<?xml version="1.0" encoding="UTF-8"?>
<popvalues MaxValue="4.98" unit="m" >
<!-- ssurge: _ (GFS)  -->
<!-- /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2025_GLOBE_R2023A_4326_30ss_V1_0_hmax5m_2km.tif  -->
<!-- GHSL 30ss JRC (<5m, 2km), time: 03 July 2026 - 07:46:14 UTC  -->
	<class>
		<value><![CDATA[ssurge>0.25 and <=0.5]]></value>
		<ListCountries>China, North Korea, South Korea, Japan, Hong Kong, Bangladesh, Macao, Vietnam, Myanmar, Philippines, Thailand, India, Cambodia, Malaysia, Indonesia</ListCountries>
		<category>0.25-0.5 m</category>
		<popValue>6023271</popValue>
		<CoeffValue>2009</CoeffValue>
		<countriesPop totClass="0">
			<country name="China" iso3="CHN">2755205</country>
			<country name="North Korea" iso3="PRK">201627</country>
			<country name="Other countries" iso3="">51664</country>
			<country name="South Korea" iso3="KOR">393686</country>
			<country name="Japan" iso3="JPN">24005</country>
			<country name="Taiwan" iso3="TWN">0</country>
			<country name="Hong Kong" iso3="HKG">398</country>
			<country name="Macao" iso3="MAC">59041</country>
			<country name="Bangladesh" iso3="BGD">304725</country>
			<country name="Vietnam" iso3="VNM">849456</country>
			<country name="Myanmar" iso3="MMR">25206</country>
			<country name="Philippines" iso3="PHL">103635</country>
			<country name="Thailand" iso3="THA">1201936</country>
			<country name="India" iso3="IND">6268</country>
			<country name="Cambodia" iso3="KHM">14830</country>
			<country name="Malaysia" iso3="MYS">27750</country>
			<country name="Indonesia" iso3="IDN">3829</country>
		</countriesPop>
		<countriesCoeff>
			<country name="China" iso3="CHN">998</country>
			<country name="North Korea" iso3="PRK">64</country>
			<country name="Other countries" iso3="">17</country>
			<country name="South Korea" iso3="KOR">104</country>
			<country name="Japan" iso3="JPN">9</country>
			<country name="Taiwan" iso3="TWN">0</country>
			<country name="Hong Kong" iso3="HKG">0</country>
			<country name="Macao" iso3="MAC">15</country>
			<country name="Bangladesh" iso3="BGD">98</country>
			<country name="Vietnam" iso3="VNM">328</country>
			<country name="Myanmar" iso3="MMR">9</country>
			<country name="Philippines" iso3="PHL">33</country>
			<country name="Thailand" iso3="THA">312</country>
			<country name="India" iso3="IND">3</country>
			<country name="Cambodia" iso3="KHM">3</country>
			<country name="Malaysia" iso3="MYS">9</country>
			<country name="Indonesia" iso3="IDN">1</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[ssurge>0.5 and <=1]]></value>
		<ListCountries>China, North Korea, South Korea, Japan, Taiwan, Hong Kong, Macao, Vietnam, Myanmar, Philippines, Thailand, India, Cambodia, Malaysia, Indonesia</ListCountries>
		<category>0.5-1.0 m</category>
		<popValue>3266895</popValue>
		<CoeffValue>2554</CoeffValue>
		<countriesPop totClass="0">
			<country name="China" iso3="CHN">2161672</country>
			<country name="North Korea" iso3="PRK">6634</country>
			<country name="Other countries" iso3="">118911</country>
			<country name="South Korea" iso3="KOR">15549</country>
			<country name="Japan" iso3="JPN">52053</country>
			<country name="Taiwan" iso3="TWN">2457</country>
			<country name="Hong Kong" iso3="HKG">1881</country>
			<country name="Macao" iso3="MAC">139418</country>
			<country name="Bangladesh" iso3="BGD">0</country>
			<country name="Vietnam" iso3="VNM">391491</country>
			<country name="Myanmar" iso3="MMR">29610</country>
			<country name="Philippines" iso3="PHL">129051</country>
			<country name="Thailand" iso3="THA">79556</country>
			<country name="India" iso3="IND">8854</country>
			<country name="Cambodia" iso3="KHM">139</country>
			<country name="Malaysia" iso3="MYS">73395</country>
			<country name="Indonesia" iso3="IDN">56216</country>
		</countriesPop>
		<countriesCoeff>
			<country name="China" iso3="CHN">1662</country>
			<country name="North Korea" iso3="PRK">5</country>
			<country name="Other countries" iso3="">104</country>
			<country name="South Korea" iso3="KOR">10</country>
			<country name="Japan" iso3="JPN">36</country>
			<country name="Taiwan" iso3="TWN">2</country>
			<country name="Hong Kong" iso3="HKG">1</country>
			<country name="Macao" iso3="MAC">113</country>
			<country name="Bangladesh" iso3="BGD">0</country>
			<country name="Vietnam" iso3="VNM">302</country>
			<country name="Myanmar" iso3="MMR">24</country>
			<country name="Philippines" iso3="PHL">98</country>
			<country name="Thailand" iso3="THA">78</country>
			<country name="India" iso3="IND">6</country>
			<country name="Cambodia" iso3="KHM">0</country>
			<country name="Malaysia" iso3="MYS">53</country>
			<country name="Indonesia" iso3="IDN">52</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[ssurge>1 and <=2]]></value>
		<ListCountries>China, North Korea, South Korea, Japan, Taiwan, Macao, Vietnam, Myanmar, Philippines, Thailand, India, Cambodia, Malaysia, Indonesia</ListCountries>
		<category>1.0-2.0 m</category>
		<popValue>3631784</popValue>
		<CoeffValue>5379</CoeffValue>
		<countriesPop totClass="0">
			<country name="China" iso3="CHN">1820947</country>
			<country name="North Korea" iso3="PRK">41055</country>
			<country name="Other countries" iso3="">22821</country>
			<country name="South Korea" iso3="KOR">14516</country>
			<country name="Japan" iso3="JPN">82802</country>
			<country name="Taiwan" iso3="TWN">1037</country>
			<country name="Hong Kong" iso3="HKG">0</country>
			<country name="Macao" iso3="MAC">127517</country>
			<country name="Bangladesh" iso3="BGD">0</country>
			<country name="Vietnam" iso3="VNM">747897</country>
			<country name="Myanmar" iso3="MMR">288471</country>
			<country name="Philippines" iso3="PHL">160758</country>
			<country name="Thailand" iso3="THA">76813</country>
			<country name="India" iso3="IND">3427</country>
			<country name="Cambodia" iso3="KHM">0</country>
			<country name="Malaysia" iso3="MYS">139727</country>
			<country name="Indonesia" iso3="IDN">103990</country>
		</countriesPop>
		<countriesCoeff>
			<country name="China" iso3="CHN">2674</country>
			<country name="North Korea" iso3="PRK">69</country>
			<country name="Other countries" iso3="">30</country>
			<country name="South Korea" iso3="KOR">19</country>
			<country name="Japan" iso3="JPN">121</country>
			<country name="Taiwan" iso3="TWN">1</country>
			<country name="Hong Kong" iso3="HKG">0</country>
			<country name="Macao" iso3="MAC">139</country>
			<country name="Bangladesh" iso3="BGD">0</country>
			<country name="Vietnam" iso3="VNM">1203</country>
			<country name="Myanmar" iso3="MMR">433</country>
			<country name="Philippines" iso3="PHL">256</country>
			<country name="Thailand" iso3="THA">86</country>
			<country name="India" iso3="IND">5</country>
			<country name="Cambodia" iso3="KHM">0</country>
			<country name="Malaysia" iso3="MYS">205</country>
			<country name="Indonesia" iso3="IDN">131</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[ssurge>2 and <=3]]></value>
		<ListCountries>China, North Korea, South Korea, Taiwan, Vietnam, Myanmar, Philippines, Thailand, India, Cambodia, Malaysia, Indonesia</ListCountries>
		<category>2.0-3.0 m</category>
		<popValue>2495452</popValue>
		<CoeffValue>6134</CoeffValue>
		<countriesPop totClass="0">
			<country name="China" iso3="CHN">1067576</country>
			<country name="North Korea" iso3="PRK">221396</country>
			<country name="Other countries" iso3="">17901</country>
			<country name="South Korea" iso3="KOR">2610</country>
			<country name="Japan" iso3="JPN">0</country>
			<country name="Taiwan" iso3="TWN">846</country>
			<country name="Hong Kong" iso3="HKG">0</country>
			<country name="Macao" iso3="MAC">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
			<country name="Vietnam" iso3="VNM">480015</country>
			<country name="Myanmar" iso3="MMR">97823</country>
			<country name="Philippines" iso3="PHL">126389</country>
			<country name="Thailand" iso3="THA">8192</country>
			<country name="India" iso3="IND">964</country>
			<country name="Cambodia" iso3="KHM">12</country>
			<country name="Malaysia" iso3="MYS">322510</country>
			<country name="Indonesia" iso3="IDN">149213</country>
		</countriesPop>
		<countriesCoeff>
			<country name="China" iso3="CHN">2709</country>
			<country name="North Korea" iso3="PRK">465</country>
			<country name="Other countries" iso3="">50</country>
			<country name="South Korea" iso3="KOR">6</country>
			<country name="Japan" iso3="JPN">0</country>
			<country name="Taiwan" iso3="TWN">1</country>
			<country name="Hong Kong" iso3="HKG">0</country>
			<country name="Macao" iso3="MAC">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
			<country name="Vietnam" iso3="VNM">1143</country>
			<country name="Myanmar" iso3="MMR">254</country>
			<country name="Philippines" iso3="PHL">319</country>
			<country name="Thailand" iso3="THA">19</country>
			<country name="India" iso3="IND">2</country>
			<country name="Cambodia" iso3="KHM">0</country>
			<country name="Malaysia" iso3="MYS">801</country>
			<country name="Indonesia" iso3="IDN">357</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[ssurge>3 and <=5]]></value>
		<ListCountries>China, North Korea, South Korea, Taiwan, Vietnam, Myanmar, Philippines, Thailand, India, Cambodia, Malaysia, Indonesia</ListCountries>
		<category>3.0-5.0 m</category>
		<popValue>5289679</popValue>
		<CoeffValue>20726</CoeffValue>
		<countriesPop totClass="0">
			<country name="China" iso3="CHN">3325180</country>
			<country name="North Korea" iso3="PRK">64353</country>
			<country name="Other countries" iso3="">41525</country>
			<country name="South Korea" iso3="KOR">74895</country>
			<country name="Japan" iso3="JPN">0</country>
			<country name="Taiwan" iso3="TWN">22666</country>
			<country name="Hong Kong" iso3="HKG">0</country>
			<country name="Macao" iso3="MAC">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
			<country name="Vietnam" iso3="VNM">487837</country>
			<country name="Myanmar" iso3="MMR">458685</country>
			<country name="Philippines" iso3="PHL">397416</country>
			<country name="Thailand" iso3="THA">89265</country>
			<country name="India" iso3="IND">2097</country>
			<country name="Cambodia" iso3="KHM">4834</country>
			<country name="Malaysia" iso3="MYS">267911</country>
			<country name="Indonesia" iso3="IDN">53009</country>
		</countriesPop>
		<countriesCoeff>
			<country name="China" iso3="CHN">12831</country>
			<country name="North Korea" iso3="PRK">234</country>
			<country name="Other countries" iso3="">161</country>
			<country name="South Korea" iso3="KOR">320</country>
			<country name="Japan" iso3="JPN">0</country>
			<country name="Taiwan" iso3="TWN">103</country>
			<country name="Hong Kong" iso3="HKG">0</country>
			<country name="Macao" iso3="MAC">0</country>
			<country name="Bangladesh" iso3="BGD">0</country>
			<country name="Vietnam" iso3="VNM">1923</country>
			<country name="Myanmar" iso3="MMR">1767</country>
			<country name="Philippines" iso3="PHL">1736</country>
			<country name="Thailand" iso3="THA">369</country>
			<country name="India" iso3="IND">6</country>
			<country name="Cambodia" iso3="KHM">22</country>
			<country name="Malaysia" iso3="MYS">1039</country>
			<country name="Indonesia" iso3="IDN">208</country>
		</countriesCoeff>
	</class>
	<class>
		<value><![CDATA[ssurge>5 and <=100]]></value>
		<ListCountries></ListCountries>
		<category>more than 5 m</category>
		<popValue>0</popValue>
		<CoeffValue>0</CoeffValue>
	</class>
</popvalues>