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Lake and Peninsula Borough – 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 43439638  8.8  bar
Q2 48042357  11.9  bar
Q3 50248616  3.2  bar
Q4 40539114  3.5  bar
 
1991 Q1 46444222  4.7  bar
Q2 53748849  9.1  bar
Q3 57254230  5.2  bar
Q4 45641541  9.0  bar
 
1992 Q1 53849840  7.4  bar
Q2 63556669  10.9  bar
Q3 61757344  7.1  bar
Q4 48744938  7.8  bar
 
1993 Q1 54750641  7.5  bar
Q2 54850345  8.2  bar
Q3 57754730  5.2  bar
Q4 47744631  6.5  bar
 
1994 Q1 55151140  7.3  bar
Q2 54450440  7.4  bar
Q3 62659729  4.6  bar
Q4 52149823  4.4  bar
 
1995 Q1 55251141  7.4  bar
Q2 57653343  7.5  bar
Q3 68563649  7.2  bar
Q4 55152328  5.1  bar
 
1996 Q1 54949653  9.7  bar
Q2 60656343  7.1  bar
Q3 66660561  9.2  bar
Q4 54151229  5.4  bar
 
1997 Q1 54451034  6.3  bar
Q2 60955257  9.4  bar
Q3 62359330  4.8  bar
Q4 52950227  5.1  bar
 
1998 Q1 60555352  8.6  bar
Q2 62956762  9.9  bar
Q3 64360043  6.7  bar
Q4 55553025  4.5  bar
 
1999 Q1 61256349  8.0  bar
Q2 59954455  9.2  bar
Q3 65261141  6.3  bar
Q4 58155922  3.8  bar
 
2000 Q1 63058248  7.6  bar
Q2 65359756  8.6  bar
Q3 2,1002,05347  2.2  bar
Q4 88683650  5.6  bar
 
2001 Q1 64858563  9.7  bar
Q2 67961267  9.9  bar
Q3 1,8471,79453  2.9  bar
Q4 90085050  5.6  bar
 
2002 Q1 71063872  10.1  bar
Q2 71664472  10.1  bar
Q3 1,4591,39960  4.1  bar
Q4 82075664  7.8  bar
 
2003 Q1 63455876  12.0  bar
Q2 71562590  12.6  bar
Q3 1,5981,53365  4.1  bar
Q4 90684363  7.0  bar
 
2004 Q1 672569103  15.3  bar
Q2 71161299  13.9  bar
Q3 1,6411,56081  4.9  bar
Q4 80773077  9.5  bar
 
2005 Q1 92882999  10.7  bar
Q2 94385786  9.1  bar
Q3 1,2651,20065  5.1  bar
Q4 1,03697066  6.4  bar
 
2006 Q1 84375687  10.3  bar
Q2 88580976  8.6  bar
Q3 1,3931,33459  4.2  bar
Q4 1,1231,07647  4.2  bar
 
2007 Q1 1,02894583  8.1  bar
Q2 1,00794166  6.6  bar
Q3 1,3821,33349  3.5  bar
Q4 1,1611,10952  4.5  bar
 
2008 Q1 90280498  10.9  bar
Q2 95687185  8.9  bar
Q3 1,5511,48566  4.3  bar
Q4 1,1151,05461  5.5  bar
 
2009 Q1 86476896  11.1  bar
Q2 974865109  11.2  bar
Q3 1,4781,40375  5.1  bar
Q4 1,0981,02771  6.5  bar
 
2010 Q1 499393106  21.2  bar
Q2 54344796  17.7  bar
Q3 88280775  8.5  bar
Q4 56849474  13.0  bar
 
2011 Q1 523406117  22.4  bar
Q2 575463112  19.5  bar
Q3 90282181  9.0  bar
Q4 63155477  12.2  bar
 
2012 Q1 515402113  21.9  bar
Q2 573467106  18.5  bar
Q3 86077783  9.7  bar
Q4 59852177  12.9  bar
 
2013 Q1 543425118  21.7  bar
Q2 567466101  17.8  bar
Q3 85577283  9.7  bar
Q4 61852494  15.2  bar
 
2014 Q1 544427117  21.5  bar
Q2 581471110  18.9  bar
Q3 942834108  11.5  bar
Q4 62353885  13.6  bar
 
2015 Q1 52743889  16.9  bar
Q2 56548382  14.5  bar
Q3 77970475  9.6  bar
Q4 64157071  11.1  bar
 
2016 Q1 53045080  15.1  bar
Q2 59950693  15.5  bar
Q3 79672373  9.2  bar
Q4 65859464  9.7  bar
 
2017 Q1 58750186  14.7  bar
Q2 63255379  12.5  bar
Q3 1,01893781  8.0  bar
Q4 68761176  11.1  bar
 
2018 Q1 63955089  13.9  bar
Q2 67960673  10.8  bar
Q3 1,03195576  7.4  bar
Q4 71765265  9.1  bar
 
2019 Q1 61053575  12.3  bar
Q2 61955267  10.8  bar
Q3 1,00994366  6.5  bar
Q4 68964247  6.8  bar
 
2020 Q1 59252963  10.6  bar
Q2 58150180  13.8  bar
Q3 77768988  11.3  bar
Q4 67462450  7.4  bar
 
2021 Q1 56950960  10.5  bar
Q2 59753265  10.9  bar
Q3 99494252  5.2  bar
Q4 66461747  7.1  bar
 
2022 Q1 58353251  8.7  bar
Q2 59455638  6.4  bar
Q3 85482232  3.7  bar
Q4 71067832  4.5  bar
 
2023 Q1 61056941  6.7  bar
Q2 66162833  5.0  bar
Q3 1,0531,02033  3.1  bar
Q4 71067040  5.6  bar
 
2024 Q1 58054337  6.4  bar
Q2 64160338  5.9  bar
Q3 1,03999544  4.2  bar
Q4 68964544  6.4  bar
 


Sources: STI: Colossus