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Hyde 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 80776641  5.1  bar
Q2 83380726  3.1  bar
Q3 81978435  4.3  bar
Q4 83681323  2.8  bar
 
1991 Q1 78075921  2.7  bar
Q2 82780918  2.2  bar
Q3 80777631  3.8  bar
Q4 83982118  2.1  bar
 
1992 Q1 79076723  2.9  bar
Q2 83781918  2.2  bar
Q3 82579431  3.8  bar
Q4 83582510  1.2  bar
 
1993 Q1 74271230  4.0  bar
Q2 77574926  3.4  bar
Q3 76874325  3.3  bar
Q4 76374518  2.4  bar
 
1994 Q1 80378122  2.7  bar
Q2 84882622  2.6  bar
Q3 82179427  3.3  bar
Q4 89386825  2.8  bar
 
1995 Q1 88184041  4.7  bar
Q2 90487430  3.3  bar
Q3 87482747  5.4  bar
Q4 90887434  3.7  bar
 
1996 Q1 87183833  3.8  bar
Q2 89885840  4.5  bar
Q3 84981435  4.1  bar
Q4 90688125  2.8  bar
 
1997 Q1 84981534  4.0  bar
Q2 86584124  2.8  bar
Q3 89785542  4.7  bar
Q4 91388528  3.1  bar
 
1998 Q1 92589728  3.0  bar
Q2 94392617  1.8  bar
Q3 91889127  2.9  bar
Q4 89085931  3.5  bar
 
1999 Q1 90888325  2.8  bar
Q2 90088020  2.2  bar
Q3 88586619  2.1  bar
Q4 90889612  1.3  bar
 
2000 Q1 85382825  2.9  bar
Q2 85183120  2.4  bar
Q3 86584520  2.3  bar
Q4 83581817  2.0  bar
 
2001 Q1 84582124  2.8  bar
Q2 85983623  2.7  bar
Q3 87184922  2.5  bar
Q4 88686620  2.3  bar
 
2002 Q1 81878632  3.9  bar
Q2 80478222  2.7  bar
Q3 81779522  2.7  bar
Q4 79677818  2.3  bar
 
2003 Q1 80377330  3.7  bar
Q2 85583322  2.6  bar
Q3 86984029  3.3  bar
Q4 85683026  3.0  bar
 
2004 Q1 86683135  4.0  bar
Q2 83981524  2.9  bar
Q3 86283131  3.6  bar
Q4 79376924  3.0  bar
 
2005 Q1 77974435  4.5  bar
Q2 74471727  3.6  bar
Q3 79576629  3.6  bar
Q4 78375627  3.4  bar
 
2006 Q1 74971336  4.8  bar
Q2 75773225  3.3  bar
Q3 80678125  3.1  bar
Q4 77175120  2.6  bar
 
2007 Q1 69066129  4.2  bar
Q2 70568124  3.4  bar
Q3 78175724  3.1  bar
Q4 70268319  2.7  bar
 
2008 Q1 68166021  3.1  bar
Q2 68767116  2.3  bar
Q3 76874820  2.6  bar
Q4 73371221  2.9  bar
 
2009 Q1 72468737  5.1  bar
Q2 76073723  3.0  bar
Q3 77574926  3.4  bar
Q4 73571223  3.1  bar
 
2010 Q1 76372934  4.5  bar
Q2 81478727  3.3  bar
Q3 80577431  3.9  bar
Q4 79577025  3.1  bar
 
2011 Q1 74471232  4.3  bar
Q2 78475727  3.4  bar
Q3 80478123  2.9  bar
Q4 77574926  3.4  bar
 
2012 Q1 75172031  4.1  bar
Q2 76374023  3.0  bar
Q3 80377825  3.1  bar
Q4 75573124  3.2  bar
 
2013 Q1 70668026  3.7  bar
Q2 72770324  3.3  bar
Q3 72670521  2.9  bar
Q4 70267824  3.4  bar
 
2014 Q1 70368320  2.8  bar
Q2 71969821  2.9  bar
Q3 71669818  2.5  bar
Q4 71169021  3.0  bar
 
2015 Q1 67565421  3.1  bar
Q2 73571520  2.7  bar
Q3 74572619  2.6  bar
Q4 69567619  2.7  bar
 
2016 Q1 65763720  3.0  bar
Q2 72370518  2.5  bar
Q3 73371221  2.9  bar
Q4 67165417  2.5  bar
 
2017 Q1 68166021  3.1  bar
Q2 69367617  2.5  bar
Q3 70468321  3.0  bar
Q4 65863919  2.9  bar
 
2018 Q1 66764819  2.8  bar
Q2 68166021  3.1  bar
Q3 70168417  2.4  bar
Q4 65964217  2.6  bar
 
2019 Q1 69366528  4.0  bar
Q2 67465024  3.6  bar
Q3 66865018  2.7  bar
Q4 70468420  2.8  bar
 
2020 Q1 69667818  2.6  bar
Q2 68466321  3.1  bar
Q3 67966217  2.5  bar
Q4 69167615  2.2  bar
 
2021 Q1 65063713  2.0  bar
Q2 68367013  1.9  bar
Q3 65864513  2.0  bar
Q4 69067614  2.0  bar
 
2022 Q1 65564510  1.5  bar
Q2 70269012  1.7  bar
Q3 66665313  2.0  bar
Q4 67566312  1.8  bar
 
2023 Q1 64563510  1.6  bar
Q2 66465410  1.5  bar
Q3 66765710  1.5  bar
Q4 67966811  1.6  bar
 
2024 Q1 6736649  1.3  bar
Q2 69467717  2.4  bar
Q3 69267418  2.6  bar
Q4 7087008  1.1  bar
 


Sources: STI: PopStats and STI: Colossus