<data>
<row _id="1"><Province/Area>Pakistan</Province/Area><Total Employed 2014-15>57.42</Total Employed 2014-15><Male Employed 2014-15>44.07</Male Employed 2014-15><Female Employed 2014-15>13.35</Female Employed 2014-15><Total Employed 2017-18>61.71</Total Employed 2017-18><Male Employed 2017-18>48.17</Male Employed 2017-18><Female Employed 2017-18>13.54</Female Employed 2017-18></row>
<row _id="2"><Province/Area>Rural</Province/Area><Total Employed 2014-15>39.85</Total Employed 2014-15><Male Employed 2014-15>28.42</Male Employed 2014-15><Female Employed 2014-15>11.43</Female Employed 2014-15><Total Employed 2017-18>40.75</Total Employed 2017-18><Male Employed 2017-18>29.73</Male Employed 2017-18><Female Employed 2017-18>11.02</Female Employed 2017-18></row>
<row _id="3"><Province/Area>Urban</Province/Area><Total Employed 2014-15>17.57</Total Employed 2014-15><Male Employed 2014-15>15.65</Male Employed 2014-15><Female Employed 2014-15>1.92</Female Employed 2014-15><Total Employed 2017-18>20.96</Total Employed 2017-18><Male Employed 2017-18>18.44</Male Employed 2017-18><Female Employed 2017-18>2.52</Female Employed 2017-18></row>
<row _id="4"><Province/Area>Punjab</Province/Area><Total Employed 2014-15>34.6</Total Employed 2014-15><Male Employed 2014-15>24.79</Male Employed 2014-15><Female Employed 2014-15>9.81</Female Employed 2014-15><Total Employed 2017-18>37.6</Total Employed 2017-18><Male Employed 2017-18>27.2</Male Employed 2017-18><Female Employed 2017-18>10.4</Female Employed 2017-18></row>
<row _id="5"><Province/Area>Rural</Province/Area><Total Employed 2014-15>24.82</Total Employed 2014-15><Male Employed 2014-15>16.4</Male Employed 2014-15><Female Employed 2014-15>8.42</Female Employed 2014-15><Total Employed 2017-18>25.37</Total Employed 2017-18><Male Employed 2017-18>16.81</Male Employed 2017-18><Female Employed 2017-18>8.56</Female Employed 2017-18></row>
<row _id="6"><Province/Area>Urban</Province/Area><Total Employed 2014-15>9.78</Total Employed 2014-15><Male Employed 2014-15>8.39</Male Employed 2014-15><Female Employed 2014-15>1.39</Female Employed 2014-15><Total Employed 2017-18>12.23</Total Employed 2017-18><Male Employed 2017-18>10.39</Male Employed 2017-18><Female Employed 2017-18>1.84</Female Employed 2017-18></row>
<row _id="7"><Province/Area>Sindh</Province/Area><Total Employed 2014-15>13.65</Total Employed 2014-15><Male Employed 2014-15>11.76</Male Employed 2014-15><Female Employed 2014-15>1.89</Female Employed 2014-15><Total Employed 2017-18>14.44</Total Employed 2017-18><Male Employed 2017-18>12.65</Male Employed 2017-18><Female Employed 2017-18>1.79</Female Employed 2017-18></row>
<row _id="8"><Province/Area>Rural</Province/Area><Total Employed 2014-15>7.63</Total Employed 2014-15><Male Employed 2014-15>6.11</Male Employed 2014-15><Female Employed 2014-15>1.52</Female Employed 2014-15><Total Employed 2017-18>7.63</Total Employed 2017-18><Male Employed 2017-18>6.36</Male Employed 2017-18><Female Employed 2017-18>1.27</Female Employed 2017-18></row>
<row _id="9"><Province/Area>Urban</Province/Area><Total Employed 2014-15>6.02</Total Employed 2014-15><Male Employed 2014-15>5.65</Male Employed 2014-15><Female Employed 2014-15>0.37</Female Employed 2014-15><Total Employed 2017-18>6.81</Total Employed 2017-18><Male Employed 2017-18>6.29</Male Employed 2017-18><Female Employed 2017-18>0.52</Female Employed 2017-18></row>
<row _id="10"><Province/Area>KP</Province/Area><Total Employed 2014-15>6.09</Total Employed 2014-15><Male Employed 2014-15>5.0</Male Employed 2014-15><Female Employed 2014-15>1.09</Female Employed 2014-15><Total Employed 2017-18>7.17</Total Employed 2017-18><Male Employed 2017-18>6.01</Male Employed 2017-18><Female Employed 2017-18>1.16</Female Employed 2017-18></row>
<row _id="11"><Province/Area>Rural</Province/Area><Total Employed 2014-15>5.01</Total Employed 2014-15><Male Employed 2014-15>4.03</Male Employed 2014-15><Female Employed 2014-15>0.98</Female Employed 2014-15><Total Employed 2017-18>5.86</Total Employed 2017-18><Male Employed 2017-18>4.83</Male Employed 2017-18><Female Employed 2017-18>1.03</Female Employed 2017-18></row>
<row _id="12"><Province/Area>Urban</Province/Area><Total Employed 2014-15>1.08</Total Employed 2014-15><Male Employed 2014-15>0.97</Male Employed 2014-15><Female Employed 2014-15>0.11</Female Employed 2014-15><Total Employed 2017-18>1.31</Total Employed 2017-18><Male Employed 2017-18>1.18</Male Employed 2017-18><Female Employed 2017-18>0.13</Female Employed 2017-18></row>
<row _id="13"><Province/Area>Balochistan</Province/Area><Total Employed 2014-15>3.08</Total Employed 2014-15><Male Employed 2014-15>2.52</Male Employed 2014-15><Female Employed 2014-15>0.56</Female Employed 2014-15><Total Employed 2017-18>2.51</Total Employed 2017-18><Male Employed 2017-18>2.31</Male Employed 2017-18><Female Employed 2017-18>0.2</Female Employed 2017-18></row>
<row _id="14"><Province/Area>Rural</Province/Area><Total Employed 2014-15>2.39</Total Employed 2014-15><Male Employed 2014-15>1.88</Male Employed 2014-15><Female Employed 2014-15>0.51</Female Employed 2014-15><Total Employed 2017-18>1.89</Total Employed 2017-18><Male Employed 2017-18>1.73</Male Employed 2017-18><Female Employed 2017-18>0.16</Female Employed 2017-18></row>
<row _id="15"><Province/Area>Urban</Province/Area><Total Employed 2014-15>0.69</Total Employed 2014-15><Male Employed 2014-15>0.64</Male Employed 2014-15><Female Employed 2014-15>0.05</Female Employed 2014-15><Total Employed 2017-18>0.62</Total Employed 2017-18><Male Employed 2017-18>0.58</Male Employed 2017-18><Female Employed 2017-18>0.04</Female Employed 2017-18></row>
</data>
