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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 218,959195,34923,610  10.8  bar
Q2 225,779203,83921,940  9.7  bar
Q3 234,176212,69821,478  9.2  bar
Q4 227,905205,78622,119  9.7  bar
 
1991 Q1 225,251194,36530,886  13.7  bar
Q2 228,590200,54728,043  12.3  bar
Q3 236,203207,89228,311  12.0  bar
Q4 232,348207,84224,506  10.5  bar
 
1992 Q1 231,941195,90436,037  15.5  bar
Q2 235,321201,77633,545  14.3  bar
Q3 247,386214,83932,547  13.2  bar
Q4 241,029207,73133,298  13.8  bar
 
1993 Q1 236,768197,86038,908  16.4  bar
Q2 237,983202,91535,068  14.7  bar
Q3 247,461214,47632,985  13.3  bar
Q4 243,079211,07432,005  13.2  bar
 
1994 Q1 238,572201,02337,549  15.7  bar
Q2 238,522206,04732,475  13.6  bar
Q3 244,620215,55329,067  11.9  bar
Q4 239,235212,05627,179  11.4  bar
 
1995 Q1 236,498203,43733,061  14.0  bar
Q2 241,118208,79032,328  13.4  bar
Q3 242,376211,92430,452  12.6  bar
Q4 240,601214,93525,666  10.7  bar
 
1996 Q1 235,095201,37633,719  14.3  bar
Q2 238,863209,59129,272  12.3  bar
Q3 242,756216,34226,414  10.9  bar
Q4 243,051219,35023,701  9.8  bar
 
1997 Q1 238,719206,66332,056  13.4  bar
Q2 241,595214,36527,230  11.3  bar
Q3 247,698222,82924,869  10.0  bar
Q4 244,546221,13223,414  9.6  bar
 
1998 Q1 242,598211,29831,300  12.9  bar
Q2 243,795217,63226,163  10.7  bar
Q3 248,107221,24226,865  10.8  bar
Q4 250,201227,52822,673  9.1  bar
 
1999 Q1 245,709217,50728,202  11.5  bar
Q2 248,124224,72923,395  9.4  bar
Q3 251,993229,21722,776  9.0  bar
Q4 251,758233,81117,947  7.1  bar
 
2000 Q1 251,098231,10319,995  8.0  bar
Q2 257,263239,37317,890  7.0  bar
Q3 262,526245,00517,521  6.7  bar
Q4 261,568246,15015,418  5.9  bar
 
2001 Q1 261,005239,36621,639  8.3  bar
Q2 263,827244,85718,970  7.2  bar
Q3 267,615248,81918,796  7.0  bar
Q4 269,017249,83719,180  7.1  bar
 
2002 Q1 269,563242,14327,420  10.2  bar
Q2 270,668245,72624,942  9.2  bar
Q3 274,887250,79724,090  8.8  bar
Q4 277,593255,57922,014  7.9  bar
 
2003 Q1 275,071245,85029,221  10.6  bar
Q2 277,819251,69226,127  9.4  bar
Q3 278,910252,60026,310  9.4  bar
Q4 280,112256,66523,447  8.4  bar
 
2004 Q1 279,678250,78928,889  10.3  bar
Q2 281,451256,47824,973  8.9  bar
Q3 285,059260,23424,825  8.7  bar
Q4 282,813260,91821,895  7.7  bar
 
2005 Q1 280,353254,02126,332  9.4  bar
Q2 282,710260,02222,688  8.0  bar
Q3 286,642264,31622,326  7.8  bar
Q4 287,445267,50819,937  6.9  bar
 
2006 Q1 281,088257,93523,153  8.2  bar
Q2 281,015258,59722,418  8.0  bar
Q3 288,731266,86821,863  7.6  bar
Q4 288,486270,12018,366  6.4  bar
 
2007 Q1 287,733263,08324,650  8.6  bar
Q2 287,141264,47822,663  7.9  bar
Q3 290,800266,82123,979  8.2  bar
Q4 293,708271,12322,585  7.7  bar
 
2008 Q1 292,145262,71629,429  10.1  bar
Q2 289,143261,83027,313  9.4  bar
Q3 292,968262,23430,734  10.5  bar
Q4 298,590266,17332,417  10.9  bar
 
2009 Q1 299,173254,68144,492  14.9  bar
Q2 298,028252,70545,323  15.2  bar
Q3 299,753252,57047,183  15.7  bar
Q4 302,852256,09246,760  15.4  bar
 
2010 Q1 312,462257,93554,527  17.5  bar
Q2 309,545256,97352,572  17.0  bar
Q3 310,526258,23552,291  16.8  bar
Q4 310,159261,02349,136  15.8  bar
 
2011 Q1 307,058251,55455,504  18.1  bar
Q2 305,102254,74150,361  16.5  bar
Q3 309,907258,73851,169  16.5  bar
Q4 313,261266,15247,109  15.0  bar
 
2012 Q1 308,349258,13950,210  16.3  bar
Q2 306,077260,63045,447  14.8  bar
Q3 309,669263,68545,984  14.8  bar
Q4 314,787274,23640,551  12.9  bar
 
2013 Q1 310,313264,45045,863  14.8  bar
Q2 309,268270,47638,792  12.5  bar
Q3 314,705275,75338,952  12.4  bar
Q4 312,179276,36135,818  11.5  bar
 
2014 Q1 309,933271,09038,843  12.5  bar
Q2 308,981275,40133,580  10.9  bar
Q3 312,991279,49933,492  10.7  bar
Q4 313,557284,22329,334  9.4  bar
 
2015 Q1 311,214278,26032,954  10.6  bar
Q2 312,342284,00828,334  9.1  bar
Q3 315,428287,19828,230  8.9  bar
Q4 315,035289,81225,223  8.0  bar
 
2016 Q1 314,634285,53729,097  9.2  bar
Q2 314,842288,56926,273  8.3  bar
Q3 318,370292,39225,978  8.2  bar
Q4 321,000297,12123,879  7.4  bar
 
2017 Q1 319,821292,08727,734  8.7  bar
Q2 321,287298,01023,277  7.2  bar
Q3 324,114301,20322,911  7.1  bar
Q4 322,637303,55919,078  5.9  bar
 
2018 Q1 321,660298,34923,311  7.2  bar
Q2 321,176301,42019,756  6.2  bar
Q3 324,460304,46619,994  6.2  bar
Q4 325,216307,83017,386  5.3  bar
 
2019 Q1 326,660302,95223,708  7.3  bar
Q2 322,151303,26618,885  5.9  bar
Q3 326,029305,78720,242  6.2  bar
Q4 328,403310,88317,520  5.3  bar
 
2020 Q1 345,024322,58222,442  6.5  bar
Q2 343,333283,31860,015  17.5  bar
Q3 347,218300,84446,374  13.4  bar
Q4 348,021314,66733,354  9.6  bar
 
2021 Q1 346,913311,77935,134  10.1  bar
Q2 345,077312,74632,331  9.4  bar
Q3 349,251318,54330,708  8.8  bar
Q4 351,247327,37023,877  6.8  bar
 
2022 Q1 354,627330,47524,152  6.8  bar
Q2 353,076335,82217,254  4.9  bar
Q3 356,821339,35517,466  4.9  bar
Q4 357,602340,23317,369  4.9  bar
 
2023 Q1 357,059334,91922,140  6.2  bar
Q2 357,928338,33019,598  5.5  bar
Q3 362,150340,60021,550  6.0  bar
Q4 366,660344,41822,242  6.1  bar
 
2024 Q1 365,093339,91925,174  6.9  bar
Q2 362,732340,45622,276  6.1  bar
Q3 369,098343,49725,601  6.9  bar
Q4 371,233348,14323,090  6.2  bar
 


Sources: STI: Colossus

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