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The current value of the Job Vacancies in United States is 7.939 M . The Job Vacancies in United States decreased to 7.939 M on 8/1/2024, after it was 8.378 M on 7/1/2024. From 12/1/2000 to 9/1/2024, the average GDP in United States was 5.4 M . The all-time high was reached on 7/1/2022 with 12.57 M , while the lowest value was recorded on 12/1/2009 with 2.16 M .
Job Vacancies ·
3 years
5 years
10 years
25 Years
Max
Job Opportunities | |
---|---|
12/1/2000 | 4.34 M |
1/1/2001 | 5.59 M |
2/1/2001 | 4.84 M |
3/1/2001 | 4.51 M |
4/1/2001 | 5.1 M |
5/1/2001 | 4.54 M |
6/1/2001 | 4.32 M |
7/1/2001 | 4.9 M |
8/1/2001 | 4.11 M |
9/1/2001 | 3.94 M |
10/1/2001 | 4 M |
11/1/2001 | 3.37 M |
12/1/2001 | 3.02 M |
1/1/2002 | 3.98 M |
2/1/2002 | 3.22 M |
3/1/2002 | 3.4 M |
4/1/2002 | 3.94 M |
5/1/2002 | 3.54 M |
6/1/2002 | 3.36 M |
7/1/2002 | 3.77 M |
8/1/2002 | 3.59 M |
9/1/2002 | 3.22 M |
10/1/2002 | 3.77 M |
11/1/2002 | 3.13 M |
12/1/2002 | 2.58 M |
1/1/2003 | 3.66 M |
2/1/2003 | 3.03 M |
3/1/2003 | 2.91 M |
4/1/2003 | 3.57 M |
5/1/2003 | 3.36 M |
6/1/2003 | 3.33 M |
7/1/2003 | 3.37 M |
8/1/2003 | 3.26 M |
9/1/2003 | 3.03 M |
10/1/2003 | 3.57 M |
11/1/2003 | 2.97 M |
12/1/2003 | 2.84 M |
1/1/2004 | 3.6 M |
2/1/2004 | 3.33 M |
3/1/2004 | 3.35 M |
4/1/2004 | 3.99 M |
5/1/2004 | 3.77 M |
6/1/2004 | 3.27 M |
7/1/2004 | 4.19 M |
8/1/2004 | 3.63 M |
9/1/2004 | 3.78 M |
10/1/2004 | 4.17 M |
11/1/2004 | 3.12 M |
12/1/2004 | 3.49 M |
1/1/2005 | 3.93 M |
2/1/2005 | 3.75 M |
3/1/2005 | 3.9 M |
4/1/2005 | 4.7 M |
5/1/2005 | 3.84 M |
6/1/2005 | 3.97 M |
7/1/2005 | 4.63 M |
8/1/2005 | 4.25 M |
9/1/2005 | 4.34 M |
10/1/2005 | 4.39 M |
11/1/2005 | 3.89 M |
12/1/2005 | 3.74 M |
1/1/2006 | 4.49 M |
2/1/2006 | 4.1 M |
3/1/2006 | 4.61 M |
4/1/2006 | 5.32 M |
5/1/2006 | 4.5 M |
6/1/2006 | 4.54 M |
7/1/2006 | 4.74 M |
8/1/2006 | 4.84 M |
9/1/2006 | 4.75 M |
10/1/2006 | 4.8 M |
11/1/2006 | 4.3 M |
12/1/2006 | 4.06 M |
1/1/2007 | 4.83 M |
2/1/2007 | 4.46 M |
3/1/2007 | 4.84 M |
4/1/2007 | 5.21 M |
5/1/2007 | 4.7 M |
6/1/2007 | 4.77 M |
7/1/2007 | 4.91 M |
8/1/2007 | 4.69 M |
9/1/2007 | 4.67 M |
10/1/2007 | 4.83 M |
11/1/2007 | 4.32 M |
12/1/2007 | 4.03 M |
1/1/2008 | 4.68 M |
2/1/2008 | 4.07 M |
3/1/2008 | 4.14 M |
4/1/2008 | 4.46 M |
5/1/2008 | 4.25 M |
6/1/2008 | 3.76 M |
7/1/2008 | 4.01 M |
8/1/2008 | 3.81 M |
9/1/2008 | 3.24 M |
10/1/2008 | 3.58 M |
11/1/2008 | 2.96 M |
12/1/2008 | 2.7 M |
1/1/2009 | 2.79 M |
2/1/2009 | 2.69 M |
3/1/2009 | 2.48 M |
4/1/2009 | 2.59 M |
5/1/2009 | 2.59 M |
6/1/2009 | 2.44 M |
7/1/2009 | 2.41 M |
8/1/2009 | 2.45 M |
9/1/2009 | 2.49 M |
10/1/2009 | 2.64 M |
11/1/2009 | 2.26 M |
12/1/2009 | 2.16 M |
1/1/2010 | 2.88 M |
2/1/2010 | 2.52 M |
3/1/2010 | 2.65 M |
4/1/2010 | 3.46 M |
5/1/2010 | 3.04 M |
6/1/2010 | 2.73 M |
7/1/2010 | 3.26 M |
8/1/2010 | 3.11 M |
9/1/2010 | 2.94 M |
10/1/2010 | 3.52 M |
11/1/2010 | 2.96 M |
12/1/2010 | 2.62 M |
1/1/2011 | 3.1 M |
2/1/2011 | 3.09 M |
3/1/2011 | 3.24 M |
4/1/2011 | 3.58 M |
5/1/2011 | 3.23 M |
6/1/2011 | 3.37 M |
7/1/2011 | 3.81 M |
8/1/2011 | 3.45 M |
9/1/2011 | 3.79 M |
10/1/2011 | 3.95 M |
11/1/2011 | 3.29 M |
12/1/2011 | 3.27 M |
1/1/2012 | 3.86 M |
2/1/2012 | 3.48 M |
3/1/2012 | 3.95 M |
4/1/2012 | 4.2 M |
5/1/2012 | 3.89 M |
6/1/2012 | 3.8 M |
7/1/2012 | 3.93 M |
8/1/2012 | 3.94 M |
9/1/2012 | 3.91 M |
10/1/2012 | 4.13 M |
11/1/2012 | 3.58 M |
12/1/2012 | 3.4 M |
1/1/2013 | 3.84 M |
2/1/2013 | 3.84 M |
3/1/2013 | 4.05 M |
4/1/2013 | 4.42 M |
5/1/2013 | 4.2 M |
6/1/2013 | 4.06 M |
7/1/2013 | 4.1 M |
8/1/2013 | 4.21 M |
9/1/2013 | 4.18 M |
10/1/2013 | 4.61 M |
11/1/2013 | 3.77 M |
12/1/2013 | 3.52 M |
1/1/2014 | 4.03 M |
2/1/2014 | 4.22 M |
3/1/2014 | 4.33 M |
4/1/2014 | 5.07 M |
5/1/2014 | 4.81 M |
6/1/2014 | 4.88 M |
7/1/2014 | 5.12 M |
8/1/2014 | 5.48 M |
9/1/2014 | 4.98 M |
10/1/2014 | 5.41 M |
11/1/2014 | 4.46 M |
12/1/2014 | 4.47 M |
1/1/2015 | 5.24 M |
2/1/2015 | 5.27 M |
3/1/2015 | 5.16 M |
4/1/2015 | 6.17 M |
5/1/2015 | 5.61 M |
6/1/2015 | 5.14 M |
7/1/2015 | 6.39 M |
8/1/2015 | 5.62 M |
9/1/2015 | 5.58 M |
10/1/2015 | 6.21 M |
11/1/2015 | 5.27 M |
12/1/2015 | 5.13 M |
1/1/2016 | 5.89 M |
2/1/2016 | 5.55 M |
3/1/2016 | 6.06 M |
4/1/2016 | 6.36 M |
5/1/2016 | 5.77 M |
6/1/2016 | 5.62 M |
7/1/2016 | 6.41 M |
8/1/2016 | 5.85 M |
9/1/2016 | 5.96 M |
10/1/2016 | 5.97 M |
11/1/2016 | 5.54 M |
12/1/2016 | 5.29 M |
1/1/2017 | 5.53 M |
2/1/2017 | 5.67 M |
3/1/2017 | 5.74 M |
4/1/2017 | 6.65 M |
5/1/2017 | 5.84 M |
6/1/2017 | 6.22 M |
7/1/2017 | 6.66 M |
8/1/2017 | 6.47 M |
9/1/2017 | 6.44 M |
10/1/2017 | 6.68 M |
11/1/2017 | 5.83 M |
12/1/2017 | 5.68 M |
1/1/2018 | 6.57 M |
2/1/2018 | 6.27 M |
3/1/2018 | 6.74 M |
4/1/2018 | 7.41 M |
5/1/2018 | 7.02 M |
6/1/2018 | 7.2 M |
7/1/2018 | 7.61 M |
8/1/2018 | 7.44 M |
9/1/2018 | 7.5 M |
10/1/2018 | 7.67 M |
11/1/2018 | 7.09 M |
12/1/2018 | 6.74 M |
1/1/2019 | 7.44 M |
2/1/2019 | 6.76 M |
3/1/2019 | 7.26 M |
4/1/2019 | 7.77 M |
5/1/2019 | 7.28 M |
6/1/2019 | 7.18 M |
7/1/2019 | 7.43 M |
8/1/2019 | 7.41 M |
9/1/2019 | 7.23 M |
10/1/2019 | 7.65 M |
11/1/2019 | 6.43 M |
12/1/2019 | 6.03 M |
1/1/2020 | 7.1 M |
2/1/2020 | 6.65 M |
3/1/2020 | 5.73 M |
4/1/2020 | 5.17 M |
5/1/2020 | 5.4 M |
6/1/2020 | 5.99 M |
7/1/2020 | 7.23 M |
8/1/2020 | 6.59 M |
9/1/2020 | 6.63 M |
10/1/2020 | 7.35 M |
11/1/2020 | 6.36 M |
12/1/2020 | 6.14 M |
1/1/2021 | 7.17 M |
2/1/2021 | 7.41 M |
3/1/2021 | 8.34 M |
4/1/2021 | 9.87 M |
5/1/2021 | 9.66 M |
6/1/2021 | 10.1 M |
7/1/2021 | 11.95 M |
8/1/2021 | 11.03 M |
9/1/2021 | 10.97 M |
10/1/2021 | 12.05 M |
11/1/2021 | 10.53 M |
12/1/2021 | 10.74 M |
1/1/2022 | 11.34 M |
2/1/2022 | 11.22 M |
3/1/2022 | 11.97 M |
4/1/2022 | 12.49 M |
5/1/2022 | 11.15 M |
6/1/2022 | 10.87 M |
7/1/2022 | 12.57 M |
8/1/2022 | 10.22 M |
9/1/2022 | 10.81 M |
10/1/2022 | 11.16 M |
11/1/2022 | 10.06 M |
12/1/2022 | 10.32 M |
1/1/2023 | 10.5 M |
2/1/2023 | 9.47 M |
3/1/2023 | 9.48 M |
4/1/2023 | 10.61 M |
5/1/2023 | 9.09 M |
6/1/2023 | 8.87 M |
7/1/2023 | 9.62 M |
8/1/2023 | 9.4 M |
9/1/2023 | 9.3 M |
10/1/2023 | 9.16 M |
11/1/2023 | 8.4 M |
12/1/2023 | 8.34 M |
1/1/2024 | 8.85 M |
2/1/2024 | 8.43 M |
3/1/2024 | 8.2 M |
4/1/2024 | 8.45 M |
5/1/2024 | 7.98 M |
6/1/2024 | 7.62 M |
7/1/2024 | 8.38 M |
8/1/2024 | 7.94 M |
Job Vacancies History
Date | Value |
---|---|
8/1/2024 | 7.939 M |
7/1/2024 | 8.378 M |
6/1/2024 | 7.621 M |
5/1/2024 | 7.977 M |
4/1/2024 | 8.453 M |
3/1/2024 | 8.197 M |
2/1/2024 | 8.43 M |
1/1/2024 | 8.845 M |
12/1/2023 | 8.344 M |
11/1/2023 | 8.395 M |
Similar Macro Indicators to Job Vacancies
Name | Current | Previous | Frequency |
---|---|---|---|
🇺🇸 ADP Employment Change | 152,000 | 188,000 | Monthly |
🇺🇸 Announcements of Hiring Plans | 4,236 Persons | 9,802 Persons | Monthly |
🇺🇸 Average Hourly Earnings | 0.4 % | 0.2 % | Monthly |
🇺🇸 Average Hourly Earnings YoY | 4.1 % | 4 % | Monthly |
🇺🇸 Average Weekly Hours | 34.3 Hours | 34.3 Hours | Monthly |
🇺🇸 Cancellation rate | 2.2 % | 2.2 % | Monthly |
🇺🇸 Challenger Job Cuts | 55,597 Persons | 72,821 Persons | Monthly |
🇺🇸 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 | 213,000 | 219,000 | frequency_weekly |
🇺🇸 Job Opportunities | 8.14 M | 7.919 M | Monthly |
🇺🇸 Job resignations | 3.459 M | 3.452 M | Monthly |
🇺🇸 Labor costs | 121.983 points | 121.397 points | Quarter |
🇺🇸 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/Hour | 7.25 USD/Hour | Annually |
🇺🇸 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 points | 111.827 points | Quarter |
🇺🇸 Retirement Age Men | 66.67 Years | 66.5 Years | Annually |
🇺🇸 Retirement Age Women | 66.67 Years | 66.5 Years | Annually |
🇺🇸 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 Claims 4-Week Average | 240,750 | 238,250 | frequency_weekly |
🇺🇸 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/Hour | 29.85 USD/Hour | Monthly |
🇺🇸 Wages in Manufacturing | 28.19 USD/Hour | 28.12 USD/Hour | Monthly |
🇺🇸 Youth Unemployment Rate | 9.5 % | 9.2 % | Monthly |
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇴Bolivia
- 🇧🇷Brazil
- 🇨🇦Canada
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Job Vacancies?
Job Vacancies within the macroeconomic spectrum are a critical indicator of economic health and growth potential, and at Eulerpool, our professional platform offers unparalleled insights into this vital category. By focusing on data accuracy, comprehensiveness, and real-time updates, we facilitate a deep understanding of job market trends, aiding economists, policymakers, and business leaders in making well-informed decisions. Job vacancies, in essence, represent the number of available positions that employers are actively seeking to fill within a specific period. These roles span across various sectors including technology, healthcare, manufacturing, and services, among others. By monitoring the fluctuations in job vacancies, analysts can infer numerous economic outcomes such as labor market tightness, consumer confidence, and overall economic vitality. At Eulerpool, we provide detailed data on job vacancies, breaking it down by industry, geography, and skill requirements. The importance of analyzing job vacancy data cannot be overstated. Firstly, it serves as a leading economic indicator, often preceding changes in employment figures. A surge in job vacancies typically forecasts an uptick in employment as businesses expand and seek additional workforce. Conversely, a decline in job openings might signal potential economic slowdowns or structural shifts within the market. One of the key insights derived from job vacancy data is the understanding of labor market dynamics. In periods of economic upswing, job vacancies usually rise as companies anticipate higher demand for their goods and services and consequently scale up their workforce. Analyzing this data helps businesses streamline their recruitment strategies, ensuring they are well-positioned to attract top talent when needed. Moreover, job vacancy data can reveal skills gaps within the economy. For instance, a prolonged high number of vacancies in a particular field might indicate a shortage of skilled professionals in that area. This is crucial for educational institutions and training providers, who can tailor their programs to bridge these gaps, fostering a workforce that meets market demands. At Eulerpool, our detailed datasets empower educational policymakers and career advisors with the knowledge to guide learning pathways effectively. Regional analysis of job vacancies is another dimension our platform excels in. By examining geographic trends, we provide a granular view of where job markets are thriving and where they might be lagging. This can aid governmental agencies in crafting targeted economic policies and support measures for regions experiencing both high growth and economic distress. For corporate strategists, understanding job vacancy trends can inform decisions on business expansion, site selection, and investment opportunities. A region with a high number of vacancies in a particular sector suggests a robust market and a conducive environment for business growth. Conversely, areas with persistently low vacancies might be reconsidered for new investments unless they represent untapped potential in an emerging field. Additionally, job vacancy data is instrumental in wage analysis. A higher number of vacancies in relation to the available labor force often exerts upward pressure on wages, as businesses compete to attract the limited talent pool. This scenario can lead to inflationary pressures within the economy, which central banks and financial institutions monitor closely. At Eulerpool, our macroeconomic data suites include detailed vacancy analytics that contribute to a comprehensive understanding of wage trends and inflation forecasts. The interplay between job vacancies and employment levels also offers a window into the effectiveness of labor policies. Employment programs, minimum wage laws, and other regulatory frameworks can significantly impact the number of job vacancies. A successful policy will ideally reflect in a balanced job market, where vacancies are promptly filled, signifying a healthy equilibrium between labor supply and demand. Our platform’s robust analytical tools enable users to conduct historical analyses, identifying patterns and anomalies over time. By leveraging Eulerpool’s historical data on job vacancies, analysts can compare present-day scenarios with past economic cycles, offering foresight into potential future trends. Such retrospective studies are invaluable for long-term strategic planning and economic forecasting. Furthermore, job vacancy trends provide context to other economic indicators such as Gross Domestic Product (GDP), consumer spending, and industrial production. For example, a surge in vacancies within the manufacturing sector can be an early signal of increased industrial activity, which might eventually reflect in higher GDP figures. By integrating job vacancy data with other macroeconomic indicators, Eulerpool provides a holistic view of economic conditions, supporting multifaceted analysis and strategy development. In summary, the category of Job Vacancies is a crucial component of macroeconomic analysis, and Eulerpool stands at the forefront of delivering precise and actionable data in this domain. Our commitment to accuracy and comprehensiveness ensures that our users have access to the most relevant information, empowering them to make informed decisions across various sectors and regions. Whether you are an economist, policymaker, corporate strategist, or an academic, our platform provides the insights needed to navigate the complex landscape of the labor market and drive economic success.