<data>
<row _id="1"><Consumption Quintiles>Poorest</Consumption Quintiles><Non-Agriculture  HHs>26.1</Non-Agriculture  HHs><Agriculture HHs Livestock only>3.6</Agriculture HHs Livestock only><Agriculture HHs Land only>19.9</Agriculture HHs Land only><Agriculture HHs having Both>50.4</Agriculture HHs having Both><Total>100.0</Total></row>
<row _id="2"><Consumption Quintiles>Second</Consumption Quintiles><Non-Agriculture  HHs>29.0</Non-Agriculture  HHs><Agriculture HHs Livestock only>3.8</Agriculture HHs Livestock only><Agriculture HHs Land only>19.8</Agriculture HHs Land only><Agriculture HHs having Both>47.4</Agriculture HHs having Both><Total>100.0</Total></row>
<row _id="3"><Consumption Quintiles>Third</Consumption Quintiles><Non-Agriculture  HHs>35.9</Non-Agriculture  HHs><Agriculture HHs Livestock only>4.4</Agriculture HHs Livestock only><Agriculture HHs Land only>16.8</Agriculture HHs Land only><Agriculture HHs having Both>42.8</Agriculture HHs having Both><Total>100.0</Total></row>
<row _id="4"><Consumption Quintiles>Fourth</Consumption Quintiles><Non-Agriculture  HHs>41.9</Non-Agriculture  HHs><Agriculture HHs Livestock only>5.3</Agriculture HHs Livestock only><Agriculture HHs Land only>15.4</Agriculture HHs Land only><Agriculture HHs having Both>37.4</Agriculture HHs having Both><Total>100.0</Total></row>
<row _id="5"><Consumption Quintiles>Richest</Consumption Quintiles><Non-Agriculture  HHs>57.8</Non-Agriculture  HHs><Agriculture HHs Livestock only>3.5</Agriculture HHs Livestock only><Agriculture HHs Land only>15.9</Agriculture HHs Land only><Agriculture HHs having Both>22.8</Agriculture HHs having Both><Total>100.0</Total></row>
</data>
