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Garfield 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 86084515  1.7  bar
Q2 88286814  1.6  bar
Q3 1,00498717  1.7  bar
Q4 90588124  2.7  bar
 
1991 Q1 78676521  2.7  bar
Q2 93091614  1.5  bar
Q3 1,0271,01413  1.3  bar
Q4 9129057  0.8  bar
 
1992 Q1 81980316  2.0  bar
Q2 97296111  1.1  bar
Q3 1,0471,03017  1.6  bar
Q4 89587520  2.2  bar
 
1993 Q1 83981722  2.6  bar
Q2 86785710  1.2  bar
Q3 96695016  1.7  bar
Q4 87386112  1.4  bar
 
1994 Q1 93088842  4.5  bar
Q2 1,00496242  4.2  bar
Q3 1,02198437  3.6  bar
Q4 92489727  2.9  bar
 
1995 Q1 81478628  3.4  bar
Q2 91289121  2.3  bar
Q3 95392132  3.4  bar
Q4 91788829  3.2  bar
 
1996 Q1 87783839  4.4  bar
Q2 96994128  2.9  bar
Q3 1,0271,00027  2.6  bar
Q4 96794126  2.7  bar
 
1997 Q1 75773126  3.4  bar
Q2 82780423  2.8  bar
Q3 1,00597332  3.2  bar
Q4 99695244  4.4  bar
 
1998 Q1 80777136  4.5  bar
Q2 88986425  2.8  bar
Q3 1,01897840  3.9  bar
Q4 1,03899147  4.5  bar
 
1999 Q1 1,01597144  4.3  bar
Q2 1,0591,02732  3.0  bar
Q3 1,0651,04322  2.1  bar
Q4 1,1321,10131  2.7  bar
 
2000 Q1 73469440  5.4  bar
Q2 70967930  4.2  bar
Q3 68566025  3.6  bar
Q4 75372726  3.5  bar
 
2001 Q1 64861533  5.1  bar
Q2 67165021  3.1  bar
Q3 68466420  2.9  bar
Q4 73571619  2.6  bar
 
2002 Q1 58255329  5.0  bar
Q2 58456123  3.9  bar
Q3 64261923  3.6  bar
Q4 64863315  2.3  bar
 
2003 Q1 59856236  6.0  bar
Q2 67364726  3.9  bar
Q3 62460717  2.7  bar
Q4 61459816  2.6  bar
 
2004 Q1 61758631  5.0  bar
Q2 65362924  3.7  bar
Q3 66364518  2.7  bar
Q4 67565421  3.1  bar
 
2005 Q1 62758740  6.4  bar
Q2 62360221  3.4  bar
Q3 66664818  2.7  bar
Q4 63361419  3.0  bar
 
2006 Q1 61557738  6.2  bar
Q2 62360122  3.5  bar
Q3 70068218  2.6  bar
Q4 62961514  2.2  bar
 
2007 Q1 60658323  3.8  bar
Q2 61459717  2.8  bar
Q3 66664917  2.6  bar
Q4 65864117  2.6  bar
 
2008 Q1 65562629  4.4  bar
Q2 69467420  2.9  bar
Q3 67265121  3.1  bar
Q4 65163021  3.2  bar
 
2009 Q1 69666135  5.0  bar
Q2 70468321  3.0  bar
Q3 63160823  3.6  bar
Q4 59657620  3.4  bar
 
2010 Q1 78074733  4.2  bar
Q2 80577926  3.2  bar
Q3 72670620  2.8  bar
Q4 77074921  2.7  bar
 
2011 Q1 82178734  4.1  bar
Q2 77174526  3.4  bar
Q3 75272428  3.7  bar
Q4 77174823  3.0  bar
 
2012 Q1 78875929  3.7  bar
Q2 79177318  2.3  bar
Q3 76173526  3.4  bar
Q4 81379419  2.3  bar
 
2013 Q1 72069030  4.2  bar
Q2 76174219  2.5  bar
Q3 81479222  2.7  bar
Q4 80578124  3.0  bar
 
2014 Q1 71869424  3.3  bar
Q2 72671115  2.1  bar
Q3 80578322  2.7  bar
Q4 78376617  2.2  bar
 
2015 Q1 74471628  3.8  bar
Q2 75372924  3.2  bar
Q3 80378518  2.2  bar
Q4 75273319  2.5  bar
 
2016 Q1 73870830  4.1  bar
Q2 76874820  2.6  bar
Q3 81079020  2.5  bar
Q4 73470925  3.4  bar
 
2017 Q1 74871830  4.0  bar
Q2 77475222  2.8  bar
Q3 79977524  3.0  bar
Q4 73871919  2.6  bar
 
2018 Q1 74171823  3.1  bar
Q2 71469816  2.2  bar
Q3 73571520  2.7  bar
Q4 76374320  2.6  bar
 
2019 Q1 74371924  3.2  bar
Q2 73572213  1.8  bar
Q3 73171615  2.1  bar
Q4 78877216  2.0  bar
 
2020 Q1 68565926  3.8  bar
Q2 72269032  4.4  bar
Q3 60859315  2.5  bar
Q4 71970712  1.7  bar
 
2021 Q1 70568124  3.4  bar
Q2 69567718  2.6  bar
Q3 61960415  2.4  bar
Q4 70168516  2.3  bar
 
2022 Q1 70567926  3.7  bar
Q2 72570718  2.5  bar
Q3 63962415  2.3  bar
Q4 73071713  1.8  bar
 
2023 Q1 70867533  4.7  bar
Q2 73872018  2.4  bar
Q3 63061713  2.1  bar
Q4 71870414  1.9  bar
 
2024 Q1 70966841  5.8  bar
Q2 68966821  3.0  bar
Q3 66965514  2.1  bar
Q4 65964712  1.8  bar
 


Sources: STI: PopStats and STI: Colossus