{"id":297,"date":"2019-05-01T11:44:52","date_gmt":"2019-05-01T18:44:52","guid":{"rendered":"https:\/\/southernoregonbusiness.scarabmedia.com\/?p=297"},"modified":"2019-07-11T14:55:12","modified_gmt":"2019-07-11T21:55:12","slug":"brews-brains-and-lumber-occupations-clustered-in-lane-county","status":"publish","type":"post","link":"https:\/\/southernoregonbusiness.com\/brews-brains-and-lumber-occupations-clustered-in-lane-county\/","title":{"rendered":"Brews, Brains, and Lumber: Occupations Clustered in Lane County"},"content":{"rendered":"\n

by Henry Fields <\/a><\/p>\n\n\n\n

Sometimes to understand an economy you need to look at the things that make a place unique. <\/p>\n\n\n\n

Location quotients (LQ) are a tool that help analysts do just that. LQs compare local employment in one industry or occupation with the nation as a whole. <\/p>\n\n\n\n

It\u2019s basically like looking at the whole U.S. economy as a pizza. The toppings scattered unevenly across the pizza represent different kinds of jobs. A location quotient takes out one particular slice and compares the toppings you find locally to their national frequency. <\/p>\n\n\n\n

The resulting number shows concentration \u2013 how much more or less of the \u201ctopping\u201d we find locally than if that slice were a replica of the whole pie. <\/p>\n\n\n\n

If you slice Oregon out of the national pizza, for example, you\u2019re going to find a lot more forestry jobs among the toppings here than in the nation (LQ 7.9), and a lot less in petroleum and coal manufacturing (LQ 0.4). <\/p>\n\n\n\n

An LQ of 7.9 means Oregon had nearly eight times as much employment in forestry and logging as you would expect in a slice our size, while 0.4 means we had 40 percent of petroleum and coal manufacturing employment relative to the whole pie. (Okay, I\u2019ll drop the unappetizing metaphor.) <\/p>\n\n\n\n

Since the formula is a simple ratio, LQs are flexible enough to apply to any geography, job, or sector for which you can find data. <\/p>\n\n\n\n

For example, the graph below looks at the occupations with the highest location quotients in Lane County. <\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

The role of forestry, logging, and wood products is evident. Logging equipment operators, saw sharpeners, woodworking machine operators, foresters, and conservation technicians were some of our most concentrated occupations. <\/p>\n\n\n\n

It\u2019s not surprising to find timber-related jobs that are 10 times more prevalent here than the nation, given the history of wood products and the world class natural resources in our region. <\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Also unsurprising are concentrated jobs in education and health care. Social science research assistants may work at U of O or related research institutions. Interviewers are often employed in health care settings, in university research, or in business support, all local strengths. Psychiatric aides, who might be employed in private facilities or the Junction City campus of the Oregon State Hospital, also make the list. <\/p>\n\n\n\n

We live the good life in Lane County, and that\u2019s obvious from our concentrated occupations, too. <\/p>\n\n\n\n

I was intrigued to find that musicians and music directors are quite prominent here, which is exciting for an area that prides itself on art and culture. <\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

There are more than three times as many filtering, clarifying and still machine operators \u2013 which humans would call brewers \u2013 as expected, confirming we punch above our weight when it comes to beer. <\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Although most of these occupations aren\u2019t very large, LQs still allow us to point to the local jobs that are relatively unique. <\/p>\n\n\n\n

If your passion is forestry, woodworking, education, health, music or beer, it\u2019s safe to say you\u2019re not alone in Lane County. <\/strong><\/p>\n\n\n\n

Henry Fields <\/strong>
Workforce Analyst Lane County
henry.l.fields@oregon.gov
1401 Willamette Street Eugene, OR 97401 <\/p>\n","protected":false},"excerpt":{"rendered":"

by Henry Fields Sometimes to understand an economy you need to look at the things that make a place unique. Location quotients (LQ) are a tool that help analysts do just that. LQs compare local employment in one industry or occupation with the nation as a whole. 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