The number of people claiming unemployment benefits in the US fell by 6,000 to 206,000 on the second week of August, below market expectations of 210,000. The result maintained the streak of low initial claim counts since reaching the near 60-year low of 189,000 in the middle of July. Meanwhile, continuing claims, a gauge of outstanding unemployment in the US, rose by 18,000 to 1,799,000 in the previous week. The data extended the period of resilience in the US labor market despite the unexpected contraction in payrolls per the latest BLS data, aligned with the view from some FOMC members that the US is in full employment. Meanwhile, initial claims filed by federal employees, which have been under scrutiny due the administration's efforts in decreasing the number of public workers, rose by 48 to 449. source: U.S. Department of Labor
Initial Jobless Claims in the United States decreased to 206 thousand in the week ending August 15 of 2026 from 212 thousand in the previous week. Initial Jobless Claims in the United States averaged 359.37 Thousand from 1967 until 2026, reaching an all time high of 6137.00 Thousand in April of 2020 and a record low of 162.00 Thousand in November of 1968. This page provides the latest reported value for - United States Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. United States Initial Jobless Claims - data, historical chart, forecasts and calendar of releases - was last updated on August of 2026.
Initial Jobless Claims in the United States decreased to 206 thousand in the week ending August 15 of 2026 from 212 thousand in the previous week. Initial Jobless Claims in the United States is expected to be 227.00 Thousand by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the United States Initial Jobless Claims is projected to trend around 235.00 Thousand in 2027 and 240.00 Thousand in 2028, according to our econometric models.