<data>
<row _id="1"><Age group (Years) /><Male>thousands</Male><Female xsi:nil="true" /><Total /></row>
<row _id="2"><Age group (Years)>Nepal</Age group (Years)><Male>9208.0</Male><Female>0537-11-18T00:00:00</Female><Total>20 744</Total></row>
<row _id="3"><Age group (Years)>15-24</Age group (Years)><Male>2535</Male><Female>3120-07-18T00:00:00</Female><Total>5 654</Total></row>
<row _id="4"><Age group (Years)>25-34</Age group (Years)><Male>1714</Male><Female>2475-07-18T00:00:00</Female><Total>4189</Total></row>
<row _id="5"><Age group (Years)>35-44</Age group (Years)><Male>1500</Male><Female>2062-07-18T00:00:00</Female><Total>3 562</Total></row>
<row _id="6"><Age group (Years)>45-54</Age group (Years)><Male>1375</Male><Female>1534-07-18T00:00:00</Female><Total>2 908</Total></row>
<row _id="7"><Age group (Years)>55-64</Age group (Years)><Male>1064</Male><Female>0236-01-18T00:00:00</Female><Total>2300</Total></row>
<row _id="8"><Age group (Years)>65+</Age group (Years)><Male>1021</Male><Female>1110-07-18T00:00:00</Female><Total>2131</Total></row>
<row _id="9"><Age group (Years)>Urban</Age group (Years)><Male>5950</Male><Female>0342-07-18T00:00:00</Female><Total>13 293</Total></row>
<row _id="10"><Age group (Years)>15-24</Age group (Years)><Male>1700</Male><Female>2017-07-18T00:00:00</Female><Total>3718</Total></row>
<row _id="11"><Age group (Years)>25-34</Age group (Years)><Male>1 155</Male><Female>0667-01-18T00:00:00</Female><Total>2821</Total></row>
<row _id="12"><Age group (Years)>35-44</Age group (Years)><Male>979</Male><Female>1319-07-18T00:00:00</Female><Total>2297</Total></row>
<row _id="13"><Age group (Years)>45-54</Age group (Years)><Male>887</Male><Female>0973-07-18T00:00:00</Female><Total>1860</Total></row>
<row _id="14"><Age group (Years)>55-64</Age group (Years)><Male>631</Male><Female>0720-07-18T00:00:00</Female><Total>1 351</Total></row>
<row _id="15"><Age group (Years)>65+</Age group (Years)><Male>599</Male><Female>0646-07-18T00:00:00</Female><Total>1246</Total></row>
<row _id="16"><Age group (Years)>Rural</Age group (Years)><Male>3258</Male><Female>4194-07-18T00:00:00</Female><Total>7 452</Total></row>
<row _id="17"><Age group (Years)>15-24</Age group (Years)><Male>834</Male><Female>0102-01-18T00:00:00</Female><Total>1936</Total></row>
<row _id="18"><Age group (Years)>25-34</Age group (Years)><Male>559</Male><Female>0808-07-18T00:00:00</Female><Total>1 368</Total></row>
<row _id="19"><Age group (Years)>35-44</Age group (Years)><Male>521</Male><Female>0744-07-18T00:00:00</Female><Total>1 265</Total></row>
<row _id="20"><Age group (Years)>45-54</Age group (Years)><Male>488</Male><Female>0560-07-18T00:00:00</Female><Total>1049</Total></row>
<row _id="21"><Age group (Years)>55-64</Age group (Years)><Male>433</Male><Female>0516-07-18T00:00:00</Female><Total>949</Total></row>
<row _id="22"><Age group (Years)>65+</Age group (Years)><Male>422</Male><Female>0463-07-18T00:00:00</Female><Total>885</Total></row>
</data>
