Jobless claims in United States

Oficina de Estadisticas Laborales (BLS) · Weekly · Importance 98

206,000 (15 Aug) ABS · thousands people · Semanal · CSV

Recessions COVID recession

Period	thousands people
Aug 2026	206,000
Aug 2026	212,000
Aug 2026	200,000
Jul 2026	198,000
Jul 2026	189,000
Jul 2026	209,000
Jul 2026	217,000
Jun 2026	217,000
Jun 2026	216,000
Jun 2026	227,000
Jun 2026	230,000
May 2026	225,000
May 2026	212,000
May 2026	210,000
May 2026	212,000
May 2026	199,000
Apr 2026	190,000
Apr 2026	215,000
Apr 2026	208,000
Apr 2026	218,000
Mar 2026	203,000
Mar 2026	211,000
Mar 2026	205,000
Mar 2026	213,000
Feb 2026	214,000
Feb 2026	211,000
Feb 2026	208,000
Feb 2026	230,000
Jan 2026	230,000
Jan 2026	211,000
Jan 2026	210,000
Jan 2026	201,000
Jan 2026	207,000
Dec 2025	203,000
Dec 2025	215,000
Dec 2025	224,000
Dec 2025	235,000
Nov 2025	216,000
Nov 2025	218,000
Nov 2025	222,000
Nov 2025	228,000
Nov 2025	228,000
Oct 2025	221,000
Oct 2025	231,000
Oct 2025	222,000
Oct 2025	233,000
Sep 2025	225,000
Sep 2025	219,000
Sep 2025	233,000
Sep 2025	259,000
Aug 2025	236,000
Aug 2025	229,000
Aug 2025	233,000
Aug 2025	224,000
Aug 2025	226,000
Jul 2025	219,000
Jul 2025	218,000
Jul 2025	221,000
Jul 2025	228,000
Jun 2025	231,000

Period	thousands people
Aug 2026	-6,000
Aug 2026	12,000
Aug 2026	2,000
Jul 2026	9,000
Jul 2026	-20,000
Jul 2026	-8,000
Jul 2026	0
Jun 2026	1,000
Jun 2026	-11,000
Jun 2026	-3,000
Jun 2026	5,000
May 2026	13,000
May 2026	2,000
May 2026	-2,000
May 2026	13,000
May 2026	9,000
Apr 2026	-25,000
Apr 2026	7,000
Apr 2026	-10,000
Apr 2026	15,000
Mar 2026	-8,000
Mar 2026	6,000
Mar 2026	-8,000
Mar 2026	-1,000
Feb 2026	3,000
Feb 2026	3,000
Feb 2026	-22,000
Feb 2026	0
Jan 2026	19,000
Jan 2026	1,000
Jan 2026	9,000
Jan 2026	-6,000
Jan 2026	4,000
Dec 2025	-12,000
Dec 2025	-9,000
Dec 2025	-11,000
Dec 2025	19,000
Nov 2025	-2,000
Nov 2025	-4,000
Nov 2025	-6,000
Nov 2025	0
Nov 2025	7,000
Oct 2025	-10,000
Oct 2025	9,000
Oct 2025	-11,000
Oct 2025	8,000
Sep 2025	6,000
Sep 2025	-14,000
Sep 2025	-26,000
Sep 2025	23,000
Aug 2025	7,000
Aug 2025	-4,000
Aug 2025	9,000
Aug 2025	-2,000
Aug 2025	7,000
Jul 2025	1,000
Jul 2025	-3,000
Jul 2025	-7,000
Jul 2025	-3,000
Jun 2025	-5,000

Period	thousands people
Aug 2026	204,000
Aug 2026	199,750
Aug 2026	199,000
Jul 2026	203,250
Jul 2026	208,000
Jul 2026	214,750
Jul 2026	219,250
Jun 2026	222,500
Jun 2026	224,500
Jun 2026	223,500
Jun 2026	219,250
May 2026	214,750
May 2026	208,250
May 2026	202,750
May 2026	204,000
May 2026	203,000
Apr 2026	207,750
Apr 2026	211,000
Apr 2026	210,000
Apr 2026	209,250
Mar 2026	208,000
Mar 2026	210,750
Mar 2026	210,750
Mar 2026	211,500
Feb 2026	215,750
Feb 2026	219,750
Feb 2026	219,750
Feb 2026	220,250
Jan 2026	213,000
Jan 2026	207,250
Jan 2026	205,250
Jan 2026	206,500
Jan 2026	212,250
Dec 2025	219,250
Dec 2025	222,500
Dec 2025	223,250
Dec 2025	222,750
Nov 2025	221,000
Nov 2025	224,000
Nov 2025	224,750
Nov 2025	227,000
Nov 2025	225,500
Oct 2025	226,750
Oct 2025	227,750
Oct 2025	224,750
Oct 2025	227,500
Sep 2025	234,000
Sep 2025	236,750
Sep 2025	239,250
Sep 2025	239,250
Aug 2025	230,500
Aug 2025	228,000
Aug 2025	225,500
Aug 2025	221,750
Aug 2025	221,000
Jul 2025	221,500
Jul 2025	224,500
Jul 2025	229,000
Jul 2025	234,500
Jun 2025	239,000

About this indicator

Source	United States Department of Labor
Frequency	Weekly
Release	Todos los jueves (13:30 GMT)
What it is	Each week the number of requests for unemployment benefits are published to publicize the number of people applying for the first time this type of service. An upward trend (downward) shows a deterioration (improvement) in the labor market.
How it's calculated	Is calculated by the Labor Department using data from their offices, in which subsidies are requested.
Market implications	The number of jobless claims is used to measure the strength of the labor market. A strong labor market has a great influence on the country's economy. It is also a good indicator of inflationary pressures on wages, since a low number of requests may signal that the number of job seekers is lower and therefore the cost for companies to hire could increase. The markets are very sensitive to this kind of information because inflationary pressures on wages may lead to changes in interest rates.
Limitations	The data is subject to revisions, so caution should be exercised when interpreting the data.