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Capitol Planning Region – 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 497,775473,98623,789  4.8  bar
Q2 502,892480,47822,414  4.5  bar
Q3 514,280489,15225,128  4.9  bar
Q4 505,299481,97723,322  4.6  bar
 
1991 Q1 502,168471,33430,834  6.1  bar
Q2 502,631472,98929,642  5.9  bar
Q3 513,179477,86935,310  6.9  bar
Q4 504,844471,18333,661  6.7  bar
 
1992 Q1 497,827457,90039,927  8.0  bar
Q2 493,202457,28835,914  7.3  bar
Q3 507,658468,23039,428  7.8  bar
Q4 492,069458,11333,956  6.9  bar
 
1993 Q1 488,167448,18139,986  8.2  bar
Q2 484,156449,14435,012  7.2  bar
Q3 498,181462,48735,694  7.2  bar
Q4 486,179456,73729,442  6.1  bar
 
1994 Q1 477,088444,25232,836  6.9  bar
Q2 472,469444,47727,992  5.9  bar
Q3 482,095452,74629,349  6.1  bar
Q4 473,516448,07525,441  5.4  bar
 
1995 Q1 465,709435,32030,389  6.5  bar
Q2 463,453436,60926,844  5.8  bar
Q3 471,633442,83428,799  6.1  bar
Q4 465,170441,47723,693  5.1  bar
 
1996 Q1 456,256427,41928,837  6.3  bar
Q2 460,802436,13524,667  5.4  bar
Q3 471,824444,28627,538  5.8  bar
Q4 467,519443,32324,196  5.2  bar
 
1997 Q1 460,902431,81929,083  6.3  bar
Q2 461,456438,02523,431  5.1  bar
Q3 469,442445,39424,048  5.1  bar
Q4 460,216441,55218,664  4.1  bar
 
1998 Q1 449,260428,50420,756  4.6  bar
Q2 448,955434,98413,971  3.1  bar
Q3 461,592445,28116,311  3.5  bar
Q4 456,078443,97412,104  2.7  bar
 
1999 Q1 455,428439,96515,463  3.4  bar
Q2 452,060440,70611,354  2.5  bar
Q3 461,172448,07413,098  2.8  bar
Q4 458,982448,71210,270  2.2  bar
 
2000 Q1 472,063457,88714,176  3.0  bar
Q2 470,490461,1019,389  2.0  bar
Q3 477,243464,74412,499  2.6  bar
Q4 471,951463,8298,122  1.7  bar
 
2001 Q1 471,430457,22014,210  3.0  bar
Q2 467,395455,36312,032  2.6  bar
Q3 475,150459,12616,024  3.4  bar
Q4 469,658455,90913,749  2.9  bar
 
2002 Q1 466,657447,22519,432  4.2  bar
Q2 468,622450,40518,217  3.9  bar
Q3 481,614457,97623,638  4.9  bar
Q4 478,774456,10022,674  4.7  bar
 
2003 Q1 475,815446,53129,284  6.2  bar
Q2 475,169448,36026,809  5.6  bar
Q3 482,662452,63730,025  6.2  bar
Q4 477,364452,23525,129  5.3  bar
 
2004 Q1 475,928446,91629,012  6.1  bar
Q2 471,242446,93524,307  5.2  bar
Q3 482,655455,06327,592  5.7  bar
Q4 474,445451,26323,182  4.9  bar
 
2005 Q1 473,144445,91227,232  5.8  bar
Q2 476,792453,19523,597  4.9  bar
Q3 488,669462,43926,230  5.4  bar
Q4 486,891464,34022,551  4.6  bar
 
2006 Q1 484,847459,37225,475  5.3  bar
Q2 487,502466,29021,212  4.4  bar
Q3 501,064475,93625,128  5.0  bar
Q4 497,649477,07920,570  4.1  bar
 
2007 Q1 495,036468,83926,197  5.3  bar
Q2 494,717473,29221,425  4.3  bar
Q3 508,273482,35325,920  5.1  bar
Q4 503,801481,27722,524  4.5  bar
 
2008 Q1 502,787474,39128,396  5.6  bar
Q2 502,312478,46823,844  4.7  bar
Q3 517,126485,42631,700  6.1  bar
Q4 513,907483,49930,408  5.9  bar
 
2009 Q1 507,792468,08939,703  7.8  bar
Q2 508,792470,75638,036  7.5  bar
Q3 525,309479,31445,995  8.8  bar
Q4 516,478471,79544,683  8.7  bar
 
2010 Q1 521,665468,64253,023  10.2  bar
Q2 523,881475,85348,028  9.2  bar
Q3 531,708478,84252,866  9.9  bar
Q4 530,491482,56147,930  9.0  bar
 
2011 Q1 524,545472,45652,089  9.9  bar
Q2 523,163477,24145,922  8.8  bar
Q3 530,915480,94749,968  9.4  bar
Q4 529,781484,82244,959  8.5  bar
 
2012 Q1 519,825473,65846,167  8.9  bar
Q2 517,803477,71440,089  7.7  bar
Q3 523,303475,55547,748  9.1  bar
Q4 518,818476,86341,955  8.1  bar
 
2013 Q1 511,378465,70145,677  8.9  bar
Q2 508,107469,12738,980  7.7  bar
Q3 522,231477,91544,316  8.5  bar
Q4 513,811475,02938,782  7.5  bar
 
2014 Q1 514,957476,13138,826  7.5  bar
Q2 513,703481,86831,835  6.2  bar
Q3 528,085490,30137,784  7.2  bar
Q4 525,998494,29531,703  6.0  bar
 
2015 Q1 000  0.0  bar
Q2 000  0.0  bar
Q3 000  0.0  bar
Q4 000  0.0  bar
 
2016 Q1 000  0.0  bar
Q2 000  0.0  bar
Q3 000  0.0  bar
Q4 000  0.0  bar
 
2017 Q1 000  0.0  bar
Q2 000  0.0  bar
Q3 000  0.0  bar
Q4 000  0.0  bar
 
2018 Q1 000  0.0  bar
Q2 000  0.0  bar
Q3 000  0.0  bar
Q4 000  0.0  bar
 
2019 Q1 000  0.0  bar
Q2 000  0.0  bar
Q3 000  0.0  bar
Q4 000  0.0  bar
 
2020 Q1 523,327500,93022,397  4.3  bar
Q2 496,796459,18337,613  7.6  bar
Q3 522,563457,55265,011  12.4  bar
Q4 497,360459,87937,481  7.5  bar
 
2021 Q1 490,722451,82338,899  7.9  bar
Q2 484,196448,95535,241  7.3  bar
Q3 501,959465,41136,548  7.3  bar
Q4 507,986479,67228,314  5.6  bar
 
2022 Q1 522,050493,47128,579  5.5  bar
Q2 509,620488,13421,486  4.2  bar
Q3 514,839492,11922,720  4.4  bar
Q4 508,105489,91318,192  3.6  bar
 
2023 Q1 507,507487,93819,569  3.9  bar
Q2 502,874489,56213,312  2.6  bar
Q3 514,749497,10617,643  3.4  bar
Q4 512,295496,53215,763  3.1  bar
 
2024 Q1 511,526492,42819,098  3.7  bar
Q2 509,044494,57014,474  2.8  bar
Q3 521,464501,83619,628  3.8  bar
Q4 520,087504,34615,741  3.0  bar
 


Sources: STI: PopStats and STI: Colossus