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Lake 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 64,08559,8454,240  6.6  bar
Q2 66,71560,9275,788  8.7  bar
Q3 70,33863,6946,644  9.4  bar
Q4 67,35962,0075,352  7.9  bar
 
1991 Q1 64,41059,2555,155  8.0  bar
Q2 65,14560,1115,034  7.7  bar
Q3 69,33062,2127,118  10.3  bar
Q4 67,12961,5215,608  8.4  bar
 
1992 Q1 65,82960,1325,697  8.7  bar
Q2 67,56861,7535,815  8.6  bar
Q3 72,93164,6058,326  11.4  bar
Q4 69,10363,5735,530  8.0  bar
 
1993 Q1 68,67063,3065,364  7.8  bar
Q2 69,94665,4784,468  6.4  bar
Q3 74,01867,9676,051  8.2  bar
Q4 72,03867,1274,911  6.8  bar
 
1994 Q1 72,00867,4714,537  6.3  bar
Q2 73,28268,9244,358  5.9  bar
Q3 77,34971,0566,293  8.1  bar
Q4 75,25171,0094,242  5.6  bar
 
1995 Q1 75,46871,5403,928  5.2  bar
Q2 76,30872,7073,601  4.7  bar
Q3 81,08275,4465,636  7.0  bar
Q4 79,12175,0254,096  5.2  bar
 
1996 Q1 77,99474,2713,723  4.8  bar
Q2 79,52476,2103,314  4.2  bar
Q3 84,53279,4615,071  6.0  bar
Q4 83,46879,8273,641  4.4  bar
 
1997 Q1 82,82779,1973,630  4.4  bar
Q2 84,10881,0983,010  3.6  bar
Q3 88,95284,0914,861  5.5  bar
Q4 87,83484,4093,425  3.9  bar
 
1998 Q1 87,58684,2963,290  3.8  bar
Q2 88,45186,0242,427  2.7  bar
Q3 93,56189,2484,313  4.6  bar
Q4 92,83189,8472,984  3.2  bar
 
1999 Q1 92,38390,0082,375  2.6  bar
Q2 94,43592,2582,177  2.3  bar
Q3 98,54895,1943,354  3.4  bar
Q4 97,77595,1782,597  2.7  bar
 
2000 Q1 91,55888,2903,268  3.6  bar
Q2 92,26889,4092,859  3.1  bar
Q3 95,67991,6714,008  4.2  bar
Q4 95,27191,8363,435  3.6  bar
 
2001 Q1 96,97393,1673,806  3.9  bar
Q2 97,50793,7333,774  3.9  bar
Q3 100,23095,4114,819  4.8  bar
Q4 98,07692,7915,285  5.4  bar
 
2002 Q1 97,71791,5896,128  6.3  bar
Q2 98,58092,8235,757  5.8  bar
Q3 101,92795,5166,411  6.3  bar
Q4 101,51195,9305,581  5.5  bar
 
2003 Q1 102,43496,2766,158  6.0  bar
Q2 102,73697,4355,301  5.2  bar
Q3 105,82899,7886,040  5.7  bar
Q4 105,636100,3525,284  5.0  bar
 
2004 Q1 108,152102,6865,466  5.1  bar
Q2 109,315104,4924,823  4.4  bar
Q3 113,761108,1065,655  5.0  bar
Q4 113,533108,6964,837  4.3  bar
 
2005 Q1 115,467110,4305,037  4.4  bar
Q2 117,104112,7154,389  3.7  bar
Q3 121,811116,9014,910  4.0  bar
Q4 122,062117,7954,267  3.5  bar
 
2006 Q1 123,673119,5614,112  3.3  bar
Q2 125,352121,6353,717  3.0  bar
Q3 129,712124,7864,926  3.8  bar
Q4 129,918125,4834,435  3.4  bar
 
2007 Q1 131,777126,5165,261  4.0  bar
Q2 132,516127,7974,719  3.6  bar
Q3 136,228130,1576,071  4.5  bar
Q4 135,823129,8385,985  4.4  bar
 
2008 Q1 136,655129,3937,262  5.3  bar
Q2 136,954129,8727,082  5.2  bar
Q3 140,092130,5099,583  6.8  bar
Q4 139,622128,95210,670  7.6  bar
 
2009 Q1 137,215123,93213,283  9.7  bar
Q2 136,623122,92613,697  10.0  bar
Q3 138,795123,08115,714  11.3  bar
Q4 137,720121,41716,303  11.8  bar
 
2010 Q1 132,164115,49016,674  12.6  bar
Q2 133,439117,89715,542  11.6  bar
Q3 136,038119,91516,123  11.9  bar
Q4 135,125119,62815,497  11.5  bar
 
2011 Q1 132,265116,70015,565  11.8  bar
Q2 132,475118,42714,048  10.6  bar
Q3 134,589119,77514,814  11.0  bar
Q4 134,123120,23613,887  10.4  bar
 
2012 Q1 130,490117,27313,217  10.1  bar
Q2 131,419119,64711,772  9.0  bar
Q3 134,795121,81312,982  9.6  bar
Q4 134,742123,18211,560  8.6  bar
 
2013 Q1 132,174120,45411,720  8.9  bar
Q2 132,916122,9659,951  7.5  bar
Q3 136,751125,86410,887  8.0  bar
Q4 135,758125,55110,207  7.5  bar
 
2014 Q1 135,140125,3599,781  7.2  bar
Q2 135,885127,2978,588  6.3  bar
Q3 139,313129,5179,796  7.0  bar
Q4 138,907130,1058,802  6.3  bar
 
2015 Q1 138,470129,6418,829  6.4  bar
Q2 139,830132,2867,544  5.4  bar
Q3 142,891134,5518,340  5.8  bar
Q4 142,908135,3507,558  5.3  bar
 
2016 Q1 143,232135,6627,570  5.3  bar
Q2 144,820137,9956,825  4.7  bar
Q3 148,305140,6777,628  5.1  bar
Q4 148,516141,2097,307  4.9  bar
 
2017 Q1 148,020140,5247,496  5.1  bar
Q2 149,544143,5336,011  4.0  bar
Q3 152,095145,3276,768  4.4  bar
Q4 152,445146,4575,988  3.9  bar
 
2018 Q1 152,547146,1756,372  4.2  bar
Q2 153,837148,6085,229  3.4  bar
Q3 156,860150,8526,008  3.8  bar
Q4 157,833152,4405,393  3.4  bar
 
2019 Q1 158,539152,2526,287  4.0  bar
Q2 159,826155,0594,767  3.0  bar
Q3 163,031157,0296,002  3.7  bar
Q4 164,094158,8125,282  3.2  bar
 
2020 Q1 171,447166,0115,436  3.2  bar
Q2 155,308134,55020,758  13.4  bar
Q3 163,634142,50121,133  12.9  bar
Q4 162,302151,22711,075  6.8  bar
 
2021 Q1 162,525153,2349,291  5.7  bar
Q2 166,137158,1947,943  4.8  bar
Q3 172,487164,0568,431  4.9  bar
Q4 176,208169,2746,934  3.9  bar
 
2022 Q1 179,587172,6516,936  3.9  bar
Q2 181,912176,8605,052  2.8  bar
Q3 185,964180,2775,687  3.1  bar
Q4 188,515183,0645,451  2.9  bar
 
2023 Q1 189,848184,1855,663  3.0  bar
Q2 192,833188,0484,785  2.5  bar
Q3 195,568189,3216,247  3.2  bar
Q4 196,868190,2986,570  3.3  bar
 
2024 Q1 194,659187,9636,696  3.4  bar
Q2 196,562190,6305,932  3.0  bar
Q3 198,653190,8357,818  3.9  bar
Q4 198,586191,4377,149  3.6  bar
 


Sources: STI: Colossus