The California Employment Development Department earlier this month reported that the state added 47,400 jobs in November. According to a new study by the University of Redlands Institute for Spatial Economic Analysis (ISEA), jobs across the state grew by 288300, or 1.7%, since last November.
Education and Health Services drives job growth in past year
The largest job gains across California were in Education and Health Services, with 88100 jobs added in the past year. Job gains in this industry were highest in Los Angeles County (+26300 jobs), Alameda and Contra Costa Counties (+7400 jobs), and San Benito and Santa Clara Counties (+7300 jobs).
The largest job losses were in Manufacturing (-3800 jobs statewide). Job losses in this industry were highest in Orange County (-5100 jobs), Los Angeles County (-3500 jobs), and El Dorado Placer Sacramento and Yolo Counties (-1400 jobs).
Jobs grew fastest in zip codes with 500-999 people per square mile
ISEA breaks down employment by zip code. The map above shows employment levels (represented by circle width) and annual change in employment (represented by circle color). Large circles represent a large number of workers, and green circles indicate fast growing zip codes.
Overall, areas with 500-999 people per square mile grew faster than other areas at 1.8% over the year. This is followed by areas with less than 200 people per square mile (1.7% annual growth). Areas with 200-499 people per square mile grew the third fastest at 1.5%). Areas with 1000 or more people per square mile grew the slowest at 1.4%.
Alpine County grew fastest
The fastest growing counties were Alpine County (growing at 6.1% over the year), Calaveras County (3.5%), and Riverside and San Bernardino Counties (3.2%). Zip codes in these counties can be identified on the map due to their large green circles. Slowest growing were Del Norte County (-1.4%), Inyo County (-0.1%), and Nevada County (0.3%). Zip codes in these counties can be spotted due to their large red or yellow circles.
The video below illustrates employment growth across California. For additional videos, head to the ISEA YouTube channel.
The pattern of regional job growth can be seen in the ISEA employment animation for California on the ISEA YouTube channel at https://www.youtube.com/user/ISEAatRedlands.
Detailed reports by zip-codes and small regional areas can be generated with the ISEA Data Explorer. Could you give us some feedback to improve this tool? If yes, please go to https://www.surveymonkey.com/r/ISEASurvey and fill out our 5 minute survey. Thank you very much in advance!
The researchers combined today’s data release on employment by industry from the California Employment Development Department with business pattern data by zip code and industry from the U.S. Census Bureau to arrive at their projected values. State employment are seasonally adjusted, while county and zip code employment are not. The researchers point out that, given the data available to them, their projected values are only rough approximations of the true values, and that accuracy is higher for counties with larger populations. Despite those shortcomings, the observed patterns should still be helpful for decision makers in politics, businesses and organizations to determine where to best direct their efforts.
About the University of Redlands Institute for Spatial Economic Analysis (ISEA)
The Institute for Spatial Economic Analysis (ISEA) serves regional, national and global business and government leaders in their needs to better understand how socio-economic phenomena affect their communities. A division of the University of Redlands School of Business, ISEA publishes ongoing, timely reports covering retail, employment, housing, logistics and other special topics. A key distinction of the Institute is its ability to illustrate economic trends and patterns through the use of geo-spatial mapping techniques. In addition, ISEA’s ability to provide Zip code level analysis for many of its reports provides unprecedented detail. Current ISEA economic data and interactive maps may be found at http://www.iseapublish.com/map
Author: Jess Chen, Ph.D., Jess_Chen@redlands.edu
Faculty Fellow at the Institute for Spatial Economic Analysis,
University of Redlands, School of Business
Contact: Johannes Moenius, Ph.D., email@example.com
Director, Institute for Spatial Economic Analysis,
University of Redlands, School of Business