Federal Executive Branch
Here's a look at documents from the U.S. Executive Branch
Federal Agencies
Featured Stories
White House: President Trump Announces Arrival of First One Million Barrels of Oil in Texas Thanks to Historic Oil Deal
WASHINGTON, Oct. 29 -- The White House issued the following news:
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President Trump Announces Arrival of First One Million Barrels of Oil in Texas Thanks to Historic Oil Deal
October 28, 2026
"This historic win gives us control over a massive part of the world's oil supply." - President Donald J. Trump
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Yesterday in Corpus Christi, Texas, President Donald J. Trump announced the arrival of the first million barrels of oil secured by the Trump Administration as part of the President's historic Venezuela oil deal--with all oil coming to America at no cost to the United States or the American ... Show Full Article WASHINGTON, Oct. 29 -- The White House issued the following news: * * * President Trump Announces Arrival of First One Million Barrels of Oil in Texas Thanks to Historic Oil Deal October 28, 2026 "This historic win gives us control over a massive part of the world's oil supply." - President Donald J. Trump - Yesterday in Corpus Christi, Texas, President Donald J. Trump announced the arrival of the first million barrels of oil secured by the Trump Administration as part of the President's historic Venezuela oil deal--with all oil coming to America at no cost to the United States or the Americantaxpayer.
This first shipment of oil will be refined in the Lone Star State, supporting American jobs, and increasing domestic supply to lower Americans' prices at the pump.
From Alaska to Texas, President Trump is unleashing America's energy dominance--making the Western Hemisphere the energy capital of the world--and Americans will benefit as gasoline and diesel prices come plummeting down!
President Trump's bold foreign policy is driving America First wins: this deal more than doubles our strategic reserves--delivering 65 billion barrels in total, dramatically bolsters our oil supply, and helps deliver lower gas prices for the American people--costing taxpayers nothing! No other President and no other Administration could deliver such historic results for the American people.
President Trump continues to secure major deals to unleash energy dominance and reverse the Democrats' failed anti-energy and Green New Scam policies to cut energy costs for all Americans.
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Original text here: https://www.whitehouse.gov/releases/2026/10/president-trump-announces-arrival-of-first-one-million-barrels-of-oil-in-texas-thanks-to-historic-oil-deal/
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President Trump Announces Arrival of First One Million Barrels of Oil in Texas Thanks to Historic Oil Deal
October 28, 2026
"This historic win gives us control over a massive part of the world's oil supply." - President Donald J. Trump
-
Yesterday in Corpus Christi, Texas, President Donald J. Trump announced the arrival of the first million barrels of oil secured by the Trump Administration as part of the President's historic Venezuela oil deal--with all oil coming to America at no cost to the United States or the American ... Show Full Article WASHINGTON, Oct. 29 -- The White House issued the following news: * * * President Trump Announces Arrival of First One Million Barrels of Oil in Texas Thanks to Historic Oil Deal October 28, 2026 "This historic win gives us control over a massive part of the world's oil supply." - President Donald J. Trump - Yesterday in Corpus Christi, Texas, President Donald J. Trump announced the arrival of the first million barrels of oil secured by the Trump Administration as part of the President's historic Venezuela oil deal--with all oil coming to America at no cost to the United States or the Americantaxpayer.
This first shipment of oil will be refined in the Lone Star State, supporting American jobs, and increasing domestic supply to lower Americans' prices at the pump.
From Alaska to Texas, President Trump is unleashing America's energy dominance--making the Western Hemisphere the energy capital of the world--and Americans will benefit as gasoline and diesel prices come plummeting down!
President Trump's bold foreign policy is driving America First wins: this deal more than doubles our strategic reserves--delivering 65 billion barrels in total, dramatically bolsters our oil supply, and helps deliver lower gas prices for the American people--costing taxpayers nothing! No other President and no other Administration could deliver such historic results for the American people.
President Trump continues to secure major deals to unleash energy dominance and reverse the Democrats' failed anti-energy and Green New Scam policies to cut energy costs for all Americans.
* * *
Original text here: https://www.whitehouse.gov/releases/2026/10/president-trump-announces-arrival-of-first-one-million-barrels-of-oil-in-texas-thanks-to-historic-oil-deal/
State Department Issues Public Schedule for Oct. 29, 2026
WASHINGTON, Oct. 29 -- The U.S. Department of State issued the daily public schedule for Oct. 29, 2026:
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SECRETARY MARCO RUBIO
9:00 a.m. Secretary Rubio meets with Finnish Foreign Minister Elina Valtonen at the Department of State.
(CLOSED PRESS COVERAGE)
9:30 a.m. Secretary Rubio and Finnish Foreign Minister Elina Valtonen participate in a Memorandum of Understanding Signing Ceremony on a Critical Minerals Framework and a Technology Prosperity Deal at the Department of State.
(OPEN PRESS COVERAGE)
Call time for video cameras, still cameras, and writers is 9:00 a.m. from the 23rd Street ... Show Full Article WASHINGTON, Oct. 29 -- The U.S. Department of State issued the daily public schedule for Oct. 29, 2026: * * * SECRETARY MARCO RUBIO 9:00 a.m. Secretary Rubio meets with Finnish Foreign Minister Elina Valtonen at the Department of State. (CLOSED PRESS COVERAGE) 9:30 a.m. Secretary Rubio and Finnish Foreign Minister Elina Valtonen participate in a Memorandum of Understanding Signing Ceremony on a Critical Minerals Framework and a Technology Prosperity Deal at the Department of State. (OPEN PRESS COVERAGE) Call time for video cameras, still cameras, and writers is 9:00 a.m. from the 23rd Streetentrance.
All press must be escorted to the camera spray by State Department personnel. Please refer to media access information for details.
11:00 a.m. Secretary Rubio and Hungarian Foreign Minister Anita Orban participate in a Memorandums of Understanding Signing Ceremony on Energy Infrastructure and Regional Energy Security and on Law Enforcement Cooperation and Information Exchange at the Department of State.
(OPEN PRESS COVERAGE)
Call time for video cameras, still cameras, and writers is 10:30 a.m. from the 23rd Street entrance.
All press must be escorted to the camera spray by State Department personnel. Please refer to media access information for details.
11:15 a.m. Secretary Rubio meets with Hungarian Foreign Minister Anita Orban at the Department of State.
(CLOSED PRESS COVERAGE)
DEPUTY SECRETARY CHRISTOPHER LANDAU
Deputy Secretary Landau attends meetings and briefings at the Department of State.
UNDER SECRETARY FOR POLITICAL AFFAIRS ALLISON M. HOOKER
9:00 a.m. Under Secretary Hooker joins Secretary Rubio's meeting with Finnish Foreign Minister Elina Valtonen at the Department of State.
11:15 a.m. Under Secretary Hooker joins Secretary Rubio's meeting with Hungarian Foreign Minister Anita Orban at the Department of State.
3:15 p.m. Under Secretary Hooker meets with Romanian National Security Advisor Marius Lazurca at the Department of State.
(CLOSED PRESS COVERAGE)
UNDER SECRETARY FOR ARMS CONTROL AND INTERNATIONAL SECURITY THOMAS G. DINANNO
11:15 a.m. Under Secretary DiNanno joins Secretary Rubio's meeting with Hungarian Foreign Minister Anita Orban at the Department of State.
2:30 p.m. Under Secretary DiNanno meets with Peruvian Charge d'Affaires to the United States Alberto Gonzales at the Department of State.
(CLOSED PRESS COVERAGE)
UNDER SECRETARY FOR PUBLIC DIPLOMACY SARAH ROGERS
Under Secretary Rogers is on travel to Panama, El Salvador, Mexico, and Florida from October 26-November 4, 2026.
BRIEFING SCHEDULE
No Department Press Briefing.
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Original text here: https://www.state.gov/releases/office-of-the-spokesman/2026/10/public-schedule-october-29-2026/
* * *
SECRETARY MARCO RUBIO
9:00 a.m. Secretary Rubio meets with Finnish Foreign Minister Elina Valtonen at the Department of State.
(CLOSED PRESS COVERAGE)
9:30 a.m. Secretary Rubio and Finnish Foreign Minister Elina Valtonen participate in a Memorandum of Understanding Signing Ceremony on a Critical Minerals Framework and a Technology Prosperity Deal at the Department of State.
(OPEN PRESS COVERAGE)
Call time for video cameras, still cameras, and writers is 9:00 a.m. from the 23rd Street ... Show Full Article WASHINGTON, Oct. 29 -- The U.S. Department of State issued the daily public schedule for Oct. 29, 2026: * * * SECRETARY MARCO RUBIO 9:00 a.m. Secretary Rubio meets with Finnish Foreign Minister Elina Valtonen at the Department of State. (CLOSED PRESS COVERAGE) 9:30 a.m. Secretary Rubio and Finnish Foreign Minister Elina Valtonen participate in a Memorandum of Understanding Signing Ceremony on a Critical Minerals Framework and a Technology Prosperity Deal at the Department of State. (OPEN PRESS COVERAGE) Call time for video cameras, still cameras, and writers is 9:00 a.m. from the 23rd Streetentrance.
All press must be escorted to the camera spray by State Department personnel. Please refer to media access information for details.
11:00 a.m. Secretary Rubio and Hungarian Foreign Minister Anita Orban participate in a Memorandums of Understanding Signing Ceremony on Energy Infrastructure and Regional Energy Security and on Law Enforcement Cooperation and Information Exchange at the Department of State.
(OPEN PRESS COVERAGE)
Call time for video cameras, still cameras, and writers is 10:30 a.m. from the 23rd Street entrance.
All press must be escorted to the camera spray by State Department personnel. Please refer to media access information for details.
11:15 a.m. Secretary Rubio meets with Hungarian Foreign Minister Anita Orban at the Department of State.
(CLOSED PRESS COVERAGE)
DEPUTY SECRETARY CHRISTOPHER LANDAU
Deputy Secretary Landau attends meetings and briefings at the Department of State.
UNDER SECRETARY FOR POLITICAL AFFAIRS ALLISON M. HOOKER
9:00 a.m. Under Secretary Hooker joins Secretary Rubio's meeting with Finnish Foreign Minister Elina Valtonen at the Department of State.
11:15 a.m. Under Secretary Hooker joins Secretary Rubio's meeting with Hungarian Foreign Minister Anita Orban at the Department of State.
3:15 p.m. Under Secretary Hooker meets with Romanian National Security Advisor Marius Lazurca at the Department of State.
(CLOSED PRESS COVERAGE)
UNDER SECRETARY FOR ARMS CONTROL AND INTERNATIONAL SECURITY THOMAS G. DINANNO
11:15 a.m. Under Secretary DiNanno joins Secretary Rubio's meeting with Hungarian Foreign Minister Anita Orban at the Department of State.
2:30 p.m. Under Secretary DiNanno meets with Peruvian Charge d'Affaires to the United States Alberto Gonzales at the Department of State.
(CLOSED PRESS COVERAGE)
UNDER SECRETARY FOR PUBLIC DIPLOMACY SARAH ROGERS
Under Secretary Rogers is on travel to Panama, El Salvador, Mexico, and Florida from October 26-November 4, 2026.
BRIEFING SCHEDULE
No Department Press Briefing.
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Original text here: https://www.state.gov/releases/office-of-the-spokesman/2026/10/public-schedule-october-29-2026/
FCC: Carr Proposes Crackdown on Bad Actors' Access to U.S. Phone Numbers
WASHINGTON, Oct. 29 -- The Federal Communications Commission issued the following news release:
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Carr Proposes Crackdown on Bad Actors' Access to U.S. Phone Numbers
Upcoming Vote Marks Latest Step in the Commission's Crusade Against Illegal Robocalls
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WASHINGTON, October 28, 2026--Today, Chairman Brendan Carr proposed the latest measures in the FCC's crusade against illegal robocalls and effort to protect U.S. national security. Next month, the Commission will vote on new rules aimed at preventing bad actors from obtaining access to the telephone numbers that are necessary for them to ... Show Full Article WASHINGTON, Oct. 29 -- The Federal Communications Commission issued the following news release: * * * Carr Proposes Crackdown on Bad Actors' Access to U.S. Phone Numbers Upcoming Vote Marks Latest Step in the Commission's Crusade Against Illegal Robocalls - WASHINGTON, October 28, 2026--Today, Chairman Brendan Carr proposed the latest measures in the FCC's crusade against illegal robocalls and effort to protect U.S. national security. Next month, the Commission will vote on new rules aimed at preventing bad actors from obtaining access to the telephone numbers that are necessary for them tolaunch illegal robocalling campaigns. If adopted by the Commission next month, these rules would require new national security-focused certifications and improved authorization processes before anyone can get access to phone numbers. The item will also seek comment on adopting additional safeguards.
Chairman Carr issued the following statement:
"With this decision, the FCC will be strengthening our first line of defense against bad actors and illegal robocallers. We are going to enhance the vetting process that all providers must go through before they obtain access to telephone numbers. This will make it substantially more difficult for bad actors to operate in our networks. This step is part of our broader effort to look at every portion of the lifecycle of a call and make it more difficult for illegal robocalls to get through."
Additional Background Information:
The Order shared with the FCC Commissioners today would modify the Commission's VoIP numbering authorization rules to require new national security-focused certifications. These changes aim to protect numbering resources from entities identified on the Commission's Covered List. The rules would also increase transparency and further streamline the review and management of the authorization process by the FCC's Wireline Competition Bureau.
The item proposed today also includes a Further Notice of Proposed Rulemaking which would seek comment on additional proposals to strengthen the FCC's direct access rules with important robocalling and national security-focused certifications and disclosures, including measures to protect U.S. telecommunications networks against foreign adversaries and other cybersecurity and physical security risks. It also seeks comment on administrative proposals to clarify the Bureau's application review and oversight authority, further increase transparency regarding the providers that apply for and receive direct access to numbers, and ensure that all VoIP numbering authorizations continue to serve the public interest.
Bad actors are known to obtain large quantities of numbers to avoid robocall mitigation measures to continue exploiting American consumers. To address this problem, the Commission has adopted a series of policy changes to modernize and safeguard the VoIP number authorization process. In March, the Commission proposed expanded certification and disclosure requirements to all providers that receive telephone numbering resources - directly or indirectly, and to increase visibility into what entities are doing with these finite resources - to stop scammers from exploiting gaps in the system. Also, last year, the FCC voted to apply its robocall, public safety, and national security compliance certification and disclosure requirements to all interconnected VoIP providers that directly access U.S. numbering resources. Today's proposal will be voted at the November meeting and the public draft of the item will be available tomorrow at: https://www.fcc.gov/November2026.
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Original text here: https://docs.fcc.gov/public/attachments/DOC-426264A1.pdf
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Carr Proposes Crackdown on Bad Actors' Access to U.S. Phone Numbers
Upcoming Vote Marks Latest Step in the Commission's Crusade Against Illegal Robocalls
-
WASHINGTON, October 28, 2026--Today, Chairman Brendan Carr proposed the latest measures in the FCC's crusade against illegal robocalls and effort to protect U.S. national security. Next month, the Commission will vote on new rules aimed at preventing bad actors from obtaining access to the telephone numbers that are necessary for them to ... Show Full Article WASHINGTON, Oct. 29 -- The Federal Communications Commission issued the following news release: * * * Carr Proposes Crackdown on Bad Actors' Access to U.S. Phone Numbers Upcoming Vote Marks Latest Step in the Commission's Crusade Against Illegal Robocalls - WASHINGTON, October 28, 2026--Today, Chairman Brendan Carr proposed the latest measures in the FCC's crusade against illegal robocalls and effort to protect U.S. national security. Next month, the Commission will vote on new rules aimed at preventing bad actors from obtaining access to the telephone numbers that are necessary for them tolaunch illegal robocalling campaigns. If adopted by the Commission next month, these rules would require new national security-focused certifications and improved authorization processes before anyone can get access to phone numbers. The item will also seek comment on adopting additional safeguards.
Chairman Carr issued the following statement:
"With this decision, the FCC will be strengthening our first line of defense against bad actors and illegal robocallers. We are going to enhance the vetting process that all providers must go through before they obtain access to telephone numbers. This will make it substantially more difficult for bad actors to operate in our networks. This step is part of our broader effort to look at every portion of the lifecycle of a call and make it more difficult for illegal robocalls to get through."
Additional Background Information:
The Order shared with the FCC Commissioners today would modify the Commission's VoIP numbering authorization rules to require new national security-focused certifications. These changes aim to protect numbering resources from entities identified on the Commission's Covered List. The rules would also increase transparency and further streamline the review and management of the authorization process by the FCC's Wireline Competition Bureau.
The item proposed today also includes a Further Notice of Proposed Rulemaking which would seek comment on additional proposals to strengthen the FCC's direct access rules with important robocalling and national security-focused certifications and disclosures, including measures to protect U.S. telecommunications networks against foreign adversaries and other cybersecurity and physical security risks. It also seeks comment on administrative proposals to clarify the Bureau's application review and oversight authority, further increase transparency regarding the providers that apply for and receive direct access to numbers, and ensure that all VoIP numbering authorizations continue to serve the public interest.
Bad actors are known to obtain large quantities of numbers to avoid robocall mitigation measures to continue exploiting American consumers. To address this problem, the Commission has adopted a series of policy changes to modernize and safeguard the VoIP number authorization process. In March, the Commission proposed expanded certification and disclosure requirements to all providers that receive telephone numbering resources - directly or indirectly, and to increase visibility into what entities are doing with these finite resources - to stop scammers from exploiting gaps in the system. Also, last year, the FCC voted to apply its robocall, public safety, and national security compliance certification and disclosure requirements to all interconnected VoIP providers that directly access U.S. numbering resources. Today's proposal will be voted at the November meeting and the public draft of the item will be available tomorrow at: https://www.fcc.gov/November2026.
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Original text here: https://docs.fcc.gov/public/attachments/DOC-426264A1.pdf
FBI Jacksonville Honors NASCAR Security With Director's Community Leadership Award
WASHINGTON, Oct. 29 -- The FBI issued the following news release:
* * *
October 28, 2026
FBI Jacksonville Honors NASCAR Security with Director's Community Leadership Award
The FBI Jacksonville Field Office is pleased to announce NASCAR Security as the recipient of the 2025 Director's Community Leadership Award (DCLA) for their partnership with FBI Jacksonville. NASCAR Security continues to contribute to achieving the FBI's mission by expanding access, strengthening relationships, and establishing a security posture that protects both the organization and the public it serves.
"Strong partnerships ... Show Full Article WASHINGTON, Oct. 29 -- The FBI issued the following news release: * * * October 28, 2026 FBI Jacksonville Honors NASCAR Security with Director's Community Leadership Award The FBI Jacksonville Field Office is pleased to announce NASCAR Security as the recipient of the 2025 Director's Community Leadership Award (DCLA) for their partnership with FBI Jacksonville. NASCAR Security continues to contribute to achieving the FBI's mission by expanding access, strengthening relationships, and establishing a security posture that protects both the organization and the public it serves. "Strong partnershipsare essential to keeping our communities and major events safe, and NASCAR Security has consistently demonstrated what that looks like in action," said FBI Jacksonville Special Agent in Charge Jason Carley. "This recognition is a testament to the strength of our partnership and what is possible when the public and private sectors work side by side to protect our communities. NASCAR Security has been an outstanding partner, sharing information, identifying emerging threats and working with us to strengthen security at large-scale events. We are proud to be part of that partnership and look forward to building on its success for years to come."
"Receiving the 2025 DCLA Award is a tremendous honor for NASCAR Security," said Allen Taylor, managing director of NASCAR Security. "Our partnership with the FBI Jacksonville Field Office is a key part of our ongoing efforts to ensure a safe environment at Daytona International Speedway events. We are proud of the strong partnership we have built and the collaborative efforts that help create secure events for all fans, competitors and industry members."
In 2021, the FBI Jacksonville Community Outreach team developed a close partnership with NASCAR Security. We produced a video that discusses how we work together to defend the country's critical infrastructure. This joint effort shows how we can both work together to protect critical digital and operational infrastructure by enhancing cybersecurity readiness, improving incident response planning and ensuring safety and resilience of large-scale public events. In addition to leveraging broader FBI resources, while increasing awareness on cyber enabled crimes, foreign intelligence, and violent crime, NASCAR Security has been credited with fostering new relationships with community leaders across North Florida. Even today--following years of success--this partnership continues to grow, and the outreach is broadening across FBI Jacksonville's territory and the state of Florida.
The NASCAR Security team has developed and supported multiple initiatives to help increase community awareness of the FBI's mission and public-safety priorities. These include public safety messaging at major events, co-branded cybersecurity awareness campaigns, and participating in community engagement opportunities that bring fans and federal partners together. This collaboration also includes joint efforts to protect NASCAR's systems, employees, drivers and millions of fans from cybercriminals.
The FBI Director's Community Leadership Award was formally created in 1990 to honor individuals and organizations for their extraordinary contributions to the prevention of crime and violence in the community. Every year FBI field offices around the country select a community partner to receive the award. FBI Jacksonville has previously honored retired NAS Pensacola Captain Timothy F. "Lucky" Kinsella, Jr., Duval County Public Schools Parent Academy, and Pastor Korey O'Neal.
For more information about this prestigious award, please go to fbi.gov/dcla. For media inquiries, please email ccoennen@fbi.gov.
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Original text here: https://www.fbi.gov/news/press-releases
* * *
October 28, 2026
FBI Jacksonville Honors NASCAR Security with Director's Community Leadership Award
The FBI Jacksonville Field Office is pleased to announce NASCAR Security as the recipient of the 2025 Director's Community Leadership Award (DCLA) for their partnership with FBI Jacksonville. NASCAR Security continues to contribute to achieving the FBI's mission by expanding access, strengthening relationships, and establishing a security posture that protects both the organization and the public it serves.
"Strong partnerships ... Show Full Article WASHINGTON, Oct. 29 -- The FBI issued the following news release: * * * October 28, 2026 FBI Jacksonville Honors NASCAR Security with Director's Community Leadership Award The FBI Jacksonville Field Office is pleased to announce NASCAR Security as the recipient of the 2025 Director's Community Leadership Award (DCLA) for their partnership with FBI Jacksonville. NASCAR Security continues to contribute to achieving the FBI's mission by expanding access, strengthening relationships, and establishing a security posture that protects both the organization and the public it serves. "Strong partnershipsare essential to keeping our communities and major events safe, and NASCAR Security has consistently demonstrated what that looks like in action," said FBI Jacksonville Special Agent in Charge Jason Carley. "This recognition is a testament to the strength of our partnership and what is possible when the public and private sectors work side by side to protect our communities. NASCAR Security has been an outstanding partner, sharing information, identifying emerging threats and working with us to strengthen security at large-scale events. We are proud to be part of that partnership and look forward to building on its success for years to come."
"Receiving the 2025 DCLA Award is a tremendous honor for NASCAR Security," said Allen Taylor, managing director of NASCAR Security. "Our partnership with the FBI Jacksonville Field Office is a key part of our ongoing efforts to ensure a safe environment at Daytona International Speedway events. We are proud of the strong partnership we have built and the collaborative efforts that help create secure events for all fans, competitors and industry members."
In 2021, the FBI Jacksonville Community Outreach team developed a close partnership with NASCAR Security. We produced a video that discusses how we work together to defend the country's critical infrastructure. This joint effort shows how we can both work together to protect critical digital and operational infrastructure by enhancing cybersecurity readiness, improving incident response planning and ensuring safety and resilience of large-scale public events. In addition to leveraging broader FBI resources, while increasing awareness on cyber enabled crimes, foreign intelligence, and violent crime, NASCAR Security has been credited with fostering new relationships with community leaders across North Florida. Even today--following years of success--this partnership continues to grow, and the outreach is broadening across FBI Jacksonville's territory and the state of Florida.
The NASCAR Security team has developed and supported multiple initiatives to help increase community awareness of the FBI's mission and public-safety priorities. These include public safety messaging at major events, co-branded cybersecurity awareness campaigns, and participating in community engagement opportunities that bring fans and federal partners together. This collaboration also includes joint efforts to protect NASCAR's systems, employees, drivers and millions of fans from cybercriminals.
The FBI Director's Community Leadership Award was formally created in 1990 to honor individuals and organizations for their extraordinary contributions to the prevention of crime and violence in the community. Every year FBI field offices around the country select a community partner to receive the award. FBI Jacksonville has previously honored retired NAS Pensacola Captain Timothy F. "Lucky" Kinsella, Jr., Duval County Public Schools Parent Academy, and Pastor Korey O'Neal.
For more information about this prestigious award, please go to fbi.gov/dcla. For media inquiries, please email ccoennen@fbi.gov.
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Original text here: https://www.fbi.gov/news/press-releases
CBP Interception Leads to Federal Conviction and 27-year Sentence in Joint Child Exploitation Investigation
WASHINGTON, Oct. 29 -- The U.S. Department of Homeland Security Customs and Border Protection issued the following news release:
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CBP interception leads to federal conviction and 27-year sentence in joint child exploitation investigation
10/28/2026
HOUSTON -- U.S. Customs and Border Protection officers at the Area Port of Houston/Galveston announced the successful conclusion of a joint federal investigation resulting in the sentencing of Travis Jerrad McQuiston Reed to 327 months in prison for child sexual exploitation material (CSEM) offenses. Reed, 34, pleaded guilty in April to one ... Show Full Article WASHINGTON, Oct. 29 -- The U.S. Department of Homeland Security Customs and Border Protection issued the following news release: * * * CBP interception leads to federal conviction and 27-year sentence in joint child exploitation investigation 10/28/2026 HOUSTON -- U.S. Customs and Border Protection officers at the Area Port of Houston/Galveston announced the successful conclusion of a joint federal investigation resulting in the sentencing of Travis Jerrad McQuiston Reed to 327 months in prison for child sexual exploitation material (CSEM) offenses. Reed, 34, pleaded guilty in April to onecount of sexual exploitation of a child.
The case began on Nov. 2, 2025, when CBP officers processing passengers at the Port of Galveston cruise terminal referred an individual for further inspection. During the secondary inspection, CBP officers discovered CSEM on the individual's electronic media.
CBP immediately coordinated with Homeland Security Investigations, with HSI Galveston playing a crucial role in the preliminary investigation alongside the HSI Dallas Child Exploitation Group to secure evidence and facilitate forensic analysis. This cooperative interagency response ensured the swift preservation of evidence and initiated a comprehensive federal investigation.
"The steadfast vigilance of our CBP officers at the Port of Galveston directly interrupted a dangerous threat and set a comprehensive federal investigation into motion," said CBP Acting Director of Field Operations Leslie Fleming-Luczkowski. "Thanks to the seamless collaboration between our frontline personnel, Homeland Security Investigations, and the U.S. Attorney's Office, a predator has been brought to justice with a significant federal sentence. We remain unwavering in our commitment to protecting the most vulnerable and dismantling child exploitation networks."
"The federal government has no tolerance for anyone who preys on children, and this sentence reflects that reality," said North District of Texas U.S. Attorney Ryan Raybould. "Anyone who believes they can exploit a child in North Texas and escape accountability is gravely mistaken. In this District, federal law enforcement will find you, we will prosecute you and you will face a sentence measured in decades as the defendant is in this case. I am grateful to our partners at CBP and HSI for their swift work that stopped Reed from continuing to harm children."
"This lengthy sentence reflects the horrific nature of crimes that exploit children," said Antwoine Jones, Deputy Special Agent in Charge, HSI Dallas. "Alongside our law enforcement partners, HSI will not stop pursuing those who prey on innocent and vulnerable children. Protecting children and holding offenders accountable remain among our highest priorities."
The case was prosecuted by the U.S. Attorney's Office, Northern District of Texas, leading to the recent federal conviction and a sentence of 327 months. This collaborative effort underscores the critical role that frontline border inspections play in identifying threats, protecting vulnerable communities, and bringing offenders to justice.
Fulfilling President Donald J. Trump's mandate, and under the leadership of DHS Secretary Markwayne Mullin, CBP is steadfast in its partnership with HSI, federal prosecutors, and law enforcement partners to safeguard children and dismantle child exploitation networks.
* * *
U.S. Customs and Border Protection (CBP) is America's frontline: the nation's largest law enforcement organization and the world's first unified border management agency. The 70,000+ men and women of CBP protect America on the ground, in the air and on the seas. We enforce safe, lawful travel and trade and ensure our country's economic prosperity. We enhance the nation's security through innovation, intelligence, collaboration and trust.
* * *
Original text here: https://www.cbp.gov/newsroom/local-media-release/cbp-interception-leads-federal-conviction-and-27-year-sentence-joint
* * *
CBP interception leads to federal conviction and 27-year sentence in joint child exploitation investigation
10/28/2026
HOUSTON -- U.S. Customs and Border Protection officers at the Area Port of Houston/Galveston announced the successful conclusion of a joint federal investigation resulting in the sentencing of Travis Jerrad McQuiston Reed to 327 months in prison for child sexual exploitation material (CSEM) offenses. Reed, 34, pleaded guilty in April to one ... Show Full Article WASHINGTON, Oct. 29 -- The U.S. Department of Homeland Security Customs and Border Protection issued the following news release: * * * CBP interception leads to federal conviction and 27-year sentence in joint child exploitation investigation 10/28/2026 HOUSTON -- U.S. Customs and Border Protection officers at the Area Port of Houston/Galveston announced the successful conclusion of a joint federal investigation resulting in the sentencing of Travis Jerrad McQuiston Reed to 327 months in prison for child sexual exploitation material (CSEM) offenses. Reed, 34, pleaded guilty in April to onecount of sexual exploitation of a child.
The case began on Nov. 2, 2025, when CBP officers processing passengers at the Port of Galveston cruise terminal referred an individual for further inspection. During the secondary inspection, CBP officers discovered CSEM on the individual's electronic media.
CBP immediately coordinated with Homeland Security Investigations, with HSI Galveston playing a crucial role in the preliminary investigation alongside the HSI Dallas Child Exploitation Group to secure evidence and facilitate forensic analysis. This cooperative interagency response ensured the swift preservation of evidence and initiated a comprehensive federal investigation.
"The steadfast vigilance of our CBP officers at the Port of Galveston directly interrupted a dangerous threat and set a comprehensive federal investigation into motion," said CBP Acting Director of Field Operations Leslie Fleming-Luczkowski. "Thanks to the seamless collaboration between our frontline personnel, Homeland Security Investigations, and the U.S. Attorney's Office, a predator has been brought to justice with a significant federal sentence. We remain unwavering in our commitment to protecting the most vulnerable and dismantling child exploitation networks."
"The federal government has no tolerance for anyone who preys on children, and this sentence reflects that reality," said North District of Texas U.S. Attorney Ryan Raybould. "Anyone who believes they can exploit a child in North Texas and escape accountability is gravely mistaken. In this District, federal law enforcement will find you, we will prosecute you and you will face a sentence measured in decades as the defendant is in this case. I am grateful to our partners at CBP and HSI for their swift work that stopped Reed from continuing to harm children."
"This lengthy sentence reflects the horrific nature of crimes that exploit children," said Antwoine Jones, Deputy Special Agent in Charge, HSI Dallas. "Alongside our law enforcement partners, HSI will not stop pursuing those who prey on innocent and vulnerable children. Protecting children and holding offenders accountable remain among our highest priorities."
The case was prosecuted by the U.S. Attorney's Office, Northern District of Texas, leading to the recent federal conviction and a sentence of 327 months. This collaborative effort underscores the critical role that frontline border inspections play in identifying threats, protecting vulnerable communities, and bringing offenders to justice.
Fulfilling President Donald J. Trump's mandate, and under the leadership of DHS Secretary Markwayne Mullin, CBP is steadfast in its partnership with HSI, federal prosecutors, and law enforcement partners to safeguard children and dismantle child exploitation networks.
* * *
U.S. Customs and Border Protection (CBP) is America's frontline: the nation's largest law enforcement organization and the world's first unified border management agency. The 70,000+ men and women of CBP protect America on the ground, in the air and on the seas. We enforce safe, lawful travel and trade and ensure our country's economic prosperity. We enhance the nation's security through innovation, intelligence, collaboration and trust.
* * *
Original text here: https://www.cbp.gov/newsroom/local-media-release/cbp-interception-leads-federal-conviction-and-27-year-sentence-joint
BLS Issues Report on Metropolitan Area Employment and Unemployment September 2026
WASHINGTON, Oct. 29 (TNSLrpt) -- Metropolitan Area Employment and Unemployment September 2026 - A report from U.S. Department of Labor Bureau of Labor Statistics - Oct. 28, 2026 (24 pages)
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Unemployment rates were lower in September than a year earlier in 226 of the 387 metropolitan areas, higher in 138 areas, and unchanged in 23 areas, the U.S. Bureau of Labor Statistics reported today. A total of 48 areas had jobless rates of less than 3.0 percent, and 5 areas had rates of at least 8.0 percent. Nonfarm payroll employment increased over the year in 11 metropolitan areas, decreased in 3 ... Show Full Article WASHINGTON, Oct. 29 (TNSLrpt) -- Metropolitan Area Employment and Unemployment September 2026 - A report from U.S. Department of Labor Bureau of Labor Statistics - Oct. 28, 2026 (24 pages) * * * Unemployment rates were lower in September than a year earlier in 226 of the 387 metropolitan areas, higher in 138 areas, and unchanged in 23 areas, the U.S. Bureau of Labor Statistics reported today. A total of 48 areas had jobless rates of less than 3.0 percent, and 5 areas had rates of at least 8.0 percent. Nonfarm payroll employment increased over the year in 11 metropolitan areas, decreased in 3areas, and was essentially unchanged in 373 areas. The national unemployment rate in September was 4.0 percent, not seasonally adjusted, little changed from a year earlier.
This news release presents statistics from two monthly programs. The civilian labor force and unemployment data are based on the same concepts and definitions as those used for the national household survey estimates. These data pertain to people by where they reside. The employment data are from an establishment survey that measures nonfarm employment, hours, and earnings by industry. These data pertain to jobs on payrolls defined by where the establishments are located. For more information about the concepts and statistical methodologies used by these two programs, see the Technical Note.
Metropolitan Area Unemployment (Not Seasonally Adjusted)
In September, Bismarck, ND, Rapid City, SD, and Sioux Falls, SD-MN, had the lowest unemployment rates, 1.7 percent each. El Centro, CA, had the highest rate, 20.8 percent, followed by Yuma, AZ, 14.5 percent. A total of 223 areas had September jobless rates below the U.S. rate of 4.0 percent, 145 areas had rates above it, and 19 areas had rates equal to that of the nation. (See table 1 and map 1.)
The largest over-the-year unemployment rate decrease in September occurred in Eagle Pass, TX (-2.5 percentage points), followed by Vineland, NJ (-2.2 points). Twenty-eight other areas had rate decreases of at least 1.0 percentage point. New Haven, CT, and Waterbury-Shelton, CT, had the largest over-the-year rate increases in September (+1.2 percentage points each). Four other areas had rate increases of at least 1.0 percentage point.
Of the 56 metropolitan areas with a 2020 Census population of 1 million or more, Cleveland, OH, had the lowest jobless rate in September, 1.9 percent. Fresno, CA, had the highest rate, 7.3 percent. Thirty-one large areas had over-the-year unemployment rate decreases, 21 had increases, and 4 had no change. The largest rate decline occurred in Cleveland, OH (-1.4 percentage points), followed by Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (-1.2 points). The largest jobless rate increase occurred in Hartford-West Hartford-East Hartford, CT (+1.1 percentage points).
Metropolitan Division Unemployment (Not Seasonally Adjusted)
Thirteen of the most populous metropolitan areas are made up of 37 metropolitan divisions, which are essentially separately identifiable employment centers. In September, Miami-Miami Beach-Kendall, FL, had the lowest division unemployment rate, 1.9 percent, followed by Rockingham County-Strafford County, NH, 2.0 percent. Detroit-Dearborn-Livonia, MI, had the highest rate among the divisions, 6.7 percent. (See table 2.)
In September, 21 metropolitan divisions had over-the-year unemployment rate decreases, 12 had increases, and 4 had no change. The largest declines occurred in Camden, NJ, and Newark, NJ (-1.7 percentage points each). The largest unemployment rate increases from September 2025 occurred in Detroit-Dearborn-Livonia, MI, and Warren-Troy-Farmington Hills, MI (+0.8 percentage point each).
Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted)
In September 2026, nonfarm payroll employment increased over the year in 11 metropolitan areas, decreased in 3 areas, and was essentially unchanged in 373 areas. The largest over-the-year employment increases occurred in Dallas-Fort Worth-Arlington, TX (+43,900), Charlotte-Concord-Gastonia, NC-SC (+25,400), and Salt Lake City-Murray, UT (+22,400). The largest over-the-year percentage gains in employment occurred in Las Cruces, NM, and Myrtle Beach-Conway-North Myrtle Beach, SC (+3.6 percent each), followed by Baton Rouge, LA, and Salt Lake City-Murray, UT (+2.7 percent each). The over-the-year decreases in employment occurred in Washington-Arlington-Alexandria, DC-VA-MD-WV (-61,000, or -1.8 percent), Bloomington, IN (-3,800, or -4.7 percent), and Flagstaff, AZ (-2,800, or -3.9 percent). (See table 3 and map 2.)
Over the year, nonfarm employment increased in 6 metropolitan areas with a 2020 Census population of 1 million or more, decreased in 1 area, and was essentially unchanged in 49 areas. The largest over-the-year percentage increase in employment occurred in Salt Lake City-Murray, UT (+2.7 percent), followed by Raleigh-Cary, NC (+2.3 percent), and Fresno, CA (+1.9 percent). Over the year, employment decreased in Washington-Arlington-Alexandria, DC-VA-MD-WV (-1.8 percent).
Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted)
In September, nonfarm payroll employment decreased in 1 metropolitan division and was essentially unchanged in 36 divisions. The over-the-year decrease in employment occurred in Washington, DC-MD (-41,400, or -3.7 percent). (See table 4.)
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The State Employment and Unemployment news release for October 2026 is scheduled to be published on Friday, November 20, 2026, at 10:00 a.m. (ET). The Metropolitan Area Employment and Unemployment news release for October 2026 is scheduled to be published on Wednesday, December 2, 2026, at 10:00 a.m. (ET).
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Technical Note
This news release presents civilian labor force and unemployment data from the Local Area Unemployment Statistics (LAUS) program (tables 1 and 2) for 387 metropolitan statistical areas, plus 6 areas in Puerto Rico. Estimates for 37 metropolitan divisions also are presented. Nonfarm payroll employment estimates from the Current Employment Statistics (CES) program (tables 3 and 4) are provided for the same areas.
State estimates were previously published in the State Employment and Unemployment news release and are republished in this news release for ease of reference. The LAUS and CES programs are both federal-state cooperative endeavors.
Civilian labor force and unemployment--from the LAUS program
Definitions. The civilian labor force and unemployment data are based on the same concepts and definitions as those used for the official national estimates obtained from the Current Population Survey (CPS), a sample survey of households that is conducted for the Bureau of Labor Statistics (BLS) by the U.S. Census Bureau. The LAUS program measures employed people and unemployed people on a place-of-residence basis. The universe for each is the civilian noninstitutional population 16 years of age and older. Employed people are those who did any work at all for pay or profit in the reference week (typically the week including the 12th of the month) or worked 15 hours or more without pay in a family business or farm, plus those not working who had a job from which they were temporarily absent, whether or not paid, for such reasons as labor-management dispute, illness, or vacation. Unemployed people are those who were not employed during the reference week (based on the definition above), had actively looked for a job sometime in the 4-week period ending with the reference week, and were currently available for work; people on layoff expecting recall need not be looking for work to be counted as unemployed. The civilian labor force is the sum of employed and unemployed people. The unemployment rate is the number of unemployed as a percent of the civilian labor force.
Method of estimation. Estimates for states, the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, and New York City are produced using time-series models with real-time benchmarking to national CPS totals. Model-based estimates are also produced for the following areas and their respective balances: the Chicago-Naperville-Schaumburg, IL Metropolitan Division; Cleveland, OH Metropolitan Statistical Area; Detroit-Warren-Dearborn, MI Metropolitan Statistical Area; Miami-Miami Beach-Kendall, FL Metropolitan Division; and Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area. Modeling improves the statistical basis of the estimation for these areas and provides important tools for analysis, such as measures of errors and seasonally adjusted series. For all other substate areas in this news release, estimates are prepared through indirect estimation procedures using a building-block approach.
Estimates of employed people, which are based largely on "place of work" estimates from the CES program, are adjusted to refer to place of residence as used in the CPS. Unemployment estimates are aggregates of people previously employed in industries covered by state Unemployment Insurance (UI) laws and entrants to the labor force from the CPS. The substate estimates of employment and unemployment, which geographically exhaust the entire state, are adjusted proportionally to ensure that they add to the independently estimated model-based area totals. A detailed description of the estimation procedures is available from BLS upon request.
Annual revisions. Civilian labor force and unemployment data shown for the prior year reflect adjustments made at the beginning of each year, usually implemented with the issuance of January estimates. The adjusted model-based estimates typically reflect updated population data from the U.S. Census Bureau, any revisions in other input data sources, and model re-estimation. All substate estimates then are re-estimated using updated inputs and adjusted to add to the revised model-based totals. In early 2025, implementation of synthetic intercensal population estimates for states and the 2020-based delineations for federal statistical areas necessitated the replacement of substate estimates back to their series beginnings. For more information, see www.bls.gov/lau/geography-and-data-changes-in-2025.htm.
Employment--from the CES program
Definitions. Employment data refer to people on establishment payrolls who receive pay for any part of the pay period that includes the 12th of the month. People are counted at their place of work rather than at their place of residence; those appearing on more than one payroll are counted on each payroll. Industries are classified on the basis of their principal activity in accordance with the 2022 version of the North American Industry Classification System.
Method of estimation. CES State and Area employment data are produced using several estimation procedures. Where possible, these data are produced using a "weighted link relative" estimation technique in which a ratio of current month weighted employment to that of the previous-month weighted employment is computed from a sample of establishments reporting for both months. The estimates of employment for the current month are then obtained by multiplying these ratios by the previous month's employment estimates. The weighted link relative technique is utilized for data series where the sample size meets certain statistical criteria. For some employment series, the estimates are produced with a model that uses direct sample estimates (described above) combined with other regressors to compensate for smaller sample sizes.
Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports that are submitted by employers who are covered under state unemployment insurance (UI) laws. The benchmark information is used to adjust the monthly estimates between the new benchmark and the preceding one and also to establish the level of employment for the new benchmark month. Thus, the benchmarking process establishes the level of employment, and the sample is used to measure the month-to-month changes in the level for the subsequent months. Information on recent benchmark revisions is available online at www.bls.gov/web/laus/benchmark.pdf.
Seasonal adjustment. Payroll employment data are seasonally adjusted for states, metropolitan areas, and metropolitan divisions at the total nonfarm level. For states, data are seasonally adjusted at the supersector level as well. Revisions to historical data for the most recent 5 years are made once a year, coincident with annual benchmark adjustments.
Payroll employment data are seasonally adjusted concurrently, using all available estimates, including those for the current month, to develop sample-based seasonal factors.
Concurrent sample-based factors are created every month for the current month's preliminary estimate as well as the previous month's final estimate.
Reliability of the estimates
The estimates presented in this news release are based on sample surveys, administrative data, and modeling and, thus, are subject to sampling and other types of errors. Sampling error is a measure of sampling variability--that is, variation that occurs by chance because a sample rather than the entire population is surveyed. Survey data also are subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the specific estimation processes used. The sums of individual items may not always equal the totals shown in the same tables because of rounding.
Use of error measures
Civilian labor force and unemployment estimates. Measures of sampling error are not available for metropolitan areas or metropolitan divisions. Model-based error measures for states are available on the BLS website at www.bls.gov/lau/lastderr.htm. Measures of nonsampling error are not available for the areas contained in this news release.
Employment estimates. Changes in metropolitan area nonfarm payroll employment are cited in the analysis of this news release only if they have been determined to be statistically significant at the 90-percent confidence level. Measures of sampling error for the total nonfarm employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/web/laus/790stderr.htm. Measures of sampling error for more detailed series at the area and division level are available upon request. Measures of sampling error for states at the supersector level and for the private service providing, goods-producing, total private and total nonfarm levels are available on the BLS website at www.bls.gov/web/laus/790stderr.htm.
Area definitions
The substate area data published in this news release reflect the delineations issued by the U.S. Office of Management and Budget on July 21, 2023. A detailed list of the geographic definitions is available online at www.bls.gov/lau/lausmsa.htm.
Additional information
Estimates of unadjusted and seasonally adjusted civilian labor force and unemployment data for states and seven substate areas are available in the news release State Employment and Unemployment. Estimates of civilian labor force and unemployment for all states, metropolitan areas, counties, cities with a population of 25,000 or more, and other areas used in the administration of various federal economic assistance programs are available online at www.bls.gov/lau/. Employment data from the CES program for states and metropolitan areas are available on the BLS website at www.bls.gov/sae/.
If you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to access telecommunications relay services.
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LABOR FORCE DATA NOT SEASONALLY ADJUSTED
Table 1. Civilian labor force and unemployment by state and metropolitan area
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
LABOR FORCE DATA NOT SEASONALLY ADJUSTED
Table 2. Civilian labor force and unemployment by state, selected metropolitan area, and metropolitan division1
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, not seasonally adjusted1
Map 1. Unemployment rates for metropolitan areas, not seasonally adjusted, September 2026
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View original text plus charts and tables here: https://www.bls.gov/news.release/pdf/metro.pdf
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Unemployment rates were lower in September than a year earlier in 226 of the 387 metropolitan areas, higher in 138 areas, and unchanged in 23 areas, the U.S. Bureau of Labor Statistics reported today. A total of 48 areas had jobless rates of less than 3.0 percent, and 5 areas had rates of at least 8.0 percent. Nonfarm payroll employment increased over the year in 11 metropolitan areas, decreased in 3 ... Show Full Article WASHINGTON, Oct. 29 (TNSLrpt) -- Metropolitan Area Employment and Unemployment September 2026 - A report from U.S. Department of Labor Bureau of Labor Statistics - Oct. 28, 2026 (24 pages) * * * Unemployment rates were lower in September than a year earlier in 226 of the 387 metropolitan areas, higher in 138 areas, and unchanged in 23 areas, the U.S. Bureau of Labor Statistics reported today. A total of 48 areas had jobless rates of less than 3.0 percent, and 5 areas had rates of at least 8.0 percent. Nonfarm payroll employment increased over the year in 11 metropolitan areas, decreased in 3areas, and was essentially unchanged in 373 areas. The national unemployment rate in September was 4.0 percent, not seasonally adjusted, little changed from a year earlier.
This news release presents statistics from two monthly programs. The civilian labor force and unemployment data are based on the same concepts and definitions as those used for the national household survey estimates. These data pertain to people by where they reside. The employment data are from an establishment survey that measures nonfarm employment, hours, and earnings by industry. These data pertain to jobs on payrolls defined by where the establishments are located. For more information about the concepts and statistical methodologies used by these two programs, see the Technical Note.
Metropolitan Area Unemployment (Not Seasonally Adjusted)
In September, Bismarck, ND, Rapid City, SD, and Sioux Falls, SD-MN, had the lowest unemployment rates, 1.7 percent each. El Centro, CA, had the highest rate, 20.8 percent, followed by Yuma, AZ, 14.5 percent. A total of 223 areas had September jobless rates below the U.S. rate of 4.0 percent, 145 areas had rates above it, and 19 areas had rates equal to that of the nation. (See table 1 and map 1.)
The largest over-the-year unemployment rate decrease in September occurred in Eagle Pass, TX (-2.5 percentage points), followed by Vineland, NJ (-2.2 points). Twenty-eight other areas had rate decreases of at least 1.0 percentage point. New Haven, CT, and Waterbury-Shelton, CT, had the largest over-the-year rate increases in September (+1.2 percentage points each). Four other areas had rate increases of at least 1.0 percentage point.
Of the 56 metropolitan areas with a 2020 Census population of 1 million or more, Cleveland, OH, had the lowest jobless rate in September, 1.9 percent. Fresno, CA, had the highest rate, 7.3 percent. Thirty-one large areas had over-the-year unemployment rate decreases, 21 had increases, and 4 had no change. The largest rate decline occurred in Cleveland, OH (-1.4 percentage points), followed by Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (-1.2 points). The largest jobless rate increase occurred in Hartford-West Hartford-East Hartford, CT (+1.1 percentage points).
Metropolitan Division Unemployment (Not Seasonally Adjusted)
Thirteen of the most populous metropolitan areas are made up of 37 metropolitan divisions, which are essentially separately identifiable employment centers. In September, Miami-Miami Beach-Kendall, FL, had the lowest division unemployment rate, 1.9 percent, followed by Rockingham County-Strafford County, NH, 2.0 percent. Detroit-Dearborn-Livonia, MI, had the highest rate among the divisions, 6.7 percent. (See table 2.)
In September, 21 metropolitan divisions had over-the-year unemployment rate decreases, 12 had increases, and 4 had no change. The largest declines occurred in Camden, NJ, and Newark, NJ (-1.7 percentage points each). The largest unemployment rate increases from September 2025 occurred in Detroit-Dearborn-Livonia, MI, and Warren-Troy-Farmington Hills, MI (+0.8 percentage point each).
Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted)
In September 2026, nonfarm payroll employment increased over the year in 11 metropolitan areas, decreased in 3 areas, and was essentially unchanged in 373 areas. The largest over-the-year employment increases occurred in Dallas-Fort Worth-Arlington, TX (+43,900), Charlotte-Concord-Gastonia, NC-SC (+25,400), and Salt Lake City-Murray, UT (+22,400). The largest over-the-year percentage gains in employment occurred in Las Cruces, NM, and Myrtle Beach-Conway-North Myrtle Beach, SC (+3.6 percent each), followed by Baton Rouge, LA, and Salt Lake City-Murray, UT (+2.7 percent each). The over-the-year decreases in employment occurred in Washington-Arlington-Alexandria, DC-VA-MD-WV (-61,000, or -1.8 percent), Bloomington, IN (-3,800, or -4.7 percent), and Flagstaff, AZ (-2,800, or -3.9 percent). (See table 3 and map 2.)
Over the year, nonfarm employment increased in 6 metropolitan areas with a 2020 Census population of 1 million or more, decreased in 1 area, and was essentially unchanged in 49 areas. The largest over-the-year percentage increase in employment occurred in Salt Lake City-Murray, UT (+2.7 percent), followed by Raleigh-Cary, NC (+2.3 percent), and Fresno, CA (+1.9 percent). Over the year, employment decreased in Washington-Arlington-Alexandria, DC-VA-MD-WV (-1.8 percent).
Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted)
In September, nonfarm payroll employment decreased in 1 metropolitan division and was essentially unchanged in 36 divisions. The over-the-year decrease in employment occurred in Washington, DC-MD (-41,400, or -3.7 percent). (See table 4.)
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The State Employment and Unemployment news release for October 2026 is scheduled to be published on Friday, November 20, 2026, at 10:00 a.m. (ET). The Metropolitan Area Employment and Unemployment news release for October 2026 is scheduled to be published on Wednesday, December 2, 2026, at 10:00 a.m. (ET).
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Technical Note
This news release presents civilian labor force and unemployment data from the Local Area Unemployment Statistics (LAUS) program (tables 1 and 2) for 387 metropolitan statistical areas, plus 6 areas in Puerto Rico. Estimates for 37 metropolitan divisions also are presented. Nonfarm payroll employment estimates from the Current Employment Statistics (CES) program (tables 3 and 4) are provided for the same areas.
State estimates were previously published in the State Employment and Unemployment news release and are republished in this news release for ease of reference. The LAUS and CES programs are both federal-state cooperative endeavors.
Civilian labor force and unemployment--from the LAUS program
Definitions. The civilian labor force and unemployment data are based on the same concepts and definitions as those used for the official national estimates obtained from the Current Population Survey (CPS), a sample survey of households that is conducted for the Bureau of Labor Statistics (BLS) by the U.S. Census Bureau. The LAUS program measures employed people and unemployed people on a place-of-residence basis. The universe for each is the civilian noninstitutional population 16 years of age and older. Employed people are those who did any work at all for pay or profit in the reference week (typically the week including the 12th of the month) or worked 15 hours or more without pay in a family business or farm, plus those not working who had a job from which they were temporarily absent, whether or not paid, for such reasons as labor-management dispute, illness, or vacation. Unemployed people are those who were not employed during the reference week (based on the definition above), had actively looked for a job sometime in the 4-week period ending with the reference week, and were currently available for work; people on layoff expecting recall need not be looking for work to be counted as unemployed. The civilian labor force is the sum of employed and unemployed people. The unemployment rate is the number of unemployed as a percent of the civilian labor force.
Method of estimation. Estimates for states, the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, and New York City are produced using time-series models with real-time benchmarking to national CPS totals. Model-based estimates are also produced for the following areas and their respective balances: the Chicago-Naperville-Schaumburg, IL Metropolitan Division; Cleveland, OH Metropolitan Statistical Area; Detroit-Warren-Dearborn, MI Metropolitan Statistical Area; Miami-Miami Beach-Kendall, FL Metropolitan Division; and Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area. Modeling improves the statistical basis of the estimation for these areas and provides important tools for analysis, such as measures of errors and seasonally adjusted series. For all other substate areas in this news release, estimates are prepared through indirect estimation procedures using a building-block approach.
Estimates of employed people, which are based largely on "place of work" estimates from the CES program, are adjusted to refer to place of residence as used in the CPS. Unemployment estimates are aggregates of people previously employed in industries covered by state Unemployment Insurance (UI) laws and entrants to the labor force from the CPS. The substate estimates of employment and unemployment, which geographically exhaust the entire state, are adjusted proportionally to ensure that they add to the independently estimated model-based area totals. A detailed description of the estimation procedures is available from BLS upon request.
Annual revisions. Civilian labor force and unemployment data shown for the prior year reflect adjustments made at the beginning of each year, usually implemented with the issuance of January estimates. The adjusted model-based estimates typically reflect updated population data from the U.S. Census Bureau, any revisions in other input data sources, and model re-estimation. All substate estimates then are re-estimated using updated inputs and adjusted to add to the revised model-based totals. In early 2025, implementation of synthetic intercensal population estimates for states and the 2020-based delineations for federal statistical areas necessitated the replacement of substate estimates back to their series beginnings. For more information, see www.bls.gov/lau/geography-and-data-changes-in-2025.htm.
Employment--from the CES program
Definitions. Employment data refer to people on establishment payrolls who receive pay for any part of the pay period that includes the 12th of the month. People are counted at their place of work rather than at their place of residence; those appearing on more than one payroll are counted on each payroll. Industries are classified on the basis of their principal activity in accordance with the 2022 version of the North American Industry Classification System.
Method of estimation. CES State and Area employment data are produced using several estimation procedures. Where possible, these data are produced using a "weighted link relative" estimation technique in which a ratio of current month weighted employment to that of the previous-month weighted employment is computed from a sample of establishments reporting for both months. The estimates of employment for the current month are then obtained by multiplying these ratios by the previous month's employment estimates. The weighted link relative technique is utilized for data series where the sample size meets certain statistical criteria. For some employment series, the estimates are produced with a model that uses direct sample estimates (described above) combined with other regressors to compensate for smaller sample sizes.
Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports that are submitted by employers who are covered under state unemployment insurance (UI) laws. The benchmark information is used to adjust the monthly estimates between the new benchmark and the preceding one and also to establish the level of employment for the new benchmark month. Thus, the benchmarking process establishes the level of employment, and the sample is used to measure the month-to-month changes in the level for the subsequent months. Information on recent benchmark revisions is available online at www.bls.gov/web/laus/benchmark.pdf.
Seasonal adjustment. Payroll employment data are seasonally adjusted for states, metropolitan areas, and metropolitan divisions at the total nonfarm level. For states, data are seasonally adjusted at the supersector level as well. Revisions to historical data for the most recent 5 years are made once a year, coincident with annual benchmark adjustments.
Payroll employment data are seasonally adjusted concurrently, using all available estimates, including those for the current month, to develop sample-based seasonal factors.
Concurrent sample-based factors are created every month for the current month's preliminary estimate as well as the previous month's final estimate.
Reliability of the estimates
The estimates presented in this news release are based on sample surveys, administrative data, and modeling and, thus, are subject to sampling and other types of errors. Sampling error is a measure of sampling variability--that is, variation that occurs by chance because a sample rather than the entire population is surveyed. Survey data also are subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the specific estimation processes used. The sums of individual items may not always equal the totals shown in the same tables because of rounding.
Use of error measures
Civilian labor force and unemployment estimates. Measures of sampling error are not available for metropolitan areas or metropolitan divisions. Model-based error measures for states are available on the BLS website at www.bls.gov/lau/lastderr.htm. Measures of nonsampling error are not available for the areas contained in this news release.
Employment estimates. Changes in metropolitan area nonfarm payroll employment are cited in the analysis of this news release only if they have been determined to be statistically significant at the 90-percent confidence level. Measures of sampling error for the total nonfarm employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/web/laus/790stderr.htm. Measures of sampling error for more detailed series at the area and division level are available upon request. Measures of sampling error for states at the supersector level and for the private service providing, goods-producing, total private and total nonfarm levels are available on the BLS website at www.bls.gov/web/laus/790stderr.htm.
Area definitions
The substate area data published in this news release reflect the delineations issued by the U.S. Office of Management and Budget on July 21, 2023. A detailed list of the geographic definitions is available online at www.bls.gov/lau/lausmsa.htm.
Additional information
Estimates of unadjusted and seasonally adjusted civilian labor force and unemployment data for states and seven substate areas are available in the news release State Employment and Unemployment. Estimates of civilian labor force and unemployment for all states, metropolitan areas, counties, cities with a population of 25,000 or more, and other areas used in the administration of various federal economic assistance programs are available online at www.bls.gov/lau/. Employment data from the CES program for states and metropolitan areas are available on the BLS website at www.bls.gov/sae/.
If you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to access telecommunications relay services.
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LABOR FORCE DATA NOT SEASONALLY ADJUSTED
Table 1. Civilian labor force and unemployment by state and metropolitan area
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
Table 1. Civilian labor force and unemployment by state and metropolitan area -- Continued
LABOR FORCE DATA NOT SEASONALLY ADJUSTED
Table 2. Civilian labor force and unemployment by state, selected metropolitan area, and metropolitan division1
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted -- Continued
Table 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, not seasonally adjusted1
Map 1. Unemployment rates for metropolitan areas, not seasonally adjusted, September 2026
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View original text plus charts and tables here: https://www.bls.gov/news.release/pdf/metro.pdf
BLS Issues Report on Business Employment Dynamics First Quarter 2026
WASHINGTON, Oct. 29 (TNSLrpt) -- Business Employment Dynamics First Quarter 2026 - A report from U.S. Department of Labor Bureau of Labor Statistics - Oct. 28, 2026 (18 pages)
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From December 2025 to March 2026, gross job gains from expanding and opening private-sector establishments were 7.4 million, a decrease of 478,000 jobs from the previous quarter, the U.S. Bureau of Labor Statistics reported today. Over this period, gross job losses from contracting and closing private-sector establishments were 7.3 million, an increase of 43,000 jobs from the previous quarter. (See chart 1, and tables ... Show Full Article WASHINGTON, Oct. 29 (TNSLrpt) -- Business Employment Dynamics First Quarter 2026 - A report from U.S. Department of Labor Bureau of Labor Statistics - Oct. 28, 2026 (18 pages) * * * From December 2025 to March 2026, gross job gains from expanding and opening private-sector establishments were 7.4 million, a decrease of 478,000 jobs from the previous quarter, the U.S. Bureau of Labor Statistics reported today. Over this period, gross job losses from contracting and closing private-sector establishments were 7.3 million, an increase of 43,000 jobs from the previous quarter. (See chart 1, and tablesA and 1.)
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Chart 1. Total private-sector gross job gains and gross job losses, seasonally adjusted
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The change in the number of jobs over time is the net result of increases and decreases in employment that occur at all private businesses in the economy. Business Employment Dynamics (BED) statistics track these changes in employment at private-sector establishments from the third month of one quarter to the third month of the next. The difference between the number of gross job gains and the number of gross job losses is the net change in employment. (See Technical Note.) The BED data series include gross job gains and gross job losses by industry subsector for the 50 states, the District of Columbia, Puerto Rico, and the Virgin Islands, as well as gross job gains and gross job losses at the firm level by employer size class.
Gross Job Gains
In the first quarter of 2026, gross job gains represented 5.5 percent of private-sector employment. Gross job gains are the sum of increases in employment due to expansions at existing establishments and the addition of new jobs at opening establishments. Expanding establishments gained 5.9 million jobs in the first quarter of 2026, and opening establishments gained 1.5 million jobs. (See charts 2 and 3, and tables A, 1, 2, and 3.)
Gross Job Losses
In the first quarter of 2026, gross job losses represented 5.5 percent of private-sector employment. Gross job losses are the result of contractions in employment at existing establishments and the loss of jobs at closing establishments. Contracting establishments lost 5.8 million jobs in the first quarter of 2026, and closing establishments lost 1.5 million jobs. (See charts 2 and 3, and tables A, 1, 2, and 3.)
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Chart 2. Private-sector gross job gains at expanding establishments and gross job losses at contracting establishments, seasonally adjusted
Chart 3. Private-sector gross job gains at opening establishments and gross job losses at closing establishments, seasonally adjusted
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Establishment Births and Deaths
In the first quarter of 2026, there were 323,000 establishment births which accounted for 949,000 jobs. Data for establishment deaths are available through the second quarter of 2025, when 923,000 jobs were lost at 310,000 establishments. (See Technical Note and table 8.)
Firm Size
In the first quarter of 2026, firms with 1 to 49 employees had a net employment decrease of 67,000. Firms with 50 to 249 employees experienced a net employment loss of 5,000. Firms with 250 or more employees added 255,000 net jobs. (See tables 4 and 5.)
States
Gross job gains surpassed gross job losses in 29 states and the Virgin Islands in the first quarter of 2026. (See tables 6 and 7.)
Industries
Gross job gains exceeded gross job losses in 6 out of 13 industry sectors in the first quarter of 2026. The service-providing industries experienced a net job loss of 8,000. The goods-producing industries had a net job increase of 96,000. (See table 3.)
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Table A. Three-month private-sector gross job gains and losses, seasonally adjusted
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For More Information
Additional information on gross job gains and gross job losses is available online at www.bls.gov/bdm. This information includes data for the levels and rates of gross job gains and gross job losses by firm size, not seasonally adjusted data and seasonally adjusted time series not presented in this release, charts of gross job gains and gross job losses by industry and firm size, and answers to frequently asked questions. Additional information about the Business Employment Dynamics data can be found in the Technical Note of this release or can be obtained by emailing BDMinfo@bls.gov.
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The Business Employment Dynamics news release for Second Quarter 2026 is scheduled to be published on Wednesday, January 27, 2027, at 10:00 a.m. (ET).
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Revisions to Business Employment Dynamics (BED) Data
The release of First Quarter 2026 Business Employment Dynamics data incorporates annual revisions in accordance with standard procedures. The revisions include the previous 4 quarters of not seasonally adjusted data and 5 years of seasonally adjusted data. Charts in the PDF version of the press release have been modified to show the most recent 5 years of seasonally adjusted data.
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Technical Note
The Business Employment Dynamics (BED) data are a product of a federal-state cooperative program known as the Quarterly Census of Employment and Wages (QCEW). The BED data are compiled by the U.S. Bureau of Labor Statistics (BLS) from existing QCEW records. Most employers in the U.S. are required to file quarterly reports on the employment and wages of workers covered by unemployment insurance (UI) laws and to pay quarterly UI taxes. The QCEW is based largely on quarterly UI reports which are sent by businesses to the State Workforce Agencies (SWAs). These UI reports are supplemented by two additional BLS data collections to render administrative data into economic statistics. Together these data comprise the QCEW and form the basis of the Bureau's establishment universe sampling frame.
These reports are used to produce the quarterly QCEW data on total employment and wages and the longitudinal BED data on gross job gains and losses. The QCEW is also the employment benchmark for the Current Employment Statistics (CES), Occupational Employment Statistics (OES), and Job Openings and Labor Turnover Survey (JOLTS) programs and is a major input to the Bureau of Economic Analysis's Personal Income Accounts.
In the BED program, the quarterly QCEW records are linked across quarters to provide a longitudinal history for each establishment. The linkage process allows the tracking of net employment changes at the establishment level, which in turn allows the estimation of jobs gained at opening and expanding units and jobs lost at closing and contracting units.
Differences between QCEW, BED, and CES employment measures
The Bureau publishes three different establishment-based employment measures for any given quarter. Each of these measures--Quarterly Census of Employment and Wages, Business Employment Dynamics, and Current Employment Statistics--makes use of the quarterly UI employment reports in producing data; however, each measure has a somewhat different universe coverage, estimation procedure, and publication product.
Differences in coverage and estimation methods can result in somewhat different measures of employment change over time. It is important to understand program differences and the intended uses of the program products. (See table.) Additional information on each program can be obtained from the program websites shown in the table.
Coverage
Employment and wage data for workers covered by state UI and Unemployment Compensation for Federal Employees (UCFE) laws are compiled from quarterly contribution reports submitted to the SWAs by employers. In addition to the quarterly contribution reports, employers who operate multiple establishments within a state complete a questionnaire, called the "Multiple Worksite Report," which provides detailed information on the location of their establishments. These reports are based on place of employment rather than place of residence. UI and UCFE coverage is broad and basically comparable from state to state.
Major exclusions from UI coverage are self-employed workers, religious organizations, most agricultural workers on small farms, all members of the Armed Forces, elected officials in most states, most employees of railroads, some domestic workers, most student workers at schools, and employees of certain small nonprofit organizations.
Gross job gains and gross job losses in this release are derived from longitudinal histories of 9.5 million private-sector employer reports out of 12.4 million total reports of employment and wages submitted by states to BLS in the first quarter of 2026. Gross job gains and gross job losses data in this release do not report estimates for government employees or private households (NAICS 814110) and do not include establishments with zero employment in both previous and current quarters. Data from Puerto Rico and the Virgin Islands are also excluded from the national data. The table below shows, in millions of establishments, the number of establishments excluded from the national gross job gains and gross job losses data in the first quarter of 2026.
Number of active establishments included in Business Employment Dynamics data at the national level
Millions
Total establishments QCEW program..........12.4
Excluded: Public sector....................... 0.3
Private households............... 0.2
Zero employment................. 2.4
Total establishments included in Business Employment Dynamics data.....................9.5
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Summary of Major Differences between QCEW, BED, and CES Employment Measures
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Unit of analysis
Establishments are used in the tabulation of the BED statistics by industry, and firms are used in the tabulation of the BED size class statistics. An establishment is defined as an economic unit that produces goods or services, usually at a single physical location, and engages in one or predominantly one activity. A firm is a legal business, either corporate or otherwise, and may consist of several establishments. Firm-level data are compiled based on an aggregation of establishments under common ownership by a corporate parent using employer tax identification numbers. The firm level aggregation, which is consistent with the role of corporations as the economic decision makers, is used for the measurement of BED data elements by size class.
Because of the difference in the unit of analysis, total gross job gains and gross job losses by size class are lower than total gross job gains and gross job losses by industry, as some establishment gains and losses within a firm are offset during the aggregation process.
However, the total net changes in employment are the same for not seasonally adjusted data and are similar for seasonally adjusted data.
Concepts and methodology
The Business Employment Dynamics data measure the net change in employment at the establishment or firm level. These changes come about in one of four ways. A net increase in employment can come from either opening units or expanding units. A net decrease in employment can come from either closing units or contracting units.
Gross job gains include the sum of all jobs added at either opening or expanding units. Gross job losses include the sum of all jobs lost in either closing or contracting units. The net change in employment is the difference between gross job gains and gross job losses.
The formal definitions of employment changes are as follows:
Openings. These are either units with positive third month employment for the first time in the current quarter, with no links to the prior quarter, or with positive third month employment in the current quarter following zero employment in the previous quarter.
Expansions. These are units with positive employment in the third month in both the previous and current quarters, with a net increase in employment over this period.
Closings. These are units with positive third month employment in the previous quarter and either not reported, or reported with zero employment, in the current quarter.
Contractions. These are units with positive employment in the third month in both the previous and current quarters, with a net decrease in employment over this period.
Births. These are units with positive third month employment for the first time in the current quarter with no links to the prior quarter, or units with positive third month employment in the current quarter and zero employment in the third month of the previous four quarters.
Births are a subset of openings not including re-openings of seasonal businesses.
Deaths. These are units with no employment or zero employment reported in the third month of four consecutive quarters following the last quarter with positive employment. Deaths are a subset of closings not including temporary shutdowns of seasonal businesses. A unit that closes during the quarter may be a death, but we wait three quarters to determine whether it is a permanent closing or a temporary shutdown. Therefore, there is always a lag of three quarters for the publication of death statistics.
All employment changes are measured from the third month of the previous quarter to the third month of the current quarter. Not all establishments and firms change their employment levels. Units with no change in employment count towards estimates of total employment, but not for levels of gross job gains and gross job losses.
Gross job gains and gross job losses are expressed as rates by dividing their levels by the average of employment in the current and previous quarters. This provides a symmetric growth rate. The rates are calculated for the components of gross job gains and gross job losses and then summed to form their respective totals. These rates can be added and subtracted just as their levels can. For instance, the difference between the gross job gains rate and the gross job losses rate is the net growth rate.
Establishment Births and Deaths
For the purpose of BED statistics, births are defined as establishments that appear in the longitudinal database for the first time with positive employment in the third month of a quarter, or showed four consecutive quarters of zero employment in the third month followed by a quarter in which it shows positive employment in the third month. Similarly, deaths are defined as establishments that either drop out of the longitudinal database or establishments that had positive employment in the third month of a given quarter followed by four consecutive quarters of showing zero employment in the third month. Although the data for establishment births and deaths are tabulated independently from the data for openings and closings, the concepts are not mutually exclusive. An establishment that is defined as a birth in a given quarter is necessarily an opening as well, and an establishment defined as a death in a quarter must also be a closing. Since openings include seasonal and other re-openings, and closings include temporary shutdowns, the not seasonally adjusted values for births and deaths must be less than those for openings and closings. However, because some BED series do not have many re-openings or temporary shutdowns, as well as the fact that births and deaths are independently seasonally adjusted from openings and closings, there may be instances in which the seasonally adjusted value of the former is greater than the latter.
Linkage methodology
Prior to the measurement of gross job gains and gross job losses, QCEW records are linked across two quarters. The linkage process matches establishments' unique SWA identification numbers (SWAID). Between 95 and 97 percent of establishments identified as continuous from quarter to quarter are matched by SWA-ID. The rest are linked in one of three ways. The first method uses predecessor and successor information, identified by the states, which relates records with different SWA-IDs across quarters. Predecessor and successor relations can come about for a variety of reasons, including a change in ownership, a firm restructuring, or a UI account restructuring. If a match cannot be attained in this manner, a probability-based match is used. This match attempts to identify two establishments with different SWA-IDs as continuous. The match is based upon comparisons such as the same name, address, and phone number. Third, an analyst examines unmatched records individually and makes a possible match.
In order to ensure the highest possible quality of data, SWAs verify with employers and update, if necessary, the industry, location, and ownership classification of all establishments on a 3-year cycle. Changes in establishment classification codes resulting from the verification process are introduced with the data reported for the first quarter of the year. Changes resulting from improved employer reporting also are introduced in the first quarter.
Sizing methodology
The method of dynamic sizing is used in calculations for the BED size class data series. Dynamic sizing allocates each firm's employment gain or loss during a quarter to each respective size class in which the change occurred. For example, if a firm grew from 2 employees in quarter 1 to 38 employees in quarter 2, then, of the 36-employee increase, 2 would be allocated to the first size class, 5 to the size class 5 to 9, 10 to size class 10 to 19, and 19 to size class 20 to 49.
Dynamic sizing provides symmetrical firm-size estimates and eliminates any systematic effects which may be caused by the transitory and reverting changes in firms' sizes over time. Additionally, it allocates each job gain or loss to the actual size class where it occurred.
Annual Data
The annual gross job gains and gross job losses measure the net change in employment at the establishment level from the third month of a quarter in the previous year to the third month of the same quarter in the current year. The BLS publishes annual BED data based on March-to-March changes once a year with the release of the first quarter BED data. The annual data based on over-the-year changes for other quarters of the year are available upon request. The definitions and methodology in measuring annual gross job gains and gross job losses are similar to the quarterly measures. The linkage method considers all predecessor and successor relations that may come about due to changes in ownership and corporate restructuring over the entire year. At the establishment level, some of the quarterly job gains and job losses are offset during the estimation over the year. Therefore, the sum of four quarters of gross job gains and gross job losses are not equal to annual gross job gains and gross job losses. The net change in employment over the year, however, is equal to the sum of four quarterly net changes on a not seasonally adjusted basis.
Seasonal adjustment
Over the course of a year, the levels of employment and the associated job flows undergo sharp fluctuations due to such seasonal events as changes in the weather, reduced or expanded production, harvests, major holidays, and the opening and closing of schools. The effect of such seasonal variation can be very large.
Because these seasonal events follow a more or less regular pattern each year, their influence can be eliminated by adjusting these statistics from quarter to quarter. These adjustments make nonseasonal developments, such as declines in economic activity, easier to recognize. For example, the large number of youths taking summer jobs is likely to obscure other changes that have taken place in June relative to March, making it difficult to determine if the level of economic activity has risen or declined. However, because the effect of students finishing school in previous years is known, the statistics for the current year can be adjusted to allow for a comparable change. The adjusted figures provide a more useful tool with which to analyze changes in economic activity.
The employment data series for opening, expanding, closing, and contracting units are independently seasonally adjusted; net changes are calculated based on the difference between gross job gains and gross job losses. Similarly, for industry data, the establishment counts data series for opening, expanding, closing, and contracting establishments are independently adjusted, and the net changes are calculated based on the difference between the number of opening and closing establishments. Additionally, establishment and employment levels are independently seasonally adjusted to calculate the seasonally adjusted rates. Concurrent seasonal adjustment is run using X-13 ARIMA-SEATS. Seasonally adjusted data series for total private are the sum of seasonally adjusted data of all sectors including the unclassified sector, which is not separately published.
The net over-the-quarter change derived by summing the BED component series will differ from the net employment change estimated from the seasonally adjusted total private employment series from the CES program. The intended use of BED statistics is to show the dynamic labor market changes that underlie the net employment change statistic. As such, data users interested particularly in the net employment change and not in the gross job flows underlying this change should refer to CES data for over-the-quarter net employment changes.
Reliability of the data
Since the data series on Business Employment Dynamics are based on administrative rather than sample data, there are no issues related to sampling error. Nonsampling error, however, still exists. Nonsampling errors can occur for many reasons, such as the employer submitting corrected employment data after the end of the quarter or typographical errors made by businesses when providing information. Such errors, however, are likely to be distributed randomly throughout the dataset.
Changes in administrative data sometimes create complications for the linkage process. This can result in overstating openings and closings while understating expansions and contractions. The BLS continues to refine methods for improving the linkage process to alleviate the effects of these complications.
The BED data series are subject to periodic minor changes based on corrections in QCEW records, updates on predecessors and successors information, and seasonal adjustment revisions.
Annual revisions are published each year with the release of the first quarter data. These revisions cover the last four quarters of not seasonally adjusted data and 5 years of seasonally adjusted data.
Additional statistics and other information
Several other programs within BLS produce closely related information. The QCEW program provides both quarterly and annual estimates of employment by state, county, and detailed industry. News releases on quarterly county employment and wages and the annual bulletin also are available upon request from the Division of Administrative Statistics and Labor Turnover (Quarterly Census of Employment and Wages), phone number: (202) 691-6567; (www.bls.gov/cew/); (e-mail: QCEWInfo@bls.gov).
The Current Employment Statistics program produces monthly estimates of employment, its net change, hours, and earnings by detailed industry. These estimates are part of the Employment Situation report put out monthly by BLS.
The Job Openings and Labor Turnover Survey program provides monthly measures of job openings, as well as employee hires and separations.
If you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to access telecommunications relay services.
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Table 1. Private-sector gross job gains and losses, seasonally adjusted
Table 2. Private-sector gross job gains and losses as a percent of employment,1 seasonally adjusted
Table 3. Private-sector gross job gains and losses by industry, seasonally adjusted
Table 3. Private-sector gross job gains and losses by industry, seasonally adjusted -- Continued
Table 3. Private-sector gross job gains and losses by industry, seasonally adjusted --Continued
Table 4. Private-sector gross job gains and losses by firm size, seasonally adjusted
Table 5. Components of private-sector gross job gains and losses by firm size, seasonally adjusted
Table 6. Private-sector gross job gains and losses by state, seasonally adjusted
Table 7. Private-sector gross job gains and losses as a percent of total employment by state, seasonally adjusted
Table 8. Private-sector establishment births and deaths, seasonally adjusted
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View original text plus charts and tables here: https://www.bls.gov/news.release/pdf/cewbd.pdf
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From December 2025 to March 2026, gross job gains from expanding and opening private-sector establishments were 7.4 million, a decrease of 478,000 jobs from the previous quarter, the U.S. Bureau of Labor Statistics reported today. Over this period, gross job losses from contracting and closing private-sector establishments were 7.3 million, an increase of 43,000 jobs from the previous quarter. (See chart 1, and tables ... Show Full Article WASHINGTON, Oct. 29 (TNSLrpt) -- Business Employment Dynamics First Quarter 2026 - A report from U.S. Department of Labor Bureau of Labor Statistics - Oct. 28, 2026 (18 pages) * * * From December 2025 to March 2026, gross job gains from expanding and opening private-sector establishments were 7.4 million, a decrease of 478,000 jobs from the previous quarter, the U.S. Bureau of Labor Statistics reported today. Over this period, gross job losses from contracting and closing private-sector establishments were 7.3 million, an increase of 43,000 jobs from the previous quarter. (See chart 1, and tablesA and 1.)
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Chart 1. Total private-sector gross job gains and gross job losses, seasonally adjusted
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The change in the number of jobs over time is the net result of increases and decreases in employment that occur at all private businesses in the economy. Business Employment Dynamics (BED) statistics track these changes in employment at private-sector establishments from the third month of one quarter to the third month of the next. The difference between the number of gross job gains and the number of gross job losses is the net change in employment. (See Technical Note.) The BED data series include gross job gains and gross job losses by industry subsector for the 50 states, the District of Columbia, Puerto Rico, and the Virgin Islands, as well as gross job gains and gross job losses at the firm level by employer size class.
Gross Job Gains
In the first quarter of 2026, gross job gains represented 5.5 percent of private-sector employment. Gross job gains are the sum of increases in employment due to expansions at existing establishments and the addition of new jobs at opening establishments. Expanding establishments gained 5.9 million jobs in the first quarter of 2026, and opening establishments gained 1.5 million jobs. (See charts 2 and 3, and tables A, 1, 2, and 3.)
Gross Job Losses
In the first quarter of 2026, gross job losses represented 5.5 percent of private-sector employment. Gross job losses are the result of contractions in employment at existing establishments and the loss of jobs at closing establishments. Contracting establishments lost 5.8 million jobs in the first quarter of 2026, and closing establishments lost 1.5 million jobs. (See charts 2 and 3, and tables A, 1, 2, and 3.)
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Chart 2. Private-sector gross job gains at expanding establishments and gross job losses at contracting establishments, seasonally adjusted
Chart 3. Private-sector gross job gains at opening establishments and gross job losses at closing establishments, seasonally adjusted
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Establishment Births and Deaths
In the first quarter of 2026, there were 323,000 establishment births which accounted for 949,000 jobs. Data for establishment deaths are available through the second quarter of 2025, when 923,000 jobs were lost at 310,000 establishments. (See Technical Note and table 8.)
Firm Size
In the first quarter of 2026, firms with 1 to 49 employees had a net employment decrease of 67,000. Firms with 50 to 249 employees experienced a net employment loss of 5,000. Firms with 250 or more employees added 255,000 net jobs. (See tables 4 and 5.)
States
Gross job gains surpassed gross job losses in 29 states and the Virgin Islands in the first quarter of 2026. (See tables 6 and 7.)
Industries
Gross job gains exceeded gross job losses in 6 out of 13 industry sectors in the first quarter of 2026. The service-providing industries experienced a net job loss of 8,000. The goods-producing industries had a net job increase of 96,000. (See table 3.)
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Table A. Three-month private-sector gross job gains and losses, seasonally adjusted
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For More Information
Additional information on gross job gains and gross job losses is available online at www.bls.gov/bdm. This information includes data for the levels and rates of gross job gains and gross job losses by firm size, not seasonally adjusted data and seasonally adjusted time series not presented in this release, charts of gross job gains and gross job losses by industry and firm size, and answers to frequently asked questions. Additional information about the Business Employment Dynamics data can be found in the Technical Note of this release or can be obtained by emailing BDMinfo@bls.gov.
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The Business Employment Dynamics news release for Second Quarter 2026 is scheduled to be published on Wednesday, January 27, 2027, at 10:00 a.m. (ET).
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Revisions to Business Employment Dynamics (BED) Data
The release of First Quarter 2026 Business Employment Dynamics data incorporates annual revisions in accordance with standard procedures. The revisions include the previous 4 quarters of not seasonally adjusted data and 5 years of seasonally adjusted data. Charts in the PDF version of the press release have been modified to show the most recent 5 years of seasonally adjusted data.
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Technical Note
The Business Employment Dynamics (BED) data are a product of a federal-state cooperative program known as the Quarterly Census of Employment and Wages (QCEW). The BED data are compiled by the U.S. Bureau of Labor Statistics (BLS) from existing QCEW records. Most employers in the U.S. are required to file quarterly reports on the employment and wages of workers covered by unemployment insurance (UI) laws and to pay quarterly UI taxes. The QCEW is based largely on quarterly UI reports which are sent by businesses to the State Workforce Agencies (SWAs). These UI reports are supplemented by two additional BLS data collections to render administrative data into economic statistics. Together these data comprise the QCEW and form the basis of the Bureau's establishment universe sampling frame.
These reports are used to produce the quarterly QCEW data on total employment and wages and the longitudinal BED data on gross job gains and losses. The QCEW is also the employment benchmark for the Current Employment Statistics (CES), Occupational Employment Statistics (OES), and Job Openings and Labor Turnover Survey (JOLTS) programs and is a major input to the Bureau of Economic Analysis's Personal Income Accounts.
In the BED program, the quarterly QCEW records are linked across quarters to provide a longitudinal history for each establishment. The linkage process allows the tracking of net employment changes at the establishment level, which in turn allows the estimation of jobs gained at opening and expanding units and jobs lost at closing and contracting units.
Differences between QCEW, BED, and CES employment measures
The Bureau publishes three different establishment-based employment measures for any given quarter. Each of these measures--Quarterly Census of Employment and Wages, Business Employment Dynamics, and Current Employment Statistics--makes use of the quarterly UI employment reports in producing data; however, each measure has a somewhat different universe coverage, estimation procedure, and publication product.
Differences in coverage and estimation methods can result in somewhat different measures of employment change over time. It is important to understand program differences and the intended uses of the program products. (See table.) Additional information on each program can be obtained from the program websites shown in the table.
Coverage
Employment and wage data for workers covered by state UI and Unemployment Compensation for Federal Employees (UCFE) laws are compiled from quarterly contribution reports submitted to the SWAs by employers. In addition to the quarterly contribution reports, employers who operate multiple establishments within a state complete a questionnaire, called the "Multiple Worksite Report," which provides detailed information on the location of their establishments. These reports are based on place of employment rather than place of residence. UI and UCFE coverage is broad and basically comparable from state to state.
Major exclusions from UI coverage are self-employed workers, religious organizations, most agricultural workers on small farms, all members of the Armed Forces, elected officials in most states, most employees of railroads, some domestic workers, most student workers at schools, and employees of certain small nonprofit organizations.
Gross job gains and gross job losses in this release are derived from longitudinal histories of 9.5 million private-sector employer reports out of 12.4 million total reports of employment and wages submitted by states to BLS in the first quarter of 2026. Gross job gains and gross job losses data in this release do not report estimates for government employees or private households (NAICS 814110) and do not include establishments with zero employment in both previous and current quarters. Data from Puerto Rico and the Virgin Islands are also excluded from the national data. The table below shows, in millions of establishments, the number of establishments excluded from the national gross job gains and gross job losses data in the first quarter of 2026.
Number of active establishments included in Business Employment Dynamics data at the national level
Millions
Total establishments QCEW program..........12.4
Excluded: Public sector....................... 0.3
Private households............... 0.2
Zero employment................. 2.4
Total establishments included in Business Employment Dynamics data.....................9.5
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Summary of Major Differences between QCEW, BED, and CES Employment Measures
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Unit of analysis
Establishments are used in the tabulation of the BED statistics by industry, and firms are used in the tabulation of the BED size class statistics. An establishment is defined as an economic unit that produces goods or services, usually at a single physical location, and engages in one or predominantly one activity. A firm is a legal business, either corporate or otherwise, and may consist of several establishments. Firm-level data are compiled based on an aggregation of establishments under common ownership by a corporate parent using employer tax identification numbers. The firm level aggregation, which is consistent with the role of corporations as the economic decision makers, is used for the measurement of BED data elements by size class.
Because of the difference in the unit of analysis, total gross job gains and gross job losses by size class are lower than total gross job gains and gross job losses by industry, as some establishment gains and losses within a firm are offset during the aggregation process.
However, the total net changes in employment are the same for not seasonally adjusted data and are similar for seasonally adjusted data.
Concepts and methodology
The Business Employment Dynamics data measure the net change in employment at the establishment or firm level. These changes come about in one of four ways. A net increase in employment can come from either opening units or expanding units. A net decrease in employment can come from either closing units or contracting units.
Gross job gains include the sum of all jobs added at either opening or expanding units. Gross job losses include the sum of all jobs lost in either closing or contracting units. The net change in employment is the difference between gross job gains and gross job losses.
The formal definitions of employment changes are as follows:
Openings. These are either units with positive third month employment for the first time in the current quarter, with no links to the prior quarter, or with positive third month employment in the current quarter following zero employment in the previous quarter.
Expansions. These are units with positive employment in the third month in both the previous and current quarters, with a net increase in employment over this period.
Closings. These are units with positive third month employment in the previous quarter and either not reported, or reported with zero employment, in the current quarter.
Contractions. These are units with positive employment in the third month in both the previous and current quarters, with a net decrease in employment over this period.
Births. These are units with positive third month employment for the first time in the current quarter with no links to the prior quarter, or units with positive third month employment in the current quarter and zero employment in the third month of the previous four quarters.
Births are a subset of openings not including re-openings of seasonal businesses.
Deaths. These are units with no employment or zero employment reported in the third month of four consecutive quarters following the last quarter with positive employment. Deaths are a subset of closings not including temporary shutdowns of seasonal businesses. A unit that closes during the quarter may be a death, but we wait three quarters to determine whether it is a permanent closing or a temporary shutdown. Therefore, there is always a lag of three quarters for the publication of death statistics.
All employment changes are measured from the third month of the previous quarter to the third month of the current quarter. Not all establishments and firms change their employment levels. Units with no change in employment count towards estimates of total employment, but not for levels of gross job gains and gross job losses.
Gross job gains and gross job losses are expressed as rates by dividing their levels by the average of employment in the current and previous quarters. This provides a symmetric growth rate. The rates are calculated for the components of gross job gains and gross job losses and then summed to form their respective totals. These rates can be added and subtracted just as their levels can. For instance, the difference between the gross job gains rate and the gross job losses rate is the net growth rate.
Establishment Births and Deaths
For the purpose of BED statistics, births are defined as establishments that appear in the longitudinal database for the first time with positive employment in the third month of a quarter, or showed four consecutive quarters of zero employment in the third month followed by a quarter in which it shows positive employment in the third month. Similarly, deaths are defined as establishments that either drop out of the longitudinal database or establishments that had positive employment in the third month of a given quarter followed by four consecutive quarters of showing zero employment in the third month. Although the data for establishment births and deaths are tabulated independently from the data for openings and closings, the concepts are not mutually exclusive. An establishment that is defined as a birth in a given quarter is necessarily an opening as well, and an establishment defined as a death in a quarter must also be a closing. Since openings include seasonal and other re-openings, and closings include temporary shutdowns, the not seasonally adjusted values for births and deaths must be less than those for openings and closings. However, because some BED series do not have many re-openings or temporary shutdowns, as well as the fact that births and deaths are independently seasonally adjusted from openings and closings, there may be instances in which the seasonally adjusted value of the former is greater than the latter.
Linkage methodology
Prior to the measurement of gross job gains and gross job losses, QCEW records are linked across two quarters. The linkage process matches establishments' unique SWA identification numbers (SWAID). Between 95 and 97 percent of establishments identified as continuous from quarter to quarter are matched by SWA-ID. The rest are linked in one of three ways. The first method uses predecessor and successor information, identified by the states, which relates records with different SWA-IDs across quarters. Predecessor and successor relations can come about for a variety of reasons, including a change in ownership, a firm restructuring, or a UI account restructuring. If a match cannot be attained in this manner, a probability-based match is used. This match attempts to identify two establishments with different SWA-IDs as continuous. The match is based upon comparisons such as the same name, address, and phone number. Third, an analyst examines unmatched records individually and makes a possible match.
In order to ensure the highest possible quality of data, SWAs verify with employers and update, if necessary, the industry, location, and ownership classification of all establishments on a 3-year cycle. Changes in establishment classification codes resulting from the verification process are introduced with the data reported for the first quarter of the year. Changes resulting from improved employer reporting also are introduced in the first quarter.
Sizing methodology
The method of dynamic sizing is used in calculations for the BED size class data series. Dynamic sizing allocates each firm's employment gain or loss during a quarter to each respective size class in which the change occurred. For example, if a firm grew from 2 employees in quarter 1 to 38 employees in quarter 2, then, of the 36-employee increase, 2 would be allocated to the first size class, 5 to the size class 5 to 9, 10 to size class 10 to 19, and 19 to size class 20 to 49.
Dynamic sizing provides symmetrical firm-size estimates and eliminates any systematic effects which may be caused by the transitory and reverting changes in firms' sizes over time. Additionally, it allocates each job gain or loss to the actual size class where it occurred.
Annual Data
The annual gross job gains and gross job losses measure the net change in employment at the establishment level from the third month of a quarter in the previous year to the third month of the same quarter in the current year. The BLS publishes annual BED data based on March-to-March changes once a year with the release of the first quarter BED data. The annual data based on over-the-year changes for other quarters of the year are available upon request. The definitions and methodology in measuring annual gross job gains and gross job losses are similar to the quarterly measures. The linkage method considers all predecessor and successor relations that may come about due to changes in ownership and corporate restructuring over the entire year. At the establishment level, some of the quarterly job gains and job losses are offset during the estimation over the year. Therefore, the sum of four quarters of gross job gains and gross job losses are not equal to annual gross job gains and gross job losses. The net change in employment over the year, however, is equal to the sum of four quarterly net changes on a not seasonally adjusted basis.
Seasonal adjustment
Over the course of a year, the levels of employment and the associated job flows undergo sharp fluctuations due to such seasonal events as changes in the weather, reduced or expanded production, harvests, major holidays, and the opening and closing of schools. The effect of such seasonal variation can be very large.
Because these seasonal events follow a more or less regular pattern each year, their influence can be eliminated by adjusting these statistics from quarter to quarter. These adjustments make nonseasonal developments, such as declines in economic activity, easier to recognize. For example, the large number of youths taking summer jobs is likely to obscure other changes that have taken place in June relative to March, making it difficult to determine if the level of economic activity has risen or declined. However, because the effect of students finishing school in previous years is known, the statistics for the current year can be adjusted to allow for a comparable change. The adjusted figures provide a more useful tool with which to analyze changes in economic activity.
The employment data series for opening, expanding, closing, and contracting units are independently seasonally adjusted; net changes are calculated based on the difference between gross job gains and gross job losses. Similarly, for industry data, the establishment counts data series for opening, expanding, closing, and contracting establishments are independently adjusted, and the net changes are calculated based on the difference between the number of opening and closing establishments. Additionally, establishment and employment levels are independently seasonally adjusted to calculate the seasonally adjusted rates. Concurrent seasonal adjustment is run using X-13 ARIMA-SEATS. Seasonally adjusted data series for total private are the sum of seasonally adjusted data of all sectors including the unclassified sector, which is not separately published.
The net over-the-quarter change derived by summing the BED component series will differ from the net employment change estimated from the seasonally adjusted total private employment series from the CES program. The intended use of BED statistics is to show the dynamic labor market changes that underlie the net employment change statistic. As such, data users interested particularly in the net employment change and not in the gross job flows underlying this change should refer to CES data for over-the-quarter net employment changes.
Reliability of the data
Since the data series on Business Employment Dynamics are based on administrative rather than sample data, there are no issues related to sampling error. Nonsampling error, however, still exists. Nonsampling errors can occur for many reasons, such as the employer submitting corrected employment data after the end of the quarter or typographical errors made by businesses when providing information. Such errors, however, are likely to be distributed randomly throughout the dataset.
Changes in administrative data sometimes create complications for the linkage process. This can result in overstating openings and closings while understating expansions and contractions. The BLS continues to refine methods for improving the linkage process to alleviate the effects of these complications.
The BED data series are subject to periodic minor changes based on corrections in QCEW records, updates on predecessors and successors information, and seasonal adjustment revisions.
Annual revisions are published each year with the release of the first quarter data. These revisions cover the last four quarters of not seasonally adjusted data and 5 years of seasonally adjusted data.
Additional statistics and other information
Several other programs within BLS produce closely related information. The QCEW program provides both quarterly and annual estimates of employment by state, county, and detailed industry. News releases on quarterly county employment and wages and the annual bulletin also are available upon request from the Division of Administrative Statistics and Labor Turnover (Quarterly Census of Employment and Wages), phone number: (202) 691-6567; (www.bls.gov/cew/); (e-mail: QCEWInfo@bls.gov).
The Current Employment Statistics program produces monthly estimates of employment, its net change, hours, and earnings by detailed industry. These estimates are part of the Employment Situation report put out monthly by BLS.
The Job Openings and Labor Turnover Survey program provides monthly measures of job openings, as well as employee hires and separations.
If you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to access telecommunications relay services.
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Table 1. Private-sector gross job gains and losses, seasonally adjusted
Table 2. Private-sector gross job gains and losses as a percent of employment,1 seasonally adjusted
Table 3. Private-sector gross job gains and losses by industry, seasonally adjusted
Table 3. Private-sector gross job gains and losses by industry, seasonally adjusted -- Continued
Table 3. Private-sector gross job gains and losses by industry, seasonally adjusted --Continued
Table 4. Private-sector gross job gains and losses by firm size, seasonally adjusted
Table 5. Components of private-sector gross job gains and losses by firm size, seasonally adjusted
Table 6. Private-sector gross job gains and losses by state, seasonally adjusted
Table 7. Private-sector gross job gains and losses as a percent of total employment by state, seasonally adjusted
Table 8. Private-sector establishment births and deaths, seasonally adjusted
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View original text plus charts and tables here: https://www.bls.gov/news.release/pdf/cewbd.pdf