Unemployment History 2024 for Keya Paha County, NE - ERSys®
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Keya Paha 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 48447410  2.1  bar
Q2 5065006  1.2  bar
Q3 5605573  0.5  bar
Q4 5095009  1.8  bar
 
1991 Q1 48046416  3.3  bar
Q2 5024984  0.8  bar
Q3 5255178  1.5  bar
Q4 5115038  1.6  bar
 
1992 Q1 45743819  4.2  bar
Q2 4954878  1.6  bar
Q3 5245159  1.7  bar
Q4 5165079  1.7  bar
 
1993 Q1 46844622  4.7  bar
Q2 52651214  2.7  bar
Q3 52951217  3.2  bar
Q4 47746017  3.6  bar
 
1994 Q1 50148912  2.4  bar
Q2 55253022  4.0  bar
Q3 51150011  2.2  bar
Q4 5125039  1.8  bar
 
1995 Q1 47645521  4.4  bar
Q2 52649531  5.9  bar
Q3 53351023  4.3  bar
Q4 53650828  5.2  bar
 
1996 Q1 47845325  5.2  bar
Q2 48846424  4.9  bar
Q3 48446816  3.3  bar
Q4 49848216  3.2  bar
 
1997 Q1 45142922  4.9  bar
Q2 45744314  3.1  bar
Q3 50549510  2.0  bar
Q4 4564488  1.8  bar
 
1998 Q1 41740314  3.4  bar
Q2 4514465  1.1  bar
Q3 4924857  1.4  bar
Q4 43442410  2.3  bar
 
1999 Q1 46044416  3.5  bar
Q2 47245517  3.6  bar
Q3 53351914  2.6  bar
Q4 47446311  2.3  bar
 
2000 Q1 46445410  2.2  bar
Q2 49848414  2.8  bar
Q3 51950415  2.9  bar
Q4 49148110  2.0  bar
 
2001 Q1 43441816  3.7  bar
Q2 46045010  2.2  bar
Q3 45544411  2.4  bar
Q4 44543510  2.2  bar
 
2002 Q1 43141714  3.2  bar
Q2 42841315  3.5  bar
Q3 46044713  2.8  bar
Q4 46044416  3.5  bar
 
2003 Q1 42340320  4.7  bar
Q2 46945217  3.6  bar
Q3 47546312  2.5  bar
Q4 48246715  3.1  bar
 
2004 Q1 42441014  3.3  bar
Q2 44843612  2.7  bar
Q3 45844513  2.8  bar
Q4 43942811  2.5  bar
 
2005 Q1 43842513  3.0  bar
Q2 41640214  3.4  bar
Q3 44542520  4.5  bar
Q4 45744611  2.4  bar
 
2006 Q1 43441618  4.1  bar
Q2 42040911  2.6  bar
Q3 45143714  3.1  bar
Q4 43942811  2.5  bar
 
2007 Q1 38336320  5.2  bar
Q2 36435113  3.6  bar
Q3 43341815  3.5  bar
Q4 36335211  3.0  bar
 
2008 Q1 35333419  5.4  bar
Q2 35333419  5.4  bar
Q3 41539619  4.6  bar
Q4 37936316  4.2  bar
 
2009 Q1 37935524  6.3  bar
Q2 41139021  5.1  bar
Q3 41139417  4.1  bar
Q4 38036515  3.9  bar
 
2010 Q1 56854622  3.9  bar
Q2 56954623  4.0  bar
Q3 57355221  3.7  bar
Q4 57555718  3.1  bar
 
2011 Q1 58956920  3.4  bar
Q2 58056416  2.8  bar
Q3 62160219  3.1  bar
Q4 60759116  2.6  bar
 
2012 Q1 58857117  2.9  bar
Q2 59257517  2.9  bar
Q3 64962920  3.1  bar
Q4 60659016  2.6  bar
 
2013 Q1 59357023  3.9  bar
Q2 61559421  3.4  bar
Q3 65163417  2.6  bar
Q4 59557421  3.5  bar
 
2014 Q1 63361221  3.3  bar
Q2 61359617  2.8  bar
Q3 62160516  2.6  bar
Q4 60058713  2.2  bar
 
2015 Q1 68767314  2.0  bar
Q2 65663818  2.7  bar
Q3 66565015  2.3  bar
Q4 63262111  1.7  bar
 
2016 Q1 62961613  2.1  bar
Q2 62360914  2.2  bar
Q3 63261715  2.4  bar
Q4 58557213  2.2  bar
 
2017 Q1 61860315  2.4  bar
Q2 64062515  2.3  bar
Q3 63061218  2.9  bar
Q4 56355112  2.1  bar
 
2018 Q1 60058911  1.8  bar
Q2 60258913  2.2  bar
Q3 61159615  2.5  bar
Q4 57155813  2.3  bar
 
2019 Q1 62060515  2.4  bar
Q2 59157714  2.4  bar
Q3 56554916  2.8  bar
Q4 56455014  2.5  bar
 
2020 Q1 38436915  3.9  bar
Q2 39437618  4.6  bar
Q3 3413329  2.6  bar
Q4 3593527  1.9  bar
 
2021 Q1 3763679  2.4  bar
Q2 39138011  2.8  bar
Q3 36735611  3.0  bar
Q4 35934910  2.8  bar
 
2022 Q1 39038010  2.6  bar
Q2 35134011  3.1  bar
Q3 34733215  4.3  bar
Q4 33332211  3.3  bar
 
2023 Q1 35334112  3.4  bar
Q2 34232814  4.1  bar
Q3 35934811  3.1  bar
Q4 37035614  3.8  bar
 
2024 Q1 37136011  3.0  bar
Q2 36134813  3.6  bar
Q3 36335013  3.6  bar
Q4 35334112  3.4  bar
 


Sources: STI: Colossus