<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>World War II Data</title>
	<atom:link href="/category/other-ww2-data/demographics/feed/" rel="self" type="application/rss+xml" />
	<link>https://ww2data.com</link>
	<description>WW2 By The Numbers</description>
	<lastBuildDate>Thu, 14 Sep 2023 13:44:02 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.5.2</generator>
	<item>
		<title>Estimated Percentage of Jewish Population Killed, by Country</title>
		<link>https://ww2data.com/estimated-percentage-of-jewish-population-killed-by-country/</link>
					<comments>https://ww2data.com/estimated-percentage-of-jewish-population-killed-by-country/#respond</comments>
		
		<dc:creator><![CDATA[Mike Guina]]></dc:creator>
		<pubDate>Tue, 25 Oct 2022 15:59:19 +0000</pubDate>
				<category><![CDATA[Demographics]]></category>
		<category><![CDATA[Allies vs. Axis]]></category>
		<category><![CDATA[Civilian]]></category>
		<category><![CDATA[Germany]]></category>
		<category><![CDATA[Italy]]></category>
		<category><![CDATA[Nation or Ethnic]]></category>
		<category><![CDATA[Other Allies]]></category>
		<category><![CDATA[Other Axis]]></category>
		<category><![CDATA[USSR]]></category>
		<guid isPermaLink="false">https://ww2data.com/?p=1331</guid>

					<description><![CDATA[The Holocaust, one of the darkest chapters in human history, saw the systematic genocide of millions of Jews by Nazi Germany and its collaborators. While the sheer scale of this atrocity is well-documented, it&#8217;s essential to recognize that the impact of the Holocaust varied from country to country. Jewish populations suffered the ultimate sacrifice for [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>The Holocaust, one of the darkest chapters in human history, saw the systematic genocide of millions of Jews by Nazi Germany and its collaborators. While the sheer scale of this atrocity is well-documented, it&#8217;s essential to recognize that the impact of the Holocaust varied from country to country. Jewish populations suffered the ultimate sacrifice for their faith. Their fates varied upon where they resided during the war years. German and Polish Jews died at rates over 90%. Jewish death rates over 80% occurred in Greece, Lithuania, Romania, Latvia, Yugoslavia, and Slovakia.</p>



<figure class="wp-block-image size-large"><img fetchpriority="high" decoding="async" width="1024" height="570" src="/wp-content/uploads/2022/10/1034_062722-150x150.png" alt="Estimated Percentage of Jewish Population Killed, by Country" class="wp-image-1332" srcset="https://ww2data.com/wp-content/uploads/2022/10/1034_062722-150x150.png 1024w, https://ww2data.com/wp-content/uploads/2022/10/1034_062722-300x167.png 300w, https://ww2data.com/wp-content/uploads/2022/10/1034_062722-768x428.png 768w, https://ww2data.com/wp-content/uploads/2022/10/1034_062722-1536x856.png 1536w, https://ww2data.com/wp-content/uploads/2022/10/1034_062722-2048x1141.png 2048w, https://ww2data.com/wp-content/uploads/2022/10/1034_062722-630x350.png 630w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Estimated percentage of Jewish population killed in selected countries</figcaption></figure>



<p class="has-small-font-size">The above graph can be downloaded as an image.&nbsp;&nbsp;</p>



<p class="has-small-font-size">To download the data shown below from which the graph was developed click on the icon below corresponding to you desired format. Note: to ensure all data is downloaded choose the &#8216;All&#8217; selection in the Show Entries dropdown list. Otherwise only the data visible on the screen will download.</p>



<div class="wp-block-rank-math-toc-block" id="rank-math-toc" id="rank-math-toc"><h2>Table of Contents</h2><nav><ul><li ><a href="#the-holocaust-an-unprecedented-tragedy">The Holocaust: An Unprecedented Tragedy</a><ul><li ><a href="#poland-the-epicenter-of-atrocity">Poland: The Epicenter of Atrocity</a></li><li ><a href="#lithuania-a-devastating-impact">Lithuania: A Devastating Impact</a></li><li ><a href="#latvia-a-high-toll">Latvia: A High Toll</a></li><li ><a href="#hungary-a-late-onset-of-tragedy">Hungary: A Late Onset of Tragedy</a></li><li ><a href="#france-varying-outcomes">France: Varying Outcomes</a></li><li ><a href="#the-netherlands-a-notable-impact">The Netherlands: A Notable Impact</a></li></ul></li><li ><a href="#denmark-and-finland-an-anomaly-in-the-holocaust">Denmark and Finland: An Anomaly in the Holocaust</a><ul><li ><a href="#denmark-a-remarkable-rescue-mission">Denmark: A Remarkable Rescue Mission</a></li><li ><a href="#finland-a-unique-situation">Finland: A Unique Situation</a></li></ul></li><li ><a href="#conclusion-remembering-the-unfathomable-tragedy">Conclusion: Remembering the Unfathomable Tragedy</a></li><li ><a href="#estimated-percentage-of-jewish-population-killed-by-country-data">Estimated Percentage of Jewish Population Killed, by Country Data</a></li><li ><a href="#other-world-war-2-civilian-and-military-death-data">Other World War 2 Civilian and Military Death Data</a></li></ul></nav></div>



<h2 class="wp-block-heading has-large-font-size" id="the-holocaust-an-unprecedented-tragedy">The Holocaust: An Unprecedented Tragedy</h2>



<p>The Holocaust, orchestrated by Adolf Hitler&#8217;s Nazi regime during World War II, aimed to exterminate the Jewish population of Europe. The scale of this tragedy was staggering, with approximately six million Jews murdered. However, the percentage of Jewish population killed varied across different European nations.</p>



<h3 class="wp-block-heading has-normal-font-size" id="poland-the-epicenter-of-atrocity">Poland: The Epicenter of Atrocity</h3>



<p>Poland bore the brunt of the Holocaust, with the highest percentage of its Jewish population killed. It is estimated that around 90% of Polish Jews perished during the Holocaust. The reasons for this tragic figure are numerous, including the establishment of extermination camps like Auschwitz-Birkenau on Polish soil and the systematic destruction of Jewish communities.</p>



<h3 class="wp-block-heading has-normal-font-size" id="lithuania-a-devastating-impact">Lithuania: A Devastating Impact</h3>



<p>Lithuania, too, suffered profoundly, with estimates suggesting that approximately 85% of its Jewish population fell victim to the Holocaust. The mass shootings of Jews in places like Ponary and the wholesale extermination of Jewish communities played a significant role in this tragic outcome.</p>



<h3 class="wp-block-heading has-normal-font-size" id="latvia-a-high-toll">Latvia: A High Toll</h3>



<p>Latvia witnessed the genocide of a significant portion of its Jewish population, with estimates indicating that around 90% of Latvian Jews were killed during the Holocaust. The mass shootings in locations like Rumbula Forest were among the darkest episodes of this period.</p>



<h3 class="wp-block-heading has-normal-font-size" id="hungary-a-late-onset-of-tragedy">Hungary: A Late Onset of Tragedy</h3>



<p>In Hungary, the Holocaust took a different course. Initially, Hungarian authorities resisted Nazi deportation efforts, but in 1944, mass deportations began, leading to the deaths of approximately 74% of Hungarian Jews. The relatively lower percentage compared to other countries does not diminish the scale of the tragedy.</p>



<h3 class="wp-block-heading has-normal-font-size" id="france-varying-outcomes">France: Varying Outcomes</h3>



<p>France experienced differing outcomes within its borders. Estimates suggest that approximately 22% of French Jews were killed during the Holocaust. While this percentage is lower than in some Eastern European countries, it still represents a significant loss.</p>



<h3 class="wp-block-heading" id="the-netherlands-a-notable-impact">The Netherlands: A Notable Impact</h3>



<p>The Netherlands also witnessed a significant loss of Jewish life, with an estimated 71% of its Jewish population perishing during the Holocaust. The cooperation of Dutch authorities in deportations and the subsequent extermination contributed to this devastating figure.</p>



<h2 class="wp-block-heading has-large-font-size" id="denmark-and-finland-an-anomaly-in-the-holocaust">Denmark and Finland: An Anomaly in the Holocaust</h2>



<p>While many European nations suffered staggering losses in terms of their Jewish populations during the Holocaust, Denmark and Finland stand out as notable exceptions with remarkably low death percentages. The reasons for these comparatively lower figures are multifaceted and showcase the unique circumstances that shaped the fates of Jews in these two countries.</p>



<h3 class="wp-block-heading has-normal-font-size" id="denmark-a-remarkable-rescue-mission">Denmark: A Remarkable Rescue Mission</h3>



<p>Denmark&#8217;s percentage of Jewish population killed during the Holocaust is remarkably low, estimated at less than 1%. This exceptional outcome can be largely attributed to the collective efforts of the Danish people and a daring rescue mission.</p>



<p>In October 1943, as the Nazis intensified their efforts to deport Danish Jews to concentration camps, the Danish resistance and a significant portion of the population rallied to protect their Jewish compatriots. Danish Jews were swiftly hidden and evacuated to neutral Sweden, out of the reach of the Nazi regime. This extraordinary act of solidarity and resistance spared most Denmark&#8217;s Jewish population from the horrors of the Holocaust.</p>



<h3 class="wp-block-heading has-normal-font-size" id="finland-a-unique-situation">Finland: A Unique Situation</h3>



<p>Finland, too, experienced a notably low percentage of its Jewish population killed during the Holocaust, estimated at less than 1%. The reasons behind this relatively low figure are complex and unique to Finland&#8217;s situation during World War II.</p>



<p>Firstly, Finland was involved in a separate conflict with the Soviet Union, known as the Continuation War, which was distinct from the larger European theater of the war. This geographical and political situation meant that Finland had fewer interactions with Nazi Germany, which limited the scope of Nazi anti-Semitic policies within its borders.</p>



<p>Furthermore, Finland had a small Jewish population to begin with, making it a less significant target for Nazi persecution. The Jewish community in Finland was also well-integrated into Finnish society, reducing the likelihood of widespread deportations and violence.</p>



<p>In summary, Denmark and Finland&#8217;s remarkably low percentages of Jewish population killed during the Holocaust can be attributed to unique circumstances. Denmark&#8217;s collective resistance and daring rescue mission proved instrumental in saving Danish Jews, while Finland&#8217;s separate wartime situation and smaller Jewish population contributed to its comparatively low losses. These stories serve as poignant reminders that even in the darkest times, acts of solidarity, resistance, and unique geopolitical factors can make a difference in the face of overwhelming adversity.</p>



<h2 class="wp-block-heading has-large-font-size" id="conclusion-remembering-the-unfathomable-tragedy">Conclusion: Remembering the Unfathomable Tragedy</h2>



<p>The estimated percentage of Jewish population killed during the Holocaust serves as a grim reminder of the extent of the genocide orchestrated by Nazi Germany. The impact varied across countries due to factors such as the timing of deportations, the presence of extermination camps, and the level of collaboration by local authorities. It is crucial to remember and honor the memory of the victims and ensure that such horrors are never repeated in history. The Holocaust remains a stark testament to the darkest depths of human cruelty and the importance of vigilance against hatred and prejudice.</p>



<h2 class="wp-block-heading has-large-font-size" id="estimated-percentage-of-jewish-population-killed-by-country-data">Estimated Percentage of Jewish Population Killed, by Country Data</h2>



<div class="wpdt-c wdt-skin-light">
    
<input type="hidden" id="wdtNonceFrontendEdit_106" name="wdtNonceFrontendEdit_106" value="a0970e4fa1" /><input type="hidden" name="_wp_http_referer" value="/category/other-ww2-data/demographics/feed/" />    <input type="hidden" id="table_1_desc"
           value='{"tableId":"table_1","tableType":"manual","selector":"#table_1","responsive":true,"responsiveAction":"icon","editable":false,"inlineEditing":false,"infoBlock":true,"pagination":1,"paginationAlign":"right","paginationLayout":"full_numbers","paginationLayoutMobile":"simple","file_location":"","tableSkin":"light","scrollable":false,"globalSearch":true,"showRowsPerPage":true,"popoverTools":false,"hideBeforeLoad":true,"number_format":2,"decimalPlaces":1,"spinnerSrc":"https:\/\/ww2data.com\/wp-content\/plugins\/wpdatatables\/assets\/\/img\/spinner.gif","groupingEnabled":false,"tableWpId":106,"dataTableParams":{"sDom":"BT\u003C\u0027clear\u0027\u003Elftip","bSortCellsTop":false,"bFilter":true,"bPaginate":true,"sPaginationType":"full_numbers","aLengthMenu":[[1,5,10,25,50,100,-1],[1,5,10,25,50,100,"All"]],"iDisplayLength":10,"columnDefs":[{"sType":"formatted-num","wdtType":"int","bVisible":false,"orderable":true,"searchable":true,"InputType":"text","name":"wdt_ID","origHeader":"wdt_ID","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdt_id","aTargets":[0]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"country","origHeader":"country","notNull":false,"conditionalFormattingRules":[],"className":" column-country","aTargets":[1]},{"sType":"formatted-num","wdtType":"float","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"percentagekilled","origHeader":"percentagekilled","notNull":false,"conditionalFormattingRules":[],"className":"numdata float  column-percentagekilled","aTargets":[2]}],"bAutoWidth":false,"order":[[0,"asc"]],"ordering":true,"fixedHeader":{"header":false,"headerOffset":0},"fixedColumns":false,"buttons":[{"extend":"print","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_print","title":"Estimated Percentage of Jewish Population Killed, by Country","text":"Print"},{"extend":"excelHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_xls","filename":"Estimated Percentage of Jewish Population Killed, by Country","title":"Estimated Percentage of Jewish Population Killed, by Country","text":"Excel"},{"extend":"csvHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_csv","title":"Estimated Percentage of Jewish Population Killed, by Country","text":"CSV"},{"extend":"copyHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_copy","filename":"Estimated Percentage of Jewish Population Killed, by Country","title":"Estimated Percentage of Jewish Population Killed, by Country","text":"Copy"},{"extend":"pdfHtml5","exportOptions":{"columns":":visible"},"className":"DTTT_button DTTT_button_pdf","orientation":"portrait","pageSize":"LETTER","title":"Estimated Percentage of Jewish Population Killed, by Country","text":"PDF"}],"oLanguage":{"sSearchPlaceholder":""},"bProcessing":false,"serverSide":true,"ajax":{"url":"https:\/\/ww2data.com\/wp-admin\/admin-ajax.php?action=get_wdtable&table_id=106","type":"POST"},"oSearch":{"bSmart":false,"bRegex":false,"sSearch":""}},"tabletWidth":"1450","mobileWidth":"480","renderFilter":"header","advancedFilterEnabled":false,"serverSide":true,"autoRefreshInterval":0,"processing":true,"fnServerData":true,"columnsFixed":0,"sumFunctionsLabel":"","avgFunctionsLabel":"","minFunctionsLabel":"","maxFunctionsLabel":"","columnsDecimalPlaces":{"wdt_ID":-1,"country":-1,"percentagekilled":-1},"columnsThousandsSeparator":{"wdt_ID":0},"sumColumns":[],"avgColumns":[],"sumAvgColumns":[],"timeFormat":"h:i A","datepickFormat":"mm\/dd\/yy"}'/>

    <table id="table_1"
           class="  responsive display nowrap data-t data-t wpDataTable wpDataTableID-106"
           style="display: none; "
           data-described-by='table_1_desc'
           data-wpdatatable_id="106">
        
        <!-- Table header -->
        
<thead>
<tr>
                    <th
                        class=" wdtheader sort numdata integer "
        style="">wdt_ID</th>        <th
        data-class="expand"                class=" wdtheader sort "
        style="">Country</th>        <th
                        class=" wdtheader sort numdata float "
        style="">Percentage Killed</th>    </tr>
</thead>
        <!-- /Table header -->

        <!-- Table body -->
        
<tbody>
            <tr id="table_106_row_0">
                            <td style="">1</td>
                            <td style="">Germany</td>
                            <td style="">93.0</td>
                    </tr>
                <tr id="table_106_row_1">
                            <td style="">2</td>
                            <td style="">Poland</td>
                            <td style="">91.0</td>
                    </tr>
                <tr id="table_106_row_2">
                            <td style="">3</td>
                            <td style="">Greece</td>
                            <td style="">87.0</td>
                    </tr>
                <tr id="table_106_row_3">
                            <td style="">4</td>
                            <td style="">Lithuania</td>
                            <td style="">85.0</td>
                    </tr>
                <tr id="table_106_row_4">
                            <td style="">5</td>
                            <td style="">Latvia</td>
                            <td style="">84.0</td>
                    </tr>
                <tr id="table_106_row_5">
                            <td style="">6</td>
                            <td style="">Romania</td>
                            <td style="">84.0</td>
                    </tr>
                <tr id="table_106_row_6">
                            <td style="">7</td>
                            <td style="">Yugoslavia</td>
                            <td style="">81.0</td>
                    </tr>
                <tr id="table_106_row_7">
                            <td style="">8</td>
                            <td style="">Slovakia</td>
                            <td style="">80.0</td>
                    </tr>
                <tr id="table_106_row_8">
                            <td style="">9</td>
                            <td style="">Hungary</td>
                            <td style="">74.0</td>
                    </tr>
                <tr id="table_106_row_9">
                            <td style="">10</td>
                            <td style="">Netherlands</td>
                            <td style="">71.0</td>
                    </tr>
    </tbody>        <!-- /Table body -->

        <!-- Table footer -->
        
        <!-- /Table footer -->
    </table>

</div><style>
table.wpDataTable td.numdata { text-align: right !important; }
</style>
<style>
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tfoot td {
	color: #010101 !important;
}

/* even rows background color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.has-columns-hidden tr.row-detail > td {
	background-color: #03A9F438 !important;
}
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead tr:nth-child(2) th {
	overflow: visible;
}
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-family: Arial, Helvetica, sans-serif !important;
}
/* table font size */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-size:10px !important;
}
 
</style>
<style>
</style>
<style>
        /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-106 thead th,
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-106 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-106 thead th,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-106 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-106 tfoot td {
        color: #010101 !important;
    }
                            
                                /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-106,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-106 {
        font-family: Arial, Helvetica, sans-serif !important;
    }
                
                </style>




<p class="has-small-font-size">Source: McNab, Chris. “Hitler’s Masterplan.” Editor: Spilling, Michael, Amber Books, 2011, Page 145</p>



<h2 class="wp-block-heading has-large-font-size" id="other-world-war-2-civilian-and-military-death-data">Other World War 2 Civilian and Military Death Data</h2>



<p><a href="/world-war-2-total-civilian-and-military-deaths/">World War 2 Total Civilian and Military Deaths</a></p>



<p><a href="/ussr-world-war-2-deaths/">USSR World War 2 Deaths by Republic</a></p>



<p><a href="https://encyclopedia.ushmm.org/en" data-type="link" data-id="https://encyclopedia.ushmm.org/en" target="_blank" rel="noopener">United States Holocaust Museum</a></p>



<p class="has-small-font-size">This website, ww2data.com, has no responsibility for the persistence or accuracy of URLs for external or third party internet websites referenced.&nbsp;&nbsp;Nor does ww2data.com guarantee that any content on such websites are accurate or will remain accurate.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://ww2data.com/estimated-percentage-of-jewish-population-killed-by-country/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Estimated Jewish Populations, Wannsee Conference, 1942</title>
		<link>https://ww2data.com/estimated-jewish-populations-wannsee-conference-1942/</link>
					<comments>https://ww2data.com/estimated-jewish-populations-wannsee-conference-1942/#respond</comments>
		
		<dc:creator><![CDATA[Mike Guina]]></dc:creator>
		<pubDate>Tue, 25 Oct 2022 14:59:03 +0000</pubDate>
				<category><![CDATA[Demographics]]></category>
		<category><![CDATA[Allies vs. Axis]]></category>
		<category><![CDATA[Germany]]></category>
		<category><![CDATA[Great Britain]]></category>
		<category><![CDATA[Italy]]></category>
		<category><![CDATA[Other Allies]]></category>
		<category><![CDATA[Other Axis]]></category>
		<category><![CDATA[USSR]]></category>
		<guid isPermaLink="false">https://ww2data.com/?p=1319</guid>

					<description><![CDATA[The Wannsee Conference, held on January 20, 1942, is a chilling reminder of the systematic and organized nature of the Holocaust during World War II. This conference, convened by high-ranking officials of Nazi Germany, was instrumental in planning the implementation of the &#8220;Final Solution,&#8221; a genocidal program aimed at the extermination of Europe&#8217;s Jewish population. [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>The Wannsee Conference, held on January 20, 1942, is a chilling reminder of the systematic and organized nature of the Holocaust during World War II. This conference, convened by high-ranking officials of Nazi Germany, was instrumental in planning the implementation of the &#8220;Final Solution,&#8221; a genocidal program aimed at the extermination of Europe&#8217;s Jewish population. This article delves into the goals of the Wannsee Conference, the lists of Jewish populations discussed, and the broader context of Nazi racial laws.</p>



<p>“The final solution to the Jewish question” was the goal of the Wannsee Conference that took place on January 20, 1942. Adolf Eichmann, one of the fifteen conference attendees, drew up two lists; List A and List B.</p>



<figure class="wp-block-image size-large"><img decoding="async" width="1024" height="528" src="/wp-content/uploads/2022/10/1185_102522-150x150.png" alt="Estimated Jewish Populations, Wannsee Conference, 1942 List A" class="wp-image-1320" srcset="https://ww2data.com/wp-content/uploads/2022/10/1185_102522-150x150.png 1024w, https://ww2data.com/wp-content/uploads/2022/10/1185_102522-300x155.png 300w, https://ww2data.com/wp-content/uploads/2022/10/1185_102522-768x396.png 768w, https://ww2data.com/wp-content/uploads/2022/10/1185_102522-1536x792.png 1536w, https://ww2data.com/wp-content/uploads/2022/10/1185_102522-2048x1055.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Estimate of Jews living in Nazi occupied territories.</figcaption></figure>



<figure class="wp-block-image size-large"><img decoding="async" width="1024" height="670" src="/assets/archive-image-unavailable.svg" alt="Estimated Jewish Populations, Wannsee Conference, 1942 List B" class="wp-image-1365" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Estimates of Jews living in living in Allied, client, neutral or warring states.</figcaption></figure>



<p class="has-small-font-size">The above two graphs can be downloaded as images.</p>



<div class="wp-block-rank-math-toc-block" id="rank-math-toc" id="rank-math-toc"><h2>Table of Contents</h2><nav><ul><li ><a href="#goals-of-the-conference">Goals of the Conference</a></li><li ><a href="#the-final-solution">The Final Solution</a><ul><li ><a href="#list-a">List A</a></li><li ><a href="#list-b">List B</a></li></ul></li><li ><a href="#nuremberg-race-laws">Nuremberg Race Laws</a></li><li ><a href="#conclusion">Conclusion:</a></li><li ><a href="#estimated-jewish-populations-wannsee-conference-1942-data">Estimated Jewish Populations, Wannsee Conference, 1942 Data</a></li><li ><a href="#other-world-war-2-civilian-and-military-death-data">Other World War 2 Civilian and Military Death Data</a></li></ul></nav></div>



<h2 class="wp-block-heading has-larger-font-size" id="goals-of-the-conference">Goals of the Conference</h2>



<p>The Wannsee Conference had a sinister agenda, reflecting the Nazi regime&#8217;s commitment to the &#8220;Final Solution.&#8221; The key objectives of the conference included:</p>



<h2 class="wp-block-heading has-larger-font-size" id="the-final-solution">The Final Solution</h2>



<p>The conference aimed to coordinate the logistics of the mass murder of European Jews, a plan that had already begun in earnest with mass shootings and deportations to concentration camps.</p>



<p>List A and List B from the Wannsee Conference outlined the estimated Jewish populations in various countries and territories.&nbsp;&nbsp;Please note that these lists were not exhaustive, and there were other countries and regions mentioned during the conference. Additionally, the intent behind List B was to highlight the Nazis&#8217; desire to extend their genocidal campaign to other regions beyond the occupied territories.</p>



<h3 class="wp-block-heading has-large-font-size" id="list-a">List A</h3>



<p>List A, presented at the conference, cataloged the estimated Jewish populations residing in the occupied territories of Europe. It served as a critical document for organizing deportations and mass killings in these regions.</p>



<p>Occupied Countries or Territories included Eastern Poland, General Government (Nazi-occupied Poland), Lithuania, Latvia, Estonia, Belarus, Ukraine, Bessarabia (parts of present-day Moldova and Ukraine), Croatia (including parts of Yugoslavia), Serbia (including parts of Yugoslavia), and Slovakia.</p>



<p>Note: Occupied Poland was not on the list because by 1939 the country was split three ways among Polish areas annexed by Nazi Germany in the west, the territories of Poland annexed by the Soviet Union in the east, and the General Government where many Polish and Jewish expellees had already been resettled.</p>



<h3 class="wp-block-heading has-large-font-size" id="list-b">List B</h3>



<p>List B focused on Jews living in allied, client, neutral, or warring states. While the immediate focus of the conference was on the occupied territories, List B demonstrated the Nazis&#8217; intent to extend their genocidal campaign to other regions and populations.</p>



<p>Allied, Client, Neutral, or Warring States comprising List B: France (including Vichy France), Belgium, Netherlands, Luxembourg, Norway, Italy, Bulgaria, Hungary, Romania, Finland, Denmark, Switzerland, Spain, Portugal, Sweden, Ireland, Turkey, and United Kingdom.</p>



<h2 class="wp-block-heading has-larger-font-size" id="nuremberg-race-laws">Nuremberg Race Laws</h2>



<p>The conference operated within the framework of the Nuremberg race laws, which defined who was considered Jewish and, by extension, eligible for persecution and extermination.</p>



<h2 class="wp-block-heading has-larger-font-size" id="conclusion">Conclusion:</h2>



<p>The Wannsee Conference stands as a harrowing testament to the depths of human cruelty and the horrors that can be perpetrated under the banner of ideology. It was a pivotal moment in the Holocaust, as it marked a formalized effort to coordinate and accelerate the mass murder of European Jews. The &#8220;Final Solution&#8221; discussed at Wannsee represented an unprecedented level of systematic genocide.</p>



<h2 class="wp-block-heading has-larger-font-size" id="estimated-jewish-populations-wannsee-conference-1942-data">Estimated Jewish Populations, Wannsee Conference, 1942 Data</h2>



<p class="has-small-font-size">To download the data shown below from which the graph was developed click on the icon below corresponding to you desired format. Note: to ensure all data is downloaded choose the &#8216;All&#8217; selection in the Show Entries dropdown list. Otherwise only the data visible on the screen will download.</p>



<div class="wpdt-c wdt-skin-light">
    
<input type="hidden" id="wdtNonceFrontendEdit_104" name="wdtNonceFrontendEdit_104" value="5fd428723a" /><input type="hidden" name="_wp_http_referer" value="/category/other-ww2-data/demographics/feed/" />    <input type="hidden" id="table_2_desc"
           value='{"tableId":"table_2","tableType":"manual","selector":"#table_2","responsive":true,"responsiveAction":"icon","editable":false,"inlineEditing":false,"infoBlock":true,"pagination":1,"paginationAlign":"right","paginationLayout":"full_numbers","paginationLayoutMobile":"simple","file_location":"","tableSkin":"light","scrollable":true,"globalSearch":true,"showRowsPerPage":true,"popoverTools":false,"hideBeforeLoad":true,"number_format":2,"decimalPlaces":1,"spinnerSrc":"https:\/\/ww2data.com\/wp-content\/plugins\/wpdatatables\/assets\/\/img\/spinner.gif","groupingEnabled":false,"tableWpId":104,"dataTableParams":{"sDom":"BT\u003C\u0027clear\u0027\u003Elf\u003C\u0027wdtscroll\u0027t\u003Eip","bSortCellsTop":false,"bFilter":true,"bPaginate":true,"sPaginationType":"full_numbers","aLengthMenu":[[1,5,10,25,50,100,-1],[1,5,10,25,50,100,"All"]],"iDisplayLength":10,"columnDefs":[{"sType":"formatted-num","wdtType":"int","bVisible":false,"orderable":true,"searchable":true,"InputType":"text","name":"wdt_ID","origHeader":"wdt_ID","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdt_id","aTargets":[0]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"countryterritorylista","origHeader":"countryterritorylista","notNull":false,"conditionalFormattingRules":[],"className":" column-countryterritorylista","aTargets":[1]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"number","origHeader":"number","notNull":false,"conditionalFormattingRules":[],"className":" column-number","aTargets":[2]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"countryterritorylistb","origHeader":"countryterritorylistb","notNull":false,"conditionalFormattingRules":[],"className":" column-countryterritorylistb","aTargets":[3]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"number1","origHeader":"number1","notNull":false,"conditionalFormattingRules":[],"className":" column-number1","aTargets":[4]}],"bAutoWidth":false,"order":[[0,"asc"]],"ordering":true,"fixedHeader":{"header":false,"headerOffset":0},"fixedColumns":false,"buttons":[{"extend":"print","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_print","title":"Estimate Remaining Jewish Populations, Wannsee Conference, 1942","text":"Print"},{"extend":"excelHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_xls","filename":"Estimate Remaining Jewish Populations, Wannsee Conference, 1942","title":"Estimate Remaining Jewish Populations, Wannsee Conference, 1942","text":"Excel"},{"extend":"csvHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_csv","title":"Estimate Remaining Jewish Populations, Wannsee Conference, 1942","text":"CSV"},{"extend":"copyHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_copy","filename":"Estimate Remaining Jewish Populations, Wannsee Conference, 1942","title":"Estimate Remaining Jewish Populations, Wannsee Conference, 1942","text":"Copy"},{"extend":"pdfHtml5","exportOptions":{"columns":":visible"},"className":"DTTT_button DTTT_button_pdf","orientation":"portrait","pageSize":"LETTER","title":"Estimate Remaining Jewish Populations, Wannsee Conference, 1942","text":"PDF"}],"oLanguage":{"sSearchPlaceholder":""},"bProcessing":false,"serverSide":true,"ajax":{"url":"https:\/\/ww2data.com\/wp-admin\/admin-ajax.php?action=get_wdtable&table_id=104","type":"POST"},"oSearch":{"bSmart":false,"bRegex":false,"sSearch":""}},"tabletWidth":"1450","mobileWidth":"480","renderFilter":"header","advancedFilterEnabled":false,"serverSide":true,"autoRefreshInterval":0,"processing":true,"fnServerData":true,"columnsFixed":0,"sumFunctionsLabel":"","avgFunctionsLabel":"","minFunctionsLabel":"","maxFunctionsLabel":"","columnsDecimalPlaces":{"wdt_ID":-1,"countryterritorylista":-1,"number":-1,"countryterritorylistb":-1,"number1":-1},"columnsThousandsSeparator":{"wdt_ID":0},"sumColumns":[],"avgColumns":[],"sumAvgColumns":[],"timeFormat":"h:i A","datepickFormat":"mm\/dd\/yy"}'/>

    <table id="table_2"
           class=" scroll responsive display nowrap data-t data-t wpDataTable wpDataTableID-104"
           style="display: none; "
           data-described-by='table_2_desc'
           data-wpdatatable_id="104">
        
        <!-- Table header -->
        
<thead>
<tr>
                    <th
                        class=" wdtheader sort numdata integer "
        style="">wdt_ID</th>        <th
        data-class="expand"                class=" wdtheader sort "
        style="">Country/Territory - List A</th>        <th
                        class=" wdtheader sort "
        style="">Number</th>        <th
                        class=" wdtheader sort "
        style="">Country/Territory - List B</th>        <th
                        class=" wdtheader sort "
        style="">Number</th>    </tr>
</thead>
        <!-- /Table header -->

        <!-- Table body -->
        
<tbody>
            <tr id="table_104_row_0">
                            <td style="">1</td>
                            <td style="">General Government</td>
                            <td style="">2,284,000</td>
                            <td style="">Ukraine</td>
                            <td style="">2,994,684</td>
                    </tr>
                <tr id="table_104_row_1">
                            <td style="">2</td>
                            <td style="">France unoccupied</td>
                            <td style="">700,000</td>
                            <td style="">USSR</td>
                            <td style="">1,558,832</td>
                    </tr>
                <tr id="table_104_row_2">
                            <td style="">3</td>
                            <td style="">Eastern Territories</td>
                            <td style="">420,000</td>
                            <td style="">Hungary</td>
                            <td style="">742,800</td>
                    </tr>
                <tr id="table_104_row_3">
                            <td style="">4</td>
                            <td style="">Bialystok</td>
                            <td style="">400,000</td>
                            <td style="">Belorussia</td>
                            <td style="">446,484</td>
                    </tr>
                <tr id="table_104_row_4">
                            <td style="">5</td>
                            <td style="">France occupied</td>
                            <td style="">165,000</td>
                            <td style="">Romania</td>
                            <td style="">342,000</td>
                    </tr>
                <tr id="table_104_row_5">
                            <td style="">6</td>
                            <td style="">Netherlands</td>
                            <td style="">160,800</td>
                            <td style="">England</td>
                            <td style="">330,000</td>
                    </tr>
                <tr id="table_104_row_6">
                            <td style="">7</td>
                            <td style="">Old Reich</td>
                            <td style="">131,800</td>
                            <td style="">Slovakia</td>
                            <td style="">88,000</td>
                    </tr>
                <tr id="table_104_row_7">
                            <td style="">8</td>
                            <td style="">Bohemia/Moravia</td>
                            <td style="">74,200</td>
                            <td style="">Italy</td>
                            <td style="">58,000</td>
                    </tr>
                <tr id="table_104_row_8">
                            <td style="">9</td>
                            <td style="">Greece</td>
                            <td style="">69,600</td>
                            <td style="">Turkey</td>
                            <td style="">55,500</td>
                    </tr>
                <tr id="table_104_row_9">
                            <td style="">10</td>
                            <td style="">Austria</td>
                            <td style="">43,700</td>
                            <td style="">Bulgaria</td>
                            <td style="">48,000</td>
                    </tr>
    </tbody>        <!-- /Table body -->

        <!-- Table footer -->
        
        <!-- /Table footer -->
    </table>

</div><style>
table.wpDataTable td.numdata { text-align: right !important; }
</style>
<style>
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tfoot td {
	color: #010101 !important;
}

/* even rows background color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.has-columns-hidden tr.row-detail > td {
	background-color: #03A9F438 !important;
}
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead tr:nth-child(2) th {
	overflow: visible;
}
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-family: Arial, Helvetica, sans-serif !important;
}
/* table font size */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-size:10px !important;
}
 
</style>
<style>
</style>
<style>
        /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-104 thead th,
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-104 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-104 thead th,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-104 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-104 tfoot td {
        color: #010101 !important;
    }
                            
                                /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-104,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-104 {
        font-family: Arial, Helvetica, sans-serif !important;
    }
                
                </style>




<p class="has-small-font-size">Source: McNab, Chris. “Hitler’s Masterplan.” Editor: Spilling, Michael, Amber Books, 2011, Page 131</p>



<p class="has-small-font-size">The two lists here were composed by Adolf Eichmann for the Wannsee Conference. They are Nazi estimates of Jews living in occupied territories (List A) and those living in allied, client, neutral or warring states (List B).</p>



<h2 class="wp-block-heading has-larger-font-size" id="other-world-war-2-civilian-and-military-death-data">Other World War 2 Civilian and Military Death Data</h2>



<p><a href="/world-war-2-total-civilian-and-military-deaths/">World War 2 Total Civilian and Military Deaths</a></p>



<p><a href="/ussr-world-war-2-deaths/">USSR World War 2 Deaths by Republic</a></p>



<p><a href="https://encyclopedia.ushmm.org/en" target="_blank" rel="noreferrer noopener">United States Holocaust Museum</a></p>



<p><a href="/estimated-percentage-of-jewish-population-killed-by-country/" data-type="link" data-id="https://ww2data.com/estimated-percentage-of-jewish-population-killed-by-country/">Estimated Percentage of Jewish Population Killed, by Country</a></p>



<p class="has-small-font-size">This website, ww2data.com, has no responsibility for the persistence or accuracy of URLs for external or third party internet websites referenced.  Nor does ww2data.com guarantee that any content on such websites are accurate or will remain accurate.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://ww2data.com/estimated-jewish-populations-wannsee-conference-1942/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Ethnic Groups Targeted for Expulsion by Germany</title>
		<link>https://ww2data.com/ethnic-groups-targeted-for-expulsion-by-germany/</link>
					<comments>https://ww2data.com/ethnic-groups-targeted-for-expulsion-by-germany/#respond</comments>
		
		<dc:creator><![CDATA[Mike Guina]]></dc:creator>
		<pubDate>Mon, 24 Oct 2022 14:15:35 +0000</pubDate>
				<category><![CDATA[Demographics]]></category>
		<category><![CDATA[Germany]]></category>
		<guid isPermaLink="false">https://ww2data.com/?p=1251</guid>

					<description><![CDATA[During the tumultuous years leading up to and during World War II, Nazi Germany embarked on a series of aggressive expansionist policies rooted in the concept of Lebensraum, or &#8220;living space.&#8221; These policies aimed to create a greater German empire by acquiring and colonizing territories in Central and Eastern Europe. To achieve this vision, the [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>During the tumultuous years leading up to and during World War II, Nazi Germany embarked on a series of aggressive expansionist policies rooted in the concept of Lebensraum, or &#8220;living space.&#8221; These policies aimed to create a greater German empire by acquiring and colonizing territories in Central and Eastern Europe. To achieve this vision, the Nazis developed General Plan Ost, a comprehensive scheme for the colonization and transformation of these regions. This article explores the ethnic groups targeted for expulsion by Germany under these ominous plans and the ideological motivations that underpinned them.</p>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="529" src="/wp-content/uploads/2022/10/1175_102422-150x150.png" alt="Ethnic Groups Targeted for Expulsion by Germany" class="wp-image-1252" srcset="https://ww2data.com/wp-content/uploads/2022/10/1175_102422-150x150.png 1024w, https://ww2data.com/wp-content/uploads/2022/10/1175_102422-300x155.png 300w, https://ww2data.com/wp-content/uploads/2022/10/1175_102422-768x397.png 768w, https://ww2data.com/wp-content/uploads/2022/10/1175_102422-1536x793.png 1536w, https://ww2data.com/wp-content/uploads/2022/10/1175_102422-2048x1058.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Racial purity drove the expulsion of non-Aryan groups. Eastern Europeans were heavily targeted for expulsion from Germany.  This was one of many discriminatory actions taken against them as well as other groups deemed as undesirable. </figcaption></figure>



<p class="has-small-font-size">The above graph can be downloaded as an image.</p>



<div class="wp-block-rank-math-toc-block" id="rank-math-toc" id="rank-math-toc"><h2>Table of Contents</h2><nav><ul><li ><a href="#overview-of-lebensraum">Overview of Lebensraum</a><ul><li ><a href="#overview-of-general-plan-ost">Overview of General Plan Ost</a><ul><li ><a href="#1-small-plan-kleine-planung">1. &#8220;Small Plan&#8221; (Kleine Planung)</a></li><li ><a href="#2-big-plan-grosse-planung">2. &#8220;Big Plan&#8221; (Grosse Planung)</a></li></ul></li><li ><a href="#ethnic-groups-and-nationalities-targeted">Ethnic Groups and Nationalities Targeted</a><ul></ul></li><li ><a href="#operation-barbarossa-and-judeo-bolshevism">Operation Barbarossa and &#8220;Judeo-Bolshevism&#8221;</a></li></ul></li><li ><a href="#conclusion">Conclusion</a></li><li ><a href="#ethnic-groups-targeted-for-expulsion-by-germany-data">Ethnic Groups Targeted for Expulsion by Germany Data</a></li><li ><a href="#other-world-war-2-civilian-and-military-death-data">Other World War 2 Civilian and Military Death Data</a></li></ul></nav></div>



<h2 class="wp-block-heading" id="overview-of-lebensraum">Overview of Lebensraum</h2>



<p>The concept of Lebensraum formed a central tenet of Nazi ideology. It envisaged the territorial expansion of Germany into the Slavic territories of Central and Eastern Europe, driven by the notion of Drang nach Osten, or &#8220;Drive to the East.&#8221; The Nazis believed in the supremacy of the Aryan race and sought to establish dominance over the region, viewing Slavic peoples as inferior and disposable.</p>



<h3 class="wp-block-heading" id="overview-of-general-plan-ost">Overview of General Plan Ost</h3>



<p>General Plan Ost outlined the systematic colonization and exploitation of Eastern European territories. This plan was divided into two main components:</p>



<h4 class="wp-block-heading" id="1-small-plan-kleine-planung">1. &#8220;Small Plan&#8221; (Kleine Planung)</h4>



<p>The &#8220;Small Plan&#8221; focused on the immediate annexation and Germanization of territories such as Poland and the Baltics. It involved the expulsion and elimination of undesirable populations, especially Jews and Slavs, through mass murder and forced labor. This plan was envisioned to last the duration of the war.</p>



<h4 class="wp-block-heading" id="2-big-plan-grosse-planung">2. &#8220;Big Plan&#8221; (Grosse Planung)</h4>



<p>The &#8220;Big Plan&#8221; envisioned long-term colonization and ethnic restructuring of the East. This involved the displacement, expulsion, and murder of vast numbers of indigenous people to make room for German settlers. It was a comprehensive scheme for the ruthless transformation of Eastern Europe. As of June 1941, the policy envisaged the deportation of 31 million Slavs to Siberia. This plan was envisioned to last 25 to 30 years after the war was won.</p>



<h3 class="wp-block-heading" id="ethnic-groups-and-nationalities-targeted">Ethnic Groups and Nationalities Targeted</h3>



<p>Under General Plan Ost, several ethnic groups and nationalities were targeted for expulsion and elimination. The plan included target percentages of expulsion or elimination. These included:</p>



<h4 class="wp-block-heading" id="jews">Jews</h4>



<p>The Jewish population, which faced systematic extermination in the Holocaust, was a primary target of Nazi persecution and expulsion. The target percentage was 100%.</p>



<h4 class="wp-block-heading" id="slavic-peoples">Slavic Peoples</h4>



<p>Slavic nations, including Poles, Ukrainians, Belarusians, and Russians, were viewed as racially inferior by the Nazis and subjected to expulsion, enslavement, and mass murder. These target percentages ranged from 50 to 85%.</p>



<h4 class="wp-block-heading" id="romani-people">Romani People</h4>



<p>The Romani population was subjected to persecution, forced labor, and genocide. The target percentage was 100%.</p>



<h4 class="wp-block-heading" id="intellectuals-and-political-dissidents">Intellectuals and Political Dissidents</h4>



<p>Anyone perceived as a threat to Nazi rule, including intellectuals, political dissidents, and members of resistance movements, was targeted for expulsion or execution.</p>



<h3 class="wp-block-heading" id="operation-barbarossa-and-judeo-bolshevism">Operation Barbarossa and &#8220;Judeo-Bolshevism&#8221;</h3>



<p>Operation Barbarossa, the invasion of the Soviet Union, marked an ideological-racial war between German National Socialism and &#8220;Judeo-Bolshevism.&#8221; The Commissar Order, issued on June 6, 1941, just prior to the invasion, called for the summary execution of Soviet political commissars and Jews, further highlighting the genocidal intent of the Nazi regime.</p>



<h2 class="wp-block-heading" id="conclusion">Conclusion</h2>



<p>The targeting of ethnic groups for expulsion and extermination by Nazi Germany under General Plan Ost represents one of the darkest chapters in human history. Driven by a toxic blend of racism, anti-Semitism, and imperialistic ambition, the Nazis subjected millions to violence, displacement, and death in their ruthless pursuit of Lebensraum.</p>



<h2 class="wp-block-heading has-larger-font-size" id="ethnic-groups-targeted-for-expulsion-by-germany-data">Ethnic Groups Targeted for Expulsion by Germany Data</h2>



<p class="has-small-font-size">To download the data shown below from which the graph was developed click on the icon below corresponding to you desired format. Note: to ensure all data is downloaded choose the &#8216;All&#8217; selection in the Show Entries dropdown list. Otherwise only the data visible on the screen will download.</p>



<div class="wpdt-c wdt-skin-light">
    
<input type="hidden" id="wdtNonceFrontendEdit_86" name="wdtNonceFrontendEdit_86" value="27d890516d" /><input type="hidden" name="_wp_http_referer" value="/category/other-ww2-data/demographics/feed/" />    <input type="hidden" id="table_3_desc"
           value='{"tableId":"table_3","tableType":"manual","selector":"#table_3","responsive":true,"responsiveAction":"icon","editable":false,"inlineEditing":false,"infoBlock":true,"pagination":1,"paginationAlign":"right","paginationLayout":"full_numbers","paginationLayoutMobile":"simple","file_location":"","tableSkin":"light","scrollable":false,"globalSearch":true,"showRowsPerPage":true,"popoverTools":false,"hideBeforeLoad":true,"number_format":2,"decimalPlaces":1,"spinnerSrc":"https:\/\/ww2data.com\/wp-content\/plugins\/wpdatatables\/assets\/\/img\/spinner.gif","groupingEnabled":false,"tableWpId":86,"dataTableParams":{"sDom":"BT\u003C\u0027clear\u0027\u003Elftip","bSortCellsTop":false,"bFilter":true,"bPaginate":true,"sPaginationType":"full_numbers","aLengthMenu":[[1,5,10,25,50,100,-1],[1,5,10,25,50,100,"All"]],"iDisplayLength":10,"columnDefs":[{"sType":"formatted-num","wdtType":"int","bVisible":false,"orderable":true,"searchable":true,"InputType":"text","name":"wdt_ID","origHeader":"wdt_ID","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdt_id","aTargets":[0]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"ethnicgroup","origHeader":"ethnicgroup","notNull":false,"conditionalFormattingRules":[],"className":" column-ethnicgroup","aTargets":[1]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"percenttargeted","origHeader":"percenttargeted","notNull":false,"conditionalFormattingRules":[],"className":" column-percenttargeted","aTargets":[2]}],"bAutoWidth":false,"order":[[0,"asc"]],"ordering":true,"fixedHeader":{"header":false,"headerOffset":0},"fixedColumns":false,"buttons":[{"extend":"print","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_print","title":"Percentage of Ethnic Groups Targeted for Expulsion by Germany","text":"Print"},{"extend":"excelHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_xls","filename":"Percentage of Ethnic Groups Targeted for Expulsion by Germany","title":"Percentage of Ethnic Groups Targeted for Expulsion by Germany","text":"Excel"},{"extend":"csvHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_csv","title":"Percentage of Ethnic Groups Targeted for Expulsion by Germany","text":"CSV"},{"extend":"copyHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_copy","filename":"Percentage of Ethnic Groups Targeted for Expulsion by Germany","title":"Percentage of Ethnic Groups Targeted for Expulsion by Germany","text":"Copy"},{"extend":"pdfHtml5","exportOptions":{"columns":":visible"},"className":"DTTT_button DTTT_button_pdf","orientation":"portrait","pageSize":"LETTER","title":"Percentage of Ethnic Groups Targeted for Expulsion by Germany","text":"PDF"}],"oLanguage":{"sSearchPlaceholder":""},"bProcessing":false,"serverSide":true,"ajax":{"url":"https:\/\/ww2data.com\/wp-admin\/admin-ajax.php?action=get_wdtable&table_id=86","type":"POST"},"oSearch":{"bSmart":false,"bRegex":false,"sSearch":""}},"tabletWidth":"1450","mobileWidth":"480","renderFilter":"header","advancedFilterEnabled":false,"serverSide":true,"autoRefreshInterval":0,"processing":true,"fnServerData":true,"columnsFixed":0,"sumFunctionsLabel":"","avgFunctionsLabel":"","minFunctionsLabel":"","maxFunctionsLabel":"","columnsDecimalPlaces":{"wdt_ID":-1,"ethnicgroup":-1,"percenttargeted":-1},"columnsThousandsSeparator":{"wdt_ID":0},"sumColumns":[],"avgColumns":[],"sumAvgColumns":[],"timeFormat":"h:i A","datepickFormat":"mm\/dd\/yy"}'/>

    <table id="table_3"
           class="  responsive display nowrap data-t data-t wpDataTable wpDataTableID-86"
           style="display: none; "
           data-described-by='table_3_desc'
           data-wpdatatable_id="86">
        
        <!-- Table header -->
        
<thead>
<tr>
                    <th
                        class=" wdtheader sort numdata integer "
        style="">wdt_ID</th>        <th
        data-class="expand"                class=" wdtheader sort "
        style="">Ethnic Group</th>        <th
                        class=" wdtheader sort "
        style="">Percent Targeted</th>    </tr>
</thead>
        <!-- /Table header -->

        <!-- Table body -->
        
<tbody>
            <tr id="table_86_row_0">
                            <td style="">1</td>
                            <td style="">Czechs</td>
                            <td style="">50</td>
                    </tr>
                <tr id="table_86_row_1">
                            <td style="">2</td>
                            <td style="">Estonians</td>
                            <td style="">50</td>
                    </tr>
                <tr id="table_86_row_2">
                            <td style="">3</td>
                            <td style="">Latvians</td>
                            <td style="">50</td>
                    </tr>
                <tr id="table_86_row_3">
                            <td style="">4</td>
                            <td style="">Ukrainians</td>
                            <td style="">65</td>
                    </tr>
                <tr id="table_86_row_4">
                            <td style="">5</td>
                            <td style="">Belorussians</td>
                            <td style="">75</td>
                    </tr>
                <tr id="table_86_row_5">
                            <td style="">6</td>
                            <td style="">Lithuanians</td>
                            <td style="">85</td>
                    </tr>
                <tr id="table_86_row_6">
                            <td style="">7</td>
                            <td style="">Poles</td>
                            <td style="">85</td>
                    </tr>
                <tr id="table_86_row_7">
                            <td style="">8</td>
                            <td style="">Latgalians</td>
                            <td style="">100</td>
                    </tr>
    </tbody>        <!-- /Table body -->

        <!-- Table footer -->
        
        <!-- /Table footer -->
    </table>

</div><style>
table.wpDataTable td.numdata { text-align: right !important; }
</style>
<style>
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tfoot td {
	color: #010101 !important;
}

/* even rows background color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.has-columns-hidden tr.row-detail > td {
	background-color: #03A9F438 !important;
}
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead tr:nth-child(2) th {
	overflow: visible;
}
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-family: Arial, Helvetica, sans-serif !important;
}
/* table font size */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-size:10px !important;
}
 
</style>
<style>
</style>
<style>
        /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-86 thead th,
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-86 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-86 thead th,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-86 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-86 tfoot td {
        color: #010101 !important;
    }
                            
                                /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-86,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-86 {
        font-family: Arial, Helvetica, sans-serif !important;
    }
                
                </style>




<p class="has-small-font-size">Source: McNab, Chris. “Hitler’s Masterplan.” Editor: Spilling, Michael, Amber Books, 2011, Page 85</p>



<h2 class="wp-block-heading has-larger-font-size" id="other-world-war-2-civilian-and-military-death-data">Other World War 2 Civilian and Military Death Data</h2>



<p><a href="/world-war-2-total-civilian-and-military-deaths/">World War 2 Total Civilian and Military Deaths</a></p>



<p><a href="/ussr-world-war-2-deaths/">USSR World War 2 Deaths by Republic</a></p>



<p><a href="https://www.dhm.de/lemo/kapitel/der-zweite-weltkrieg/kriegsverlauf/ueberfall-auf-die-sowjetunion-1941.html" data-type="link" data-id="https://www.dhm.de/lemo/kapitel/der-zweite-weltkrieg/kriegsverlauf/ueberfall-auf-die-sowjetunion-1941.html" target="_blank" rel="noopener">The attack on the Soviet Union</a> </p>



<p class="has-small-font-size">This website, ww2data.com, has no responsibility for the persistence or accuracy of URLs for external or third-party internet websites referenced.  Nor does ww2data.com guarantee that any content on such websites is accurate or will remain accurate.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://ww2data.com/ethnic-groups-targeted-for-expulsion-by-germany/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>German Population 1919-40</title>
		<link>https://ww2data.com/german-population-1919-40/</link>
					<comments>https://ww2data.com/german-population-1919-40/#respond</comments>
		
		<dc:creator><![CDATA[Mike Guina]]></dc:creator>
		<pubDate>Sun, 23 Oct 2022 17:41:14 +0000</pubDate>
				<category><![CDATA[Demographics]]></category>
		<category><![CDATA[Germany]]></category>
		<guid isPermaLink="false">https://ww2data.com/?p=1229</guid>

					<description><![CDATA[Germany’s population post The Great War averaged year-over-year growth of 0.4% between 1919 and 1937. However, with the annexations of Austria, Sudetenland, and the Czechoslovak Republic the 1938-40 average year-over-year growth was 13.1%. The period between World War I and World War II witnessed significant demographic changes in the German population. These changes were influenced [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>Germany’s population post The Great War averaged year-over-year growth of 0.4% between 1919 and 1937. However, with the annexations of Austria, Sudetenland, and the Czechoslovak Republic the 1938-40 average year-over-year growth was 13.1%. The period between World War I and World War II witnessed significant demographic changes in the German population. These changes were influenced by various factors, including the aftermath of the Great War, territorial annexations, and political developments. However, it was the annexations in the late 1930s that was the real driver of population growth. This article explores the fluctuations in Germany&#8217;s population from 1919 to 1940, shedding light on the key events and circumstances that shaped these demographic trends. </p>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="526" src="/wp-content/uploads/2022/10/1172_102322-1024x526.png" alt="German Population 1919-40" class="wp-image-1230" srcset="https://ww2data.com/wp-content/uploads/2022/10/1172_102322-1024x526.png 1024w, https://ww2data.com/wp-content/uploads/2022/10/1172_102322-300x154.png 300w, https://ww2data.com/wp-content/uploads/2022/10/1172_102322-768x394.png 768w, https://ww2data.com/wp-content/uploads/2022/10/1172_102322-1536x789.png 1536w, https://ww2data.com/wp-content/uploads/2022/10/1172_102322-2048x1051.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Annexation drove significant population growth in the late 1930s.</figcaption></figure>



<p class="has-small-font-size">The above graph can be downloaded as an image.</p>



<div class="wp-block-rank-math-toc-block" id="rank-math-toc" id="rank-math-toc"><h2>Table of Contents</h2><nav><ul><li ><a href="#pre-world-war-i-1910-german-population">Pre-World War I: 1910 German Population</a></li><li ><a href="#post-world-war-i-german-population">Post-World War I German Population</a><ul><li ><a href="#the-impact-of-the-great-war">The Impact of the Great War</a></li><li ><a href="#1939-census-growth-by-annexation">1939 Census: Growth by Annexation</a><ul><li ><a href="#1-annexations">1. Annexations:</a><ul></ul></li><li ><a href="#2-appeasement">2. Appeasement:</a></li></ul></li></ul></li><li ><a href="#summary">Summary</a></li><li ><a href="#german-population-1919-40-data">German Population 1919-40 Data</a></li><li ><a href="#other-population-and-demographic-data">Other Population and Demographic Data</a></li></ul></nav></div>



<h2 class="wp-block-heading" id="pre-world-war-i-1910-german-population">Pre-World War I: 1910 German Population</h2>



<p>At the outset of the 20th century, Germany&#8217;s population as indicated by the 1910 census, recorded 64,925,993 people. This period was characterized by rapid industrialization and urbanization, with Germany becoming one of Europe&#8217;s leading economic and military powers.</p>



<h2 class="wp-block-heading" id="post-world-war-i-german-population">Post-World War I German Population</h2>



<h3 class="wp-block-heading" id="the-impact-of-the-great-war">The Impact of the Great War</h3>



<p>Following the devastation of World War I, Germany experienced a decline in its population. The 1919 census revealed a population of 60,898,584, reflecting the toll of the conflict on both military and civilian lives. Additionally, Germany ceded territories such as the northern section of the Schleswig Plebiscites to Denmark. The aftermath of the war brought severe economic challenges, political instability, and social unrest, all of which contributed to this demographic downturn.</p>



<h3 class="wp-block-heading" id="1939-census-growth-by-annexation">1939 Census: Growth by Annexation</h3>



<p>By 1939, as Europe once again teetered on the brink of war, Germany&#8217;s population had rebounded significantly. The census of that year recorded a population of 79,375,281, signifying a substantial increase compared to the post-World War I period. Several factors contributed to this population growth:</p>



<h4 class="wp-block-heading" id="1-annexations">1. Annexations:</h4>



<p>Germany&#8217;s territorial expansion played a pivotal role in its population increase. The annexation of neighboring regions contributed substantial numbers to the German population. Notable annexations included:</p>



<h5 class="wp-block-heading" id="a-the-federal-state-of-austria-anschluss">a. The Federal State of Austria (Anschluss):</h5>



<p>On 12 March 1938, Germany annexed Austria in an event known as the Anschluss. This union created a &#8220;Greater Germany&#8221; and integrated Austria&#8217;s population into the Reich. The annexation of Austria was a significant factor in the population surge of 1939.</p>



<h5 class="wp-block-heading" id="b-sudetenland">b. Sudetenland:</h5>



<p>The German annexation of the Sudetenland in 1938, a region of Czechoslovakia with a significant German-speaking population, further contributed to the demographic growth of Germany. This annexation was achieved through diplomatic agreements, notably the Munich Agreement, which followed the policy of appeasement.</p>



<h5 class="wp-block-heading" id="c-protectorate-of-bohemia-and-moravia">c. Protectorate of Bohemia and Moravia:</h5>



<p>Following the disintegration of Czechoslovakia, Germany established the Protectorate of Bohemia and Moravia in 1939, incorporating these territories into its sphere of influence.</p>



<h4 class="wp-block-heading has-large-font-size" id="2-appeasement">2. Appeasement:</h4>



<p>The policy of appeasement pursued by Western powers in response to Germany&#8217;s territorial ambitions allowed for the annexations to occur relatively peacefully, further fueling the demographic growth.</p>



<p>These annexations expanded the geographic reach of Nazi Germany and added significant populations to its ranks, contributing to the population figures of the 1939 census.</p>



<h2 class="wp-block-heading" id="summary">Summary</h2>



<p>Germany&#8217;s population between 1919 and 1940 experienced fluctuations influenced by the aftermath of World War I, territorial annexations, and geopolitical developments. The population growth of 1939 was closely tied to the annexations of Austria, the Sudetenland, and the establishment of the Protectorate of Bohemia and Moravia, all of which reshaped the demographic landscape of Nazi Germany during this critical period of European history.</p>



<h2 class="wp-block-heading has-larger-font-size" id="german-population-1919-40-data">German Population 1919-40 Data</h2>



<p class="has-small-font-size">To download the data shown below from which the graph was developed click on the icon below corresponding to you desired format. Note: to ensure all data is downloaded choose the &#8216;All&#8217; selection in the Show Entries dropdown list. Otherwise only the data visible on the screen will download.</p>



<div class="wpdt-c wdt-skin-light">
    
<input type="hidden" id="wdtNonceFrontendEdit_83" name="wdtNonceFrontendEdit_83" value="84316472e6" /><input type="hidden" name="_wp_http_referer" value="/category/other-ww2-data/demographics/feed/" />    <input type="hidden" id="table_4_desc"
           value='{"tableId":"table_4","tableType":"manual","selector":"#table_4","responsive":true,"responsiveAction":"icon","editable":false,"inlineEditing":false,"infoBlock":true,"pagination":1,"paginationAlign":"right","paginationLayout":"full_numbers","paginationLayoutMobile":"simple","file_location":"","tableSkin":"light","scrollable":false,"globalSearch":true,"showRowsPerPage":true,"popoverTools":false,"hideBeforeLoad":true,"number_format":2,"decimalPlaces":1,"spinnerSrc":"https:\/\/ww2data.com\/wp-content\/plugins\/wpdatatables\/assets\/\/img\/spinner.gif","groupingEnabled":false,"tableWpId":83,"dataTableParams":{"sDom":"BT\u003C\u0027clear\u0027\u003Elftip","bSortCellsTop":false,"bFilter":true,"bPaginate":true,"sPaginationType":"full_numbers","aLengthMenu":[[1,5,10,25,50,100,-1],[1,5,10,25,50,100,"All"]],"iDisplayLength":10,"columnDefs":[{"sType":"formatted-num","wdtType":"int","bVisible":false,"orderable":true,"searchable":true,"InputType":"text","name":"wdt_ID","origHeader":"wdt_ID","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdt_id","aTargets":[0]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"year","origHeader":"year","notNull":false,"conditionalFormattingRules":[],"className":" column-year","aTargets":[1]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"population","origHeader":"population","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-population","aTargets":[2]}],"bAutoWidth":false,"order":[[0,"asc"]],"ordering":true,"fixedHeader":{"header":false,"headerOffset":0},"fixedColumns":false,"buttons":[{"extend":"print","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_print","title":"German Population 1919-40","text":"Print"},{"extend":"excelHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_xls","filename":"German Population 1919-40","title":"German Population 1919-40","text":"Excel"},{"extend":"csvHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_csv","title":"German Population 1919-40","text":"CSV"},{"extend":"copyHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_copy","filename":"German Population 1919-40","title":"German Population 1919-40","text":"Copy"},{"extend":"pdfHtml5","exportOptions":{"columns":":visible"},"className":"DTTT_button DTTT_button_pdf","orientation":"portrait","pageSize":"LETTER","title":"German Population 1919-40","text":"PDF"}],"oLanguage":{"sSearchPlaceholder":""},"bProcessing":false,"serverSide":true,"ajax":{"url":"https:\/\/ww2data.com\/wp-admin\/admin-ajax.php?action=get_wdtable&table_id=83","type":"POST"},"oSearch":{"bSmart":false,"bRegex":false,"sSearch":""}},"tabletWidth":"1450","mobileWidth":"480","renderFilter":"header","advancedFilterEnabled":false,"serverSide":true,"autoRefreshInterval":0,"processing":true,"fnServerData":true,"columnsFixed":0,"sumFunctionsLabel":"","avgFunctionsLabel":"","minFunctionsLabel":"","maxFunctionsLabel":"","columnsDecimalPlaces":{"wdt_ID":-1,"year":-1,"population":-1},"columnsThousandsSeparator":{"wdt_ID":0,"population":1},"sumColumns":[],"avgColumns":[],"sumAvgColumns":[],"timeFormat":"h:i A","datepickFormat":"mm\/dd\/yy"}'/>

    <table id="table_4"
           class="  responsive display nowrap data-t data-t wpDataTable wpDataTableID-83"
           style="display: none; "
           data-described-by='table_4_desc'
           data-wpdatatable_id="83">
        
        <!-- Table header -->
        
<thead>
<tr>
                    <th
                        class=" wdtheader sort numdata integer "
        style="">wdt_ID</th>        <th
        data-class="expand"                class=" wdtheader sort "
        style="">Year</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">Population</th>    </tr>
</thead>
        <!-- /Table header -->

        <!-- Table body -->
        
<tbody>
            <tr id="table_83_row_0">
                            <td style="">1</td>
                            <td style="">1919</td>
                            <td style="">62,897,000</td>
                    </tr>
                <tr id="table_83_row_1">
                            <td style="">2</td>
                            <td style="">1920</td>
                            <td style="">61,797,000</td>
                    </tr>
                <tr id="table_83_row_2">
                            <td style="">3</td>
                            <td style="">1921</td>
                            <td style="">62,469,000</td>
                    </tr>
                <tr id="table_83_row_3">
                            <td style="">4</td>
                            <td style="">1922</td>
                            <td style="">62,035,000</td>
                    </tr>
                <tr id="table_83_row_4">
                            <td style="">5</td>
                            <td style="">1923</td>
                            <td style="">62,450,000</td>
                    </tr>
                <tr id="table_83_row_5">
                            <td style="">6</td>
                            <td style="">1924</td>
                            <td style="">62,486,000</td>
                    </tr>
                <tr id="table_83_row_6">
                            <td style="">7</td>
                            <td style="">1925</td>
                            <td style="">63,177,000</td>
                    </tr>
                <tr id="table_83_row_7">
                            <td style="">8</td>
                            <td style="">1926</td>
                            <td style="">63,464,000</td>
                    </tr>
                <tr id="table_83_row_8">
                            <td style="">9</td>
                            <td style="">1927</td>
                            <td style="">64,023,000</td>
                    </tr>
                <tr id="table_83_row_9">
                            <td style="">10</td>
                            <td style="">1928</td>
                            <td style="">64,739,000</td>
                    </tr>
    </tbody>        <!-- /Table body -->

        <!-- Table footer -->
        
        <!-- /Table footer -->
    </table>

</div><style>
table.wpDataTable td.numdata { text-align: right !important; }
</style>
<style>
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tfoot td {
	color: #010101 !important;
}

/* even rows background color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.has-columns-hidden tr.row-detail > td {
	background-color: #03A9F438 !important;
}
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead tr:nth-child(2) th {
	overflow: visible;
}
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-family: Arial, Helvetica, sans-serif !important;
}
/* table font size */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-size:10px !important;
}
 
</style>
<style>
</style>
<style>
        /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-83 thead th,
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-83 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-83 thead th,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-83 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-83 tfoot td {
        color: #010101 !important;
    }
                            
                                /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-83,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-83 {
        font-family: Arial, Helvetica, sans-serif !important;
    }
                
                </style>




<p class="has-small-font-size">*Data not available for 1929</p>



<p class="has-small-font-size">Source: McNab, Chris. “Hitler’s Masterplan.” Editor: Spilling, Michael, Amber Books, 2011, Page 56</p>



<h2 class="wp-block-heading has-larger-font-size" id="other-population-and-demographic-data">Other Population and Demographic Data</h2>



<p><a href="/world-population-by-country-by-alignment-1939/" data-type="link" data-id="https://ww2data.com/world-population-by-country-by-alignment-1939/">World Population by Country by Alignment – 1939</a></p>



<p><a href="https://en.wikipedia.org/wiki/Census_in_Germany" data-type="link" data-id="https://en.wikipedia.org/wiki/Census_in_Germany" target="_blank" rel="noopener">Census in Germany</a></p>



<p class="has-small-font-size">This website, ww2data.com, has no responsibility for the persistence or accuracy of URLs for external or third-party internet websites referenced.  Nor does ww2data.com guarantee that any content on such websites is accurate or will remain accurate.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://ww2data.com/german-population-1919-40/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Nazi Party Men Women Composition</title>
		<link>https://ww2data.com/nazi-party-men-women-composition/</link>
					<comments>https://ww2data.com/nazi-party-men-women-composition/#respond</comments>
		
		<dc:creator><![CDATA[Mike Guina]]></dc:creator>
		<pubDate>Fri, 21 Oct 2022 20:00:18 +0000</pubDate>
				<category><![CDATA[Social]]></category>
		<category><![CDATA[Demographics]]></category>
		<category><![CDATA[Germany]]></category>
		<guid isPermaLink="false">https://ww2data.com/?p=1181</guid>

					<description><![CDATA[The Nationalsozialistische Deutsche Arbeiterpartei (NSDAP), commonly known as the Nazi Party, was the political organization in Germany that played a pivotal role in the rise of Adolf Hitler and the establishment of the Third Reich. The composition of the NSDAP was predominantly male, reflecting the gender dynamics of the time and the party&#8217;s ideology, which [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>The Nationalsozialistische Deutsche Arbeiterpartei (NSDAP), commonly known as the Nazi Party, was the political organization in Germany that played a pivotal role in the rise of Adolf Hitler and the establishment of the Third Reich. The composition of the NSDAP was predominantly male, reflecting the gender dynamics of the time and the party&#8217;s ideology, which placed men in positions of power and authority.</p>



<p>The NSDAP was always a male-dominated organization. But from the mid-1930s until the end of the war a steady increase occurred in doubling female membership rate. Even at the peak of female membership, the males retained a 2:1 ratio.</p>



<figure class="wp-block-image size-large is-resized"><img loading="lazy" decoding="async" src="/assets/archive-image-unavailable.svg" alt="Nazi Party Men Women Composition" style="width:955px;height:492px" width="955" height="492"/><figcaption class="wp-element-caption">The makeup of men and women membership within the Nazi Party 1925 through 1945.</figcaption></figure>



<p class="has-small-font-size">The above graph can be downloaded as an image.&nbsp;&nbsp;</p>



<div class="wp-block-rank-math-toc-block" id="rank-math-toc" id="rank-math-toc"><h2>Table of Contents</h2><nav><ul><li ><a href="#nazi-party-membership">Nazi Party Membership</a></li><li ><a href="#women-in-the-nazi-party">Women in the Nazi Party</a><ul><li ><a href="#party-roles">Party Roles</a></li><li ><a href="#notable-women-nazi-members">Notable Women Nazi Members</a><ul><li ><a href="#eva-braun">Eva Braun</a></li><li ><a href="#magda-goebbels">Magda Goebbels</a></li><li ><a href="#margarete-himmler">Margarete Himmler</a></li><li ><a href="#lina-heydrich">Lina Heydrich</a></li></ul></li><li ><a href="#women-nazi-members-of-influence">Women Nazi Members of Influence</a><ul><li ><a href="#gertrud-scholtz-klink">Gertrud Scholtz-Klink</a></li><li ><a href="#leni-riefenstahl">Leni Riefenstahl</a></li></ul></li></ul></li><li ><a href="#conclusion">Conclusion</a></li><li ><a href="#nazi-party-men-women-composition-data">Nazi Party Men Women Composition Data</a></li><li ><a href="#other-data-links">Other Data Links</a></li></ul></nav></div>



<h2 class="wp-block-heading has-larger-font-size" id="nazi-party-membership">Nazi Party Membership</h2>



<p>According to historical records and accounts from Chris McNab&#8217;s book, &#8220;Hitler&#8217;s Masterplan,&#8221; the NSDAP was primarily composed of male members. The party&#8217;s leadership, including top officials, officers, and influential figures, was overwhelmingly male. Hitler himself was the driving force behind the party&#8217;s ideology and policies, which often emphasized traditional gender roles and the importance of male leadership in both the political and social spheres.</p>



<p>In 1925, male members constituted 82% of the Nazi party, while female membership stood at 18%. By 1935, the male percentage reached its zenith at 94%, with women comprising only 6% of the party&#8217;s members. As the eve of World War II approached in 1939, men represented 81% of the party, while women made up 19%. However, by the conclusion of the war in 1945, the male contingent decreased to 63%, while women accounted for 37% of the Nazi party&#8217;s membership. The overall growth of the Nazi party&#8217;s membership was remarkable, starting from 850,000 in 1935 and escalating to 5.3 million at the beginning of the war in 1939, eventually peaking at a staggering 8 million members in 1945.</p>



<h2 class="wp-block-heading has-larger-font-size" id="women-in-the-nazi-party">Women in the Nazi Party</h2>



<h3 class="wp-block-heading has-large-font-size" id="party-roles">Party Roles</h3>



<p>While the NSDAP did have female members, their role within the party was largely confined to supportive and auxiliary functions. Women in Nazi Germany were encouraged to embrace their roles as wives and mothers, adhering to the regime&#8217;s emphasis on family values and procreation. The party&#8217;s stance on gender roles reflected a deeply conservative and patriarchal worldview, where men were seen as the primary providers and protectors of the state.</p>



<p>The role of women within the NSDAP extended to organizations like the National Socialist Women&#8217;s League (NS-Frauenschaft), which promoted Nazi ideals and encouraged women to support their husbands and families. The NS-Frauenschaft also organized women&#8217;s activities and events that aligned with the party&#8217;s objectives, such as charitable work and pro-Nazi propaganda.</p>



<h3 class="wp-block-heading has-large-font-size" id="notable-women-nazi-members">Notable Women Nazi Members</h3>



<p>While the NSDAP had male and female members, the party&#8217;s leadership and core ideology were firmly rooted in male dominance and authority. This gender composition reflected the broader social and political landscape of Nazi Germany, where traditional gender roles were reinforced, and women were encouraged to play a supportive role in the service of the Nazi state.</p>



<p>Many of the well-known women in the Nazi Party were primarily associated with the leadership and inner circles due to their relationships with prominent male figures within the party. Notable examples include:</p>



<h4 class="wp-block-heading has-normal-font-size" id="eva-braun">Eva Braun</h4>



<p>As Adolf Hitler&#8217;s long-time companion and, ultimately, wife, Eva Braun had a prominent but largely behind-the-scenes role in the Nazi regime. She is best known for her personal relationship with Hitler and her presence in photographs and films taken within Hitler&#8217;s inner circle.</p>



<h4 class="wp-block-heading has-normal-font-size" id="magda-goebbels">Magda Goebbels</h4>



<p>Magda Goebbels, the wife of Joseph Goebbels, the Nazi propaganda minister, was a prominent figure within the Nazi leadership. Her loyalty to Hitler and the party was unwavering, and she played a significant role in promoting Nazi ideals through her association with her husband.</p>



<h4 class="wp-block-heading has-normal-font-size" id="margarete-himmler">Margarete Himmler</h4>



<p>Margarete Himmler was the wife of Heinrich Himmler, one of the most powerful figures in Nazi Germany and the head of the SS. Although her public role was limited, her marriage to Himmler placed her in a position of influence within the Nazi elite.</p>



<h4 class="wp-block-heading has-normal-font-size" id="lina-heydrich">Lina Heydrich</h4>



<p>Lina Heydrich was the wife of high-ranking SS officer Reinhard Heydrich, known for his key role in planning the Holocaust. While not as well-known as some other Nazi women, her husband&#8217;s prominence elevated her within the Nazi social circles.</p>



<h3 class="wp-block-heading has-large-font-size" id="women-nazi-members-of-influence">Women Nazi Members of Influence</h3>



<p>Beyond these figures, there were other notable women in the Nazi Party who held positions of authority or influence:</p>



<h4 class="wp-block-heading has-normal-font-size" id="gertrud-scholtz-klink">Gertrud Scholtz-Klink</h4>



<p>Gertrud Scholtz-Klink served as the leader of the NS-Frauenschaft (National Socialist Women&#8217;s League), a Nazi women&#8217;s organization. In this role, she promoted Nazi ideals of motherhood, domesticity, and the subordination of women to the needs of the state. Scholtz-Klink played a significant role in reinforcing traditional gender roles within Nazi Germany.</p>



<h4 class="wp-block-heading has-normal-font-size" id="leni-riefenstahl">Leni Riefenstahl</h4>



<p>Leni Riefenstahl was a renowned filmmaker and actress who produced propaganda films for the Nazi regime, most notably the documentary &#8220;Triumph of the Will&#8221; and &#8220;Olympia.&#8221; While her work was celebrated for its cinematic innovation, it also served as a powerful tool for Nazi propaganda, promoting the image of a strong and unified Germany under Hitler&#8217;s leadership.</p>



<h2 class="wp-block-heading has-larger-font-size" id="conclusion">Conclusion</h2>



<p>Men and women played distinctive roles in the Nazi Party. Men had and maintained leadership in both the political and social spheres within the Nazi Party. Women, whether through their personal relationships with Nazi leaders or their roles in promoting Nazi ideology, played various roles within the Nazi Party and contributed to the dissemination of its ideals, albeit within the constraints of the regime&#8217;s deeply patriarchal structure.</p>



<h2 class="wp-block-heading has-larger-font-size" id="nazi-party-men-women-composition-data">Nazi Party Men Women Composition Data</h2>



<p class="has-small-font-size">To download the data shown below from which the graph was developed click on the icon below corresponding to you desired format. Note: to ensure all data is downloaded choose the &#8216;All&#8217; selection in the Show Entries dropdown list. Otherwise only the data visible on the screen will download.</p>



<div class="wpdt-c wdt-skin-light">
    
<input type="hidden" id="wdtNonceFrontendEdit_75" name="wdtNonceFrontendEdit_75" value="f94bab6915" /><input type="hidden" name="_wp_http_referer" value="/category/other-ww2-data/demographics/feed/" />    <input type="hidden" id="table_5_desc"
           value='{"tableId":"table_5","tableType":"manual","selector":"#table_5","responsive":true,"responsiveAction":"icon","editable":false,"inlineEditing":false,"infoBlock":true,"pagination":1,"paginationAlign":"right","paginationLayout":"full_numbers","paginationLayoutMobile":"simple","file_location":"","tableSkin":"light","scrollable":false,"globalSearch":true,"showRowsPerPage":true,"popoverTools":false,"hideBeforeLoad":true,"number_format":2,"decimalPlaces":1,"spinnerSrc":"https:\/\/ww2data.com\/wp-content\/plugins\/wpdatatables\/assets\/\/img\/spinner.gif","groupingEnabled":false,"tableWpId":75,"dataTableParams":{"sDom":"BT\u003C\u0027clear\u0027\u003Elftip","bSortCellsTop":false,"bFilter":true,"bPaginate":true,"sPaginationType":"full_numbers","aLengthMenu":[[1,5,10,25,50,100,-1],[1,5,10,25,50,100,"All"]],"iDisplayLength":10,"columnDefs":[{"sType":"formatted-num","wdtType":"int","bVisible":false,"orderable":true,"searchable":true,"InputType":"text","name":"wdt_ID","origHeader":"wdt_ID","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdt_id","aTargets":[0]},{"sType":"date-custom","wdtType":"date","bVisible":true,"orderable":true,"searchable":true,"InputType":"date","name":"year","origHeader":"year","notNull":false,"conditionalFormattingRules":[],"className":" column-year","aTargets":[1]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"male","origHeader":"male","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-male","aTargets":[2]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"female","origHeader":"female","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-female","aTargets":[3]}],"bAutoWidth":false,"order":[[0,"asc"]],"ordering":true,"fixedHeader":{"header":false,"headerOffset":0},"fixedColumns":false,"buttons":[{"extend":"print","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_print","title":"Male and Female Composition of the NSDAP","text":"Print"},{"extend":"excelHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_xls","filename":"Male and Female Composition of the NSDAP","title":"Male and Female Composition of the NSDAP","text":"Excel"},{"extend":"csvHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_csv","title":"Male and Female Composition of the NSDAP","text":"CSV"},{"extend":"copyHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_copy","filename":"Male and Female Composition of the NSDAP","title":"Male and Female Composition of the NSDAP","text":"Copy"},{"extend":"pdfHtml5","exportOptions":{"columns":":visible"},"className":"DTTT_button DTTT_button_pdf","orientation":"portrait","pageSize":"LETTER","title":"Male and Female Composition of the NSDAP","text":"PDF"}],"oLanguage":{"sSearchPlaceholder":""},"bProcessing":false,"serverSide":true,"ajax":{"url":"https:\/\/ww2data.com\/wp-admin\/admin-ajax.php?action=get_wdtable&table_id=75","type":"POST"},"oSearch":{"bSmart":false,"bRegex":false,"sSearch":""}},"tabletWidth":"1450","mobileWidth":"480","renderFilter":"header","advancedFilterEnabled":false,"serverSide":true,"autoRefreshInterval":0,"processing":true,"fnServerData":true,"columnsFixed":0,"sumFunctionsLabel":"","avgFunctionsLabel":"","minFunctionsLabel":"","maxFunctionsLabel":"","columnsDecimalPlaces":{"wdt_ID":-1,"year":-1,"male":-1,"female":-1},"columnsThousandsSeparator":{"wdt_ID":0,"male":1,"female":1},"sumColumns":[],"avgColumns":[],"sumAvgColumns":[],"timeFormat":"h:i A","datepickFormat":"mm\/dd\/yy"}'/>

    <table id="table_5"
           class="  responsive display nowrap data-t data-t wpDataTable wpDataTableID-75"
           style="display: none; "
           data-described-by='table_5_desc'
           data-wpdatatable_id="75">
        
        <!-- Table header -->
        
<thead>
<tr>
                    <th
                        class=" wdtheader sort numdata integer "
        style="">wdt_ID</th>        <th
        data-class="expand"                class=" wdtheader sort "
        style="">Year</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">Male Percentage</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">Female Percentage</th>    </tr>
</thead>
        <!-- /Table header -->

        <!-- Table body -->
        
<tbody>
            <tr id="table_75_row_0">
                            <td style="">1</td>
                            <td style="">10/21/2022</td>
                            <td style="">82</td>
                            <td style="">18</td>
                    </tr>
                <tr id="table_75_row_1">
                            <td style="">2</td>
                            <td style="">10/21/2022</td>
                            <td style="">94</td>
                            <td style="">6</td>
                    </tr>
                <tr id="table_75_row_2">
                            <td style="">3</td>
                            <td style="">10/21/2022</td>
                            <td style="">81</td>
                            <td style="">19</td>
                    </tr>
                <tr id="table_75_row_3">
                            <td style="">4</td>
                            <td style="">10/21/2022</td>
                            <td style="">63</td>
                            <td style="">37</td>
                    </tr>
    </tbody>        <!-- /Table body -->

        <!-- Table footer -->
        
        <!-- /Table footer -->
    </table>

</div><style>
table.wpDataTable td.numdata { text-align: right !important; }
</style>
<style>
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tfoot td {
	color: #010101 !important;
}

/* even rows background color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.has-columns-hidden tr.row-detail > td {
	background-color: #03A9F438 !important;
}
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead tr:nth-child(2) th {
	overflow: visible;
}
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-family: Arial, Helvetica, sans-serif !important;
}
/* table font size */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-size:10px !important;
}
 
</style>
<style>
</style>
<style>
        /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-75 thead th,
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-75 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-75 thead th,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-75 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-75 tfoot td {
        color: #010101 !important;
    }
                            
                                /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-75,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-75 {
        font-family: Arial, Helvetica, sans-serif !important;
    }
                
                </style>




<p class="has-small-font-size">Source: McNab, Chris. “Hitler’s Masterplan.” Editor: Spilling, Michael, Amber Books, 2011, Page 23</p>



<h2 class="wp-block-heading has-larger-font-size" id="other-data-links">Other Data Links</h2>



<p><a href="/world-population-by-country-by-alignment-1939/" data-type="link" data-id="https://ww2data.com/world-population-by-country-by-alignment-1939/">World Population by Country by Alignment – 1939</a></p>



<p><a href="https://en.wikipedia.org/wiki/Women_in_Nazi_Germany" data-type="link" data-id="https://en.wikipedia.org/wiki/Women_in_Nazi_Germany" target="_blank" rel="noopener">Women in Nazi Germany</a></p>



<p class="has-small-font-size">This website, ww2data.com, has no responsibility for the persistence or accuracy of URLs for external or third-party internet websites referenced.&nbsp;&nbsp;Nor does ww2data.com guarantee that any content on such websites is accurate or will remain accurate.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://ww2data.com/nazi-party-men-women-composition/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>UK Armed Forces Men and Women 1939-45</title>
		<link>https://ww2data.com/uk-armed-forces-men-and-women-1939-45/</link>
					<comments>https://ww2data.com/uk-armed-forces-men-and-women-1939-45/#respond</comments>
		
		<dc:creator><![CDATA[Mike Guina]]></dc:creator>
		<pubDate>Fri, 21 Oct 2022 07:53:32 +0000</pubDate>
				<category><![CDATA[Demographics]]></category>
		<category><![CDATA[Allies]]></category>
		<category><![CDATA[Great Britain]]></category>
		<guid isPermaLink="false">https://ww2data.com/?p=1117</guid>

					<description><![CDATA[At the onset of World War II, the United Kingdom recognized the need to rapidly expand its armed forces to confront the growing threats posed by Nazi Germany and Japan. The strength of the British Army, Royal Navy, and Royal Air Force underwent significant changes during this tumultuous period. From 1939 to 1945 the UK’s [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>At the onset of World War II, the United Kingdom recognized the need to rapidly expand its armed forces to confront the growing threats posed by Nazi Germany and Japan. The strength of the British Army, Royal Navy, and Royal Air Force underwent significant changes during this tumultuous period. From 1939 to 1945 the UK’s armed forces increased from 480,000 to 5,090,000 personnel. Women armed forces members went from virtually nonexistent to 467,000.  </p>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="616" src="/wp-content/uploads/2022/12/1025_062722-150x150.png" alt="UK Armed Forces Men and Women 1939-45" class="wp-image-3718" srcset="https://ww2data.com/wp-content/uploads/2022/12/1025_062722-150x150.png 1024w, https://ww2data.com/wp-content/uploads/2022/12/1025_062722-300x180.png 300w, https://ww2data.com/wp-content/uploads/2022/12/1025_062722-768x462.png 768w, https://ww2data.com/wp-content/uploads/2022/12/1025_062722-1536x924.png 1536w, https://ww2data.com/wp-content/uploads/2022/12/1025_062722-2048x1232.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">From 1939 to 1945 the UK’s armed forces increased from 480,000 to 5,090,000 personnel. Women armed forces members went from virtually nonexistent to 467,000.  </figcaption></figure>



<p class="has-small-font-size">The above graph can be downloaded as an image.</p>



<div class="wp-block-rank-math-toc-block has-large-font-size" id="rank-math-toc" id="rank-math-toc"><h2>Table of Contents</h2><nav><ul><li ><a href="#prewar-and-early-war-mobilization">Prewar and Early-war Mobilization</a></li><li ><a href="#conscription">Conscription</a></li><li ><a href="#women-in-the-military">Women in the Military</a></li><li ><a href="#uk-mobilization-versus-other-countries">UK Mobilization versus Other Countries</a></li><li ><a href="#uk-armed-forces-men-and-women-1939-45-data">UK Armed Forces Men and Women 1939-45 Data</a></li><li ><a href="#other-manpower-data-links">Other Manpower Data Links</a></li></ul></nav></div>



<h2 class="wp-block-heading has-large-font-size" id="prewar-and-early-war-mobilization">Prewar and Early-war Mobilization</h2>



<p>In the prewar and early-war years, the British armed forces comprised a considerably smaller number of personnel than Germany’s 4.2 million in 1940. The data from W.K Hancock &amp; M.M. Gowing’s “British War Economy” Chapter V, Page 137 provides insight into the evolving numbers of personnel within each service branch. In June 1939, the British armed forces had a combined total of approximately 480,000 personnel. This number included men and women across all service branches. As the war progressed, the need for additional personnel became increasingly evident.</p>



<h2 class="wp-block-heading has-larger-font-size" id="conscription">Conscription</h2>



<p>The British Army, Royal Navy, and Royal Air Force saw growth in their manpower as the nation prepared for the challenges of the war. Conscription played a pivotal role in bolstering the armed forces. The Military Training Act of 1939 and the National Service (Armed Forces) Act of 1939 provided the legal framework for conscripting eligible men into military service. </p>



<p>Conscription significantly increased the size of the British armed forces, ensuring a steady influx of personnel and enforcing full conscription on all male British subjects between 18 and 41. Additionally, the conscription acts allowed conscription of women although with a far greater number of exceptions than those for men. Such as women who had one or more children 14 years old or younger living with them were exempt from conscription.</p>



<p>By June 1945, as the war entered its final phase, the size of the British armed forces had swelled to approximately 5.1 million personnel. This included both men and women who had answered the call to serve their country.&nbsp;</p>



<h2 class="wp-block-heading has-larger-font-size" id="women-in-the-military">Women in the Military</h2>



<p>One notable aspect of the mobilization effort was the inclusion of women in various military roles. Prewar there were nearly zero women serving in the British Armed Forces and by D-Day, there were nearly half a million.  </p>



<p>The Auxiliary Territorial Service (ATS) played a crucial role in this regard, with women serving in a wide range of positions. Princess Elizabeth, the future Queen Elizabeth II, also contributed to the war effort by serving in the ATS. Her involvement exemplified the commitment of the British royal family to the nation&#8217;s cause during this critical time.</p>



<h2 class="wp-block-heading has-larger-font-size" id="uk-mobilization-versus-other-countries">UK Mobilization versus Other Countries</h2>



<p>A comparative analysis of mobilization efforts reveals that Great Britain&#8217;s commitment to mobilizing personnel was substantial. When compared to other countries involved in World War II, the United Kingdom&#8217;s efforts to recruit and train military personnel were among the most extensive. The scale of mobilization reflected the nation&#8217;s determination to defend its interests and contribute to the Allied cause in the global conflict. Both the United Kingdom and the United States mobilized just over 12% of their population into the military.  Whereas the USSR mobilized 20% and Germany 26%.</p>



<p>The UK and US strategically decided they would fight a mechanized war. Politically the democratic nations were more sensitive to manpower casualties than either Germany, Japan, or even the Allied partner, the USSR. Therefore, the UK and US ensured that their factories were mobilized to a greater degree.</p>



<h2 class="wp-block-heading has-larger-font-size" id="uk-armed-forces-men-and-women-1939-45-data">UK Armed Forces Men and Women 1939-45 Data</h2>



<p class="has-small-font-size">To download the data shown below click on the icon below corresponding to you desired format. Note: to ensure all data is downloaded choose the &#8216;All&#8217; selection in the Show Entries dropdown list. Otherwise only the data visible on the screen will download.</p>



<div class="wpdt-c wdt-skin-light">
    
<input type="hidden" id="wdtNonceFrontendEdit_64" name="wdtNonceFrontendEdit_64" value="c3a46d9547" /><input type="hidden" name="_wp_http_referer" value="/category/other-ww2-data/demographics/feed/" />    <input type="hidden" id="table_6_desc"
           value='{"tableId":"table_6","tableType":"manual","selector":"#table_6","responsive":true,"responsiveAction":"icon","editable":false,"inlineEditing":false,"infoBlock":true,"pagination":1,"paginationAlign":"right","paginationLayout":"full_numbers","paginationLayoutMobile":"simple","file_location":"","tableSkin":"light","scrollable":true,"globalSearch":true,"showRowsPerPage":true,"popoverTools":false,"hideBeforeLoad":true,"number_format":2,"decimalPlaces":1,"spinnerSrc":"https:\/\/ww2data.com\/wp-content\/plugins\/wpdatatables\/assets\/\/img\/spinner.gif","groupingEnabled":false,"tableWpId":64,"dataTableParams":{"sDom":"BT\u003C\u0027clear\u0027\u003Elf\u003C\u0027wdtscroll\u0027t\u003Eip","bSortCellsTop":false,"bFilter":true,"bPaginate":true,"sPaginationType":"full_numbers","aLengthMenu":[[1,5,10,25,50,100,-1],[1,5,10,25,50,100,"All"]],"iDisplayLength":10,"columnDefs":[{"sType":"formatted-num","wdtType":"int","bVisible":false,"orderable":true,"searchable":true,"InputType":"text","name":"wdt_ID","origHeader":"wdt_ID","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdt_id","aTargets":[0]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"gender","origHeader":"gender","notNull":false,"conditionalFormattingRules":[],"className":" column-gender","aTargets":[1]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn","origHeader":"wdtcolumn","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdtcolumn","aTargets":[2]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn1","origHeader":"wdtcolumn1","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdtcolumn1","aTargets":[3]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn2","origHeader":"wdtcolumn2","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdtcolumn2","aTargets":[4]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn3","origHeader":"wdtcolumn3","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdtcolumn3","aTargets":[5]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn4","origHeader":"wdtcolumn4","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdtcolumn4","aTargets":[6]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn5","origHeader":"wdtcolumn5","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdtcolumn5","aTargets":[7]}],"bAutoWidth":false,"order":[[0,"asc"]],"ordering":true,"fixedHeader":{"header":false,"headerOffset":0},"fixedColumns":false,"buttons":[{"extend":"print","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_print","title":"UK Armed Forces Men and Women 1939-45","text":"Print"},{"extend":"excelHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_xls","filename":"UK Armed Forces Men and Women 1939-45","title":"UK Armed Forces Men and Women 1939-45","text":"Excel"},{"extend":"csvHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_csv","title":"UK Armed Forces Men and Women 1939-45","text":"CSV"},{"extend":"copyHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_copy","filename":"UK Armed Forces Men and Women 1939-45","title":"UK Armed Forces Men and Women 1939-45","text":"Copy"},{"extend":"pdfHtml5","exportOptions":{"columns":":visible"},"className":"DTTT_button DTTT_button_pdf","orientation":"portrait","pageSize":"LETTER","title":"UK Armed Forces Men and Women 1939-45","text":"PDF"}],"oLanguage":{"sSearchPlaceholder":""},"bProcessing":false,"serverSide":true,"ajax":{"url":"https:\/\/ww2data.com\/wp-admin\/admin-ajax.php?action=get_wdtable&table_id=64","type":"POST"},"oSearch":{"bSmart":false,"bRegex":false,"sSearch":""}},"tabletWidth":"1450","mobileWidth":"480","renderFilter":"header","advancedFilterEnabled":false,"serverSide":true,"autoRefreshInterval":0,"processing":true,"fnServerData":true,"columnsFixed":0,"sumFunctionsLabel":"","avgFunctionsLabel":"","minFunctionsLabel":"","maxFunctionsLabel":"","columnsDecimalPlaces":{"wdt_ID":-1,"gender":-1,"wdtcolumn":-1,"wdtcolumn1":-1,"wdtcolumn2":-1,"wdtcolumn3":-1,"wdtcolumn4":-1,"wdtcolumn5":-1},"columnsThousandsSeparator":{"wdt_ID":0,"wdtcolumn":1,"wdtcolumn1":1,"wdtcolumn2":1,"wdtcolumn3":1,"wdtcolumn4":1,"wdtcolumn5":1},"sumColumns":[],"avgColumns":[],"sumAvgColumns":[],"timeFormat":"h:i A","datepickFormat":"mm\/dd\/yy"}'/>

    <table id="table_6"
           class=" scroll responsive display nowrap data-t data-t wpDataTable wpDataTableID-64"
           style="display: none; "
           data-described-by='table_6_desc'
           data-wpdatatable_id="64">
        
        <!-- Table header -->
        
<thead>
<tr>
                    <th
                        class=" wdtheader sort numdata integer "
        style="">wdt_ID</th>        <th
        data-class="expand"                class=" wdtheader sort "
        style="">Gender</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">1939</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">1941</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">1942</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">1943</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">1944</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">1945</th>    </tr>
</thead>
        <!-- /Table header -->

        <!-- Table body -->
        
<tbody>
            <tr id="table_64_row_0">
                            <td style="">1</td>
                            <td style="">Total</td>
                            <td style="">480</td>
                            <td style="">3,383</td>
                            <td style="">4,091</td>
                            <td style="">4,762</td>
                            <td style="">4,967</td>
                            <td style="">5,090</td>
                    </tr>
                <tr id="table_64_row_1">
                            <td style="">2</td>
                            <td style="">Men</td>
                            <td style="">480</td>
                            <td style="">3,278</td>
                            <td style="">3,784</td>
                            <td style="">4,300</td>
                            <td style="">4,500</td>
                            <td style="">4,653</td>
                    </tr>
                <tr id="table_64_row_2">
                            <td style="">3</td>
                            <td style="">Women</td>
                            <td style=""></td>
                            <td style="">105</td>
                            <td style="">307</td>
                            <td style="">462</td>
                            <td style="">467</td>
                            <td style="">437</td>
                    </tr>
    </tbody>        <!-- /Table body -->

        <!-- Table footer -->
        
        <!-- /Table footer -->
    </table>

</div><style>
table.wpDataTable td.numdata { text-align: right !important; }
</style>
<style>
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tfoot td {
	color: #010101 !important;
}

/* even rows background color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.has-columns-hidden tr.row-detail > td {
	background-color: #03A9F438 !important;
}
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead tr:nth-child(2) th {
	overflow: visible;
}
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-family: Arial, Helvetica, sans-serif !important;
}
/* table font size */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-size:10px !important;
}
 
</style>
<style>
</style>
<style>
        /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-64 thead th,
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-64 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-64 thead th,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-64 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-64 tfoot td {
        color: #010101 !important;
    }
                            
                                /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-64,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-64 {
        font-family: Arial, Helvetica, sans-serif !important;
    }
                
                </style>




<p class="has-small-font-size">Source: W.K Hancock &amp; M.M. Gowing, “British War Economy.” Chapter V, Page 351, <a href="https://www.ibiblio.org/hyperwar/UN/UK/UK-Civil-WarEcon/UK-Civil-WarEcon-Stats-3.html" target="_blank" rel="noreferrer noopener">https://www.ibiblio.org/hyperwar/UN/UK/UK-Civil-WarEcon/UK-Civil-WarEcon-Stats-3.html</a></p>



<h2 class="wp-block-heading has-larger-font-size" id="other-manpower-data-links">Other Manpower Data Links</h2>



<p><a href="/?s=Comparative+Military+Manpower+Sept+1939">Comparative Military Manpower Sept 1939</a></p>



<p><a href="/military-manpower-by-nation-1940-to-1945/">Military Manpower by Nation 1940 to 1945</a></p>



<p><a href="/german-armed-forces-manpower-by-year/">German Armed Forces Manpower by Year</a></p>



<p class="has-small-font-size">This website, ww2data.com, has no responsibility for the persistence or accuracy of URLs for external or third party internet websites referenced.&nbsp;&nbsp;Nor does ww2data.com guarantee that any content on such websites are accurate or will remain accurate.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://ww2data.com/uk-armed-forces-men-and-women-1939-45/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Great Britain&#8217;s Labor Force 1939-1945</title>
		<link>https://ww2data.com/great-britains-labor-force-1939-1945/</link>
					<comments>https://ww2data.com/great-britains-labor-force-1939-1945/#respond</comments>
		
		<dc:creator><![CDATA[Mike Guina]]></dc:creator>
		<pubDate>Fri, 21 Oct 2022 02:26:33 +0000</pubDate>
				<category><![CDATA[Labor Force]]></category>
		<category><![CDATA[Demographics]]></category>
		<category><![CDATA[Great Britain]]></category>
		<guid isPermaLink="false">https://ww2data.com/?p=1112</guid>

					<description><![CDATA[From 1939 to 1945, Great Britain experienced a substantial surge in employment, with the labor force expanding at its peak by an additional 2.5 million individuals, of which 2.2 million were women. The United Kingdom swiftly tapped into nontraditional labor sources to bolster its wartime economy. Managing the country&#8217;s employment during this period resembled a [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>From 1939 to 1945, Great Britain experienced a substantial surge in employment, with the labor force expanding at its peak by an additional 2.5 million individuals, of which 2.2 million were women. The United Kingdom swiftly tapped into nontraditional labor sources to bolster its wartime economy. Managing the country&#8217;s employment during this period resembled a delicate balancing act, as crises emerged in various industries one after another. All the while, the looming factor of the military&#8217;s escalating manpower demands in 1944 added further complexity to the labor situation. </p>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="592" src="/assets/archive-image-unavailable.svg" alt="Great Britain Labor Force 1939-1945" class="wp-image-4686" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Labor shortages were hampered by Great Britain&#8217;s full employment during the war years.</figcaption></figure>



<p class="has-small-font-size">The above graph can be downloaded as an image.</p>



<div class="wp-block-rank-math-toc-block" id="rank-math-toc" id="rank-math-toc"><h2>Table of Contents</h2><nav><ul><li ><a href="#major-labor-shortages-in-key-industries">Major Labor Shortages in Key Industries</a><ul><li ><a href="#coal-mining">Coal Mining</a></li><li ><a href="#shipbuilding">Shipbuilding</a></li><li ><a href="#aircraft-manufacturing">Aircraft Manufacturing</a></li><li ><a href="#military-services">Military Services</a></li></ul></li><li ><a href="#unemployment-rates">Unemployment Rates</a></li><li ><a href="#mobilization-of-nontraditional-labor-groups">Mobilization of Nontraditional Labor Groups</a><ul><li ><a href="#women">Women</a></li><li ><a href="#men-discharged-from-the-military">Men Discharged from the Military</a></li><li ><a href="#older-men-in-unessential-industries">Older Men in Unessential Industries</a></li><li ><a href="#irish-labor">Irish Labor</a></li><li ><a href="#prisoners-of-war">Prisoners of War</a></li></ul></li><li ><a href="#military-strategic-planning-and-industrial-labor">Military Strategic Planning and Industrial Labor</a></li><li ><a href="#great-britain-labor-force-data">Great Britain Labor Force Data</a></li><li ><a href="#other-economic-indices-data-links">Other Economic Indices Data Links</a></li></ul></nav></div>



<h2 class="wp-block-heading" id="major-labor-shortages-in-key-industries">Major Labor Shortages in Key Industries</h2>



<p>World War II placed Great Britain in a precarious position, facing significant labor shortages in four critical industries vital to the war effort:</p>



<h3 class="wp-block-heading" id="coal-mining">Coal Mining</h3>



<p>The coal mining industry was essential for energy production and industrial processes. However, labor shortages in coal mines created disruptions in energy supplies, impacting both civilian and military needs. Recruitment efforts aimed to address these shortages and ensure a steady flow of coal production.</p>



<h3 class="wp-block-heading" id="shipbuilding">Shipbuilding</h3>



<p>Shipbuilding was of paramount importance, as it supported the Royal Navy and merchant marine. Labor shortages in shipyards could hinder the timely construction of warships and merchant vessels. Initiatives were launched to attract workers and maximize ship production.</p>



<h3 class="wp-block-heading" id="aircraft-manufacturing">Aircraft Manufacturing</h3>



<p>The aviation industry played a pivotal role in the war, manufacturing aircraft and related equipment. Labor shortages in aircraft manufacturing could impede the production of crucial fighter planes and bombers. Recruitment drives targeted skilled workers to meet the demands of the Royal Air Force.</p>



<h3 class="wp-block-heading" id="military-services">Military Services</h3>



<p>The British military required a constant influx of personnel to meet its operational and strategic objectives. Mobilization efforts aimed to enlist and train large numbers of soldiers, sailors, and airmen. Ensuring an adequate supply of well-trained military personnel was a top priority.</p>



<h2 class="wp-block-heading" id="unemployment-rates">Unemployment Rates</h2>



<p>Great Britain experienced a remarkable decline in unemployment rates as the nation transitioned to a wartime economy focused on supporting the war effort. Unemployment rates from 1938 to 1945:</p>



<p>1938: 12.9%, 1939: 9.3%, 1940: 6.0%&nbsp;, 1941: 2.2%, 1942: 0.8%, 1943: 0.6%, 1944: 0.6%, and 1945: 1.3%</p>



<p>These declining unemployment rates highlight the profound impact of wartime mobilization on the British labor force. As the nation shifted its focus to war production and military service, labor shortages were addressed, and the workforce was allocated to meet the needs of the war effort.</p>



<h2 class="wp-block-heading" id="mobilization-of-nontraditional-labor-groups">Mobilization of Nontraditional Labor Groups</h2>



<p>To address labor shortages, Great Britain implemented a multifaceted approach, mobilizing various labor groups:</p>



<h3 class="wp-block-heading" id="women">Women</h3>



<p>The mobilization of women into the workforce was a significant strategy to fill the labor gaps created by men joining the military. Women took on a variety of roles, both in civilian industries and in auxiliary military services, freeing up men for combat duty.</p>



<h3 class="wp-block-heading" id="men-discharged-from-the-military">Men Discharged from the Military</h3>



<p>Men who had completed their military service were reintegrated into civilian industries, capitalizing on their training and skills gained during their service. This transition was a crucial component of labor planning.</p>



<h3 class="wp-block-heading" id="older-men-in-unessential-industries">Older Men in Unessential Industries</h3>



<p>Older men, particularly those in non-essential industries, were encouraged to join the labor force, providing valuable experience and expertise to various sectors.</p>



<h3 class="wp-block-heading" id="irish-labor">Irish Labor</h3>



<p>Labor from Ireland, particularly Northern Ireland, played a significant role in supporting the British labor force during the war. Irish workers contributed to various industries and helped address shortages.</p>



<h3 class="wp-block-heading" id="prisoners-of-war">Prisoners of War</h3>



<p>Prisoners of war were utilized as a source of labor in accordance with international agreements. Their labor helped meet the demands of various industries and infrastructure projects.</p>



<h2 class="wp-block-heading" id="military-strategic-planning-and-industrial-labor">Military Strategic Planning and Industrial Labor</h2>



<p>Military strategic planning, particularly with the anticipation of D-Day in 1944, significantly influenced industrial labor plans in Great Britain. The early years of the war saw a concentrated effort to produce munitions and build up stockpiles to support the impending Allied invasion of mainland Europe. As D-Day approached, the labor force transitioned from munitions production and other labor roles to military roles, ensuring that the military had the necessary personnel and resources for a successful campaign. This strategic shift was a coordinated effort to maximize the efficiency of the labor force and to ensure military manpower needs. The success of D-Day and subsequent operations relied on this careful allocation of labor resources.</p>



<h2 class="wp-block-heading has-large-font-size" id="great-britain-labor-force-data">Great Britain Labor Force Data</h2>



<p class="has-small-font-size">To download the data shown below from which the graph was developed click on the icon below corresponding to you desired format. Note: to ensure all data is downloaded choose the &#8216;All&#8217; selection in the Show Entries dropdown list. Otherwise only the data visible on the screen will download.</p>



<div class="wpdt-c wdt-skin-light">
    
<input type="hidden" id="wdtNonceFrontendEdit_63" name="wdtNonceFrontendEdit_63" value="dc27afe68f" /><input type="hidden" name="_wp_http_referer" value="/category/other-ww2-data/demographics/feed/" />    <input type="hidden" id="table_7_desc"
           value='{"tableId":"table_7","tableType":"manual","selector":"#table_7","responsive":true,"responsiveAction":"icon","editable":false,"inlineEditing":false,"infoBlock":true,"pagination":1,"paginationAlign":"right","paginationLayout":"full_numbers","paginationLayoutMobile":"simple","file_location":"","tableSkin":"light","scrollable":true,"globalSearch":true,"showRowsPerPage":true,"popoverTools":false,"hideBeforeLoad":true,"number_format":2,"decimalPlaces":1,"spinnerSrc":"https:\/\/ww2data.com\/wp-content\/plugins\/wpdatatables\/assets\/\/img\/spinner.gif","groupingEnabled":false,"tableWpId":63,"dataTableParams":{"sDom":"BT\u003C\u0027clear\u0027\u003Elf\u003C\u0027wdtscroll\u0027t\u003Eip","bSortCellsTop":false,"bFilter":true,"bPaginate":true,"sPaginationType":"full_numbers","aLengthMenu":[[1,5,10,25,50,100,-1],[1,5,10,25,50,100,"All"]],"iDisplayLength":10,"columnDefs":[{"sType":"formatted-num","wdtType":"int","bVisible":false,"orderable":true,"searchable":true,"InputType":"text","name":"wdt_ID","origHeader":"wdt_ID","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdt_id","aTargets":[0]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"gender","origHeader":"gender","notNull":false,"conditionalFormattingRules":[],"className":" column-gender","aTargets":[1]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn","origHeader":"wdtcolumn","notNull":false,"conditionalFormattingRules":[],"className":" column-wdtcolumn","aTargets":[2]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn1","origHeader":"wdtcolumn1","notNull":false,"conditionalFormattingRules":[],"className":" column-wdtcolumn1","aTargets":[3]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn2","origHeader":"wdtcolumn2","notNull":false,"conditionalFormattingRules":[],"className":" column-wdtcolumn2","aTargets":[4]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn3","origHeader":"wdtcolumn3","notNull":false,"conditionalFormattingRules":[],"className":" column-wdtcolumn3","aTargets":[5]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn4","origHeader":"wdtcolumn4","notNull":false,"conditionalFormattingRules":[],"className":" column-wdtcolumn4","aTargets":[6]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"wdtcolumn5","origHeader":"wdtcolumn5","notNull":false,"conditionalFormattingRules":[],"className":" column-wdtcolumn5","aTargets":[7]}],"bAutoWidth":false,"order":[[0,"asc"]],"ordering":true,"fixedHeader":{"header":false,"headerOffset":0},"fixedColumns":false,"buttons":[{"extend":"print","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_print","title":"Great Britain\u0027s Labor Force 1939-1945","text":"Print"},{"extend":"excelHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_xls","filename":"Great Britain\u0027s Labor Force 1939-1945","title":"Great Britain\u0027s Labor Force 1939-1945","text":"Excel"},{"extend":"csvHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_csv","title":"Great Britain\u0027s Labor Force 1939-1945","text":"CSV"},{"extend":"copyHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_copy","filename":"Great Britain\u0027s Labor Force 1939-1945","title":"Great Britain\u0027s Labor Force 1939-1945","text":"Copy"},{"extend":"pdfHtml5","exportOptions":{"columns":":visible"},"className":"DTTT_button DTTT_button_pdf","orientation":"portrait","pageSize":"LETTER","title":"Great Britain\u0027s Labor Force 1939-1945","text":"PDF"}],"oLanguage":{"sSearchPlaceholder":""},"bProcessing":false,"serverSide":true,"ajax":{"url":"https:\/\/ww2data.com\/wp-admin\/admin-ajax.php?action=get_wdtable&table_id=63","type":"POST"},"oSearch":{"bSmart":false,"bRegex":false,"sSearch":""}},"tabletWidth":"1450","mobileWidth":"480","renderFilter":"header","advancedFilterEnabled":false,"serverSide":true,"autoRefreshInterval":0,"processing":true,"fnServerData":true,"columnsFixed":0,"sumFunctionsLabel":"","avgFunctionsLabel":"","minFunctionsLabel":"","maxFunctionsLabel":"","columnsDecimalPlaces":{"wdt_ID":-1,"gender":-1,"wdtcolumn":-1,"wdtcolumn1":-1,"wdtcolumn2":-1,"wdtcolumn3":-1,"wdtcolumn4":-1,"wdtcolumn5":-1},"columnsThousandsSeparator":{"wdt_ID":0},"sumColumns":[],"avgColumns":[],"sumAvgColumns":[],"timeFormat":"h:i A","datepickFormat":"mm\/dd\/yy"}'/>

    <table id="table_7"
           class=" scroll responsive display nowrap data-t data-t wpDataTable wpDataTableID-63"
           style="display: none; "
           data-described-by='table_7_desc'
           data-wpdatatable_id="63">
        
        <!-- Table header -->
        
<thead>
<tr>
                    <th
                        class=" wdtheader sort numdata integer "
        style="">wdt_ID</th>        <th
        data-class="expand"                class=" wdtheader sort "
        style="">Category</th>        <th
                        class=" wdtheader sort "
        style="">1939 (000)</th>        <th
                        class=" wdtheader sort "
        style="">1941 (000)</th>        <th
                        class=" wdtheader sort "
        style="">1942 (000)</th>        <th
                        class=" wdtheader sort "
        style="">1943 (000)</th>        <th
                        class=" wdtheader sort "
        style="">1944 (000)</th>        <th
                        class=" wdtheader sort "
        style="">1945 (000)</th>    </tr>
</thead>
        <!-- /Table header -->

        <!-- Table body -->
        
<tbody>
            <tr id="table_63_row_0">
                            <td style="">1</td>
                            <td style="">Total</td>
                            <td style="">19,570</td>
                            <td style="">21,332</td>
                            <td style="">22,056</td>
                            <td style="">22,286</td>
                            <td style="">22,008</td>
                            <td style="">21,649</td>
                    </tr>
                <tr id="table_63_row_1">
                            <td style="">2</td>
                            <td style="">Men</td>
                            <td style="">14,656</td>
                            <td style="">15,222</td>
                            <td style="">15,141</td>
                            <td style="">15,302</td>
                            <td style="">14,901</td>
                            <td style="">14,881</td>
                    </tr>
                <tr id="table_63_row_2">
                            <td style="">3</td>
                            <td style="">Women</td>
                            <td style="">5,094</td>
                            <td style="">6,110</td>
                            <td style="">6,915</td>
                            <td style="">7,254</td>
                            <td style="">7,107</td>
                            <td style="">6,768</td>
                    </tr>
                <tr id="table_63_row_3">
                            <td style="">4</td>
                            <td style="">Armed Forces:</td>
                            <td style="">1939 (000)</td>
                            <td style="">1941 (000)</td>
                            <td style="">1942 (000)</td>
                            <td style="">1943 (000)</td>
                            <td style="">1944 (000)</td>
                            <td style="">1945 (000)</td>
                    </tr>
                <tr id="table_63_row_4">
                            <td style="">5</td>
                            <td style="">Total</td>
                            <td style="">480</td>
                            <td style="">3,383</td>
                            <td style="">4,091</td>
                            <td style="">4,762</td>
                            <td style="">4,967</td>
                            <td style="">5,090</td>
                    </tr>
                <tr id="table_63_row_5">
                            <td style="">6</td>
                            <td style="">Men</td>
                            <td style="">480</td>
                            <td style="">3,278</td>
                            <td style="">3,784</td>
                            <td style="">4,300</td>
                            <td style="">4,500</td>
                            <td style="">4,653</td>
                    </tr>
                <tr id="table_63_row_6">
                            <td style="">7</td>
                            <td style="">Women</td>
                            <td style="">—</td>
                            <td style="">105</td>
                            <td style="">307</td>
                            <td style="">462</td>
                            <td style="">467</td>
                            <td style="">437</td>
                    </tr>
                <tr id="table_63_row_7">
                            <td style="">8</td>
                            <td style="">Civil Defence, N.F.S. and Police:</td>
                            <td style="">1939 (000)</td>
                            <td style="">1941 (000)</td>
                            <td style="">1942 (000)</td>
                            <td style="">1943 (000)</td>
                            <td style="">1944 (000)</td>
                            <td style="">1945 (000)</td>
                    </tr>
                <tr id="table_63_row_8">
                            <td style="">9</td>
                            <td style="">Total</td>
                            <td style="">80</td>
                            <td style="">383</td>
                            <td style="">384</td>
                            <td style="">323</td>
                            <td style="">282</td>
                            <td style="">127</td>
                    </tr>
                <tr id="table_63_row_9">
                            <td style="">10</td>
                            <td style="">Men</td>
                            <td style="">80</td>
                            <td style="">324</td>
                            <td style="">304</td>
                            <td style="">253</td>
                            <td style="">225</td>
                            <td style="">112</td>
                    </tr>
    </tbody>        <!-- /Table body -->

        <!-- Table footer -->
        
        <!-- /Table footer -->
    </table>

</div><style>
table.wpDataTable td.numdata { text-align: right !important; }
</style>
<style>
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tfoot td {
	color: #010101 !important;
}

/* even rows background color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.has-columns-hidden tr.row-detail > td {
	background-color: #03A9F438 !important;
}
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead tr:nth-child(2) th {
	overflow: visible;
}
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-family: Arial, Helvetica, sans-serif !important;
}
/* table font size */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-size:10px !important;
}
 
</style>
<style>
</style>
<style>
        /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-63 thead th,
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-63 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-63 thead th,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-63 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-63 tfoot td {
        color: #010101 !important;
    }
                            
                                /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-63,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-63 {
        font-family: Arial, Helvetica, sans-serif !important;
    }
                
                </style>




<p class="has-small-font-size">Source: W.K Hancock &amp; M.M. Gowing, “British War Economy.” Chapter V, Page 351, <a href="https://www.ibiblio.org/hyperwar/UN/UK/UK-Civil-WarEcon/UK-Civil-WarEcon-Stats-3.html" target="_blank" rel="noopener">https://www.ibiblio.org/hyperwar/UN/UK/UK-Civil-WarEcon/UK-Civil-WarEcon-Stats-3.html</a></p>



<p class="has-small-font-size">The following notes are from the Ministry of Labour and National Service and Central Statistical Office</p>



<p class="has-small-font-size">(1) The figures include men aged 14-64 and women aged 14-59, excluding those in private domestic service. Part-time women workers are included, two being counted as one unit. The figures refer to Great Britain only except for the Armed Forces, which include an unknown number of volunteers from Northern Ireland, Eire, etc.</p>



<p class="has-small-font-size">(2) Group I covers metal manufacture, engineering, motors, aircraft and other vehicles, shipbuilding and ship-repairing, metal goods manufacture, chemicals, explosives, oils etc.</p>



<p class="has-small-font-size">Group II covers agriculture, mining, national and local government services, gas, water and electricity supply, transport and shipping.</p>



<p class="has-small-font-size">Group III covers food, drink and tobacco, textiles ,clothing and other manufactures, building and civil engineering, distribution trades, commerce, banking and other services.</p>



<h2 class="wp-block-heading" id="other-economic-indices-data-links">Other Economic Indices Data Links</h2>



<p><a href="/indices-of-american-manufacturing-output-1939-100/">Indices of American Manufacturing Output (1939 = 100)</a></p>



<p><a href="/german-vs-ussr-volume-of-industrial-production-1940/">German vs. USSR Volume of Industrial Production, 1940</a></p>



<p><a href="/allies-to-axis-gdp-ratios-1938-1945/">Allies to Axis GDP Ratios 1938-1945</a></p>



<p><a href="/real-national-product-of-uk-us-ussr-and-germany-1937-45/">Real National Product of UK, US, USSR, and Germany, 1937-45</a></p>



<p><a href="/us-federal-spending-and-military-spending-during-ww2/">US Federal Spending and Military Spending During WW2</a></p>



<p class="has-small-font-size">This website, ww2data.com, has no responsibility for the persistence or accuracy of URLs for external or third party internet websites referenced.  Nor does ww2data.com guarantee that any content on such websites are accurate or will remain accurate.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://ww2data.com/great-britains-labor-force-1939-1945/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>World Population by Country by Alignment &#8211; 1939</title>
		<link>https://ww2data.com/world-population-by-country-by-alignment-1939/</link>
					<comments>https://ww2data.com/world-population-by-country-by-alignment-1939/#respond</comments>
		
		<dc:creator><![CDATA[Mike Guina]]></dc:creator>
		<pubDate>Tue, 18 Oct 2022 15:21:33 +0000</pubDate>
				<category><![CDATA[Demographics]]></category>
		<category><![CDATA[Allies vs. Axis]]></category>
		<category><![CDATA[Germany]]></category>
		<category><![CDATA[Great Britain]]></category>
		<category><![CDATA[Italy]]></category>
		<category><![CDATA[Japan]]></category>
		<category><![CDATA[Other Allies]]></category>
		<category><![CDATA[Other Axis]]></category>
		<category><![CDATA[United States]]></category>
		<category><![CDATA[USSR]]></category>
		<guid isPermaLink="false">https://ww2data.com/?p=976</guid>

					<description><![CDATA[As of 1939, the world population stood at around 2.3 billion people, with significant differences between nations. Manpower, essential for military mobilization, would prove pivotal in determining the war&#8217;s outcome, but it was just one facet of how the alignment of nations influenced World War II. Other vital resources, including oil, aluminum, and food, were [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p>As of 1939, the world population stood at around 2.3 billion people, with significant differences between nations. Manpower, essential for military mobilization, would prove pivotal in determining the war&#8217;s outcome, but it was just one facet of how the alignment of nations influenced World War II. Other vital resources, including oil, aluminum, and food, were also affected by the alliances forged during this period, as were the industrial and economic capacities of these aligned nations.</p>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="526" src="/wp-content/uploads/2022/12/1254_121722-150x150.png" alt="World Population by Country by Alignment - 1939" class="wp-image-2914" srcset="https://ww2data.com/wp-content/uploads/2022/12/1254_121722-150x150.png 1024w, https://ww2data.com/wp-content/uploads/2022/12/1254_121722-300x154.png 300w, https://ww2data.com/wp-content/uploads/2022/12/1254_121722-768x395.png 768w, https://ww2data.com/wp-content/uploads/2022/12/1254_121722-1536x790.png 1536w, https://ww2data.com/wp-content/uploads/2022/12/1254_121722-2048x1053.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption">Alignment by population</figcaption></figure>



<p class="has-small-font-size">The above graph can be downloaded as an image.&nbsp;&nbsp;</p>



<div class="wp-block-rank-math-toc-block" id="rank-math-toc" id="rank-math-toc"><h2>Table of Contents</h2><nav><ul><li ><a href="#alignment-in-wwii">Alignment in WWII</a></li><li ><a href="#resources">Resources</a><ul><li ><a href="#manpower">Manpower</a></li><li ><a href="#oil">Oil</a></li><li ><a href="#aluminum">Aluminum</a></li></ul></li><li ><a href="#industrial-and-economic-capacities">Industrial and Economic Capacities</a><ul><li ><a href="#industrial">Industrial</a></li><li ><a href="#economic">Economic</a></li></ul></li><li ><a href="#world-population-by-country-by-alignment-1939-data">World Population by Country by Alignment &#8211; 1939 Data</a></li><li ><a href="#other-data-links">Other Data Links</a></li></ul></nav></div>



<h2 class="wp-block-heading has-larger-font-size" id="alignment-in-wwii">Alignment in WWII</h2>



<p>In the years leading up to World War II, the alignment of nations was marked by the emergence of two major opposing blocs: the Allies and the Axis. The Allied nations, led by the United Kingdom, the United States, and the Soviet Union, stood in stark opposition to the Axis nations, led by Nazi Germany, Italy, and Japan. These alliances were instrumental in shaping the course and outcomes of the war, as they defined the geopolitical landscape of the conflict and determined the strength of each side and in determining the course and outcomes of the war.</p>



<h2 class="wp-block-heading has-larger-font-size" id="resources">Resources</h2>



<h3 class="wp-block-heading has-large-font-size" id="manpower">Manpower</h3>



<p>In 1939 the global population at that time reached approximately 2.3 billion people, but this distribution was far from uniform among nations and was heavily skewed in favor of the Allied nations.</p>



<p>The Allies, consisting of major players such as the United States, the United Kingdom, the Soviet Union, India, and China, collectively represented a substantial portion of the world&#8217;s population. In fact, the population of nations aligned with the Allies accounted for a staggering 1.4 billion people, comprising 61% of the global population.&nbsp;</p>



<p>Conversely, the Axis nations, led by Nazi Germany, Italy, and Japan, though formidable militarily, did not enjoy the same demographic advantage. The population of Axis-aligned nations stood at a mere 0.3 billion people, constituting just 14% of the world&#8217;s population.&nbsp;</p>



<p>Meanwhile, the remaining neutral countries accounted for approximately 2.9 billion people or 13% of the world&#8217;s population.</p>



<h3 class="wp-block-heading has-large-font-size" id="oil">Oil</h3>



<p>Oil, a critical resource for military operations, played a significant role in World War II. The Axis nations, particularly Nazi Germany and Japan, faced severe challenges in securing access to oil reserves. Germany&#8217;s efforts to conquer the Soviet Union were, in part, driven by the desire to access Soviet oil fields in the Caucasus region.&nbsp;</p>



<p>Conversely, the Allied Powers, including the United States, held a substantial advantage in oil production, with the U.S. alone producing over half of the world&#8217;s oil supply during the war. This oil abundance provided a crucial strategic advantage to the Allies and contributed to their ultimate victory.&nbsp;</p>



<p>In 1940 the US and USSR combined produced 212,357 metric tons of crude oil.&nbsp;&nbsp;Whereas Romania and Indonesia, the major axis sources of crude oil, produced 13,703 metric tons. This 15 to 1 ratio meant the Allied powers could more easily mechanize.</p>



<h3 class="wp-block-heading has-large-font-size" id="aluminum">Aluminum</h3>



<p>Aluminum, a vital material for aircraft and military equipment production, was another resource influencing the war’s outcome due to the alignment of nations during World War II. The United States and Canada were major producers of aluminum, supplying both their own military forces and Allied nations.&nbsp;&nbsp;In a significant prelude to the Japanese attack on Pearl Harbor, U.S. troops arrived in Dutch Guiana to protect bauxite mines, providing the U.S. with 65% of its imported bauxite.&nbsp;</p>



<p>The USSR was self-sufficient. The United Kingdom although deficient within its border had decades-old supply sources.</p>



<p>In contrast, the Axis nations faced significant shortages of aluminum, which hindered their ability to manufacture aircraft and other essential wartime materials. Germany accessed bauxite ore from Hungary, Yugoslavia, and Romania, but the logistical challenges of transporting the ore to production facilities with a reliable electrical supply proved daunting. Nazi rail systems were already overburdened, and ore transportation only compounded that problem.</p>



<p>Japan, without a domestic source of bauxite, faced a substantial challenge during World War II and heavily relied on imports, with 90% of its aluminum ingots in 1941 originating from bauxite imported from the Dutch East Indies. This dependency on overseas bauxite posed significant logistical challenges for Japan.</p>



<p>By September of 1939, Japan boasted a formidable maritime presence, with a fleet of 1,180 vessels exceeding 1,000 gross tons, according to data from the Maritime Commission of the U.S. Department of Commerce. Only the British Empire and the United States could boast larger merchant fleets at the time. Notably, Japanese shipyards had yet to reach their zenith in terms of wartime production, foreshadowing the significant expansion of naval assets that would soon follow.</p>



<p>However, the toll of World War II took a severe toll on Japan&#8217;s maritime strength. Over the course of forty-four months of active participation in the conflict, the Empire of Japan suffered the loss of a staggering 2,346 merchant ships. Virtually all vessels exceeding 1,000 tons in size were either sunk or incapacitated, highlighting the immense challenges Japan faced in maintaining its maritime supply lines and demonstrating the devastating impact of the war on its merchant fleet.</p>



<p>This disparity in aluminum resources further tipped the scales in favor of the Allied-aligned nations.</p>



<h2 class="wp-block-heading has-larger-font-size" id="industrial-and-economic-capacities">Industrial and Economic Capacities</h2>



<h3 class="wp-block-heading has-large-font-size" id="industrial">Industrial</h3>



<p>The industrial capacity of nations played a pivotal role in determining the course of World War II. Allied-aligned nations, including the United States, the United Kingdom, Canada, and the Soviet Union, possessed robust industrial bases that allowed for the mass production of weapons, vehicles, and other essential war materials. The Axis-aligned nations, while initially demonstrating impressive industrial capabilities, struggled to match the sustained output of the Allies. The Allies&#8217; superior industrial capacity played a crucial role in the eventual defeat of the Axis Powers.</p>



<p>Utilizing industrial capacity indices documented by&nbsp;Gropman (1). Taking the United States&#8217; prewar productivity in terms of production per man-hour as the standard and giving it a value of 100, the following indicates the relative productivity of Allied nations versus Axis nations. Pre-war (1935-38) found the Allied nations stood at 243 and the Axis 66. At the height of the war, 1944, the Allied nations stood at 237 and the Axis nations 65.</p>



<p class="has-small-font-size">(1) Gropman, Alan L. “Mobilizing U.S. Industry In World War II: Myth And Reality.” Institute for National Strategic Studies, National Defense University, 1996, Washington, DC, Page 135,&nbsp;<a href="https://www.files.ethz.ch/isn/23588/mcnair50.pdf" target="_blank" rel="noreferrer noopener">https://www.files.ethz.ch/isn/23588/mcnair50.pdf</a></p>



<h3 class="wp-block-heading has-large-font-size" id="economic">Economic</h3>



<p>Economic strength was also a decisive factor in World War II, as nations with robust economies could sustain the financial burden of a protracted conflict. The economic capacity of Allied-aligned nations, particularly the United States, dwarfed that of the Axis-aligned nations.&nbsp;From the pre-war years and through 1943 the Allied nations maintained about a 2:1 GDP ratio advantage over their Axis counterparts. In 1944 the ratio ticked up to nearly a 3:1 advantage and in 1945 it soared to a 5:1 ratio advantage.</p>



<p>The U.S., with its booming economy, was able to finance the war effort not only for itself but also for its Allies through programs like the Lend-Lease Act. Conversely, Axis-aligned nations grappled with significant economic challenges, including inflation and resource shortages, which eroded their war efforts. The economic disparities between the two blocs contributed significantly to the Allied victory in World War II.</p>



<h2 class="wp-block-heading has-larger-font-size" id="world-population-by-country-by-alignment-1939-data">World Population by Country by Alignment &#8211; 1939 Data</h2>



<p>This listing of 151 countries shows the 1939 population as well as the eventual country wartime alliance or neutrality. </p>



<p class="has-small-font-size">To download the data shown below from which the graph was developed click on the icon below corresponding to you desired format. Note: to ensure all data is downloaded choose the &#8216;All&#8217; selection in the Show Entries dropdown list. Otherwise only the data visible on the screen will download.</p>



<div class="wpdt-c wdt-skin-light">
    
<input type="hidden" id="wdtNonceFrontendEdit_45" name="wdtNonceFrontendEdit_45" value="483b269d69" /><input type="hidden" name="_wp_http_referer" value="/category/other-ww2-data/demographics/feed/" />    <input type="hidden" id="table_8_desc"
           value='{"tableId":"table_8","tableType":"manual","selector":"#table_8","responsive":true,"responsiveAction":"icon","editable":false,"inlineEditing":false,"infoBlock":true,"pagination":1,"paginationAlign":"right","paginationLayout":"full_numbers","paginationLayoutMobile":"simple","file_location":"","tableSkin":"light","scrollable":true,"globalSearch":true,"showRowsPerPage":true,"popoverTools":false,"hideBeforeLoad":true,"number_format":2,"decimalPlaces":1,"spinnerSrc":"https:\/\/ww2data.com\/wp-content\/plugins\/wpdatatables\/assets\/\/img\/spinner.gif","groupingEnabled":false,"tableWpId":45,"dataTableParams":{"sDom":"BT\u003C\u0027clear\u0027\u003Elf\u003C\u0027wdtscroll\u0027t\u003Eip","bSortCellsTop":false,"bFilter":true,"bPaginate":true,"sPaginationType":"full_numbers","aLengthMenu":[[1,5,10,25,50,100,-1],[1,5,10,25,50,100,"All"]],"iDisplayLength":10,"columnDefs":[{"sType":"formatted-num","wdtType":"int","bVisible":false,"orderable":true,"searchable":true,"InputType":"text","name":"wdt_ID","origHeader":"wdt_ID","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-wdt_id","aTargets":[0]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"countryterritory","origHeader":"countryterritory","notNull":false,"conditionalFormattingRules":[],"className":" column-countryterritory","aTargets":[1]},{"sType":"formatted-num","wdtType":"int","bVisible":true,"orderable":true,"searchable":false,"InputType":"text","name":"populationc1939","origHeader":"populationc1939","notNull":false,"conditionalFormattingRules":[],"className":"numdata integer  column-populationc1939","aTargets":[2]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"empire","origHeader":"empire","notNull":false,"conditionalFormattingRules":[],"className":" column-empire","aTargets":[3]},{"sType":"string","wdtType":"string","bVisible":true,"orderable":true,"searchable":true,"InputType":"text","name":"alliedaxis","origHeader":"alliedaxis","notNull":false,"conditionalFormattingRules":[],"className":" column-alliedaxis","aTargets":[4]}],"bAutoWidth":false,"order":[[0,"asc"]],"ordering":true,"fixedHeader":{"header":false,"headerOffset":0},"fixedColumns":false,"buttons":[{"extend":"print","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_print","title":"World Population by Country by Alignment - 1939","text":"Print"},{"extend":"excelHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_xls","filename":"World Population by Country by Alignment - 1939","title":"World Population by Country by Alignment - 1939","text":"Excel"},{"extend":"csvHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_csv","title":"World Population by Country by Alignment - 1939","text":"CSV"},{"extend":"copyHtml5","exportOptions":{"columns":":visible","stripHtml":false},"className":"DTTT_button DTTT_button_copy","filename":"World Population by Country by Alignment - 1939","title":"World Population by Country by Alignment - 1939","text":"Copy"},{"extend":"pdfHtml5","exportOptions":{"columns":":visible"},"className":"DTTT_button DTTT_button_pdf","orientation":"portrait","pageSize":"LETTER","title":"World Population by Country by Alignment - 1939","text":"PDF"}],"oLanguage":{"sSearchPlaceholder":""},"bProcessing":false,"serverSide":true,"ajax":{"url":"https:\/\/ww2data.com\/wp-admin\/admin-ajax.php?action=get_wdtable&table_id=45","type":"POST"},"oSearch":{"bSmart":false,"bRegex":false,"sSearch":""}},"tabletWidth":"1450","mobileWidth":"480","renderFilter":"header","advancedFilterEnabled":true,"advancedFilterOptions":{"sPlaceHolder":"head:before","aoColumns":[{"type":"null","columnType":"int","numberOfDecimalPlaces":"1","possibleValuesType":"read","globalSearchColumn":1,"values":null,"origHeader":"wdt_ID","displayHeader":"wdt_ID","possibleValuesAddEmpty":false,"possibleValuesAjax":-1,"column_align_fields":"","defaultValue":"","column_align_header":"","column_rotate_header_name":"","exactFiltering":false,"filterLabel":"","searchInSelectBox":1,"searchInSelectBoxEditing":1,"checkboxesInModal":0,"andLogic":0,"linkButtonLabel":"","rangeSlider":false,"rangeMaxValueDisplay":"0","customMaxRangeValue":"0"},{"type":"text","columnType":"string","numberOfDecimalPlaces":"1","possibleValuesType":"read","globalSearchColumn":1,"values":null,"origHeader":"countryterritory","displayHeader":"Country\/territory","possibleValuesAddEmpty":false,"possibleValuesAjax":10,"column_align_fields":"","defaultValue":"","column_align_header":"","column_rotate_header_name":"","exactFiltering":false,"filterLabel":"","searchInSelectBox":1,"searchInSelectBoxEditing":1,"checkboxesInModal":0,"andLogic":0,"linkButtonLabel":"","rangeSlider":false,"rangeMaxValueDisplay":"0","customMaxRangeValue":"0"},{"type":"null","columnType":"int","numberOfDecimalPlaces":"1","possibleValuesType":"read","globalSearchColumn":0,"values":null,"origHeader":"populationc1939","displayHeader":"Populationc.1939","possibleValuesAddEmpty":false,"possibleValuesAjax":-1,"column_align_fields":"","defaultValue":"","column_align_header":"","column_rotate_header_name":"","exactFiltering":false,"filterLabel":"","searchInSelectBox":1,"searchInSelectBoxEditing":1,"checkboxesInModal":0,"andLogic":0,"linkButtonLabel":"","rangeSlider":false,"rangeMaxValueDisplay":"0","customMaxRangeValue":"0"},{"type":"text","columnType":"string","numberOfDecimalPlaces":"1","possibleValuesType":"read","globalSearchColumn":1,"values":null,"origHeader":"empire","displayHeader":"Empire","possibleValuesAddEmpty":false,"possibleValuesAjax":10,"column_align_fields":"","defaultValue":"","column_align_header":"","column_rotate_header_name":"","exactFiltering":false,"filterLabel":"","searchInSelectBox":1,"searchInSelectBoxEditing":1,"checkboxesInModal":0,"andLogic":0,"linkButtonLabel":"","rangeSlider":false,"rangeMaxValueDisplay":"0","customMaxRangeValue":"0"},{"type":"text","columnType":"string","numberOfDecimalPlaces":"1","possibleValuesType":"read","globalSearchColumn":1,"values":null,"origHeader":"alliedaxis","displayHeader":"Allied\/Axis","possibleValuesAddEmpty":false,"possibleValuesAjax":10,"column_align_fields":"","defaultValue":"","column_align_header":"","column_rotate_header_name":"","exactFiltering":false,"filterLabel":"","searchInSelectBox":1,"searchInSelectBoxEditing":1,"checkboxesInModal":0,"andLogic":0,"linkButtonLabel":"","rangeSlider":false,"rangeMaxValueDisplay":"0","customMaxRangeValue":"0"}],"bUseColVis":true},"filterInForm":false,"serverSide":true,"autoRefreshInterval":0,"processing":true,"fnServerData":true,"columnsFixed":0,"sumFunctionsLabel":"","avgFunctionsLabel":"","minFunctionsLabel":"","maxFunctionsLabel":"","columnsDecimalPlaces":{"wdt_ID":-1,"countryterritory":-1,"populationc1939":-1,"empire":-1,"alliedaxis":-1},"columnsThousandsSeparator":{"wdt_ID":0,"populationc1939":1},"sumColumns":[],"avgColumns":[],"sumAvgColumns":[],"timeFormat":"h:i A","datepickFormat":"mm\/dd\/yy"}'/>

    <table id="table_8"
           class=" scroll responsive display nowrap data-t data-t wpDataTable wpDataTableID-45"
           style="display: none; "
           data-described-by='table_8_desc'
           data-wpdatatable_id="45">
        
        <!-- Table header -->
        
<thead>
    <tr>
                                    <th
                                                class="sort numdata integer "
                style="">            </th>
                    <th
                data-class="expand"                                class="sort "
                style="">Country/territory            </th>
                    <th
                                                class="sort numdata integer "
                style="">            </th>
                    <th
                                                class="sort "
                style="">Empire            </th>
                    <th
                                                class="sort "
                style="">Allied/Axis            </th>
                    </tr>
<tr>
                    <th
                        class=" wdtheader sort numdata integer "
        style="">wdt_ID</th>        <th
        data-class="expand"                class=" wdtheader sort "
        style="">Country/territory</th>        <th
                        class=" wdtheader sort numdata integer "
        style="">Populationc.1939</th>        <th
                        class=" wdtheader sort "
        style="">Empire</th>        <th
                        class=" wdtheader sort "
        style="">Allied/Axis</th>    </tr>
</thead>
        <!-- /Table header -->

        <!-- Table body -->
        
<tbody>
            <tr id="table_45_row_0">
                            <td style="">1</td>
                            <td style="">Aden</td>
                            <td style="">994,000</td>
                            <td style="">British</td>
                            <td style="">Allied</td>
                    </tr>
                <tr id="table_45_row_1">
                            <td style="">2</td>
                            <td style="">Afghanistan</td>
                            <td style="">7,400,000</td>
                            <td style=""></td>
                            <td style="">Neutral</td>
                    </tr>
                <tr id="table_45_row_2">
                            <td style="">3</td>
                            <td style="">Albania</td>
                            <td style="">1,063,893</td>
                            <td style="">Italian</td>
                            <td style="">Axis</td>
                    </tr>
                <tr id="table_45_row_3">
                            <td style="">4</td>
                            <td style="">Andorra</td>
                            <td style="">6,000</td>
                            <td style=""></td>
                            <td style="">Neutral</td>
                    </tr>
                <tr id="table_45_row_4">
                            <td style="">5</td>
                            <td style="">Angola</td>
                            <td style="">3,740,800</td>
                            <td style="">Portuguese</td>
                            <td style="">Neutral</td>
                    </tr>
                <tr id="table_45_row_5">
                            <td style="">6</td>
                            <td style="">Argentina</td>
                            <td style="">13,948,000</td>
                            <td style=""></td>
                            <td style="">Neutral</td>
                    </tr>
                <tr id="table_45_row_6">
                            <td style="">7</td>
                            <td style="">Armeni</td>
                            <td style="">1,282,338</td>
                            <td style="">USSR</td>
                            <td style="">Allied</td>
                    </tr>
                <tr id="table_45_row_7">
                            <td style="">8</td>
                            <td style="">Aruba</td>
                            <td style="">29,200</td>
                            <td style="">Dutch</td>
                            <td style="">Allied</td>
                    </tr>
                <tr id="table_45_row_8">
                            <td style="">9</td>
                            <td style="">Australia</td>
                            <td style="">6,968,000</td>
                            <td style="">British</td>
                            <td style="">Allied</td>
                    </tr>
                <tr id="table_45_row_9">
                            <td style="">10</td>
                            <td style="">Austria</td>
                            <td style="">6,658,000</td>
                            <td style="">German</td>
                            <td style="">Axis</td>
                    </tr>
    </tbody>        <!-- /Table body -->

        <!-- Table footer -->
        
        <!-- /Table footer -->
    </table>

</div><style>
table.wpDataTable td.numdata { text-align: right !important; }
</style>
<style>
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable thead th,
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead th,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tbody td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tfoot td {
	color: #010101 !important;
}

/* even rows background color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.wpDataTable tr.even td,
.wpdt-c .wpDataTablesWrapper table.has-columns-hidden tr.row-detail > td {
	background-color: #03A9F438 !important;
}
.wpdt-c .wpDataTablesWrapper table.wpDataTable thead tr:nth-child(2) th {
	overflow: visible;
}
/* table font color */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-family: Arial, Helvetica, sans-serif !important;
}
/* table font size */
.wpdt-c.wpDataTablesWrapper table.wpdtSimpleTable,
.wpdt-c .wpDataTablesWrapper table.wpDataTable {
    font-size:10px !important;
}
 
</style>
<style>
</style>
<style>
        /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-45 thead th,
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-45 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-45 thead th,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-45 tbody td,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-45 tfoot td {
        color: #010101 !important;
    }
                            
                                /* table font color */
    .wpdt-c.wpDataTablesWrapper table#wpdtSimpleTable-45,
    .wpdt-c .wpDataTablesWrapper table.wpDataTable.wpDataTableID-45 {
        font-family: Arial, Helvetica, sans-serif !important;
    }
                
                </style>




<p class="has-small-font-size">Source: Wikipedia, “List of countries by population in 1939”, <a href="https://en.wikipedia.org/wiki/List_of_countries_by_population_in_1939" target="_blank" rel="noreferrer noopener">https://en.wikipedia.org/wiki/List_of_countries_by_population_in_1939</a>, Date accessed June 25, 2022</p>



<p class="has-small-font-size">How to sort by multiple columns – First sort by one of the columns. Then press the “Shift” key on the keyboard and while holding the Shift key click on a second header.  This column now becomes the second sorting column.  This feature is useful when the first sorting column has values that repeat for multiple rows.</p>



<h2 class="wp-block-heading has-larger-font-size" id="other-data-links">Other Data Links</h2>



<p><a href="/indices-of-american-manufacturing-output-1939-100/">Indices of American Manufacturing Output (1939 = 100)</a></p>



<p><a href="/german-vs-ussr-volume-of-industrial-production-1940/">German vs. USSR Volume of Industrial Production, 1940</a></p>



<p><a href="/allies-to-axis-gdp-ratios-1938-1945/">Allies to Axis GDP Ratios 1938-1945</a></p>



<p><a href="/self-sufficiency-or-deficiency-strategic-raw-materials-and-foodstuffs/">Self Sufficiency or Deficiency; Strategic Raw Materials and Foodstuffs</a></p>



<p class="has-small-font-size">This website, ww2data.com, has no responsibility for the persistence or accuracy of URLs for external or third party internet websites referenced.&nbsp;&nbsp;Nor does ww2data.com guarantee that any content on such websites are accurate or will remain accurate.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://ww2data.com/world-population-by-country-by-alignment-1939/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
