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Jackson County – Unemployment History 2024

Unemployment Word Cloud

Unemployment statistics are among the most critical indicators used to assess the health and stability of a local economy. These statistics provide valuable insights into labor market conditions, economic growth, and social well-being, helping policymakers, businesses, and researchers make informed decisions. Understanding unemployment trends allows stakeholders to identify economic strengths, weaknesses, and necessary interventions to foster sustainable development.

  1. Measuring Economic Health Unemployment rates serve as a barometer for the overall economic performance of a local economy. A low unemployment rate typically indicates a robust economy where businesses are expanding, consumer spending is strong, and job opportunities are plentiful. Conversely, high unemployment suggests economic distress, such as business closures, reduced consumer demand, or industrial decline. By tracking these trends, economists and local governments can gauge whether the economy is growing, stagnating, or contracting.

  2. Informing Policy Decisions Governments and policymakers rely on unemployment data to design and implement effective economic strategies. For instance, if a local economy experiences rising unemployment, policymakers might introduce job training programs, tax incentives for businesses, or infrastructure projects to stimulate employment. Conversely, if unemployment is too low, it may signal labor shortages, prompting policies that encourage workforce participation, such as childcare support or immigration adjustments. Without accurate unemployment statistics, policymakers would struggle to address labor market challenges effectively.

  3. Assessing Labor Market Dynamics Unemployment statistics reveal more than just joblessness-they highlight structural issues within the labor market. For example:
    • Frictional Unemployment (short-term joblessness due to workers transitioning between jobs) indicates a dynamic economy with fluid job mobility.
    • Structural Unemployment (mismatches between workers' skills and job openings) suggests a need for education and retraining programs.
    • Cyclical Unemployment (job losses due to economic downturns) calls for stimulus measures to revive demand.


    By analyzing these categories, local leaders can tailor workforce development initiatives to address specific labor market inefficiencies.

  4. Impact on Consumer Spending and Business Confidence Employment levels directly influence consumer spending, which drives local economic activity. High unemployment reduces disposable income, leading to lower retail sales, decreased tax revenues, and potential business cutbacks. Conversely, low unemployment boosts consumer confidence and spending, encouraging business expansion and investment. Businesses also monitor unemployment trends to assess labor availability and plan hiring strategies accordingly.

  5. Identifying Regional Disparities Unemployment statistics help identify disparities between different regions, industries, or demographic groups within a local economy. For example, certain areas may suffer from higher unemployment due to the decline of a dominant industry (e.g., manufacturing), while others thrive in growing sectors (e.g., technology). Similarly, youth or minority unemployment rates may be disproportionately high, signaling the need for targeted social and economic programs.

  6. Influencing Investment and Development Investors and developers use unemployment data to assess the viability of local markets. A high-unemployment region may deter investment due to reduced consumer demand, whereas areas with strong employment growth attract businesses and infrastructure projects. Municipalities can leverage favorable unemployment statistics to promote economic development and attract new industries.


Conclusion

Unemployment statistics are indispensable for understanding the local economy's dynamics, strengths, and challenges. They guide policy formulation, highlight labor market inefficiencies, influence business and consumer behavior, and help address socioeconomic disparities. By continuously monitoring and analyzing unemployment trends, local economies can implement proactive measures to ensure stability, growth, and equitable opportunities for all residents.

 
Quarter
Labor Pool
Employed
Unemployed
    Unemployment Rate %
     
1990 Q1 82478242  5.1  bar
Q2 93688551  5.4  bar
Q3 97596312  1.2  bar
Q4 8448359  1.1  bar
 
1991 Q1 80277428  3.5  bar
Q2 92385370  7.6  bar
Q3 1,0561,00254  5.1  bar
Q4 91086545  4.9  bar
 
1992 Q1 85579461  7.1  bar
Q2 92383489  9.6  bar
Q3 1,0981,04850  4.6  bar
Q4 95990455  5.7  bar
 
1993 Q1 99591778  7.8  bar
Q2 97988891  9.3  bar
Q3 1,2501,19060  4.8  bar
Q4 1,1891,14643  3.6  bar
 
1994 Q1 91587540  4.4  bar
Q2 89284844  4.9  bar
Q3 1,1361,05185  7.5  bar
Q4 1,02595471  6.9  bar
 
1995 Q1 891789102  11.4  bar
Q2 90881494  10.4  bar
Q3 1,00396439  3.9  bar
Q4 92889929  3.1  bar
 
1996 Q1 89281379  8.9  bar
Q2 87580372  8.2  bar
Q3 95391538  4.0  bar
Q4 95690947  4.9  bar
 
1997 Q1 89280092  10.3  bar
Q2 85979366  7.7  bar
Q3 96693729  3.0  bar
Q4 95692036  3.8  bar
 
1998 Q1 94186279  8.4  bar
Q2 90384558  6.4  bar
Q3 97392944  4.5  bar
Q4 96091446  4.8  bar
 
1999 Q1 89382271  8.0  bar
Q2 95990257  5.9  bar
Q3 99996930  3.0  bar
Q4 88086119  2.2  bar
 
2000 Q1 78375627  3.4  bar
Q2 82380320  2.4  bar
Q3 98896622  2.2  bar
Q4 92990623  2.5  bar
 
2001 Q1 80477430  3.7  bar
Q2 91387538  4.2  bar
Q3 99696531  3.1  bar
Q4 1,2471,20542  3.4  bar
 
2002 Q1 1,0811,03348  4.4  bar
Q2 98593253  5.4  bar
Q3 1,1391,09247  4.1  bar
Q4 1,1661,11749  4.2  bar
 
2003 Q1 1,1661,09868  5.8  bar
Q2 99192467  6.8  bar
Q3 1,2461,19551  4.1  bar
Q4 1,1191,07841  3.7  bar
 
2004 Q1 1,0661,01749  4.6  bar
Q2 1,1231,08043  3.8  bar
Q3 1,2621,22438  3.0  bar
Q4 1,0401,00337  3.6  bar
 
2005 Q1 1,0531,00449  4.7  bar
Q2 1,0601,01248  4.5  bar
Q3 1,2731,23142  3.3  bar
Q4 1,1821,14339  3.3  bar
 
2006 Q1 1,00896543  4.3  bar
Q2 1,0331,00033  3.2  bar
Q3 1,2661,23630  2.4  bar
Q4 1,0921,06527  2.5  bar
 
2007 Q1 1,01898335  3.4  bar
Q2 99897325  2.5  bar
Q3 1,1981,17325  2.1  bar
Q4 1,1721,14923  2.0  bar
 
2008 Q1 1,0581,02038  3.6  bar
Q2 78975534  4.3  bar
Q3 1,2761,23937  2.9  bar
Q4 1,2311,19734  2.8  bar
 
2009 Q1 1,1441,09153  4.6  bar
Q2 1,0921,03260  5.5  bar
Q3 1,4401,38456  3.9  bar
Q4 1,4911,43853  3.6  bar
 
2010 Q1 82974782  9.9  bar
Q2 83473995  11.4  bar
Q3 98489589  9.0  bar
Q4 97289676  7.8  bar
 
2011 Q1 85378469  8.1  bar
Q2 80773077  9.5  bar
Q3 96591451  5.3  bar
Q4 93288943  4.6  bar
 
2012 Q1 75070545  6.0  bar
Q2 76671551  6.7  bar
Q3 91887246  5.0  bar
Q4 84280537  4.4  bar
 
2013 Q1 74270240  5.4  bar
Q2 75371142  5.6  bar
Q3 87383439  4.5  bar
Q4 79976336  4.5  bar
 
2014 Q1 73870236  4.9  bar
Q2 77373241  5.3  bar
Q3 91188328  3.1  bar
Q4 83981821  2.5  bar
 
2015 Q1 75872929  3.8  bar
Q2 80577332  4.0  bar
Q3 92089030  3.3  bar
Q4 81379023  2.8  bar
 
2016 Q1 81679026  3.2  bar
Q2 80977930  3.7  bar
Q3 97595421  2.2  bar
Q4 93191615  1.6  bar
 
2017 Q1 90288319  2.1  bar
Q2 89487915  1.7  bar
Q3 1,0271,01512  1.2  bar
Q4 1,0321,01616  1.6  bar
 
2018 Q1 96494321  2.2  bar
Q2 93991227  2.9  bar
Q3 1,0521,03022  2.1  bar
Q4 1,01899424  2.4  bar
 
2019 Q1 86283131  3.6  bar
Q2 92790819  2.0  bar
Q3 1,0801,05723  2.1  bar
Q4 1,0811,06318  1.7  bar
 
2020 Q1 69567025  3.6  bar
Q2 68863157  8.3  bar
Q3 75572728  3.7  bar
Q4 82980326  3.1  bar
 
2021 Q1 72568342  5.8  bar
Q2 71667640  5.6  bar
Q3 79476529  3.7  bar
Q4 79276626  3.3  bar
 
2022 Q1 71668729  4.1  bar
Q2 68967118  2.6  bar
Q3 81279319  2.3  bar
Q4 76474816  2.1  bar
 
2023 Q1 65763621  3.2  bar
Q2 67966118  2.7  bar
Q3 74572520  2.7  bar
Q4 76074317  2.2  bar
 
2024 Q1 63060624  3.8  bar
Q2 67865325  3.7  bar
Q3 77074030  3.9  bar
Q4 78075426  3.3  bar
 


Sources: STI: Colossus