The US economy added 178K jobs in March 2026, the most since December 2024, following a revised decline of 133K in February, when a strike in the healthcare sector weighed on employment. The figure came in well above market expectations of 60K. Job gains were concentrated in healthcare (76K), mostly ambulatory health care services (54K), reflecting an increase of 35K in offices of physicians as workers returned from a strike. Construction added 26K jobs following weather-related declines during the winter. Transportation and warehousing created 21K jobs, manufacturing added 15K and employment in social assistance continued its upward trend (14K). On the other hand, federal government employment continued to decline (-18K) and declines were also seen in financial activities (-15K). The change in payrolls for January was revised up by 34K to 160K, and the change for February was revised down by 41K to -133K. Employment combined for the two months is 7K lower than early reported. source: U.S. Bureau of Labor Statistics
Non Farm Payrolls in the United States increased by 178 thousand in March of 2026. Non Farm Payrolls in the United States averaged 123.05 Thousand from 1939 until 2026, reaching an all time high of 4631.00 Thousand in June of 2020 and a record low of -20469.00 Thousand in April of 2020. This page provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. United States Non Farm Payrolls - data, historical chart, forecasts and calendar of releases - was last updated on April of 2026.
Non Farm Payrolls in the United States increased by 178 thousand in March of 2026. Non Farm Payrolls in the United States is expected to be 70.00 Thousand by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the United States Non Farm Payrolls is projected to trend around 150.00 Thousand in 2027, according to our econometric models.