<?xml version="1.0" encoding="UTF-8"?>
<popvalues MaxValue="70" unit="m/s" >
<!-- wind10m: _ (HWRF)  -->
<!-- /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif  -->
<!-- GHSL 30ss JRC, time: 14 May 2023 - 12:27:02 UTC  -->
<!-- Vmax average 1-min  -->
	<class>
		<value><![CDATA[wind10m>17 and <=33]]></value>
		<ListCountries>Myanmar, India, Bangladesh</ListCountries>
		<category>TS</category>
		<popValue>8670784</popValue>
		<CoeffValue>313</CoeffValue>
		<countriesPop totClass="0">
			<country name="Myanmar" iso3="MMR">7064817</country>
			<country name="India" iso3="IND">4425</country>
			<country name="Bangladesh" iso3="BGD">1601541</country>
		</countriesPop>
		<countriesCoeff>
			<country name="Myanmar" iso3="MMR">248</country>
			<country name="India" iso3="IND">0</country>
			<country name="Bangladesh" iso3="BGD">64</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[wind10m>33 and <=43]]></value>
		<ListCountries>Myanmar</ListCountries>
		<category>CAT. 1</category>
		<popValue>478185</popValue>
		<CoeffValue>267</CoeffValue>
		<countriesPop totClass="0">
			<country name="Myanmar" iso3="MMR">478185</country>
			<country name="India" iso3="IND">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
		</countriesPop>
		<countriesCoeff>
			<country name="Myanmar" iso3="MMR">267</country>
			<country name="India" iso3="IND">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[wind10m>43 and <=50]]></value>
		<ListCountries>Myanmar</ListCountries>
		<category>CAT. 2</category>
		<popValue>209897</popValue>
		<CoeffValue>266</CoeffValue>
		<countriesPop totClass="0">
			<country name="Myanmar" iso3="MMR">209897</country>
			<country name="India" iso3="IND">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
		</countriesPop>
		<countriesCoeff>
			<country name="Myanmar" iso3="MMR">266</country>
			<country name="India" iso3="IND">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[wind10m>50 and <=58]]></value>
		<ListCountries>Myanmar</ListCountries>
		<category>CAT. 3</category>
		<popValue>238808</popValue>
		<CoeffValue>890</CoeffValue>
		<countriesPop totClass="0">
			<country name="Myanmar" iso3="MMR">238808</country>
			<country name="India" iso3="IND">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
		</countriesPop>
		<countriesCoeff>
			<country name="Myanmar" iso3="MMR">890</country>
			<country name="India" iso3="IND">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[wind10m>58 and <=70]]></value>
		<ListCountries>Myanmar</ListCountries>
		<category>CAT. 4</category>
		<popValue>69640</popValue>
		<CoeffValue>494</CoeffValue>
		<countriesPop totClass="0">
			<country name="Myanmar" iso3="MMR">69640</country>
			<country name="India" iso3="IND">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
		</countriesPop>
		<countriesCoeff>
			<country name="Myanmar" iso3="MMR">494</country>
			<country name="India" iso3="IND">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[wind10m>70 and <=1000]]></value>
		<ListCountries></ListCountries>
		<category>CAT. 5</category>
		<popValue>0</popValue>
		<CoeffValue>0</CoeffValue>
	</class>
</popvalues>