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Wallace 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 82481113  1.6  bar
Q2 88587213  1.5  bar
Q3 91690610  1.1  bar
Q4 84282022  2.6  bar
 
1991 Q1 82080416  2.0  bar
Q2 89386726  2.9  bar
Q3 88485628  3.2  bar
Q4 83681521  2.5  bar
 
1992 Q1 76674917  2.2  bar
Q2 85984712  1.4  bar
Q3 83180625  3.0  bar
Q4 82981613  1.6  bar
 
1993 Q1 81479915  1.8  bar
Q2 88286814  1.6  bar
Q3 82781314  1.7  bar
Q4 78277012  1.5  bar
 
1994 Q1 80877731  3.8  bar
Q2 90086337  4.1  bar
Q3 82279230  3.6  bar
Q4 82680224  2.9  bar
 
1995 Q1 88485628  3.2  bar
Q2 85883820  2.3  bar
Q3 90489212  1.3  bar
Q4 90288319  2.1  bar
 
1996 Q1 85383518  2.1  bar
Q2 86984128  3.2  bar
Q3 85984118  2.1  bar
Q4 86284913  1.5  bar
 
1997 Q1 82280022  2.7  bar
Q2 84382716  1.9  bar
Q3 86384419  2.2  bar
Q4 84282814  1.7  bar
 
1998 Q1 81179318  2.2  bar
Q2 84683214  1.7  bar
Q3 91389518  2.0  bar
Q4 81880612  1.5  bar
 
1999 Q1 85483717  2.0  bar
Q2 81280012  1.5  bar
Q3 91089218  2.0  bar
Q4 85484212  1.4  bar
 
2000 Q1 91389320  2.2  bar
Q2 89487915  1.7  bar
Q3 96293725  2.6  bar
Q4 93191021  2.3  bar
 
2001 Q1 93390825  2.7  bar
Q2 91989722  2.4  bar
Q3 92389132  3.5  bar
Q4 91488826  2.8  bar
 
2002 Q1 93791423  2.5  bar
Q2 92690521  2.3  bar
Q3 96293230  3.1  bar
Q4 94592124  2.5  bar
 
2003 Q1 92990326  2.8  bar
Q2 95292725  2.6  bar
Q3 1,00898226  2.6  bar
Q4 97294428  2.9  bar
 
2004 Q1 93090426  2.8  bar
Q2 91488727  3.0  bar
Q3 99796235  3.5  bar
Q4 93590332  3.4  bar
 
2005 Q1 95292527  2.8  bar
Q2 89887127  3.0  bar
Q3 96293131  3.2  bar
Q4 92890127  2.9  bar
 
2006 Q1 89486529  3.2  bar
Q2 85783027  3.2  bar
Q3 94891632  3.4  bar
Q4 89286428  3.1  bar
 
2007 Q1 87985326  3.0  bar
Q2 89086822  2.5  bar
Q3 95792928  2.9  bar
Q4 90287626  2.9  bar
 
2008 Q1 80776839  4.8  bar
Q2 78976425  3.2  bar
Q3 91787047  5.1  bar
Q4 86482143  5.0  bar
 
2009 Q1 89684056  6.3  bar
Q2 87883147  5.4  bar
Q3 96490757  5.9  bar
Q4 90585253  5.9  bar
 
2010 Q1 89780493  10.4  bar
Q2 89683066  7.4  bar
Q3 90086832  3.6  bar
Q4 89386330  3.4  bar
 
2011 Q1 86581847  5.4  bar
Q2 84681135  4.1  bar
Q3 91586946  5.0  bar
Q4 89585441  4.6  bar
 
2012 Q1 86382439  4.5  bar
Q2 84981435  4.1  bar
Q3 85681640  4.7  bar
Q4 90586936  4.0  bar
 
2013 Q1 84080733  3.9  bar
Q2 82779928  3.4  bar
Q3 84080832  3.8  bar
Q4 88986623  2.6  bar
 
2014 Q1 82780423  2.8  bar
Q2 91288923  2.5  bar
Q3 82279725  3.0  bar
Q4 91089119  2.1  bar
 
2015 Q1 84282022  2.6  bar
Q2 87985524  2.7  bar
Q3 83880929  3.5  bar
Q4 93591322  2.4  bar
 
2016 Q1 81779819  2.3  bar
Q2 87384924  2.7  bar
Q3 85482628  3.3  bar
Q4 88987019  2.1  bar
 
2017 Q1 83080921  2.5  bar
Q2 84882523  2.7  bar
Q3 85482628  3.3  bar
Q4 87685620  2.3  bar
 
2018 Q1 80878919  2.4  bar
Q2 74472618  2.4  bar
Q3 82379726  3.2  bar
Q4 84482420  2.4  bar
 
2019 Q1 81779423  2.8  bar
Q2 72470123  3.2  bar
Q3 82179229  3.5  bar
Q4 87585817  1.9  bar
 
2020 Q1 65263121  3.2  bar
Q2 60859216  2.6  bar
Q3 66264319  2.9  bar
Q4 71069515  2.1  bar
 
2021 Q1 71569421  2.9  bar
Q2 68467311  1.6  bar
Q3 73471420  2.7  bar
Q4 71970316  2.2  bar
 
2022 Q1 70168813  1.9  bar
Q2 65163813  2.0  bar
Q3 69367221  3.0  bar
Q4 67765918  2.7  bar
 
2023 Q1 71469222  3.1  bar
Q2 66164219  2.9  bar
Q3 70368221  3.0  bar
Q4 71369518  2.5  bar
 
2024 Q1 72970920  2.7  bar
Q2 71869721  2.9  bar
Q3 70367330  4.3  bar
Q4 72570025  3.4  bar
 


Sources: STI: PopStats and STI: Colossus