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United States Jobless Claims 4-week Average

Price

240,750
Change +/-
+5,062.5
Percentage Change
+2.13 %

The current value of the Jobless Claims 4-week Average in United States is 240,750 . The Jobless Claims 4-week Average in United States increased to 240,750 on 8/1/2024, after it was 235,687.5 on 7/1/2024. From 1/28/1967 to 8/3/2024, the average GDP in United States was 364,379 . The all-time high was reached on 4/18/2020 with 5.29 M , while the lowest value was recorded on 5/17/1969 with 179,000 .

Source: U.S. Department of Labor

Jobless Claims 4-week Average

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Unemployment Claims 4-Week Average

Jobless Claims 4-week Average History

DateValue
8/1/2024240,750
7/1/2024235,687.5
6/1/2024231,500
5/1/2024219,062.5
4/1/2024213,187.5
3/1/2024211,000
2/1/2024213,062.5
1/1/2024204,250
12/1/2023211,100
11/1/2023216,437.5
1
2
3
4
5
...
70

Similar Macro Indicators to Jobless Claims 4-week Average

NameCurrentPreviousFrequency
🇺🇸
ADP Employment Change
152,000 188,000 Monthly
🇺🇸
Announcements of Hiring Plans
4,236 Persons9,802 PersonsMonthly
🇺🇸
Average Hourly Earnings
0.4 %0.2 %Monthly
🇺🇸
Average Hourly Earnings YoY
4.1 %4 %Monthly
🇺🇸
Average Weekly Hours
34.3 Hours34.3 HoursMonthly
🇺🇸
Cancellation rate
2.2 %2.2 %Monthly
🇺🇸
Challenger Job Cuts
55,597 Persons72,821 PersonsMonthly
🇺🇸
Continued Jobless Claims
1.875 M 1.869 M frequency_weekly
🇺🇸
Employed persons
161.496 M 161.864 M Monthly
🇺🇸
Employment Cost Index
1.2 %0.9 %Quarter
🇺🇸
Employment Cost Index Benefits
1.1 %0.7 %Quarter
🇺🇸
Employment Cost Index Wages
1.1 %1.1 %Quarter
🇺🇸
Employment rate
60.1 %60.2 %Monthly
🇺🇸
Full-time employment
133.496 M 133.66 M Monthly
🇺🇸
Initial Jobless Claims
217,000 221,000 frequency_weekly
🇺🇸
Job Opportunities
8.14 M 7.919 M Monthly
🇺🇸
Job Opportunities
7.418 M 7.939 M Monthly
🇺🇸
Job resignations
3.459 M 3.452 M Monthly
🇺🇸
Labor costs
121.983 points121.397 pointsQuarter
🇺🇸
Labor force participation rate
62.6 %62.7 %Monthly
🇺🇸
Layoffs and Terminations
1.498 M 1.678 M Monthly
🇺🇸
Long-term unemployment rate
0.8 %0.74 %Monthly
🇺🇸
Manufacturing wages
-46,000 -6,000 Monthly
🇺🇸
Minimum Wages
7.25 USD/Hour7.25 USD/HourAnnually
🇺🇸
Non-Agricultural Productivity QoQ
2.2 %2.1 %Quarter
🇺🇸
Non-farm Payrolls
272,000 165,000 Monthly
🇺🇸
Nonfarm Private Employment
229,000 158,000 Monthly
🇺🇸
Part-time work
28.004 M 27.718 M Monthly
🇺🇸
Population
335.89 M 334.13 M Annually
🇺🇸
Productivity
111.909 points111.827 pointsQuarter
🇺🇸
Retirement Age Men
66.67 Years66.5 YearsAnnually
🇺🇸
Retirement Age Women
66.67 Years66.5 YearsAnnually
🇺🇸
State payroll accounting
43,000 7,000 Monthly
🇺🇸
U6 Unemployment Rate
7.4 %7.4 %Monthly
🇺🇸
Unemployed Persons
6.984 M 6.834 M Monthly
🇺🇸
Unemployment Rate
4.1 %4.1 %Monthly
🇺🇸
Unit Labor Costs QoQ
1.9 %2.4 %Quarter
🇺🇸
Wage Growth
6.4 %6.5 %Monthly
🇺🇸
Wages
29.99 USD/Hour29.85 USD/HourMonthly
🇺🇸
Wages in Manufacturing
28.19 USD/Hour28.12 USD/HourMonthly
🇺🇸
Youth Unemployment Rate
9.5 %9.2 %Monthly

What is Jobless Claims 4-week Average?

The 'Jobless Claims 4-week Average' is a key macroeconomic indicator monitored by policymakers, financial analysts, and economists to gauge the health of the labor market. At Eulerpool, your go-to resource for macroeconomic data, we ensure that our users are equipped with the most current and precise data to make informed decisions. The 'Jobless Claims 4-week Average' paints a broader picture of unemployment trends, offering a smoothed representation by averaging the reported weekly initial jobless claims over a four-week period. This smoothing mechanism helps mitigate the volatility inherent in weekly claims data, providing a more stable and reliable indicator of labor market conditions. Understanding the 'Jobless Claims 4-week Average' begins with recognizing the significance of initial jobless claims themselves. These claims represent the number of individuals who have filed for unemployment benefits for the first time during a specific reporting period. This initial figure helps measure the number of layoffs in the economy, offering immediate insights into how businesses are responding to economic conditions. However, weekly fluctuations can often be influenced by temporary factors such as holidays, weather conditions, and administrative delays, which can obscure underlying trends. By averaging these claims over four weeks, the 'Jobless Claims 4-week Average' eliminates some of these irregularities and provides a clearer view of labor market dynamics. This metric's importance can't be overstated. It serves as an early warning system for potential shifts in the economy. For instance, a sustained increase in the 'Jobless Claims 4-week Average' could signal emerging economic distress, prompting policymakers and central banks to take corrective measures such as adjusting interest rates or implementing stimulus programs. Conversely, a declining trend in the average indicates improving labor market conditions, which can boost consumer confidence and spending, further fueling economic growth. Financial markets also closely monitor 'Jobless Claims 4-week Average' because it can influence stock prices, bond yields, and currency values. Investors look to this data as a leading indicator of economic performance, anticipating its potential impact on corporate earnings and investment returns. For instance, higher-than-expected jobless claims might lead to a drop in stock prices as fears of an economic slowdown rise. On the other hand, lower-than-anticipated claims could stimulate market optimism, driving equity prices up. Moreover, the 'Jobless Claims 4-week Average' is often correlated with other significant economic indicators such as GDP growth, consumer confidence indices, and retail sales figures. Through these interconnected relationships, analysts can build more comprehensive economic models to predict future trends and outcomes. For example, a sustained decline in the 'Jobless Claims 4-week Average' might precede a rise in GDP growth, as more employed individuals typically mean increased spending power, which in turn fuels economic expansion. Understanding the context behind changes in the 'Jobless Claims 4-week Average' is also crucial. Various factors can influence fluctuations in this metric. Structural changes in the economy, technological advancements, and shifts in industry demand can all affect employment levels. For instance, a decline in manufacturing jobs due to automation might lead to higher jobless claims in the short term, even if the broader economy is transitioning towards more service-oriented positions. Additionally, the implementation of new policies or economic stimuli can impact jobless claims. Government interventions such as tax cuts, infrastructure spending, or subsidies for certain industries can create more jobs, subsequently reducing the number of unemployment benefit filers. Conversely, austerity measures and budget cuts might increase layoffs, leading to higher jobless claims. Regional differences also play a role in shaping the 'Jobless Claims 4-week Average.' Certain areas may experience higher unemployment due to industry-specific downturns, while others might thrive if they are hubs for growing sectors. For instance, a tech boom in Silicon Valley might lead to lower jobless claims in that region compared to areas reliant on declining industries. Another aspect to consider is the length and eligibility of unemployment benefits, which can vary by country and sometimes even by state. Changes in these policies can influence jobless claims. For example, extending the duration of unemployment benefits might temporarily lead to higher jobless claims as more individuals apply and remain eligible for a longer period. Conversely, tightening eligibility requirements can reduce the number of people filing for benefits, thereby influencing the average. It's important to note that while the 'Jobless Claims 4-week Average' is a valuable tool, it isn't without limitations. It primarily captures initial job losses and doesn't account for the long-term unemployed or those who have stopped seeking employment altogether. Therefore, it should be analyzed in conjunction with other labor market data, such as the non-farm payrolls report, the unemployment rate, and labor force participation rates, to gain a fuller understanding of the employment landscape. At Eulerpool, we prioritize providing our audience with not just raw data but also the contextual understanding and analytical insights needed to interpret these indicators accurately. By subscribing to our platform, users gain access to real-time updates and expert analyses on the 'Jobless Claims 4-week Average' and a vast array of other macroeconomic indicators, enabling more informed decision-making in an ever-changing economic environment. To keep abreast of labor market developments, regular monitoring of the 'Jobless Claims 4-week Average' is essential. This metric offers a critical pulse on the state of employment, reflecting the broader economic conditions and setting the stage for future economic trends. Whether you are a policymaker, financial analyst, investor, or economist, understanding the nuances of this indicator can provide a significant edge in navigating the complexities of the economic landscape. At Eulerpool, we are committed to delivering the precise and actionable data you need to stay ahead.