The US economy added 303K jobs in March 2024, the most in ten months, compared to a downwardly revised 270K in February and forecasts of 200K. January data was also revised up, so employment in January and February combined is 22K higher than previously reported. Employment gains remain elevated by historical standards and continue to surpass the 70K to 100K needed monthly to keep up with the expanding working-age population. In March, job gains occurred in health care (72K), namely ambulatory health care services (28K) and hospitals (27K); government (71K), namely local government (49K); and construction (39K). At the same time, employment rose in leisure and hospitality (49K), returning to its pre-pandemic level. Employment showed little or no change in other major industries, including mining, quarrying, and oil and gas extraction; manufacturing; wholesale trade; transportation and warehousing; information; financial activities; and professional and business services. source: U.S. Bureau of Labor Statistics
Non Farm Payrolls in the United States increased by 303 thousand in March of 2024. Non Farm Payrolls in the United States averaged 125.45 Thousand from 1939 until 2024, reaching an all time high of 4615.00 Thousand in June of 2020 and a record low of -20477.00 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 2024.
Non Farm Payrolls in the United States increased by 303 thousand in March of 2024. Non Farm Payrolls in the United States is expected to be 160.00 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 170.00 Thousand in 2025, according to our econometric models.