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Burlington 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 203,357193,4909,867  4.9  bar
Q2 203,913196,0637,850  3.8  bar
Q3 209,687199,8069,881  4.7  bar
Q4 209,489199,48210,007  4.8  bar
 
1991 Q1 209,377196,20813,169  6.3  bar
Q2 210,451198,80111,650  5.5  bar
Q3 211,733198,20813,525  6.4  bar
Q4 211,012197,89313,119  6.2  bar
 
1992 Q1 207,218191,72515,493  7.5  bar
Q2 208,699193,65615,043  7.2  bar
Q3 211,358193,04018,318  8.7  bar
Q4 207,405191,20316,202  7.8  bar
 
1993 Q1 204,668188,42616,242  7.9  bar
Q2 202,898189,56013,338  6.6  bar
Q3 204,233191,04713,186  6.5  bar
Q4 204,381193,60110,780  5.3  bar
 
1994 Q1 205,746192,84812,898  6.3  bar
Q2 205,042194,21210,830  5.3  bar
Q3 206,991195,03011,961  5.8  bar
Q4 208,069198,01510,054  4.8  bar
 
1995 Q1 210,258199,01211,246  5.3  bar
Q2 212,117202,1639,954  4.7  bar
Q3 214,512202,74411,768  5.5  bar
Q4 213,890203,9869,904  4.6  bar
 
1996 Q1 215,780204,02111,759  5.4  bar
Q2 219,401209,26210,139  4.6  bar
Q3 222,571211,34811,223  5.0  bar
Q4 222,073212,9309,143  4.1  bar
 
1997 Q1 224,604213,37311,231  5.0  bar
Q2 225,293217,0228,271  3.7  bar
Q3 226,987216,84510,142  4.5  bar
Q4 224,503217,1047,399  3.3  bar
 
1998 Q1 225,501216,1149,387  4.2  bar
Q2 224,950217,4697,481  3.3  bar
Q3 228,117219,6728,445  3.7  bar
Q4 227,268220,7606,508  2.9  bar
 
1999 Q1 227,664219,9487,716  3.4  bar
Q2 228,983221,7897,194  3.1  bar
Q3 231,000221,4819,519  4.1  bar
Q4 227,522221,1686,354  2.8  bar
 
2000 Q1 221,426213,5627,864  3.6  bar
Q2 221,827215,8565,971  2.7  bar
Q3 222,401214,4187,983  3.6  bar
Q4 219,811213,5956,216  2.8  bar
 
2001 Q1 221,358213,5937,765  3.5  bar
Q2 220,334214,0986,236  2.8  bar
Q3 222,858214,5278,331  3.7  bar
Q4 223,578215,4938,085  3.6  bar
 
2002 Q1 226,705215,86110,844  4.8  bar
Q2 227,937217,57710,360  4.5  bar
Q3 230,393218,21512,178  5.3  bar
Q4 229,343218,82110,522  4.6  bar
 
2003 Q1 229,811217,68212,129  5.3  bar
Q2 231,267220,72110,546  4.6  bar
Q3 232,947220,47912,468  5.4  bar
Q4 231,586221,36910,217  4.4  bar
 
2004 Q1 233,022221,50811,514  4.9  bar
Q2 234,981225,0039,978  4.2  bar
Q3 237,816226,65011,166  4.7  bar
Q4 235,911227,5678,344  3.5  bar
 
2005 Q1 234,498225,3679,131  3.9  bar
Q2 236,975228,9468,029  3.4  bar
Q3 242,047231,83110,216  4.2  bar
Q4 241,052232,5188,534  3.5  bar
 
2006 Q1 239,034228,49810,536  4.4  bar
Q2 241,490231,5529,938  4.1  bar
Q3 243,912231,94311,969  4.9  bar
Q4 240,725232,5088,217  3.4  bar
 
2007 Q1 238,332228,6299,703  4.1  bar
Q2 237,388229,0048,384  3.5  bar
Q3 240,482230,23710,245  4.3  bar
Q4 238,577230,2238,354  3.5  bar
 
2008 Q1 238,706227,72610,980  4.6  bar
Q2 238,981229,6119,370  3.9  bar
Q3 242,107229,07813,029  5.4  bar
Q4 242,128229,31112,817  5.3  bar
 
2009 Q1 240,987224,00816,979  7.0  bar
Q2 242,974225,28017,694  7.3  bar
Q3 247,440225,51621,924  8.9  bar
Q4 243,040221,39021,650  8.9  bar
 
2010 Q1 239,420216,01023,410  9.8  bar
Q2 239,886218,11921,767  9.1  bar
Q3 239,591216,62422,967  9.6  bar
Q4 236,223216,11120,112  8.5  bar
 
2011 Q1 236,043214,36021,683  9.2  bar
Q2 237,402217,65119,751  8.3  bar
Q3 238,605216,28122,324  9.4  bar
Q4 237,550217,49820,052  8.4  bar
 
2012 Q1 235,930214,87121,059  8.9  bar
Q2 236,930216,78120,149  8.5  bar
Q3 239,107215,99423,113  9.7  bar
Q4 239,405219,14920,256  8.5  bar
 
2013 Q1 236,705215,41421,291  9.0  bar
Q2 236,571218,31218,259  7.7  bar
Q3 235,404215,45919,945  8.5  bar
Q4 231,832214,89916,933  7.3  bar
 
2014 Q1 229,127212,99516,132  7.0  bar
Q2 231,275217,89413,381  5.8  bar
Q3 232,868216,15016,718  7.2  bar
Q4 234,416220,75413,662  5.8  bar
 
2015 Q1 229,093214,60714,486  6.3  bar
Q2 230,228218,11912,109  5.3  bar
Q3 230,354216,76213,592  5.9  bar
Q4 229,626219,30010,326  4.5  bar
 
2016 Q1 228,952218,24910,703  4.7  bar
Q2 230,458220,4929,966  4.3  bar
Q3 231,717219,97911,738  5.1  bar
Q4 231,087221,5519,536  4.1  bar
 
2017 Q1 230,319220,30710,012  4.3  bar
Q2 231,048222,8548,194  3.5  bar
Q3 231,208220,75110,457  4.5  bar
Q4 230,370221,7018,669  3.8  bar
 
2018 Q1 228,663218,8709,793  4.3  bar
Q2 227,363219,5137,850  3.5  bar
Q3 229,131219,6179,514  4.2  bar
Q4 228,362221,3916,971  3.1  bar
 
2019 Q1 229,034220,3238,711  3.8  bar
Q2 229,583223,5945,989  2.6  bar
Q3 233,268224,9638,305  3.6  bar
Q4 234,857227,8656,992  3.0  bar
 
2020 Q1 236,203226,8709,333  4.0  bar
Q2 223,575195,66627,909  12.5  bar
Q3 237,181206,39330,788  13.0  bar
Q4 232,019219,23012,789  5.5  bar
 
2021 Q1 232,902217,45715,445  6.6  bar
Q2 234,584220,89213,692  5.8  bar
Q3 237,198221,75315,445  6.5  bar
Q4 234,995223,53911,456  4.9  bar
 
2022 Q1 236,143224,11912,024  5.1  bar
Q2 239,286231,1108,176  3.4  bar
Q3 241,561232,8108,751  3.6  bar
Q4 242,862235,4627,400  3.0  bar
 
2023 Q1 244,541235,0509,491  3.9  bar
Q2 245,607237,4398,168  3.3  bar
Q3 246,755235,76210,993  4.5  bar
Q4 247,504237,8649,640  3.9  bar
 
2024 Q1 246,158235,69910,459  4.2  bar
Q2 248,061238,9939,068  3.7  bar
Q3 249,035236,52712,508  5.0  bar
Q4 248,655238,8609,795  3.9  bar
 


Sources: STI: PopStats and STI: Colossus