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Carolinas Lead U.S. Domestic Migration as Florida Declines

PUBLISHED Jan 31, 2026, 8:21 AM ET

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Carolinas Lead U.S. Domestic Migration as Florida Declines

Media Bias Meter

Sources: 6

Center 100%

Sources: 6

Orlando, Fla. — North Carolina and South Carolina drew the largest domestic inflows in the United States this past year, according to U.S. Census Bureau figures released this week. North Carolina gained 84,000 residents relocating from other states while South Carolina recorded the highest percentage growth at 1.5 percent. Texas saw slowed domestic migration with about 67,300 arrivals, and Florida fell to eighth in state-to-state migration. Reported household anecdotes illustrate moves out of Florida. The data derive from census migration tallies and were summarized by the Associated Press and multiple local outlets. Based on 6 articles reviewed and supporting research verification.

By Ayesha A. | JQJO News

Timeline of Events

U.S. Census Bureau compiles and releases the latest state-to-state domestic migration data covering the most recent year.
Associated Press publishes a summary dispatch interpreting the census figures and headline state shifts.
Multiple regional and national outlets republish the AP story to local audiences.
Census data indicate North Carolina added about 84,000 domestic migrants and South Carolina posted 1.5% growth.
Reports note Texas slowed to roughly 67,300 domestic arrivals while Florida dropped to eighth in state-to-state migration rankings.

Media Bias

Articles Published:: 6
Right Leaning:: 0
Left Leaning:: 0
Neutral:: 6
Distribution:: Left 0%, Center 100%, Right 0%

Who Benefited

State and local governments, real estate developers, employers, and businesses in North Carolina and South Carolina benefited from increased domestic migration through expanded tax bases, greater consumer demand, and heightened housing market activity.

Who Impacted

States that lost relative domestic migration momentum, notably Florida and Texas according to the census figures, may face slower housing demand growth, potential labor-market imbalances, and challenges to prior revenue and infrastructure planning assumptions.