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Camas 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 50246438  7.6  bar
Q2 47743641  8.6  bar
Q3 48046317  3.5  bar
Q4 46343924  5.2  bar
 
1991 Q1 39335538  9.7  bar
Q2 41438529  7.0  bar
Q3 49447915  3.0  bar
Q4 43842711  2.5  bar
 
1992 Q1 42940029  6.8  bar
Q2 46141546  10.0  bar
Q3 49847325  5.0  bar
Q4 43942217  3.9  bar
 
1993 Q1 38636620  5.2  bar
Q2 45242329  6.4  bar
Q3 39538114  3.5  bar
Q4 43040921  4.9  bar
 
1994 Q1 40538421  5.2  bar
Q2 44242715  3.4  bar
Q3 56455311  2.0  bar
Q4 4274207  1.6  bar
 
1995 Q1 41740116  3.8  bar
Q2 43441717  3.9  bar
Q3 55554510  1.8  bar
Q4 38837810  2.6  bar
 
1996 Q1 40037525  6.3  bar
Q2 42640125  5.9  bar
Q3 55353518  3.3  bar
Q4 39237715  3.8  bar
 
1997 Q1 48546025  5.2  bar
Q2 47244824  5.1  bar
Q3 42541411  2.6  bar
Q4 41439717  4.1  bar
 
1998 Q1 44241725  5.7  bar
Q2 35433420  5.6  bar
Q3 42440915  3.5  bar
Q4 4074007  1.7  bar
 
1999 Q1 45542629  6.4  bar
Q2 38235923  6.0  bar
Q3 40438816  4.0  bar
Q4 4124066  1.5  bar
 
2000 Q1 53651026  4.9  bar
Q2 52850820  3.8  bar
Q3 57555322  3.8  bar
Q4 51950217  3.3  bar
 
2001 Q1 55852830  5.4  bar
Q2 55553223  4.1  bar
Q3 60458618  3.0  bar
Q4 55753621  3.8  bar
 
2002 Q1 54952623  4.2  bar
Q2 56154021  3.7  bar
Q3 61559718  2.9  bar
Q4 60859414  2.3  bar
 
2003 Q1 57252646  8.0  bar
Q2 57252547  8.2  bar
Q3 59757027  4.5  bar
Q4 55453618  3.2  bar
 
2004 Q1 56752740  7.1  bar
Q2 54451529  5.3  bar
Q3 60858919  3.1  bar
Q4 57355617  3.0  bar
 
2005 Q1 62058436  5.8  bar
Q2 60557332  5.3  bar
Q3 65163120  3.1  bar
Q4 62460915  2.4  bar
 
2006 Q1 65061634  5.2  bar
Q2 62359132  5.1  bar
Q3 65864315  2.3  bar
Q4 62261012  1.9  bar
 
2007 Q1 62360221  3.4  bar
Q2 59757918  3.0  bar
Q3 66264913  2.0  bar
Q4 60359112  2.0  bar
 
2008 Q1 64261725  3.9  bar
Q2 61158427  4.4  bar
Q3 68465133  4.8  bar
Q4 62960227  4.3  bar
 
2009 Q1 64257171  11.1  bar
Q2 58252062  10.7  bar
Q3 64457965  10.1  bar
Q4 58252062  10.7  bar
 
2010 Q1 70060595  13.6  bar
Q2 64554996  14.9  bar
Q3 66159170  10.6  bar
Q4 64056575  11.7  bar
 
2011 Q1 62353687  14.0  bar
Q2 63954990  14.1  bar
Q3 67960475  11.0  bar
Q4 64557570  10.9  bar
 
2012 Q1 66557590  13.5  bar
Q2 67060169  10.3  bar
Q3 71265161  8.6  bar
Q4 69263458  8.4  bar
 
2013 Q1 63357063  10.0  bar
Q2 63658848  7.5  bar
Q3 67262745  6.7  bar
Q4 66962445  6.7  bar
 
2014 Q1 63057258  9.2  bar
Q2 61258527  4.4  bar
Q3 65663323  3.5  bar
Q4 65863523  3.5  bar
 
2015 Q1 62760126  4.1  bar
Q2 63361221  3.3  bar
Q3 67966019  2.8  bar
Q4 67265616  2.4  bar
 
2016 Q1 64761037  5.7  bar
Q2 65562332  4.9  bar
Q3 68566817  2.5  bar
Q4 67866315  2.2  bar
 
2017 Q1 66463628  4.2  bar
Q2 67264923  3.4  bar
Q3 71369815  2.1  bar
Q4 70269012  1.7  bar
 
2018 Q1 67564926  3.9  bar
Q2 66965613  1.9  bar
Q3 72170912  1.7  bar
Q4 70669214  2.0  bar
 
2019 Q1 66663729  4.4  bar
Q2 66064119  2.9  bar
Q3 70769314  2.0  bar
Q4 70969118  2.5  bar
 
2020 Q1 49948019  3.8  bar
Q2 46238874  16.0  bar
Q3 48845533  6.8  bar
Q4 46744918  3.9  bar
 
2021 Q1 50947930  5.9  bar
Q2 48746225  5.1  bar
Q3 51650313  2.5  bar
Q4 48046614  2.9  bar
 
2022 Q1 51849721  4.1  bar
Q2 50948821  4.1  bar
Q3 54753215  2.7  bar
Q4 49948217  3.4  bar
 
2023 Q1 54051228  5.2  bar
Q2 50148615  3.0  bar
Q3 53251616  3.0  bar
Q4 50348716  3.2  bar
 
2024 Q1 56853632  5.6  bar
Q2 53150526  4.9  bar
Q3 58256220  3.4  bar
Q4 53951821  3.9  bar
 


Sources: STI: Colossus