<?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>Politics &amp; Economy - Poor Norman News</title>
	<atom:link href="https://poornorman.com/category/politics-economy/feed/" rel="self" type="application/rss+xml" />
	<link>https://poornorman.com</link>
	<description>News, Politics, Editorials, Entertainment, Videos &#38; More</description>
	<lastBuildDate>Mon, 01 Sep 2025 18:14:05 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9</generator>

<image>
	<url>https://poornorman.com/wp-content/uploads/2021/01/cropped-favicon-32x32.jpg</url>
	<title>Politics &amp; Economy - Poor Norman News</title>
	<link>https://poornorman.com</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>How Many Jobs Have Been Lost Due to Trump&#8217;s Cuts — by State</title>
		<link>https://poornorman.com/how-many-jobs-have-been-lost-due-to-trumps-cuts-by-state/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=how-many-jobs-have-been-lost-due-to-trumps-cuts-by-state</link>
					<comments>https://poornorman.com/how-many-jobs-have-been-lost-due-to-trumps-cuts-by-state/#respond</comments>
		
		<dc:creator><![CDATA[Norman Gregory]]></dc:creator>
		<pubDate>Sun, 31 Aug 2025 20:52:01 +0000</pubDate>
				<category><![CDATA[Economy]]></category>
		<category><![CDATA[Jobs]]></category>
		<category><![CDATA[Politics]]></category>
		<category><![CDATA[Politics & Economy]]></category>
		<category><![CDATA[Trump Administration]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[biomedical research layoffs Trump]]></category>
		<category><![CDATA[federal job losses 2025]]></category>
		<category><![CDATA[GalaxyStorm politics blog]]></category>
		<category><![CDATA[job losses under Trump]]></category>
		<category><![CDATA[Maryland federal job cuts]]></category>
		<category><![CDATA[Medicaid job losses Trump]]></category>
		<category><![CDATA[NIH funding job cuts]]></category>
		<category><![CDATA[Poor Norman Trump job cuts]]></category>
		<category><![CDATA[public sector layoffs Trump]]></category>
		<category><![CDATA[state by state job losses Trump]]></category>
		<category><![CDATA[Trump administration layoffs]]></category>
		<category><![CDATA[Trump clean energy job cuts]]></category>
		<category><![CDATA[Trump cuts impact on jobs]]></category>
		<category><![CDATA[Trump federal workforce reductions]]></category>
		<category><![CDATA[Trump job cuts]]></category>
		<category><![CDATA[Trump layoffs by state]]></category>
		<category><![CDATA[Trump policy job losses]]></category>
		<category><![CDATA[US federal layoffs 2025]]></category>
		<category><![CDATA[Virginia job losses Trump]]></category>
		<category><![CDATA[West Virginia layoffs Trump]]></category>
		<guid isPermaLink="false">https://poornorman.com/?p=50101</guid>

					<description><![CDATA[<p>Share on Social Media:</p>
<p>The post <a href="https://poornorman.com/how-many-jobs-have-been-lost-due-to-trumps-cuts-by-state/">How Many Jobs Have Been Lost Due to Trump’s Cuts — by State</a> first appeared on <a href="https://poornorman.com">Poor Norman News</a>.</p>]]></description>
										<content:encoded><![CDATA[<div class="et_pb_section et_pb_section_0 et_section_regular" >
				
				
				
				
				
				
				<div class="et_pb_row et_pb_row_0">
								<div class="et_pb_column et_pb_column_4_4 et_pb_column_0  et_pb_css_mix_blend_mode_passthrough et-last-child">
				
				
				
				
				<div class="et_pb_module et_pb_text et_pb_text_0  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p data-start="108" data-end="145"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Since his second inauguration, President Trump’s aggressive cuts have taken a severe toll on public employment across the U.S. Hundreds of thousands of federal workers have been lost, while key sectors like clean energy and biomedical research have shed tens of thousands more jobs. Here’s a deep dive into what this means—for workers, communities, and state economies.</span></p>
<h3 data-start="152" data-end="199">National Overview: Massive Federal Layoffs</h3>
<p data-start="201" data-end="277"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Trump’s administration, backed by the Department of Government Efficiency (DOGE), has orchestrated one of the largest workforce reductions in recent history. According to data, <strong data-start="177" data-end="223">over 290,000 federal civil service layoffs</strong> have been announced in 2025 alone</span> (Wikipedia).</p>
<p data-start="279" data-end="355"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">By mid-July, CNN estimated at least <strong data-start="36" data-end="55">128,709 workers</strong> were either laid off or targeted for layoffs, while The New York Times reported over <strong data-start="141" data-end="166">58,500 confirmed cuts</strong>, plus <strong data-start="173" data-end="200">76,000 employee buyouts</strong>, and another <strong data-start="214" data-end="244">149,000 planned reductions</strong>—accounting for nearly <strong data-start="267" data-end="293">12% of the 2.4 million</strong> civilian federal workforce</span> (Wikipedia).</p>
<h3 data-start="362" data-end="392">Impact at the State Level</h3>
<p data-start="394" data-end="431"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Let&#8217;s break down known figures for specific states where data is available:</span></p>
<h4 data-start="433" data-end="450"><strong data-start="438" data-end="450">Maryland</strong></h4>
<p data-start="451" data-end="565"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Federal job losses here total <strong data-start="30" data-end="40">12,700</strong> since Trump’s second term began in January—the highest number in any state</span> .<br />
<span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Given Maryland&#8217;s large pool of federal workers, this represents a devastating hit to local employment and economic stability.</span></p>
<h4 data-start="567" data-end="584"><strong data-start="572" data-end="584">Virginia</strong></h4>
<p data-start="585" data-end="665"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Although exact numbers of terminated staff are not fully tabulated, Virginia has seen the largest Q2 job revisions, with approximately <strong data-start="135" data-end="145">43,000</strong> fewer jobs reported in the household survey, indicating a sharp hiring downturn</span> (Investopedia/Yahoo).</p>
<p data-start="667" data-end="706"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Additionally, economic modeling shows:</span></p>
<ul data-start="707" data-end="832">
<li data-start="707" data-end="750">
<p data-start="709" data-end="750"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">A <strong data-start="2" data-end="8">1%</strong> cut in Virginia’s federal civilian workforce = ~3,900 job losses and $24.8M in lost revenue</span></p>
</li>
<li data-start="751" data-end="832">
<p data-start="753" data-end="832"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">A <strong data-start="2" data-end="9">10%</strong> reduction = ~39,178 job losses and $247.9M revenue loss</span></p>
</li>
</ul>
<h4 data-start="834" data-end="856"><strong data-start="839" data-end="856">West Virginia</strong></h4>
<p data-start="857" data-end="937"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Job loss numbers remain modest compared to Maryland and Virginia. Official reports suggest <strong data-start="91" data-end="116">400 federal positions</strong> have been eliminated since early 2025, though data is likely lagging and may not reflect administrative leave or buyouts.</span></p>
<h3 data-start="944" data-end="975">Sector-Specific Downsizing</h3>
<h4 data-start="977" data-end="998"><strong data-start="982" data-end="998">Clean Energy</strong></h4>
<p data-start="999" data-end="1079"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Policy rollbacks targeting clean energy have already resulted in <strong data-start="65" data-end="86">20,000 job losses</strong>, with <strong data-start="93" data-end="108">40,000 more</strong> at risk. States like Arizona, Nevada, Michigan, and Georgia are among the hardest hit.</span></p>
<h4 data-start="1081" data-end="1118"><strong data-start="1086" data-end="1118">Healthcare &amp; Rural Economies</strong></h4>
<p data-start="1119" data-end="1199"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Proposed Medicaid cuts in Trump’s “One Big Beautiful Bill” could lead to <strong data-start="73" data-end="95">408,000 job losses</strong> nationwide by 2034. Notably, <strong data-start="125" data-end="177">New York alone could lose 65,000 healthcare jobs</strong> and $14.4 billion in economic output, disproportionately affecting rural hospitals and clinics.</span></p>
<h4 data-start="1201" data-end="1229"><strong data-start="1206" data-end="1229">Biomedical Research</strong></h4>
<p data-start="1230" data-end="1310"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">AP analysis shows that capping indirect NIH funding at 15% (down from ~50%) could cost at least <strong data-start="96" data-end="122">58,000 jobs nationwide</strong>, affecting labs in every state and threatening innovation and patient care, especially in rural areas.</span></p>
<h3 data-start="1317" data-end="1340">Broader Human Toll</h3>
<p data-start="1342" data-end="1381"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">The cuts aren’t just numbers—they&#8217;re upending lives:</span></p>
<ul data-start="1382" data-end="1547">
<li data-start="1382" data-end="1464">
<p data-start="1384" data-end="1464"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Over <strong data-start="5" data-end="32">130,000 federal workers</strong> have been either fired or pressured to resign, with <strong data-start="85" data-end="111">more than 50,000 fired</strong> and <strong data-start="116" data-end="144" data-is-last-node="">76,000 accepting buyouts.</strong></span></p>
</li>
<li data-start="1465" data-end="1547">
<p data-start="1467" data-end="1547"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Mental health crises, depressions, and even suicides among federal employees have spiked, as many feel unfairly targeted and demoralized.</span></p>
</li>
</ul>
<h3 data-start="1554" data-end="1592">Summary: Known Estimates by State</h3>
<div class="_tableContainer_1rjym_1">
<div class="_tableWrapper_1rjym_13 group flex w-fit flex-col-reverse" tabindex="-1">
<table class="w-fit min-w-(--thread-content-width)" data-start="1594" data-end="2953">
<thead data-start="1594" data-end="1706">
<tr data-start="1594" data-end="1706">
<th data-start="1594" data-end="1612" data-col-size="sm">State</th>
<th data-start="1612" data-end="1633" data-col-size="sm">Job Losses</th>
<th data-start="1633" data-end="1706" data-col-size="md">Notes</th>
</tr>
</thead>
<tbody data-start="1820" data-end="2953">
<tr data-start="1820" data-end="1955">
<td data-start="1820" data-end="1837" data-col-size="sm"><strong data-start="1822" data-end="1834">Maryland</strong></td>
<td data-col-size="sm" data-start="1837" data-end="1859">~12,700</td>
<td data-col-size="md" data-start="1859" data-end="1955"><span class="relative -mx-px my-&#091;-0.2rem&#093; rounded px-px py-&#091;0.2rem&#093; transition-colors duration-100 ease-in-out">Largest federal job loss in the nation</span></td>
</tr>
<tr data-start="1956" data-end="2099">
<td data-start="1956" data-end="1973" data-col-size="sm"><strong data-start="1958" data-end="1970">Virginia</strong></td>
<td data-start="1973" data-end="2012" data-col-size="sm">Indirect losses: ~39k (10% scenario)</td>
<td data-col-size="md" data-start="2012" data-end="2099">Modeling predicts broad economic impact</td>
</tr>
<tr data-start="2100" data-end="2234">
<td data-start="2100" data-end="2120" data-col-size="sm"><strong data-start="2102" data-end="2119">West Virginia</strong></td>
<td data-start="2120" data-end="2139" data-col-size="sm">~400</td>
<td data-col-size="md" data-start="2139" data-end="2234">Likely understated given delays</td>
</tr>
<tr data-start="2235" data-end="2370">
<td data-start="2235" data-end="2265" data-col-size="sm"><strong data-start="2237" data-end="2264">Nationwide Clean Energy</strong></td>
<td data-start="2265" data-end="2297" data-col-size="sm">20,000+ lost / 40,000 at risk</td>
<td data-col-size="md" data-start="2297" data-end="2370">Policy rollback effects</td>
</tr>
<tr data-start="2371" data-end="2510">
<td data-start="2371" data-end="2399" data-col-size="sm"><strong data-start="2373" data-end="2398">Nationwide Healthcare</strong></td>
<td data-start="2399" data-end="2417" data-col-size="sm">408,000 by 2034</td>
<td data-start="2417" data-end="2510" data-col-size="md">Medicaid cuts impact healthcare jobs</td>
</tr>
<tr data-start="2511" data-end="2656">
<td data-start="2511" data-end="2537" data-col-size="sm"><strong data-start="2513" data-end="2536">Biomedical Research</strong></td>
<td data-start="2537" data-end="2552" data-col-size="sm">≥58,000 jobs</td>
<td data-start="2552" data-end="2656" data-col-size="md">NIH funding cuts could suppress state-level research funding</td>
</tr>
<tr data-start="2657" data-end="2804">
<td data-start="2657" data-end="2692" data-col-size="sm"><strong data-start="2659" data-end="2691">Federal Workforce Nationwide</strong></td>
<td data-start="2692" data-end="2711" data-col-size="sm">290,000+ layoffs</td>
<td data-start="2711" data-end="2804" data-col-size="md">Civil service reductions via DOGE</td>
</tr>
<tr data-start="2805" data-end="2953">
<td data-start="2805" data-end="2842" data-col-size="sm"><strong data-start="2807" data-end="2841">Mental Health/Emotional Damage</strong></td>
<td data-start="2842" data-end="2856" data-col-size="sm">Substantial</td>
<td data-start="2856" data-end="2953" data-col-size="md">At least 130k impacted, leading to severe human costs</td>
</tr>
</tbody>
</table>
</div>
</div>
<hr data-start="2955" data-end="2958" />
<h3 data-start="2960" data-end="2975">In Summary</h3>
<p data-start="2977" data-end="3298">The Trump administration’s sweeping cuts have had devastating ripple effects across the U.S. federal workforce and state economies—particularly in states like Maryland and Virginia. Yet, comprehensive data by state remains incomplete, with many downstream losses in healthcare, clean energy, and research still unfolding.</p>
<p data-start="3300" data-end="3530">These local stories underscore a broader national crisis: deepening unemployment, brain drain, weakened public services, and human suffering that could have long-term consequences unless addressed in budget and policy discussions.</p>
<p data-start="3300" data-end="3530">#TrumpJobCuts #JobLosses #Layoffs2025 #FederalJobCuts #StateJobLosses #PublicSectorLayoffs #TrumpAdministration #WorkforceCuts #CleanEnergyJobs #HealthcareJobs #ResearchJobs #USJobCrisis #MarylandJobLosses #VirginiaLayoffs #WestVirginiaJobs #PoorNormanBlog #PoliticsAndJobs #TrumpPolicies #JobLossTracker #USPolitics</p>
<p data-start="3300" data-end="3530"><a href="https://poornorman.com">Poor Norman</a></p></div>
			</div>
			</div>			
				
				
				
				
			</div>		
				
				
			</div><p>The post <a href="https://poornorman.com/how-many-jobs-have-been-lost-due-to-trumps-cuts-by-state/">How Many Jobs Have Been Lost Due to Trump’s Cuts — by State</a> first appeared on <a href="https://poornorman.com">Poor Norman News</a>.</p>]]></content:encoded>
					
					<wfw:commentRss>https://poornorman.com/how-many-jobs-have-been-lost-due-to-trumps-cuts-by-state/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
