#  Too Far From Jobs: Spatial Mismatch and Hourly Workers 

 



   ![Spatial mismatch with jobs in SF](/sites/g/files/omnuum10826/files/styles/hwp_1_1__720x720_scale/public/datasmart/files/sf_mismatch_feature.png?itok=ot1OB0Yy) 

 

In expensive cities, employers often have a hard time finding people to fill things like service jobs, as low-wage workers move further away from expensive city centers. This phenomenon is known to economists as “spatial mismatch.” In February 2019, researchers at the Urban Institute used data from online job marketplace Snag to analyze the distance between hourly job seekers with high school diplomas in low-wage industries and the jobs they applied for in 2017. When Snag employers have a significant shortage of job seekers “within a reasonable distance of their jobs” those areas are highlighted in dark pink. Very few areas had an oversupply of job seekers and an undersupply of job postings; those areas are highlighted in gold.



 

##  Stats 

Dataset(s): Snag A Job site

Visualization: Map

Jurisdicton: United States

Developed by: The Urban Institute



 

 



 [ Project link arrow\_circle\_right ](https://www.urban.org/features/too-far-jobs-spatial-mismatch-and-hourly-workers) 

 

 

 

 

  [### Map Monday: The Growing Spatial Gap Between Low-Wage, Hourly Job Seekers and Employers

 ](/news/article/map-monday-growing-spatial-gap-between-low-wage-hourly-job-seekers-and-employers) August 05, 2019 

 August 5, 2019 Data Visualization Map: Too Far From Jobs: Spatial Mismatch and Hourly Workers Geographic Area: United States Year Published: 2019 Datasets: Snag America’s cities used to be places where anyone could move to, boost their wages, and live a... 

 

 

   ![Map of Bay Area showing the mismatch between available jobs and housing](/sites/g/files/omnuum10826/files/styles/hwp_16_9__480x270/public/datasmart/files/sf_mismatch.png?itok=YRdBkydj)