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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 9,9568,0451,911  19.2  bar
Q2 10,1848,6021,582  15.5  bar
Q3 11,58111,003578  5.0  bar
Q4 10,0659,546519  5.2  bar
 
1991 Q1 9,8677,3922,475  25.1  bar
Q2 10,0587,9572,101  20.9  bar
Q3 11,28410,625659  5.8  bar
Q4 10,0389,389649  6.5  bar
 
1992 Q1 10,6227,5513,071  28.9  bar
Q2 10,1188,1531,965  19.4  bar
Q3 11,64411,173471  4.0  bar
Q4 10,3059,811494  4.8  bar
 
1993 Q1 10,3767,9252,451  23.6  bar
Q2 10,2788,6301,648  16.0  bar
Q3 11,86611,404462  3.9  bar
Q4 10,95110,423528  4.8  bar
 
1994 Q1 11,4608,4523,008  26.2  bar
Q2 11,2909,2592,031  18.0  bar
Q3 12,55912,179380  3.0  bar
Q4 11,77511,212563  4.8  bar
 
1995 Q1 11,8468,9352,911  24.6  bar
Q2 11,7969,6302,166  18.4  bar
Q3 12,81512,266549  4.3  bar
Q4 11,69111,154537  4.6  bar
 
1996 Q1 11,6278,9332,694  23.2  bar
Q2 11,5909,6041,986  17.1  bar
Q3 12,91312,473440  3.4  bar
Q4 11,89311,503390  3.3  bar
 
1997 Q1 11,7589,2792,479  21.1  bar
Q2 11,87410,1481,726  14.5  bar
Q3 13,33612,971365  2.7  bar
Q4 12,28511,888397  3.2  bar
 
1998 Q1 12,4289,8312,597  20.9  bar
Q2 12,01810,5431,475  12.3  bar
Q3 13,43113,111320  2.4  bar
Q4 12,54312,113430  3.4  bar
 
1999 Q1 12,0729,7582,314  19.2  bar
Q2 12,14910,4701,679  13.8  bar
Q3 13,59813,267331  2.4  bar
Q4 12,71312,302411  3.2  bar
 
2000 Q1 12,21010,3131,897  15.5  bar
Q2 12,70911,2981,411  11.1  bar
Q3 14,10513,602503  3.6  bar
Q4 12,88612,402484  3.8  bar
 
2001 Q1 12,47210,4112,061  16.5  bar
Q2 12,75610,9761,780  14.0  bar
Q3 14,29213,744548  3.8  bar
Q4 13,03412,435599  4.6  bar
 
2002 Q1 12,1479,7312,416  19.9  bar
Q2 12,25010,1382,112  17.2  bar
Q3 13,82413,199625  4.5  bar
Q4 12,36211,921441  3.6  bar
 
2003 Q1 12,0049,9112,093  17.4  bar
Q2 12,38810,4891,899  15.3  bar
Q3 13,84813,135713  5.1  bar
Q4 12,78312,072711  5.6  bar
 
2004 Q1 12,02210,0271,995  16.6  bar
Q2 12,32510,6451,680  13.6  bar
Q3 14,17313,570603  4.3  bar
Q4 12,94612,339607  4.7  bar
 
2005 Q1 11,99110,1061,885  15.7  bar
Q2 12,62911,0831,546  12.2  bar
Q3 14,82814,125703  4.7  bar
Q4 13,21612,531685  5.2  bar
 
2006 Q1 12,03010,2031,827  15.2  bar
Q2 12,35510,7611,594  12.9  bar
Q3 14,16013,362798  5.6  bar
Q4 12,63711,843794  6.3  bar
 
2007 Q1 11,7119,7171,994  17.0  bar
Q2 11,92610,3061,620  13.6  bar
Q3 13,84713,103744  5.4  bar
Q4 12,26611,502764  6.2  bar
 
2008 Q1 11,3829,3552,027  17.8  bar
Q2 11,62210,1811,441  12.4  bar
Q3 13,56112,662899  6.6  bar
Q4 12,02211,0181,004  8.4  bar
 
2009 Q1 11,1358,8772,258  20.3  bar
Q2 11,5579,5392,018  17.5  bar
Q3 13,14011,9501,190  9.1  bar
Q4 11,66210,5221,140  9.8  bar
 
2010 Q1 11,0628,4262,636  23.8  bar
Q2 10,7699,1061,663  15.4  bar
Q3 12,34511,2371,108  9.0  bar
Q4 10,8929,911981  9.0  bar
 
2011 Q1 10,3368,2392,097  20.3  bar
Q2 10,2268,8871,339  13.1  bar
Q3 11,92910,982947  7.9  bar
Q4 10,7599,939820  7.6  bar
 
2012 Q1 10,0988,1441,954  19.4  bar
Q2 9,8048,4321,372  14.0  bar
Q3 11,63410,737897  7.7  bar
Q4 10,4589,737721  6.9  bar
 
2013 Q1 10,2188,1892,029  19.9  bar
Q2 9,5328,2781,254  13.2  bar
Q3 11,64410,833811  7.0  bar
Q4 10,4009,715685  6.6  bar
 
2014 Q1 10,3218,3581,963  19.0  bar
Q2 9,7678,5021,265  13.0  bar
Q3 11,77511,082693  5.9  bar
Q4 10,5369,978558  5.3  bar
 
2015 Q1 10,4538,6321,821  17.4  bar
Q2 10,0138,9291,084  10.8  bar
Q3 11,81611,247569  4.8  bar
Q4 10,58210,138444  4.2  bar
 
2016 Q1 10,4668,7761,690  16.1  bar
Q2 10,2819,0481,233  12.0  bar
Q3 11,73111,147584  5.0  bar
Q4 10,64710,158489  4.6  bar
 
2017 Q1 10,6908,7071,983  18.6  bar
Q2 10,2268,9611,265  12.4  bar
Q3 11,72211,137585  5.0  bar
Q4 10,66610,202464  4.4  bar
 
2018 Q1 10,4938,6031,890  18.0  bar
Q2 10,1748,9061,268  12.5  bar
Q3 11,76711,282485  4.1  bar
Q4 10,46610,086380  3.6  bar
 
2019 Q1 10,4308,6121,818  17.4  bar
Q2 9,9328,7531,179  11.9  bar
Q3 11,46210,974488  4.3  bar
Q4 10,34210,035307  3.0  bar
 
2020 Q1 10,9049,3041,600  14.7  bar
Q2 10,3006,5833,717  36.1  bar
Q3 12,36011,0251,335  10.8  bar
Q4 11,08610,491595  5.4  bar
 
2021 Q1 10,0568,6231,433  14.3  bar
Q2 10,6109,4341,176  11.1  bar
Q3 11,95611,445511  4.3  bar
Q4 10,99510,593402  3.7  bar
 
2022 Q1 10,5449,1861,358  12.9  bar
Q2 10,8469,6941,152  10.6  bar
Q3 12,40711,887520  4.2  bar
Q4 11,38310,884499  4.4  bar
 
2023 Q1 10,5209,0891,431  13.6  bar
Q2 10,7569,762994  9.2  bar
Q3 12,54111,992549  4.4  bar
Q4 11,35310,864489  4.3  bar
 
2024 Q1 10,6199,2821,337  12.6  bar
Q2 10,9699,8081,161  10.6  bar
Q3 12,84012,174666  5.2  bar
Q4 11,48410,905579  5.0  bar
 


Sources: STI: Colossus

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