<data>
<row _id="1"><Province/Area>Pakistan</Province/Area><Total Unemployed 2014-15>3.62</Total Unemployed 2014-15><Male Unemployed 2014-15>2.31</Male Unemployed 2014-15><Female Unemployed 2014-15>1.31</Female Unemployed 2014-15><Total Unemployed 2017-18>3.79</Total Unemployed 2017-18><Male Unemployed 2017-18>2.57</Male Unemployed 2017-18><Female Unemployed 2017-18>1.22</Female Unemployed 2017-18></row>
<row _id="2"><Province/Area>Rural</Province/Area><Total Unemployed 2014-15>2.1</Total Unemployed 2014-15><Male Unemployed 2014-15>1.28</Male Unemployed 2014-15><Female Unemployed 2014-15>0.82</Female Unemployed 2014-15><Total Unemployed 2017-18>2.15</Total Unemployed 2017-18><Male Unemployed 2017-18>1.47</Male Unemployed 2017-18><Female Unemployed 2017-18>0.68</Female Unemployed 2017-18></row>
<row _id="3"><Province/Area>Urban</Province/Area><Total Unemployed 2014-15>1.52</Total Unemployed 2014-15><Male Unemployed 2014-15>1.03</Male Unemployed 2014-15><Female Unemployed 2014-15>0.49</Female Unemployed 2014-15><Total Unemployed 2017-18>1.64</Total Unemployed 2017-18><Male Unemployed 2017-18>1.1</Male Unemployed 2017-18><Female Unemployed 2017-18>0.54</Female Unemployed 2017-18></row>
<row _id="4"><Province/Area>Punjab</Province/Area><Total Unemployed 2014-15>2.32</Total Unemployed 2014-15><Male Unemployed 2014-15>1.49</Male Unemployed 2014-15><Female Unemployed 2014-15>0.83</Female Unemployed 2014-15><Total Unemployed 2017-18>2.39</Total Unemployed 2017-18><Male Unemployed 2017-18>1.55</Male Unemployed 2017-18><Female Unemployed 2017-18>0.84</Female Unemployed 2017-18></row>
<row _id="5"><Province/Area>Rural</Province/Area><Total Unemployed 2014-15>1.43</Total Unemployed 2014-15><Male Unemployed 2014-15>0.89</Male Unemployed 2014-15><Female Unemployed 2014-15>0.54</Female Unemployed 2014-15><Total Unemployed 2017-18>1.45</Total Unemployed 2017-18><Male Unemployed 2017-18>0.93</Male Unemployed 2017-18><Female Unemployed 2017-18>0.52</Female Unemployed 2017-18></row>
<row _id="6"><Province/Area>Urban</Province/Area><Total Unemployed 2014-15>0.89</Total Unemployed 2014-15><Male Unemployed 2014-15>0.6</Male Unemployed 2014-15><Female Unemployed 2014-15>0.29</Female Unemployed 2014-15><Total Unemployed 2017-18>0.94</Total Unemployed 2017-18><Male Unemployed 2017-18>0.62</Male Unemployed 2017-18><Female Unemployed 2017-18>0.32</Female Unemployed 2017-18></row>
<row _id="7"><Province/Area>Sindh</Province/Area><Total Unemployed 2014-15>0.66</Total Unemployed 2014-15><Male Unemployed 2014-15>0.43</Male Unemployed 2014-15><Female Unemployed 2014-15>0.23</Female Unemployed 2014-15><Total Unemployed 2017-18>0.75</Total Unemployed 2017-18><Male Unemployed 2017-18>0.52</Male Unemployed 2017-18><Female Unemployed 2017-18>0.23</Female Unemployed 2017-18></row>
<row _id="8"><Province/Area>Rural</Province/Area><Total Unemployed 2014-15>0.2</Total Unemployed 2014-15><Male Unemployed 2014-15>0.11</Male Unemployed 2014-15><Female Unemployed 2014-15>0.09</Female Unemployed 2014-15><Total Unemployed 2017-18>0.21</Total Unemployed 2017-18><Male Unemployed 2017-18>0.15</Male Unemployed 2017-18><Female Unemployed 2017-18>0.06</Female Unemployed 2017-18></row>
<row _id="9"><Province/Area>Urban</Province/Area><Total Unemployed 2014-15>0.46</Total Unemployed 2014-15><Male Unemployed 2014-15>0.32</Male Unemployed 2014-15><Female Unemployed 2014-15>0.14</Female Unemployed 2014-15><Total Unemployed 2017-18>0.54</Total Unemployed 2017-18><Male Unemployed 2017-18>0.37</Male Unemployed 2017-18><Female Unemployed 2017-18>0.17</Female Unemployed 2017-18></row>
<row _id="10"><Province/Area>KP</Province/Area><Total Unemployed 2014-15>0.51</Total Unemployed 2014-15><Male Unemployed 2014-15>0.31</Male Unemployed 2014-15><Female Unemployed 2014-15>0.2</Female Unemployed 2014-15><Total Unemployed 2017-18>0.55</Total Unemployed 2017-18><Male Unemployed 2017-18>0.44</Male Unemployed 2017-18><Female Unemployed 2017-18>0.11</Female Unemployed 2017-18></row>
<row _id="11"><Province/Area>Rural</Province/Area><Total Unemployed 2014-15>0.39</Total Unemployed 2014-15><Male Unemployed 2014-15>0.23</Male Unemployed 2014-15><Female Unemployed 2014-15>0.16</Female Unemployed 2014-15><Total Unemployed 2017-18>0.43</Total Unemployed 2017-18><Male Unemployed 2017-18>0.35</Male Unemployed 2017-18><Female Unemployed 2017-18>0.08</Female Unemployed 2017-18></row>
<row _id="12"><Province/Area>Urban</Province/Area><Total Unemployed 2014-15>0.12</Total Unemployed 2014-15><Male Unemployed 2014-15>0.08</Male Unemployed 2014-15><Female Unemployed 2014-15>0.04</Female Unemployed 2014-15><Total Unemployed 2017-18>0.12</Total Unemployed 2017-18><Male Unemployed 2017-18>0.09</Male Unemployed 2017-18><Female Unemployed 2017-18>0.03</Female Unemployed 2017-18></row>
<row _id="13"><Province/Area>Balochistan</Province/Area><Total Unemployed 2014-15>0.13</Total Unemployed 2014-15><Male Unemployed 2014-15>0.08</Male Unemployed 2014-15><Female Unemployed 2014-15>0.05</Female Unemployed 2014-15><Total Unemployed 2017-18>0.11</Total Unemployed 2017-18><Male Unemployed 2017-18>0.07</Male Unemployed 2017-18><Female Unemployed 2017-18>0.04</Female Unemployed 2017-18></row>
<row _id="14"><Province/Area>Rural</Province/Area><Total Unemployed 2014-15>0.08</Total Unemployed 2014-15><Male Unemployed 2014-15>0.05</Male Unemployed 2014-15><Female Unemployed 2014-15>0.03</Female Unemployed 2014-15><Total Unemployed 2017-18>0.07</Total Unemployed 2017-18><Male Unemployed 2017-18>0.05</Male Unemployed 2017-18><Female Unemployed 2017-18>0.02</Female Unemployed 2017-18></row>
<row _id="15"><Province/Area>Urban</Province/Area><Total Unemployed 2014-15>0.05</Total Unemployed 2014-15><Male Unemployed 2014-15>0.03</Male Unemployed 2014-15><Female Unemployed 2014-15>0.02</Female Unemployed 2014-15><Total Unemployed 2017-18>0.04</Total Unemployed 2017-18><Male Unemployed 2017-18>0.02</Male Unemployed 2017-18><Female Unemployed 2017-18>0.02</Female Unemployed 2017-18></row>
</data>
