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This analysis explores the commuting dynamics in Middle Georgia in 2008, highlighting how counties rely on neighboring regions for employment and earnings. The inflow and outflow of commuters showcase the dependency on the quality of jobs available elsewhere. Utilizing the OnTheMap application, the data reveals employment locations and commuting trends, indicating how well individual counties attract jobs and workers. Understanding these patterns is crucial for regional economic development and addressing challenges linked to commuting.
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Commuting & Jobs • The inflow of commuters indicates the reliance of a county’s businesses on the quality & quantity of the labor force in other counties. • The outflow of commuters indicates the reliance of a county’s residents on the quality & quantity of jobs in other counties • Counties with a lot of good jobs will attract workers living in other counties • The better the jobs, the more a long commute makes sense • Better jobs may attract new residents escaping long commutes • Commuting enhances the regional diversity of jobs available & labor supply
On the Map Data • OnTheMap is an internet application that shows where workers are employed and where they live • The employment data come from Unemployment Insurance Wage Records reported by employers. • The states assign employer locations, while workers' residence locations are assigned by the Census Bureau using data from multiple federal agencies. • Counts workers (called “primary jobs”), not jobs • Geographies are adjustable
The data does not cover • Self employed (about 7% Nationally) • Federal government employees (about 2% Nationally) • The military (about 0.5% Nationally) • Some nonprofit employees • Workers covered by RR unemployment insurance • Wage and salary agricultural employees • Domestic workers • Unpaid family workers
Implications • The Self employed are more likely to live & work in the same county, so • People who live & work in the same county are likely to be undercounted • Federal government civilian & military employment is a major factor in Houston County’s employment at 20,938, so • Employment counts for counties whose residents work at RAFB are incomplete
Monroe County OnTheMap Employment Locations of Residents
Have you ever wondered? • How much a county depends on its neighbors for earnings? • Or loses due to outside commuters? • Who wins, loses or breaks even? • Commuter earnings data from the BEA makes every attempt to be comprehensive in counting commuters & their earnings
What are Earnings? • Earnings are wages & salaries, supplements to wages & salaries, & proprietors’ income • Supplements include employer contributions for employee pension and insurance funds employer payments to private & government employee retirement plans, private group health, life, workers' comp & unemployment benefit plans.
Neighbor Dependence?
Earnings Drain?
Commuter Profit or Loss?
Some Conclusions • Every county has its own unique commuter profile • Profile variables include job availability, job type, proximity to outside opportunities, industry developments, etc. • Bibb, Houston & Baldwin have been job & income sources for other counties • Our other counties have been labor supply sources • In $ terms, Jones & Monroe especially • In terms of % of resident earnings, Twiggs & Crawford also • Jones leads in the share of its earnings it gets from other counties • For Twiggs outflow of earnings declined radically as place of work earnings dropped 48%; residents responded by finding jobs in other counties & their income went up over 7%. • Wilkinson has broken even on earnings flow, but leads in the share of county-generated earnings leaving the county followed by Peach & Crawford, 2 counties with the highest & lowest share of wage & salary employment