Workforce Development Area Directory

WDA 10 - South Central

Columbia, Dane, Dodge, Jefferson, Marquette, and Sauk Counties

Board Web Directory:

Workforce Development Board of South Central Wisconsin, Inc.

Labor Market Economist:

Tom Pethan

email or call (608) 267-6860

Tom Pethan is a Research Analyst in the Office of Economic Advisors. He is the South Central WDA Regional Economist and is a senior contributor for the research unit. Pethan graduated with a BS in Economics from the University of Wisconsin-Madison and an MA in Economic Development from Vanderbilt University. He lives in Madison, WI with his wife Laura and two kids, Will and Audrey.

Description

The South Central region is composed of six counties; Columbia, Dane, Dodge, Jefferson, Marquette, and Sauk.

Marquette County is the farthest north. From east to west, Sauk, Columbia and Dodge Counties form the middle row. Dane and Jefferson Counties sit on the bottom of the region. Together, these six counties cover roughly 4,700 square miles, or about 8.7% of the state's total land surface. Between the 2000 census and the 2005 population estimate, the region's population grew from 710,438 to 755,577 or 6.4 percent, reflecting faster growth than the statewide rate of 4.0 percent. In 2005, the region accounted for 13.5 percent of the the state's population; between 2000 and 2005 the region accounted for roughly 20.8 percent of the state's population growth. While Dane and Jefferson counties enjoyed relatively strong natural growth (births minus deaths), Columbia, Dodge and Sauk relied more heavily on net migration (people moving in minus people moving out) to fuel their population growth. Because Marquette County experienced more deaths than births, its population growth relied entirely on net migration.

While similarities bind certain to each other, contrasts between certain counties can be striking. Heavy manufacturing and sharper business cycles characterize Dodge and Jefferson counties, while lighter manufacturing, (particularly plastics), and tourism are found in Sauk and Columbia counties. Marquette and Dane Counties sit at opposite ends of the region geographically and on opposite ends of many measures. Dane County boasts high wages, low unemployment, a flagship university and a mild business cycle. Compared to its neighbors, it attracts more students and young workers who rent rather than buying residential real estate.

According to the 2000 Census, less than 6 percent of Dane County's working residents worked in another county. The other South Central counties tend to send 40 to 50 percent of working residents outside their respective borders for work. Sauk County, sending just 21 percent of its working residents to other counties for work, is the exception. Many workers commute to Dane County's high-wage jobs and live (or retire) in more mature communities like Marquette or Columbia Counties where their housing dollars go further. Dane County is the regional hub: in 2004 69.8 percent of the region's jobs and 74.9 percent of the region's total payroll.

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image: WDA 11 Map of Counties

Regional Information

County Profiles

Occupational & Industry Employment Downloads

File Name File Type File Size Description
Long Term: 2014-2024 Occupational Projections - WDA Excel 1,136 KB Regional Occupational Employment Projections
Long Term: 2014-2024 Industry Employment Projections - WDA Excel 48.8 KB Regional Industry Employment Projections

State Information

Occupational & Industry Employment Downloads

File Name File Type File Size Description
Short Term: 2017-2019 Industry Employment Projections - Statewide Excel 38 KB Statewide Industry Employment Projections
Long Term: 2016-2026 Industry Employment Projections - Statewide Excel 41 KB Statewide Industry Employment Projections
Short Term: 2017-2019 Occupational Projections - Statewide Excel 135 KB Statewide Occupational Employment Projections
Long Term: 2016-2026 Occupational Projections - Statewide Excel 141 KB Statewide Occupational Employment Projections
The information on this site is updated regularly. The same search run at another time may produce different results.

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