The southern state became the first state in the country to use a voter roll maintenance database developed by DOGE
The official recently made a trip to Washington, D.C., where she held meetings with White House staff, officials from DOGE, the United States Citizenship and Immigration Services (USCIS), and the Social Security Administration. During these meetings, Landry offered comments and suggestions on the implementation of the new database.
Although Landry highlighted the importance of access to this information to improve the transparency and accuracy of the state electoral system, her office did not specify when the database will officially begin to be used in the voter roll maintenance process.
This announcement sets a national precedent, as Louisiana positions itself as the first state to adopt this federal tool. The measure could generate interest in other jurisdictions seeking to strengthen their controls over voter records, in a context where electoral integrity remains a key issue in the U.S. political debate.
With this initiative, Landry's administration seeks to reinforce public confidence in Louisiana's electoral system and ensure that only eligible individuals are registered to vote.
The Secretary of State of Louisiana, Nancy Landry, announced that her state has become the first to use a new voter roll maintenance database developed by the Department of Government Efficiency (DOGE).
This tool aims to improve the accuracy of voter records by integrating key information, including individuals' immigration status and death records.
According to Landry, this database represents an important step toward greater electoral integrity, as it will allow the purging of voter records by removing deceased individuals or those ineligible due to their immigration status.
The Secretary stated that since the beginning of her administration, she has repeatedly requested access to this data from the federal government to cross-check it with Louisiana's voter list, and she has finally received the necessary cooperation.
