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Johnson 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 47,34545,7131,632  3.4  bar
Q2 46,96545,7021,263  2.7  bar
Q3 48,50347,2401,263  2.6  bar
Q4 47,96546,7141,251  2.6  bar
 
1991 Q1 48,36146,6981,663  3.4  bar
Q2 49,13847,4701,668  3.4  bar
Q3 49,96848,2861,682  3.4  bar
Q4 48,76447,3411,423  2.9  bar
 
1992 Q1 48,73346,9491,784  3.7  bar
Q2 49,44447,7381,706  3.5  bar
Q3 51,54549,3862,159  4.2  bar
Q4 50,24748,5811,666  3.3  bar
 
1993 Q1 50,89348,8492,044  4.0  bar
Q2 52,05650,2191,837  3.5  bar
Q3 53,98752,6851,302  2.4  bar
Q4 53,08951,8351,254  2.4  bar
 
1994 Q1 53,93152,1971,734  3.2  bar
Q2 54,42452,7881,636  3.0  bar
Q3 56,06454,3071,757  3.1  bar
Q4 56,13154,5311,600  2.9  bar
 
1995 Q1 57,27855,4581,820  3.2  bar
Q2 57,34655,8171,529  2.7  bar
Q3 58,40056,8451,555  2.7  bar
Q4 57,99156,6101,381  2.4  bar
 
1996 Q1 57,89456,0891,805  3.1  bar
Q2 58,46557,1741,291  2.2  bar
Q3 59,37357,9181,455  2.5  bar
Q4 58,98157,8811,100  1.9  bar
 
1997 Q1 59,08757,7891,298  2.2  bar
Q2 59,82058,7991,021  1.7  bar
Q3 61,70260,3971,305  2.1  bar
Q4 60,51459,3541,160  1.9  bar
 
1998 Q1 61,45560,1081,347  2.2  bar
Q2 61,52860,649879  1.4  bar
Q3 62,54161,2081,333  2.1  bar
Q4 62,11761,0401,077  1.7  bar
 
1999 Q1 63,12561,8331,292  2.0  bar
Q2 63,02762,113914  1.5  bar
Q3 63,99963,000999  1.6  bar
Q4 63,52262,4191,103  1.7  bar
 
2000 Q1 62,64961,0641,585  2.5  bar
Q2 62,85561,6091,246  2.0  bar
Q3 64,03962,7581,281  2.0  bar
Q4 63,05062,086964  1.5  bar
 
2001 Q1 64,12462,4211,703  2.7  bar
Q2 64,49563,0861,409  2.2  bar
Q3 66,05664,3021,754  2.7  bar
Q4 65,27463,3191,955  3.0  bar
 
2002 Q1 65,64362,8742,769  4.2  bar
Q2 66,14263,5682,574  3.9  bar
Q3 67,44264,9522,490  3.7  bar
Q4 66,60264,2872,315  3.5  bar
 
2003 Q1 66,93564,0852,850  4.3  bar
Q2 67,64065,0372,603  3.8  bar
Q3 69,46766,5812,886  4.2  bar
Q4 68,30665,7822,524  3.7  bar
 
2004 Q1 68,21365,0583,155  4.6  bar
Q2 68,12765,5322,595  3.8  bar
Q3 70,43567,3203,115  4.4  bar
Q4 68,87165,8103,061  4.4  bar
 
2005 Q1 68,83565,3533,482  5.1  bar
Q2 69,57966,5972,982  4.3  bar
Q3 71,66868,7022,966  4.1  bar
Q4 70,66667,7812,885  4.1  bar
 
2006 Q1 71,92868,9263,002  4.2  bar
Q2 72,35269,7232,629  3.6  bar
Q3 74,25371,3402,913  3.9  bar
Q4 73,86671,0772,789  3.8  bar
 
2007 Q1 73,00369,9163,087  4.2  bar
Q2 72,76870,3032,465  3.4  bar
Q3 74,03071,4672,563  3.5  bar
Q4 73,50871,0422,466  3.4  bar
 
2008 Q1 74,18971,2122,977  4.0  bar
Q2 75,16272,2612,901  3.9  bar
Q3 77,41473,8263,588  4.6  bar
Q4 76,27672,4953,781  5.0  bar
 
2009 Q1 75,20169,6295,572  7.4  bar
Q2 75,38069,2786,102  8.1  bar
Q3 76,65170,2036,448  8.4  bar
Q4 74,11868,1815,937  8.0  bar
 
2010 Q1 71,02364,4496,574  9.3  bar
Q2 71,74765,6096,138  8.6  bar
Q3 72,99566,8456,150  8.4  bar
Q4 71,51166,0085,503  7.7  bar
 
2011 Q1 71,09165,2115,880  8.3  bar
Q2 71,54166,4975,044  7.1  bar
Q3 73,55967,8965,663  7.7  bar
Q4 72,97267,5525,420  7.4  bar
 
2012 Q1 72,24066,7885,452  7.5  bar
Q2 71,98867,3404,648  6.5  bar
Q3 73,56168,3335,228  7.1  bar
Q4 72,96868,3144,654  6.4  bar
 
2013 Q1 72,71067,2585,452  7.5  bar
Q2 72,78268,5134,269  5.9  bar
Q3 75,30670,5654,741  6.3  bar
Q4 74,09569,9964,099  5.5  bar
 
2014 Q1 74,19770,1574,040  5.4  bar
Q2 74,83871,4403,398  4.5  bar
Q3 77,06373,1553,908  5.1  bar
Q4 76,02672,4953,531  4.6  bar
 
2015 Q1 76,06672,1883,878  5.1  bar
Q2 76,60473,7612,843  3.7  bar
Q3 78,94875,7973,151  4.0  bar
Q4 78,16975,2752,894  3.7  bar
 
2016 Q1 79,23475,9553,279  4.1  bar
Q2 80,07677,2622,814  3.5  bar
Q3 82,12779,2152,912  3.5  bar
Q4 80,02077,4152,605  3.3  bar
 
2017 Q1 79,58676,6442,942  3.7  bar
Q2 80,50578,5721,933  2.4  bar
Q3 82,26379,7672,496  3.0  bar
Q4 80,71478,5542,160  2.7  bar
 
2018 Q1 80,84178,2892,552  3.2  bar
Q2 82,15380,0252,128  2.6  bar
Q3 84,23881,8382,400  2.8  bar
Q4 82,82580,5022,323  2.8  bar
 
2019 Q1 83,04880,3092,739  3.3  bar
Q2 83,12481,3261,798  2.2  bar
Q3 85,00482,7082,296  2.7  bar
Q4 84,03181,9692,062  2.5  bar
 
2020 Q1 82,57879,9612,617  3.2  bar
Q2 76,98266,9849,998  13.0  bar
Q3 81,33475,1706,164  7.6  bar
Q4 82,35578,9403,415  4.1  bar
 
2021 Q1 82,02778,8403,187  3.9  bar
Q2 81,87779,4772,400  2.9  bar
Q3 84,03981,5032,536  3.0  bar
Q4 82,97581,1121,863  2.2  bar
 
2022 Q1 83,43981,2182,221  2.7  bar
Q2 83,96582,2541,711  2.0  bar
Q3 86,51984,0372,482  2.9  bar
Q4 85,25583,0722,183  2.6  bar
 
2023 Q1 85,46982,9742,495  2.9  bar
Q2 86,09884,1671,931  2.2  bar
Q3 88,03285,3662,666  3.0  bar
Q4 87,17784,6812,496  2.9  bar
 
2024 Q1 86,80283,8352,967  3.4  bar
Q2 87,79485,1672,627  3.0  bar
Q3 90,25586,5923,663  4.1  bar
Q4 89,06785,9943,073  3.5  bar
 


Sources: STI: PopStats and STI: Colossus