Data / Payroll job growth, 12-month change / Maryland

Payroll job growth, 12-month change in Maryland

Payroll job growth, 12-month change in Maryland was -0.2% in August 2026, according to BLS. That is up 0.8 pts from August 2025. That is the 43rd highest of 51 states in August 2026.

August 2026-0.2% Provisional
Change on August 2025+0.8 pts
Rank43rd of 51US states ranked
Series high10.1April 2021
Series low-13.8April 2020

Next release: Tuesday, 20 October 2026, 10:00 ET, announced by BLS. Release calendar

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Payroll job growth, 12-month change in Maryland, January 1991 to August 2026

-15-10-50510151991-011996-032001-052006-072011-092016-112022-012026-081991-01: -1.8 %1991-02: -2.6 %1991-03: -3.1 %1991-04: -3.5 %1991-05: -3.3 %1991-06: -3.5 %1991-07: -3.6 %1991-08: -3.5 %1991-09: -3.6 %1991-10: -3.2 %1991-11: -2.9 %1991-12: -3 %1992-01: -1.9 %1992-02: -1.9 %1992-03: -1.9 %1992-04: -1.1 %1992-05: -0.9 %1992-06: -1.1 %1992-07: -0.2 %1992-08: -0.5 %1992-09: -0.8 %1992-10: -0.2 %1992-11: -0.5 %1992-12: -0.1 %1993-01: 0.3 %1993-02: 0.7 %1993-03: 0.2 %1993-04: 0.6 %1993-05: 0.9 %1993-06: 1 %1993-07: 1.2 %1993-08: 1.1 %1993-09: 1.4 %1993-10: 1.5 %1993-11: 1.7 %1993-12: 1.8 %1994-01: 1.4 %1994-02: 1 %1994-03: 2.2 %1994-04: 2.2 %1994-05: 2.1 %1994-06: 2.3 %1994-07: 2.1 %1994-08: 2 %1994-09: 2.4 %1994-10: 2.2 %1994-11: 2.4 %1994-12: 2.2 %1995-01: 2.6 %1995-02: 2.7 %1995-03: 2.3 %1995-04: 2.3 %1995-05: 1.7 %1995-06: 1.8 %1995-07: 1.1 %1995-08: 1.7 %1995-09: 1.5 %1995-10: 1.2 %1995-11: 1.2 %1995-12: 1.2 %1996-01: -0.5 %1996-02: 0.7 %1996-03: 1 %1996-04: 0.6 %1996-05: 1.3 %1996-06: 1.4 %1996-07: 1.8 %1996-08: 2 %1996-09: 1.8 %1996-10: 2.2 %1996-11: 2.1 %1996-12: 1.8 %1997-01: 3.6 %1997-02: 2.5 %1997-03: 2.5 %1997-04: 2.4 %1997-05: 2.4 %1997-06: 2.1 %1997-07: 2.5 %1997-08: 2.1 %1997-09: 2.1 %1997-10: 2.2 %1997-11: 2.2 %1997-12: 2.7 %1998-01: 2.7 %1998-02: 2.7 %1998-03: 2.4 %1998-04: 2.2 %1998-05: 2.2 %1998-06: 2.3 %1998-07: 2.1 %1998-08: 2.5 %1998-09: 2.5 %1998-10: 2.5 %1998-11: 2.4 %1998-12: 2.3 %1999-01: 2.2 %1999-02: 2.4 %1999-03: 2.3 %1999-04: 2.9 %1999-05: 2.7 %1999-06: 2.6 %1999-07: 3 %1999-08: 2.5 %1999-09: 2.5 %1999-10: 3 %1999-11: 3 %1999-12: 2.8 %2000-01: 2.8 %2000-02: 2.4 %2000-03: 3 %2000-04: 2.7 %2000-05: 2.6 %2000-06: 2.8 %2000-07: 2.5 %2000-08: 2.7 %2000-09: 3 %2000-10: 2.2 %2000-11: 2.2 %2000-12: 2.4 %2001-01: 1.7 %2001-02: 1.9 %2001-03: 1.2 %2001-04: 0.9 %2001-05: 1 %2001-06: 0.8 %2001-07: 0.4 %2001-08: 0.4 %2001-09: -0.3 %2001-10: 0 %2001-11: -0.1 %2001-12: -0.3 %2002-01: 0.2 %2002-02: 0.3 %2002-03: 0.4 %2002-04: 0.4 %2002-05: 0.3 %2002-06: 0.2 %2002-07: 0.5 %2002-08: 0.4 %2002-09: 0.6 %2002-10: 0.3 %2002-11: 0.3 %2002-12: 0.1 %2003-01: 0.4 %2003-02: -0.2 %2003-03: -0.4 %2003-04: 0.3 %2003-05: 0.4 %2003-06: 0.4 %2003-07: 0.2 %2003-08: 0.1 %2003-09: 0.4 %2003-10: 0.6 %2003-11: 0.5 %2003-12: 0.7 %2004-01: 0.5 %2004-02: 0.9 %2004-03: 1.2 %2004-04: 0.7 %2004-05: 0.8 %2004-06: 0.9 %2004-07: 1.2 %2004-08: 1.3 %2004-09: 1.2 %2004-10: 1.6 %2004-11: 1.6 %2004-12: 1.6 %2005-01: 1.5 %2005-02: 1.7 %2005-03: 1.2 %2005-04: 1.7 %2005-05: 1.6 %2005-06: 1.5 %2005-07: 1.6 %2005-08: 1.7 %2005-09: 2 %2005-10: 1.3 %2005-11: 1.5 %2005-12: 1.4 %2006-01: 1.7 %2006-02: 1.6 %2006-03: 2.2 %2006-04: 1.6 %2006-05: 1.4 %2006-06: 1.5 %2006-07: 1.1 %2006-08: 1 %2006-09: 0.8 %2006-10: 1.1 %2006-11: 1 %2006-12: 1.2 %2007-01: 1.2 %2007-02: 0.7 %2007-03: 0.8 %2007-04: 0.7 %2007-05: 0.9 %2007-06: 0.8 %2007-07: 1 %2007-08: 1 %2007-09: 0.7 %2007-10: 0.6 %2007-11: 0.6 %2007-12: 0.5 %2008-01: 0.4 %2008-02: 0.7 %2008-03: 0.1 %2008-04: 0.4 %2008-05: 0 %2008-06: -0.3 %2008-07: -0.3 %2008-08: -0.5 %2008-09: -0.7 %2008-10: -0.8 %2008-11: -1.3 %2008-12: -1.7 %2009-01: -2.4 %2009-02: -2.7 %2009-03: -2.9 %2009-04: -3.2 %2009-05: -3.1 %2009-06: -2.9 %2009-07: -3.3 %2009-08: -3.3 %2009-09: -3.2 %2009-10: -3 %2009-11: -2.7 %2009-12: -2.5 %2010-01: -2 %2010-02: -3 %2010-03: -1.2 %2010-04: -0.3 %2010-05: -0.1 %2010-06: 0 %2010-07: 0.4 %2010-08: 0.4 %2010-09: 0.6 %2010-10: 0.9 %2010-11: 0.9 %2010-12: 1.2 %2011-01: 1.1 %2011-02: 2.7 %2011-03: 1.5 %2011-04: 0.9 %2011-05: 0.5 %2011-06: 0.5 %2011-07: 1 %2011-08: 0.7 %2011-09: 0.9 %2011-10: 0.9 %2011-11: 0.8 %2011-12: 0.9 %2012-01: 1.3 %2012-02: 1.2 %2012-03: 1.3 %2012-04: 1 %2012-05: 1.1 %2012-06: 1.2 %2012-07: 0.9 %2012-08: 1.2 %2012-09: 1.3 %2012-10: 1.2 %2012-11: 1.2 %2012-12: 1.3 %2013-01: 1.2 %2013-02: 1.1 %2013-03: 1 %2013-04: 1.1 %2013-05: 1.1 %2013-06: 1.2 %2013-07: 1.1 %2013-08: 1 %2013-09: 0.8 %2013-10: 0.6 %2013-11: 0.9 %2013-12: 0.5 %2014-01: 0.4 %2014-02: 0.3 %2014-03: 0.3 %2014-04: 0.6 %2014-05: 0.9 %2014-06: 0.8 %2014-07: 0.7 %2014-08: 1.1 %2014-09: 1.2 %2014-10: 1.3 %2014-11: 1.2 %2014-12: 1.5 %2015-01: 1.3 %2015-02: 1.5 %2015-03: 1.3 %2015-04: 1.4 %2015-05: 1.6 %2015-06: 1.5 %2015-07: 1.7 %2015-08: 1.5 %2015-09: 1.4 %2015-10: 1.8 %2015-11: 1.7 %2015-12: 1.8 %2016-01: 1.6 %2016-02: 1.4 %2016-03: 1.8 %2016-04: 1.6 %2016-05: 1 %2016-06: 1 %2016-07: 1.1 %2016-08: 1.2 %2016-09: 1.5 %2016-10: 1 %2016-11: 1.3 %2016-12: 1.1 %2017-01: 1.3 %2017-02: 1.6 %2017-03: 1.4 %2017-04: 1.1 %2017-05: 1.3 %2017-06: 1.4 %2017-07: 1.1 %2017-08: 0.9 %2017-09: 0.7 %2017-10: 0.9 %2017-11: 0.8 %2017-12: 0.6 %2018-01: 0.7 %2018-02: 0.8 %2018-03: 0.9 %2018-04: 0.9 %2018-05: 0.9 %2018-06: 0.9 %2018-07: 1.1 %2018-08: 1.1 %2018-09: 0.9 %2018-10: 0.9 %2018-11: 1 %2018-12: 0.9 %2019-01: 1.1 %2019-02: 0.8 %2019-03: 0.9 %2019-04: 0.8 %2019-05: 0.7 %2019-06: 0.9 %2019-07: 0.4 %2019-08: 0.3 %2019-09: 0.5 %2019-10: 0.6 %2019-11: 0.6 %2019-12: 0.7 %2020-01: 0.3 %2020-02: 0.4 %2020-03: -0.7 %2020-04: -13.8 %2020-05: -13 %2020-06: -11.2 %2020-07: -8.6 %2020-08: -7.9 %2020-09: -7.2 %2020-10: -6.8 %2020-11: -6.8 %2020-12: -6.5 %2021-01: -6.2 %2021-02: -6.3 %2021-03: -4.8 %2021-04: 10.1 %2021-05: 9.2 %2021-06: 6.9 %2021-07: 5 %2021-08: 4.6 %2021-09: 3.7 %2021-10: 3.7 %2021-11: 3.9 %2021-12: 4.2 %2022-01: 3.2 %2022-02: 4 %2022-03: 2.9 %2022-04: 3.1 %2022-05: 3 %2022-06: 2.5 %2022-07: 2.5 %2022-08: 2.3 %2022-09: 2.7 %2022-10: 1.6 %2022-11: 1.3 %2022-12: 0.6 %2023-01: 1.8 %2023-02: 1.1 %2023-03: 1.6 %2023-04: 1.6 %2023-05: 1.7 %2023-06: 2.5 %2023-07: 1.7 %2023-08: 1.7 %2023-09: 1.3 %2023-10: 1.8 %2023-11: 1.8 %2023-12: 2.1 %2024-01: 3 %2024-02: 2.9 %2024-03: 2.8 %2024-04: 2.2 %2024-05: 2.1 %2024-06: 1.9 %2024-07: 1.9 %2024-08: 1.8 %2024-09: 1.9 %2024-10: 2.1 %2024-11: 2 %2024-12: 1.9 %2025-01: 0.3 %2025-02: 0.3 %2025-03: 0.4 %2025-04: 0 %2025-05: 0 %2025-06: -0.6 %2025-07: -0.9 %2025-08: -1 %2025-09: -1.3 %2025-10: -2.2 %2025-11: -2.2 %2025-12: -2.3 %2026-01: -1.6 %2026-02: -1.8 %2026-03: -1.7 %2026-04: -1.1 %2026-05: -1 %2026-06: -0.7 %2026-07: -0.1 %2026-08: -0.2 %
%. Source: Invokely calculation with data from BLS. Retrieved 2026-10-12, published 2026-09-18.
All 428 values
Period%
2026-08-0.2 Provisional
2026-07-0.1
2026-06-0.7
2026-05-1
2026-04-1.1
2026-03-1.7
2026-02-1.8
2026-01-1.6
2025-12-2.3
2025-11-2.2
2025-10-2.2
2025-09-1.3
2025-08-1
2025-07-0.9
2025-06-0.6
2025-050
2025-040
2025-030.4
2025-020.3
2025-010.3
2024-121.9
2024-112
2024-102.1
2024-091.9
2024-081.8
2024-071.9
2024-061.9
2024-052.1
2024-042.2
2024-032.8
2024-022.9
2024-013
2023-122.1
2023-111.8
2023-101.8
2023-091.3
2023-081.7
2023-071.7
2023-062.5
2023-051.7
2023-041.6
2023-031.6
2023-021.1
2023-011.8
2022-120.6
2022-111.3
2022-101.6
2022-092.7
2022-082.3
2022-072.5
2022-062.5
2022-053
2022-043.1
2022-032.9
2022-024
2022-013.2
2021-124.2
2021-113.9
2021-103.7
2021-093.7
2021-084.6
2021-075
2021-066.9
2021-059.2
2021-0410.1
2021-03-4.8
2021-02-6.3
2021-01-6.2
2020-12-6.5
2020-11-6.8
2020-10-6.8
2020-09-7.2
2020-08-7.9
2020-07-8.6
2020-06-11.2
2020-05-13
2020-04-13.8
2020-03-0.7
2020-020.4
2020-010.3
2019-120.7
2019-110.6
2019-100.6
2019-090.5
2019-080.3
2019-070.4
2019-060.9
2019-050.7
2019-040.8
2019-030.9
2019-020.8
2019-011.1
2018-120.9
2018-111
2018-100.9
2018-090.9
2018-081.1
2018-071.1
2018-060.9
2018-050.9
2018-040.9
2018-030.9
2018-020.8
2018-010.7
2017-120.6
2017-110.8
2017-100.9
2017-090.7
2017-080.9
2017-071.1
2017-061.4
2017-051.3
2017-041.1
2017-031.4
2017-021.6
2017-011.3
2016-121.1
2016-111.3
2016-101
2016-091.5
2016-081.2
2016-071.1
2016-061
2016-051
2016-041.6
2016-031.8
2016-021.4
2016-011.6
2015-121.8
2015-111.7
2015-101.8
2015-091.4
2015-081.5
2015-071.7
2015-061.5
2015-051.6
2015-041.4
2015-031.3
2015-021.5
2015-011.3
2014-121.5
2014-111.2
2014-101.3
2014-091.2
2014-081.1
2014-070.7
2014-060.8
2014-050.9
2014-040.6
2014-030.3
2014-020.3
2014-010.4
2013-120.5
2013-110.9
2013-100.6
2013-090.8
2013-081
2013-071.1
2013-061.2
2013-051.1
2013-041.1
2013-031
2013-021.1
2013-011.2
2012-121.3
2012-111.2
2012-101.2
2012-091.3
2012-081.2
2012-070.9
2012-061.2
2012-051.1
2012-041
2012-031.3
2012-021.2
2012-011.3
2011-120.9
2011-110.8
2011-100.9
2011-090.9
2011-080.7
2011-071
2011-060.5
2011-050.5
2011-040.9
2011-031.5
2011-022.7
2011-011.1
2010-121.2
2010-110.9
2010-100.9
2010-090.6
2010-080.4
2010-070.4
2010-060
2010-05-0.1
2010-04-0.3
2010-03-1.2
2010-02-3
2010-01-2
2009-12-2.5
2009-11-2.7
2009-10-3
2009-09-3.2
2009-08-3.3
2009-07-3.3
2009-06-2.9
2009-05-3.1
2009-04-3.2
2009-03-2.9
2009-02-2.7
2009-01-2.4
2008-12-1.7
2008-11-1.3
2008-10-0.8
2008-09-0.7
2008-08-0.5
2008-07-0.3
2008-06-0.3
2008-050
2008-040.4
2008-030.1
2008-020.7
2008-010.4
2007-120.5
2007-110.6
2007-100.6
2007-090.7
2007-081
2007-071
2007-060.8
2007-050.9
2007-040.7
2007-030.8
2007-020.7
2007-011.2
2006-121.2
2006-111
2006-101.1
2006-090.8
2006-081
2006-071.1
2006-061.5
2006-051.4
2006-041.6
2006-032.2
2006-021.6
2006-011.7
2005-121.4
2005-111.5
2005-101.3
2005-092
2005-081.7
2005-071.6
2005-061.5
2005-051.6
2005-041.7
2005-031.2
2005-021.7
2005-011.5
2004-121.6
2004-111.6
2004-101.6
2004-091.2
2004-081.3
2004-071.2
2004-060.9
2004-050.8
2004-040.7
2004-031.2
2004-020.9
2004-010.5
2003-120.7
2003-110.5
2003-100.6
2003-090.4
2003-080.1
2003-070.2
2003-060.4
2003-050.4
2003-040.3
2003-03-0.4
2003-02-0.2
2003-010.4
2002-120.1
2002-110.3
2002-100.3
2002-090.6
2002-080.4
2002-070.5
2002-060.2
2002-050.3
2002-040.4
2002-030.4
2002-020.3
2002-010.2
2001-12-0.3
2001-11-0.1
2001-100
2001-09-0.3
2001-080.4
2001-070.4
2001-060.8
2001-051
2001-040.9
2001-031.2
2001-021.9
2001-011.7
2000-122.4
2000-112.2
2000-102.2
2000-093
2000-082.7
2000-072.5
2000-062.8
2000-052.6
2000-042.7
2000-033
2000-022.4
2000-012.8
1999-122.8
1999-113
1999-103
1999-092.5
1999-082.5
1999-073
1999-062.6
1999-052.7
1999-042.9
1999-032.3
1999-022.4
1999-012.2
1998-122.3
1998-112.4
1998-102.5
1998-092.5
1998-082.5
1998-072.1
1998-062.3
1998-052.2
1998-042.2
1998-032.4
1998-022.7
1998-012.7
1997-122.7
1997-112.2
1997-102.2
1997-092.1
1997-082.1
1997-072.5
1997-062.1
1997-052.4
1997-042.4
1997-032.5
1997-022.5
1997-013.6
1996-121.8
1996-112.1
1996-102.2
1996-091.8
1996-082
1996-071.8
1996-061.4
1996-051.3
1996-040.6
1996-031
1996-020.7
1996-01-0.5
1995-121.2
1995-111.2
1995-101.2
1995-091.5
1995-081.7
1995-071.1
1995-061.8
1995-051.7
1995-042.3
1995-032.3
1995-022.7
1995-012.6
1994-122.2
1994-112.4
1994-102.2
1994-092.4
1994-082
1994-072.1
1994-062.3
1994-052.1
1994-042.2
1994-032.2
1994-021
1994-011.4
1993-121.8
1993-111.7
1993-101.5
1993-091.4
1993-081.1
1993-071.2
1993-061
1993-050.9
1993-040.6
1993-030.2
1993-020.7
1993-010.3
1992-12-0.1
1992-11-0.5
1992-10-0.2
1992-09-0.8
1992-08-0.5
1992-07-0.2
1992-06-1.1
1992-05-0.9
1992-04-1.1
1992-03-1.9
1992-02-1.9
1992-01-1.9
1991-12-3
1991-11-2.9
1991-10-3.2
1991-09-3.6
1991-08-3.5
1991-07-3.6
1991-06-3.5
1991-05-3.3
1991-04-3.5
1991-03-3.1
1991-02-2.6
1991-01-1.8

Compared with United States

PlaceAugust 2026
Maryland-0.2
United States0.3

Rankings

Definition

Percent change in seasonally adjusted nonfarm payroll employment from the same month a year earlier, from the Current Employment Statistics (CES) survey of the U.S. Bureau of Labor Statistics.

Invokely computes it from the two published job counts, shown with each value, and rounds it to one decimal as BLS does in its state release. The latest month is preliminary. Each year BLS benchmarks the series to unemployment insurance tax records and revises past years. State estimates come out about two weeks after the national ones, and the states do not add up to the national total because each is estimated separately.

How to cite

U.S. Bureau of Labor Statistics. Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier. https://download.bls.gov/pub/time.series/sm/sm.data.55.TotalNonFarmStateWide.All. Retrieved 2026-10-12.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

U.S. Bureau of Labor Statistics. (2026). Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier (Payroll job growth, 12-month change, Maryland, 1991-01 to 2026-08) [Data set]. Retrieved October 12, 2026, from https://download.bls.gov/pub/time.series/sm/sm.data.55.TotalNonFarmStateWide.All

MLA 9

Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier, Payroll job growth, 12-month change, Maryland, 1991-01 to 2026-08. U.S. Bureau of Labor Statistics, 18 Sept. 2026, https://download.bls.gov/pub/time.series/sm/sm.data.55.TotalNonFarmStateWide.All. Invokely, https://invokely.ai/en/payroll-job-growth/maryland. Accessed 12 Oct. 2026.

Chicago (author-date)

U.S. Bureau of Labor Statistics. 2026. Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier. Payroll job growth, 12-month change, Maryland, 1991-01 to 2026-08. Dataset. Accessed October 12, 2026. https://download.bls.gov/pub/time.series/sm/sm.data.55.TotalNonFarmStateWide.All. Also distributed by Invokely, https://invokely.ai/en/payroll-job-growth/maryland.

Harvard

U.S. Bureau of Labor Statistics (2026) Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier, Payroll job growth, 12-month change, Maryland, 1991-01 to 2026-08 [Dataset]. Available at: https://download.bls.gov/pub/time.series/sm/sm.data.55.TotalNonFarmStateWide.All, via Invokely: https://invokely.ai/en/payroll-job-growth/maryland (Accessed: 12 October 2026).

BibTeX
@misc{bureau_payroll_job_growth_12_2026,
  author = {{U.S. Bureau of Labor Statistics}},
  title = {{Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier: Payroll job growth, 12-month change, Maryland, 1991-01 to 2026-08}},
  year = {2026},
  howpublished = {Data set},
  url = {https://download.bls.gov/pub/time.series/sm/sm.data.55.TotalNonFarmStateWide.All},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/en/payroll-job-growth/maryland. Publisher attribution: U.S. Bureau of Labor Statistics. Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier. https://download.bls.gov/pub/time.series/sm/sm.data.55.TotalNonFarmStateWide.All. Retrieved 2026-10-12.},
}
RIS
TY  - DATA
AU  - U.S. Bureau of Labor Statistics
TI  - Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier: Payroll job growth, 12-month change, Maryland, 1991-01 to 2026-08
PY  - 2026
DA  - 2026/09/18
PB  - U.S. Bureau of Labor Statistics
DB  - Invokely
UR  - https://download.bls.gov/pub/time.series/sm/sm.data.55.TotalNonFarmStateWide.All
L2  - https://invokely.ai/en/payroll-job-growth/maryland
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/en/payroll-job-growth/maryland.
N1  - Publisher attribution: U.S. Bureau of Labor Statistics. Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier. https://download.bls.gov/pub/time.series/sm/sm.data.55.TotalNonFarmStateWide.All. Retrieved 2026-10-12.
ER  -
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Questions

What is the payroll job growth, 12-month change in Maryland?

Payroll job growth, 12-month change in Maryland was -0.2% in August 2026, according to BLS. That is up 0.8 pts from August 2025. That is the 43rd highest of 51 states in August 2026.

Where does this figure come from?

U.S. Bureau of Labor Statistics. Current Employment Statistics, State and Area: all employees, total nonfarm, statewide, seasonally adjusted (SMS, state, 000000000000001), percent change from 12 months earlier. Retrieved by Invokely on 2026-10-12.

What was the highest payroll job growth, 12-month change in Maryland?

10.1% in April 2021, the highest value since January 1991 in this series.

Payroll job growth, 12-month change elsewhere in United States

Related statistics for Maryland

All statistics for Maryland | Maryland in figures