<data>
<row _id="1"><Province>Nepal</Province><1 worker>35.69</1 worker><2-9 worker>49.46</2-9 worker><10 + workers>14.85</10 + workers><Total>100</Total></row>
<row _id="2"><Province>Koshi</Province><1 worker>42.49</1 worker><2-9 worker>43.79</2-9 worker><10 + workers>13.72</10 + workers><Total>100</Total></row>
<row _id="3"><Province>Madhesh</Province><1 worker>38.4</1 worker><2-9 worker>42.93</2-9 worker><10 + workers>18.67</10 + workers><Total>100</Total></row>
<row _id="4"><Province>Bagmati</Province><1 worker>29.27</1 worker><2-9 worker>50.84</2-9 worker><10 + workers>19.89</10 + workers><Total>100</Total></row>
<row _id="5"><Province>Gandaki</Province><1 worker>40.12</1 worker><2-9 worker>55.78</2-9 worker><10 + workers>4.1</10 + workers><Total>100</Total></row>
<row _id="6"><Province>Lumbini</Province><1 worker>37.38</1 worker><2-9 worker>53.66</2-9 worker><10 + workers>8.96</10 + workers><Total>100</Total></row>
<row _id="7"><Province>Karnali</Province><1 worker>29.41</1 worker><2-9 worker>70.59</2-9 worker><10 + workers>0</10 + workers><Total>100</Total></row>
<row _id="8"><Province>Sudurpashchim</Province><1 worker>44.78</1 worker><2-9 worker>49.01</2-9 worker><10 + workers>6.21</10 + workers><Total>100</Total></row>
</data>
