US Supreme Court restores Texas voting map favored by Republicans

The US Supreme Court has restored a Texas congressional map crafted by Republican lawmakers, a decision that could reshape several House districts and intensify the fight for control of Congress in the 2026 elections.

In an unsigned order, the Courts conservative majority agreed to overturn a lower court ruling that had blocked the map. The reinstated boundaries, backed by former President Donald Trump, have the potential to shift up to five House seats from Democrats to Republicans. The lower court had previously ruled that the map likely violated constitutional protections by discriminating on the basis of race. All three liberal justices dissented.

The ruling arrives as Republicans hold narrow advantages in both chambers of Congress. Losing either the House or Senate in 2026 could undermine Trumps legislative goals and expose his administration to Democratic-led investigations.

Supreme Court Criticizes Lower Court Intervention

The justices said the district court overstepped by disrupting an active primary season and unsettling the balance of federal and state authority over elections. They also noted that challengers to the map had not presented an alternative plan that aligned with the states stated political objectives.

The decision comes amid national battles over redistricting in both Republican- and Democratic-led states, as lawmakers seek to redraw boundaries to strengthen partisan advantages.

Dissent Highlights Constitutional Concerns

Justice Elena Kagan, joined by Justices Sonia Sotomayor and Ketanji Brown Jackson, criticized the ruling, arguing that it would impose electoral districts shaped by racial considerations without adequate justification. She warned that maintaining the map for the upcoming elections could place many Texans in districts drawn because of race, which she said violates constitutional protections.

Texas Officials Celebrate Decision

Texas Attorney General Ken Paxton welcomed the ruling, calling it a significant victory for the state and for conservatives. He said the map reflects Texass current political landscape and pushed back against lawsuits seeking to challenge it.

Justice Samuel Alito had temporarily halted the lower courts ruling in November as the Supreme Court considered the issue.

Longstanding Redistricting Disputes

Redistricting, the process of redrawing congressional boundaries, has been subject to decades of legal battles. In 2019, the Supreme Court ruled that partisan gerrymandering falls outside the jurisdiction of federal courts, though racial gerrymandering remains unconstitutional under the 14th and 15th Amendments.

The El Paso-based district court had previously found the Texas map to be an unlawful racial gerrymander and ordered the state to use its earlier 2021 map for the 2026 elections. Texas currently holds 25 of its 38 House seats under Republican control.

Debate Over Racial and Partisan Motivations

The challenged map was passed by the Republican-controlled legislature and signed by Governor Greg Abbott. US District Judge Jeffrey Brown, a Trump appointee, wrote that the push for redrawing the map stemmed from a Justice Department letter urging Texas to adjust districts based on racial composition. Brown argued that the DOJ analysis was legally flawed and focused solely on race, not partisanship.

The NAACP responded by emphasizing that although only 40% of Texass population is white, white voters hold more than 70% of its congressional seats.

Broader Political Implications

The Supreme Courts decision follows Californias approval of a new congressional map benefiting Democrats, prompting a lawsuit from the Trump administration seeking to block it. While redistricting typically follows census data, this cycle has been driven heavily by strategies to secure partisan advantage.

The Court is also weighing another key redistricting case involving Louisiana, where conservative justices signaled a willingness to weaken additional provisions of the Voting Rights Act.

Author: Aiden Foster