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Stonewall 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 90586441  4.5  bar
Q2 86984128  3.2  bar
Q3 93088644  4.7  bar
Q4 89986831  3.4  bar
 
1991 Q1 84279943  5.1  bar
Q2 83479539  4.7  bar
Q3 87383538  4.4  bar
Q4 81377934  4.2  bar
 
1992 Q1 84876385  10.0  bar
Q2 872755117  13.4  bar
Q3 984814170  17.3  bar
Q4 858742116  13.5  bar
 
1993 Q1 830718112  13.5  bar
Q2 81174170  8.6  bar
Q3 84178061  7.3  bar
Q4 78875929  3.7  bar
 
1994 Q1 80476242  5.2  bar
Q2 79076228  3.5  bar
Q3 86885216  1.8  bar
Q4 79577916  2.0  bar
 
1995 Q1 81076743  5.3  bar
Q2 79576134  4.3  bar
Q3 89087020  2.2  bar
Q4 81779621  2.6  bar
 
1996 Q1 82778245  5.4  bar
Q2 79176625  3.2  bar
Q3 84683016  1.9  bar
Q4 79478212  1.5  bar
 
1997 Q1 77971564  8.2  bar
Q2 76672739  5.1  bar
Q3 81477242  5.2  bar
Q4 76474618  2.4  bar
 
1998 Q1 79175536  4.6  bar
Q2 71869028  3.9  bar
Q3 75671046  6.1  bar
Q4 67762255  8.1  bar
 
1999 Q1 70563768  9.6  bar
Q2 69464450  7.2  bar
Q3 75271834  4.5  bar
Q4 63961227  4.2  bar
 
2000 Q1 79574847  5.9  bar
Q2 82678937  4.5  bar
Q3 88885632  3.6  bar
Q4 78375528  3.6  bar
 
2001 Q1 79675343  5.4  bar
Q2 83479638  4.6  bar
Q3 91087535  3.8  bar
Q4 83980930  3.6  bar
 
2002 Q1 82878345  5.4  bar
Q2 85581639  4.6  bar
Q3 89685937  4.1  bar
Q4 82479232  3.9  bar
 
2003 Q1 79575738  4.8  bar
Q2 82979039  4.7  bar
Q3 93890236  3.8  bar
Q4 86382637  4.3  bar
 
2004 Q1 77673343  5.5  bar
Q2 81577936  4.4  bar
Q3 96792839  4.0  bar
Q4 80477133  4.1  bar
 
2005 Q1 80476440  5.0  bar
Q2 75472331  4.1  bar
Q3 91188526  2.9  bar
Q4 82079426  3.2  bar
 
2006 Q1 82679531  3.8  bar
Q2 83480430  3.6  bar
Q3 1,00096535  3.5  bar
Q4 83881127  3.2  bar
 
2007 Q1 87083634  3.9  bar
Q2 85182823  2.7  bar
Q3 94591530  3.2  bar
Q4 85783225  2.9  bar
 
2008 Q1 84881830  3.5  bar
Q2 81578827  3.3  bar
Q3 92689828  3.0  bar
Q4 85082426  3.1  bar
 
2009 Q1 83480133  4.0  bar
Q2 82979831  3.7  bar
Q3 92488044  4.8  bar
Q4 80176635  4.4  bar
 
2010 Q1 71667046  6.4  bar
Q2 73769344  6.0  bar
Q3 78974346  5.8  bar
Q4 75071040  5.3  bar
 
2011 Q1 70566144  6.2  bar
Q2 70967237  5.2  bar
Q3 76571946  6.0  bar
Q4 75771542  5.5  bar
 
2012 Q1 73269636  4.9  bar
Q2 73570530  4.1  bar
Q3 78074337  4.7  bar
Q4 73069931  4.2  bar
 
2013 Q1 69466430  4.3  bar
Q2 71968534  4.7  bar
Q3 73970138  5.1  bar
Q4 68465034  5.0  bar
 
2014 Q1 66063129  4.4  bar
Q2 70968524  3.4  bar
Q3 71969227  3.8  bar
Q4 68565926  3.8  bar
 
2015 Q1 65762730  4.6  bar
Q2 67063931  4.6  bar
Q3 68766027  3.9  bar
Q4 64861632  4.9  bar
 
2016 Q1 60557530  5.0  bar
Q2 64962425  3.9  bar
Q3 65963029  4.4  bar
Q4 62259428  4.5  bar
 
2017 Q1 60858226  4.3  bar
Q2 61559619  3.1  bar
Q3 62560025  4.0  bar
Q4 59157318  3.0  bar
 
2018 Q1 57054921  3.7  bar
Q2 58056218  3.1  bar
Q3 61459222  3.6  bar
Q4 58156120  3.4  bar
 
2019 Q1 55553520  3.6  bar
Q2 57656214  2.4  bar
Q3 61159219  3.1  bar
Q4 57756116  2.8  bar
 
2020 Q1 60258616  2.7  bar
Q2 57054525  4.4  bar
Q3 64260834  5.3  bar
Q4 61859028  4.5  bar
 
2021 Q1 62359231  5.0  bar
Q2 62360320  3.2  bar
Q3 63861721  3.3  bar
Q4 61759918  2.9  bar
 
2022 Q1 59557421  3.5  bar
Q2 63061515  2.4  bar
Q3 90688620  2.2  bar
Q4 87185120  2.3  bar
 
2023 Q1 88586421  2.4  bar
Q2 91089416  1.8  bar
Q3 92890523  2.5  bar
Q4 90188120  2.2  bar
 
2024 Q1 86584322  2.5  bar
Q2 89687917  1.9  bar
Q3 93391320  2.1  bar
Q4 90888919  2.1  bar
 


Sources: STI: PopStats and STI: Colossus