earnings_gap_from_male>6088</earnings_gap_from_male><earnings_gap_from_male_percent>0.113</earnings_gap_from_male_percent></row>
<row _id="473"><year>2022</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Female</sex><median_earnings>40747</median_earnings><earnings_gap_from_male>12975</earnings_gap_from_male><earnings_gap_from_male_percent>0.242</earnings_gap_from_male_percent></row>
<row _id="474"><year>2022</year><county_id>42045</county_id><county_name>Delaware</county_name><sex>Male</sex><median_earnings>53722</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="475"><year>2022</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>All</sex><median_earnings>52921</median_earnings><earnings_gap_from_male>7487</earnings_gap_from_male><earnings_gap_from_male_percent>0.124</earnings_gap_from_male_percent></row>
<row _id="476"><year>2022</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Female</sex><median_earnings>44919</median_earnings><earnings_gap_from_male>15489</earnings_gap_from_male><earnings_gap_from_male_percent>0.256</earnings_gap_from_male_percent></row>
<row _id="477"><year>2022</year><county_id>34015</county_id><county_name>Gloucester</county_name><sex>Male</sex><median_earnings>60408</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="478"><year>2022</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>All</sex><median_earnings>49952</median_earnings><earnings_gap_from_male>6179</earnings_gap_from_male><earnings_gap_from_male_percent>0.11</earnings_gap_from_male_percent></row>
<row _id="479"><year>2022</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Female</sex><median_earnings>41544</median_earnings><earnings_gap_from_male>14587</earnings_gap_from_male><earnings_gap_from_male_percent>0.26</earnings_gap_from_male_percent></row>
<row _id="480"><year>2022</year><county_id>34021</county_id><county_name>Mercer</county_name><sex>Male</sex><median_earnings>56131</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="481"><year>2022</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>All</sex><median_earnings>57489</median_earnings><earnings_gap_from_male>10293</earnings_gap_from_male><earnings_gap_from_male_percent>0.152</earnings_gap_from_male_percent></row>
<row _id="482"><year>2022</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Female</sex><median_earnings>48258</median_earnings><earnings_gap_from_male>19524</earnings_gap_from_male><earnings_gap_from_male_percent>0.288</earnings_gap_from_male_percent></row>
<row _id="483"><year>2022</year><county_id>42091</county_id><county_name>Montgomery</county_name><sex>Male</sex><median_earnings>67782</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="484"><year>2022</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>All</sex><median_earnings>40734</median_earnings><earnings_gap_from_male>2445</earnings_gap_from_male><earnings_gap_from_male_percent>0.057</earnings_gap_from_male_percent></row>
<row _id="485"><year>2022</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Female</sex><median_earnings>37976</median_earnings><earnings_gap_from_male>5203</earnings_gap_from_male><earnings_gap_from_male_percent>0.12</earnings_gap_from_male_percent></row>
<row _id="486"><year>2022</year><county_id>42101</county_id><county_name>Philadelphia</county_name><sex>Male</sex><median_earnings>43179</median_earnings><earnings_gap_from_male>0</earnings_gap_from_male><earnings_gap_from_male_percent>0.0</earnings_gap_from_male_percent></row>
</data>
