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Robertson 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 96490064  6.6  bar
Q2 94889553  5.6  bar
Q3 89985148  5.3  bar
Q4 90687531  3.4  bar
 
1991 Q1 88983752  5.8  bar
Q2 92484282  8.9  bar
Q3 93884494  10.0  bar
Q4 93388746  4.9  bar
 
1992 Q1 94586778  8.3  bar
Q2 88381370  7.9  bar
Q3 92987752  5.6  bar
Q4 96090555  5.7  bar
 
1993 Q1 97690472  7.4  bar
Q2 90886741  4.5  bar
Q3 94486579  8.4  bar
Q4 93387063  6.8  bar
 
1994 Q1 98790582  8.3  bar
Q2 97292547  4.8  bar
Q3 96193031  3.2  bar
Q4 97294626  2.7  bar
 
1995 Q1 1,01996059  5.8  bar
Q2 1,02297151  5.0  bar
Q3 1,042915127  12.2  bar
Q4 96392835  3.6  bar
 
1996 Q1 1,00894068  6.7  bar
Q2 99294844  4.4  bar
Q3 97992158  5.9  bar
Q4 1,00397231  3.1  bar
 
1997 Q1 97491064  6.6  bar
Q2 97890771  7.3  bar
Q3 96791651  5.3  bar
Q4 95291240  4.2  bar
 
1998 Q1 97892553  5.4  bar
Q2 97895424  2.5  bar
Q3 1,02697254  5.3  bar
Q4 98595728  2.8  bar
 
1999 Q1 1,04598065  6.2  bar
Q2 1,0561,00155  5.2  bar
Q3 1,0611,01645  4.2  bar
Q4 1,01997148  4.7  bar
 
2000 Q1 1,04097466  6.3  bar
Q2 99895642  4.2  bar
Q3 1,1471,10740  3.5  bar
Q4 1,0931,05439  3.6  bar
 
2001 Q1 1,0651,00362  5.8  bar
Q2 1,0771,03146  4.3  bar
Q3 1,1021,05448  4.4  bar
Q4 1,0811,03645  4.2  bar
 
2002 Q1 97590273  7.5  bar
Q2 1,1061,04759  5.3  bar
Q3 1,01496450  4.9  bar
Q4 1,1071,06047  4.2  bar
 
2003 Q1 1,0911,02566  6.0  bar
Q2 1,1351,05382  7.2  bar
Q3 1,1281,06464  5.7  bar
Q4 1,1611,10457  4.9  bar
 
2004 Q1 1,02394875  7.3  bar
Q2 1,1311,07358  5.1  bar
Q3 1,1101,04070  6.3  bar
Q4 1,0951,03560  5.5  bar
 
2005 Q1 1,04395588  8.4  bar
Q2 1,0881,01375  6.9  bar
Q3 1,0771,00176  7.1  bar
Q4 1,03397558  5.6  bar
 
2006 Q1 1,02094773  7.2  bar
Q2 1,01997049  4.8  bar
Q3 1,1141,05262  5.6  bar
Q4 1,03499143  4.2  bar
 
2007 Q1 1,02797156  5.5  bar
Q2 1,04699947  4.5  bar
Q3 1,1081,05553  4.8  bar
Q4 1,0571,01839  3.7  bar
 
2008 Q1 1,00594659  5.9  bar
Q2 97292745  4.6  bar
Q3 98892464  6.5  bar
Q4 1,01695957  5.6  bar
 
2009 Q1 1,024905119  11.6  bar
Q2 1,073966107  10.0  bar
Q3 1,1191,002117  10.5  bar
Q4 1,072971101  9.4  bar
 
2010 Q1 851728123  14.5  bar
Q2 87778097  11.1  bar
Q3 903796107  11.8  bar
Q4 87278092  10.6  bar
 
2011 Q1 833725108  13.0  bar
Q2 84274993  11.0  bar
Q3 874773101  11.6  bar
Q4 88078991  10.3  bar
 
2012 Q1 832729103  12.4  bar
Q2 84275686  10.2  bar
Q3 85676789  10.4  bar
Q4 86078377  9.0  bar
 
2013 Q1 846745101  11.9  bar
Q2 84976287  10.2  bar
Q3 855754101  11.8  bar
Q4 83674888  10.5  bar
 
2014 Q1 83275082  9.9  bar
Q2 80474163  7.8  bar
Q3 79572867  8.4  bar
Q4 80775651  6.3  bar
 
2015 Q1 78272953  6.8  bar
Q2 78073644  5.6  bar
Q3 75069555  7.3  bar
Q4 77573045  5.8  bar
 
2016 Q1 80975455  6.8  bar
Q2 80576144  5.5  bar
Q3 77772750  6.4  bar
Q4 80876147  5.8  bar
 
2017 Q1 82076159  7.2  bar
Q2 83879048  5.7  bar
Q3 80275052  6.5  bar
Q4 80876939  4.8  bar
 
2018 Q1 81977148  5.9  bar
Q2 78274834  4.3  bar
Q3 79175536  4.6  bar
Q4 79776235  4.4  bar
 
2019 Q1 81075654  6.7  bar
Q2 79675739  4.9  bar
Q3 81777146  5.6  bar
Q4 81477836  4.4  bar
 
2020 Q1 80876345  5.6  bar
Q2 813707106  13.0  bar
Q3 76872741  5.3  bar
Q4 78175229  3.7  bar
 
2021 Q1 77873939  5.0  bar
Q2 79877127  3.4  bar
Q3 81277537  4.6  bar
Q4 82479331  3.8  bar
 
2022 Q1 83478153  6.4  bar
Q2 84480638  4.5  bar
Q3 85280250  5.9  bar
Q4 83579639  4.7  bar
 
2023 Q1 81476945  5.5  bar
Q2 82578243  5.2  bar
Q3 81076446  5.7  bar
Q4 84880246  5.4  bar
 
2024 Q1 85679858  6.8  bar
Q2 88383053  6.0  bar
Q3 84878761  7.2  bar
Q4 84779453  6.3  bar
 


Sources: STI: PopStats and STI: Colossus