Payroll job growth, 12-month change in District of Columbia
Payroll job growth, 12-month change in District of Columbia was -3.6% in August 2026, according to BLS. That is down 0.9 pts from August 2025. That is the 51st highest of 51 states in August 2026.
Payroll job growth, 12-month change in District of Columbia, January 1991 to August 2026
All 428 values
| Period | % |
|---|---|
| 2026-08 | -3.6 Provisional |
| 2026-07 | -4.4 |
| 2026-06 | -4.8 |
| 2026-05 | -5.3 |
| 2026-04 | -5.2 |
| 2026-03 | -5.2 |
| 2026-02 | -5.5 |
| 2026-01 | -5.9 |
| 2025-12 | -5.4 |
| 2025-11 | -5.3 |
| 2025-10 | -5.1 |
| 2025-09 | -3 |
| 2025-08 | -2.7 |
| 2025-07 | -1.9 |
| 2025-06 | -1.6 |
| 2025-05 | -1.4 |
| 2025-04 | -1.2 |
| 2025-03 | -1.2 |
| 2025-02 | -1.1 |
| 2025-01 | -0.8 |
| 2024-12 | 0 |
| 2024-11 | -0.1 |
| 2024-10 | -0.1 |
| 2024-09 | 0.3 |
| 2024-08 | 0.4 |
| 2024-07 | 0.4 |
| 2024-06 | 0 |
| 2024-05 | 0.1 |
| 2024-04 | 0.3 |
| 2024-03 | 0.6 |
| 2024-02 | 0.8 |
| 2024-01 | 0.9 |
| 2023-12 | 0.7 |
| 2023-11 | 0.9 |
| 2023-10 | 1.2 |
| 2023-09 | 0.7 |
| 2023-08 | 0.4 |
| 2023-07 | 0.5 |
| 2023-06 | 1.7 |
| 2023-05 | 1.3 |
| 2023-04 | 1.2 |
| 2023-03 | 0.9 |
| 2023-02 | 1.2 |
| 2023-01 | 1.3 |
| 2022-12 | 0.6 |
| 2022-11 | 0.9 |
| 2022-10 | 0.9 |
| 2022-09 | 2.3 |
| 2022-08 | 2.9 |
| 2022-07 | 3.5 |
| 2022-06 | 3.4 |
| 2022-05 | 4.4 |
| 2022-04 | 4.6 |
| 2022-03 | 5 |
| 2022-02 | 4.9 |
| 2022-01 | 4.8 |
| 2021-12 | 4.8 |
| 2021-11 | 4.1 |
| 2021-10 | 3.8 |
| 2021-09 | 2.2 |
| 2021-08 | 1.4 |
| 2021-07 | 2 |
| 2021-06 | 1.8 |
| 2021-05 | 1.3 |
| 2021-04 | 0.4 |
| 2021-03 | -9.8 |
| 2021-02 | -10.5 |
| 2021-01 | -10.3 |
| 2020-12 | -9.6 |
| 2020-11 | -9.3 |
| 2020-10 | -9.2 |
| 2020-09 | -8.7 |
| 2020-08 | -8.5 |
| 2020-07 | -9.4 |
| 2020-06 | -10 |
| 2020-05 | -10 |
| 2020-04 | -9.4 |
| 2020-03 | 0.3 |
| 2020-02 | 1.1 |
| 2020-01 | 1.3 |
| 2019-12 | 0.7 |
| 2019-11 | 0.7 |
| 2019-10 | 0.6 |
| 2019-09 | 0.6 |
| 2019-08 | 0.5 |
| 2019-07 | 0.5 |
| 2019-06 | 0.4 |
| 2019-05 | 0.3 |
| 2019-04 | 0.5 |
| 2019-03 | 0.7 |
| 2019-02 | 0.7 |
| 2019-01 | 0.5 |
| 2018-12 | 0.7 |
| 2018-11 | 0.9 |
| 2018-10 | 0.9 |
| 2018-09 | 1.2 |
| 2018-08 | 1.2 |
| 2018-07 | 1.2 |
| 2018-06 | 1.3 |
| 2018-05 | 1.3 |
| 2018-04 | 1.3 |
| 2018-03 | 1 |
| 2018-02 | 1.2 |
| 2018-01 | 1 |
| 2017-12 | 0.8 |
| 2017-11 | 0.8 |
| 2017-10 | 1 |
| 2017-09 | 0.7 |
| 2017-08 | 0.9 |
| 2017-07 | 0.8 |
| 2017-06 | 1 |
| 2017-05 | 0.9 |
| 2017-04 | 1 |
| 2017-03 | 1.2 |
| 2017-02 | 0.9 |
| 2017-01 | 1.3 |
| 2016-12 | 1 |
| 2016-11 | 1.2 |
| 2016-10 | 1.2 |
| 2016-09 | 1.5 |
| 2016-08 | 1.4 |
| 2016-07 | 1.6 |
| 2016-06 | 2 |
| 2016-05 | 2.2 |
| 2016-04 | 2.5 |
| 2016-03 | 2.2 |
| 2016-02 | 2.1 |
| 2016-01 | 1.9 |
| 2015-12 | 2.6 |
| 2015-11 | 2.3 |
| 2015-10 | 2.2 |
| 2015-09 | 1.8 |
| 2015-08 | 2.2 |
| 2015-07 | 2.2 |
| 2015-06 | 1.6 |
| 2015-05 | 2.2 |
| 2015-04 | 1.5 |
| 2015-03 | 2 |
| 2015-02 | 2.2 |
| 2015-01 | 2.2 |
| 2014-12 | 0.9 |
| 2014-11 | 0.9 |
| 2014-10 | 1.1 |
| 2014-09 | 0.6 |
| 2014-08 | 0.8 |
| 2014-07 | 0.9 |
| 2014-06 | 1.1 |
| 2014-05 | 0.1 |
| 2014-04 | 0.2 |
| 2014-03 | 0.5 |
| 2014-02 | 0.4 |
| 2014-01 | 0.4 |
| 2013-12 | 1.2 |
| 2013-11 | 1.2 |
| 2013-10 | 0.9 |
| 2013-09 | 1.8 |
| 2013-08 | 1.7 |
| 2013-07 | 1.8 |
| 2013-06 | 1.5 |
| 2013-05 | 1.4 |
| 2013-04 | 2.1 |
| 2013-03 | 1.2 |
| 2013-02 | 1.4 |
| 2013-01 | 1.3 |
| 2012-12 | 1.5 |
| 2012-11 | 1.6 |
| 2012-10 | 1.5 |
| 2012-09 | 0.5 |
| 2012-08 | 0.6 |
| 2012-07 | 0.1 |
| 2012-06 | 0.6 |
| 2012-05 | 1.2 |
| 2012-04 | 0.4 |
| 2012-03 | 1 |
| 2012-02 | 0.9 |
| 2012-01 | 1 |
| 2011-12 | 1.5 |
| 2011-11 | 1.4 |
| 2011-10 | 1.5 |
| 2011-09 | 2.3 |
| 2011-08 | 2.6 |
| 2011-07 | 1.4 |
| 2011-06 | 1.4 |
| 2011-05 | 1.4 |
| 2011-04 | 2 |
| 2011-03 | 2.4 |
| 2011-02 | 3 |
| 2011-01 | 2.3 |
| 2010-12 | 1.8 |
| 2010-11 | 1.8 |
| 2010-10 | 2 |
| 2010-09 | 2.4 |
| 2010-08 | 0.4 |
| 2010-07 | 1.9 |
| 2010-06 | 2.4 |
| 2010-05 | 2.4 |
| 2010-04 | 2.4 |
| 2010-03 | 0.9 |
| 2010-02 | -0.3 |
| 2010-01 | 0.1 |
| 2009-12 | 0.3 |
| 2009-11 | 0.1 |
| 2009-10 | -0.3 |
| 2009-09 | -1.5 |
| 2009-08 | -1.1 |
| 2009-07 | -0.6 |
| 2009-06 | -0.9 |
| 2009-05 | -0.9 |
| 2009-04 | -1 |
| 2009-03 | -0.1 |
| 2009-02 | 0.7 |
| 2009-01 | 1 |
| 2008-12 | 0.4 |
| 2008-11 | 0.8 |
| 2008-10 | 0.9 |
| 2008-09 | 2.1 |
| 2008-08 | 3.1 |
| 2008-07 | 2.5 |
| 2008-06 | 2.1 |
| 2008-05 | 1.8 |
| 2008-04 | 1.3 |
| 2008-03 | 1 |
| 2008-02 | 0.6 |
| 2008-01 | 1.2 |
| 2007-12 | 1.3 |
| 2007-11 | 1.2 |
| 2007-10 | 1.3 |
| 2007-09 | 0.7 |
| 2007-08 | 0.7 |
| 2007-07 | 0.7 |
| 2007-06 | 0.3 |
| 2007-05 | 0.8 |
| 2007-04 | 0.9 |
| 2007-03 | 0.9 |
| 2007-02 | 1.1 |
| 2007-01 | 0.7 |
| 2006-12 | 0.5 |
| 2006-11 | 0.6 |
| 2006-10 | 1 |
| 2006-09 | 0.9 |
| 2006-08 | 0.7 |
| 2006-07 | 0.9 |
| 2006-06 | 1 |
| 2006-05 | 0.4 |
| 2006-04 | 0.8 |
| 2006-03 | 1 |
| 2006-02 | 0.8 |
| 2006-01 | 0.7 |
| 2005-12 | 1.5 |
| 2005-11 | 1.1 |
| 2005-10 | 0.8 |
| 2005-09 | 0.8 |
| 2005-08 | 0.8 |
| 2005-07 | 1.3 |
| 2005-06 | 0.8 |
| 2005-05 | 1.2 |
| 2005-04 | 1.2 |
| 2005-03 | 1.3 |
| 2005-02 | 1.5 |
| 2005-01 | 2.1 |
| 2004-12 | 1.6 |
| 2004-11 | 1.9 |
| 2004-10 | 1.7 |
| 2004-09 | 1.6 |
| 2004-08 | 2.5 |
| 2004-07 | 1 |
| 2004-06 | 1.6 |
| 2004-05 | 1 |
| 2004-04 | 0.8 |
| 2004-03 | 0.7 |
| 2004-02 | 0.8 |
| 2004-01 | 0.1 |
| 2003-12 | -0.2 |
| 2003-11 | -0.3 |
| 2003-10 | 0.1 |
| 2003-09 | 0 |
| 2003-08 | -0.9 |
| 2003-07 | -0.2 |
| 2003-06 | 0.2 |
| 2003-05 | 0.7 |
| 2003-04 | 0.5 |
| 2003-03 | 0.6 |
| 2003-02 | 0.8 |
| 2003-01 | 1 |
| 2002-12 | 1.8 |
| 2002-11 | 1.8 |
| 2002-10 | 1.1 |
| 2002-09 | 1.6 |
| 2002-08 | 1 |
| 2002-07 | 1.9 |
| 2002-06 | 1.8 |
| 2002-05 | 1.8 |
| 2002-04 | 2.3 |
| 2002-03 | 1.9 |
| 2002-02 | 1.7 |
| 2002-01 | 1.1 |
| 2001-12 | -1 |
| 2001-11 | -0.5 |
| 2001-10 | 0.4 |
| 2001-09 | 0.4 |
| 2001-08 | 0.7 |
| 2001-07 | 0.2 |
| 2001-06 | 0.4 |
| 2001-05 | 0.9 |
| 2001-04 | 0.5 |
| 2001-03 | 1.2 |
| 2001-02 | 1.2 |
| 2001-01 | 1.8 |
| 2000-12 | 3.4 |
| 2000-11 | 3 |
| 2000-10 | 2.8 |
| 2000-09 | 3.4 |
| 2000-08 | 4.2 |
| 2000-07 | 3.6 |
| 2000-06 | 3.6 |
| 2000-05 | 3.4 |
| 2000-04 | 3.9 |
| 2000-03 | 4.2 |
| 2000-02 | 4 |
| 2000-01 | 4.3 |
| 1999-12 | 4.8 |
| 1999-11 | 4.5 |
| 1999-10 | 4.1 |
| 1999-09 | 3.1 |
| 1999-08 | 2.7 |
| 1999-07 | 2.9 |
| 1999-06 | 1.9 |
| 1999-05 | 1.7 |
| 1999-04 | 1.6 |
| 1999-03 | 0.1 |
| 1999-02 | 0 |
| 1999-01 | 0 |
| 1998-12 | -0.7 |
| 1998-11 | -0.6 |
| 1998-10 | -0.8 |
| 1998-09 | -1.6 |
| 1998-08 | -1.5 |
| 1998-07 | -2.3 |
| 1998-06 | 0 |
| 1998-05 | -0.2 |
| 1998-04 | -0.6 |
| 1998-03 | -0.7 |
| 1998-02 | -0.4 |
| 1998-01 | -0.8 |
| 1997-12 | -0.4 |
| 1997-11 | -0.5 |
| 1997-10 | -0.3 |
| 1997-09 | 0.2 |
| 1997-08 | 0.1 |
| 1997-07 | 0.5 |
| 1997-06 | -0.7 |
| 1997-05 | -0.9 |
| 1997-04 | -1 |
| 1997-03 | -2.1 |
| 1997-02 | -2.3 |
| 1997-01 | -1.7 |
| 1996-12 | -2.7 |
| 1996-11 | -2.9 |
| 1996-10 | -3.2 |
| 1996-09 | -3.2 |
| 1996-08 | -3.2 |
| 1996-07 | -3.2 |
| 1996-06 | -3.6 |
| 1996-05 | -3.6 |
| 1996-04 | -3.7 |
| 1996-03 | -1.9 |
| 1996-02 | -2.1 |
| 1996-01 | -3 |
| 1995-12 | -2.5 |
| 1995-11 | -2.4 |
| 1995-10 | -2.3 |
| 1995-09 | -2.4 |
| 1995-08 | -2.6 |
| 1995-07 | -2.4 |
| 1995-06 | -3.1 |
| 1995-05 | -2.9 |
| 1995-04 | -2.7 |
| 1995-03 | -2.2 |
| 1995-02 | -2 |
| 1995-01 | -2 |
| 1994-12 | -2.4 |
| 1994-11 | -2.1 |
| 1994-10 | -1.8 |
| 1994-09 | -1.5 |
| 1994-08 | -1.1 |
| 1994-07 | -1.2 |
| 1994-06 | -1.1 |
| 1994-05 | -1.3 |
| 1994-04 | -1.3 |
| 1994-03 | -2.2 |
| 1994-02 | -2.4 |
| 1994-01 | -2.3 |
| 1993-12 | -0.6 |
| 1993-11 | -0.5 |
| 1993-10 | -1.2 |
| 1993-09 | -0.6 |
| 1993-08 | -1.2 |
| 1993-07 | -0.8 |
| 1993-06 | -0.6 |
| 1993-05 | -0.4 |
| 1993-04 | -0.5 |
| 1993-03 | 0 |
| 1993-02 | 0.1 |
| 1993-01 | 0.3 |
| 1992-12 | -0.5 |
| 1992-11 | -0.7 |
| 1992-10 | -0.1 |
| 1992-09 | -0.9 |
| 1992-08 | -0.6 |
| 1992-07 | 0.3 |
| 1992-06 | -0.6 |
| 1992-05 | -0.4 |
| 1992-04 | -0.4 |
| 1992-03 | -0.8 |
| 1992-02 | -1.2 |
| 1992-01 | -1 |
| 1991-12 | -1 |
| 1991-11 | -0.6 |
| 1991-10 | -1.1 |
| 1991-09 | -1.3 |
| 1991-08 | -1.4 |
| 1991-07 | -2 |
| 1991-06 | -1.4 |
| 1991-05 | -1.4 |
| 1991-04 | -1.6 |
| 1991-03 | -1.6 |
| 1991-02 | -1.1 |
| 1991-01 | -0.7 |
Compared with United States
| Place | August 2026 |
|---|---|
| District of Columbia | -3.6 |
| United States | 0.3 |
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
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, District of Columbia, 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, District of Columbia, 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/district-of-columbia. 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, District of Columbia, 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/district-of-columbia.
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, District of Columbia, 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/district-of-columbia (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, District of Columbia, 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/district-of-columbia. 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, District of Columbia, 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/district-of-columbia
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/en/payroll-job-growth/district-of-columbia.
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 -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
What is the latest payroll job growth, 12-month change in District of Columbia? Cite the source.
get_value {"indicator":"payroll_job_growth_12_month","place":"us-state-11"}
GET https://invokely.ai/api/v1/value?indicator=payroll_job_growth_12_month&place=us-state-11
Questions
What is the payroll job growth, 12-month change in District of Columbia?
Payroll job growth, 12-month change in District of Columbia was -3.6% in August 2026, according to BLS. That is down 0.9 pts from August 2025. That is the 51st 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 District of Columbia?
5% in March 2022, the highest value since January 1991 in this series.
Payroll job growth, 12-month change elsewhere in United States
Related statistics for District of Columbia
- Professional and business services payroll employment
- Trade, transportation and utilities payroll employment
- Employment-population ratio
- Information payroll employment
- Wages and salaries paid
- Net international migration, July to June
- Poverty rate (US five-year survey estimate)
- White (non-Hispanic) population share
All statistics for District of Columbia | District of Columbia in figures