Showing posts with label Cache County. Show all posts
Showing posts with label Cache County. Show all posts

Wednesday, June 3, 2020

Unemployment Insurance Claims Data Shed Light on the Local Economic Impacts of the COVID-19 Pandemic


By Lecia Parks Langston, Senior Economist; Michael Jeanfreau, Regional Economist


“You have power over your mind — not outside events. Realize this, and you will find strength.” Marcus Aurelius


In the wake of the COVID-19 pandemic, businesses lost revenues and workers lost jobs. But because of the time it takes to collect and collate data, economists have been left without much information to quantify the economic impacts at the local level.

But there is one ray of data illumination. Claims for unemployment benefits are promptly available and provide information about a large cross section of the economy. This post will outline what light unemployment claims data sheds on the state of Utah’s Bear River economy.

While not all workers are protected by unemployment insurance laws, roughly 95% of jobs are covered. This makes claims data an exceptional source of information about the economy. Not included under unemployment insurance laws are most self-employed workers, about half of agricultural employment, unpaid family workers, railroad personnel (covered separately) and many nonprofit organizations (such as churches). Also, some out-of-work employees may not have worked a sufficient work history to qualify for unemployment insurance benefits, but may file anyway. Fortunately, in this time of economic distress, the social safety nets of the unemployment insurance program, special national COVID-19 funding and social programs are working together to keep workers’ income and well-being stable.

Unemployment claimants and the unemployed; they aren’t the same

Also, keep in mind that, in addition to individuals drawing unemployment benefits, the unemployment rate includes those entering and re-entering the workforce and noncovered groups without current employment. This means the number of “unemployed” will be greater than the number of claimants. In “normal” times, only about 40% of the “unemployed” are claiming benefits. The generally reported unemployment rate also has a work-search requirement. If you haven’t made any minimal attempts to find work, you aren’t counted as “unemployed.”

Watch this Space

While this analysis won’t be updated on a regular basis, new data will be added to the data visualization on a weekly basis allowing readers to check back for the latest information.

An Unprecedented Event

Not surprisingly, first-time claims for unemployment benefits have soared in Utah and across the nation as the pandemic swept across the country. This increase is unprecedented since the creation of unemployment insurance coverage during the Great Depression. Week 12 (beginning March 16) marks the start of this unparalleled surge in claims. On a positive note, while new claims for unemployment benefits have skyrocketed in Utah, the state currently shows one of the lowest claims rates in the nation.

In Bear River, total claims peaked at week 15 (starting April 6), slightly after the state average of at or before week 14 (starting March 23). During the peak week 15, initial claims filed totaled 1,183 in Bear River. By week 19, claims measured considerably lower but continued to run substantially greater than in previous years — even during the “Great Recession.”

Here’s another example of the tremendous flood of new claims. Prior to the COVID-19 pandemic, counties in Bear River averaged a total of 49 first-time claims per week. This time period included seasonally high claims weeks in January. In the weeks after, an average of 738 claims were filed for an almost unbelievable increase of 1,506%.

Who took the hardest hit?

Across the state, there was an initial spike in food service, retail and healthcare/social assistance filing initial claims in the weeks immediately following the start of the pandemic in Utah. The Bear River region was affected similarly until week 15, which saw a sharp increase in the number of claims from the manufacturing industry. For weeks 12 through 14, about 8% of initial claims were from manufacturing. On week 15, that percentage increased to roughly 45% of initial claims as companies reacted to the national and international effects of COVID-19 on consumer demand and supply chain management and has remained high in comparison to other industries in the weeks following.

Manufacturing and COVID-19

Rich County and Cache County were both hit less heavily in comparison to the state — receiving first-time claims from 5% of covered employment in their areas compared to the state total of 10%. Box Elder County is recorded as having first-time claims from 12% of their covered employment.

The unemployment insurance system was first put in place in 1935 with the Social Security Act during the Great Depression and was designed largely around production and manufacturing jobs. In the 85 years since, the labor force has changed significantly and the prevalence of the service industry (food/retail) has increased. The early effects of COVID-19 largely impacted these service sectors while in the most recent weeks, the region has seen the large numbers of claims coming from the manufacturing industry. The numbers were enough to make manufacturing the regions overall largest contributor to unemployment benefit claims. This is indicative of both Bear River’s heavy concentration in the manufacturing industry as well as the expanding effects of pandemic slowdown across more industries over time.

The Industry Flow

While most of the high-claim industries felt the pain of the pandemic early on, other industries surged in later weeks. As the economic effects of other closures worked their way through the economy, both manufacturing and transportation/warehousing proved relative latecomers to the layoffs in the Bear River region.

The High and the Low

Although manufacturing is the dominant industry in the Bear River region and has generated the largest number of initial claims during the COVID-19 pandemic, in percentage terms, other industries have actually suffered more. For example, in the small real estate and rental and leasing industry, roughly 20% of workers have filed for claims. The Other Industries sector, which comprises mainly of auto work and personal beauty services, had a first-time claims rate of 13%. Accommodation and food services also has a higher first-time claims (11%) rate than manufacturing, despite manufacturing having more than twice as many claims total.

Because of its job-to-job nature, the construction industry typically accounts for 20-30% of first-time claims. However, although construction’s new claims have also increased, they have increased at a much slower-than-average rate. After the start of the COVID-19 pandemic, construction contributed only about 4% of first-time claims. Ease of social-distancing and good weather have helped construction maintain employment levels. New claims measured just 4% of covered construction employment.

Only a portion of agricultural employment is covered by unemployment insurance laws. However, as companies work to keep America fed, agribusiness has laid off few employees. In the Bear River region, covered agriculture plays a notable role in the economy. However, less than 1% of Bear River’s covered agricultural workers have filed a claim during the pandemic.
Public administration, educational services (including public and higher education), finance/insurance, professional and scientific services, and utilities have also managed to keep a higher percentage of their workforces employed.

County by County

Box Elder County
  • Prior to the pandemic slowdown, Box Elder County averaged 18 unemployment claims per week compared to 330 new claims afterward, an increase of 1,688%.
  • Because of its large share of employment in manufacturing, the worst effects of COVID-19 were delayed from the initial effect on food accommodation, retail trade and nonessential healthcare. As a result, the peak of initial claims was on week 15, with 607 initial claims.
  • New claims, as a percent of covered employment, measured at 12% — higher than the state average and reflective of the region’s industrial strengths.
  • While manufacturing had the highest total initial claims at 1,213, it did not have the highest percent of covered employment submitting initial claims. Real estate and rental services, personal care services, accommodation and food services, and information all had higher initial claims as a percent of covered employment.
  • Box Elder County accounted for 40% of the Bear River Region’s new claims prior to the pandemic. For weeks 12 through 14, it dropped to around 35%, and then rose as manufacturing was impacted on week 15 and has rested about 50% since. Overall, manufacturing accounts for 46% of all claims in Box Elder County.

Cache County
  • Cache County shares a regional specialization in manufacturing but has not been as affected as sharply in the sector as Box Elder. Cache County saw 14% of total initial claims compared to Box Elder’s 46%. Across all industries, only 5% of total covered employment in Cache County has filed initial claims, half of the state of Utah’s average of 10%.
  • Prior to the COVID-19 slowdown, Cache County averaged 30 first-time claims per week, compared to an average of 404 claims per week afterwards. This change represents an increase of 1,243%.
  • Although all industries have been affected by COVID-19, no single industry was overwhelmingly represented in initial unemployment benefit claims. Manufacturing and food services were both 14% of total initial claims in the county, followed by retail trade (12%), health care and social assistance (11%) and administrative support (7%).
  • 11% of total claims are from unknown industries, which will largely reflect the distribution of known industries.
  • The high unemployment claims from manufacturing across the Bear River Region has actually lowered Cache’s share of first-time claims after the COVID-19 slowdown from 61% before quarantine procedures to 55% after.

Rich County
  • In the weeks before business reacted to the pandemic, Rich County averaged one initial claim per week. After the pandemic hit, an average of four claims were filed per week, marking an increase of 368%.
  • In Rich County, first-time claims in the restricted period measured 5% of covered employment. That places Rich County in the bottom half of a county-by-county ranking. Only 34 claims were filed in total.
  • As in many counties, Rich County’s accommodations/food service industry accounted for the highest number of new claims after the COVID-19 slowdown, but was tied with real estate and rental and leasing, both accounting for 21% of claims total.
  • Public administration, construction, and health care and social services followed, each have three or less claims.
  • First-time claims from Rich County have gone from 2% of the Bear River Regional total before the COVID-19 slowdown down to 1% or less in the weeks following.



Monday, March 5, 2018

Utah's Seasonally Adjusted Unemployment Rates

Seasonally adjusted unemployment rates for all Utah counties have been posted online here.

Each month, these rates are posted the Monday following the Unemployment Rate Update for Utah.

For more information about seasonally adjusted rates, read a DWS analysis here.

Next update scheduled for March 26th.

Friday, March 2, 2018

Utah's Employment Situation for January 2018

Utah's Employment Situation for January 2018 has been released on the web.

Find the Current Economic Situation in its entirety here.

For charts and tables, including County Employment, go to the Employment and Unemployment page.

Next update scheduled for March 23rd, 2018.


Wednesday, January 27, 2016

How educated is Bear River's workforce?
It depends on how you look at it — based on where they work or where they live.

Matt Schroeder, Regional Economist

Local leaders have become increasingly aware of the relationship between the education level of their local workforce and the economic strength of their communities. Higher levels of education are closely linked to higher incomes for individuals; which, in turn, brings in higher tax revenues and lower government social program costs. People with higher education levels tend to be healthier, more involved in community organizations and give more to charity. They are also less likely to be chronically unemployed, less likely to require social assistance, and have lower incarceration rates.

More broadly, when businesses look to expand or locate in a particular area, one of the primary factors they consider is the availability and training of the local workforce. A region with a more highly educated labor pool will tend to draw businesses that need highly educated employees. Those jobs, in turn, tend to garner higher wages. Higher wages mean more consumer spending and tax revenue for local governments, which allow for investment in infrastructure, public services and community development.

These benefits have long been known and I mention them to highlight why so much emphasis is often placed on education in the public arena. It really matters for community health and development. But there is an interesting question to this issue that is seldom explored when we think about how to better educate our local workforce: Should we focus on the education levels of the people who live in our communities, or on those who work in our communities?

To clarify, we’re talking about community investment in increasing higher education attainment levels, not the funding of primary and secondary education. On the resident workforce side, this may include expanding post-secondary degree programs and institutions, or encouraging and supporting student enrollment in higher education. On the working workforce side, higher levels of educational attainment are achieved by growing the number of jobs that require higher levels of education. Community investments to achieve this may include developing infrastructure and facilities to meet the needs of businesses, incentives for target industries.

For a local city or county considering investing in these types of development projects with limited funds, where should their focus be? This is an especially relevant question in an area like Bear River where the local commuting patterns are very fluid. Thousands of commuters flow along I-15 and Hwy 89 every day to jobs in other cities and counties. A well-educated engineer, for example, may be living in Brigham City, but commutes up to Logan every day for work. Should local leaders be concerned with developing a better-educated resident workforce if they are likely to just commute somewhere else for work? Or should the community be more focused on bringing in the kinds of jobs that will help keep an already well-educated population working closer to home?

The answers to these questions depend on the specific characteristics of local economies, and unfortunately, no single answer or formula can be applied across the board. As a start, it helps to first have a picture of what’s actually happening. The interactive data visualization above allows you to see the situation for your county. Click on the map to see your county and hover over each chart to see details and an interpretation of the data.

In Box Elder, Cache and Rich counties more people commute out for work than come in. Of the three, Box Elder County has the largest net outflow, with more than 6,400 net out-commuters representing about 35 percent of the resident workforce. Of those 6,400, about 30 percent, or nearly 1,900 net out-commuters, have a bachelor’s degree or higher. The share of workers with a bachelor’s degree living in Box Elder County is 27 percent while the share working there is 26 percent. This is a relatively balanced out-flow in terms of educational attainment, but the fact remains that nearly 1,900 highly skilled workers are leaving every day for work. Ease of access to the rest of the Wasatch Front via I-15 and the short commute up to Logan make this possible, but many would likely stay closer to home if the jobs existed to support them.

Cache County has far fewer out-commuters in both percentage terms and in total numbers. The net out-flow of about 2,200 workers represents just 7 percent of the resident workforce and fewer than 600 of those leaving have a bachelor’s degree or higher. The result is that the share of workers with a bachelor’s degree or more working in Cache County is actually higher than the share of those living in Cache County — 31 percent vs 30 percent.

Rich County also has relatively little out-flow. More people commute out for work than come in, but the net outflow of 52 represents only 12 percent of the resident workforce. However, 33 of those 52 out-commuters have a bachelor’s degree or higher. The resulting share of people working in the county with that level of education is much lower, at 25 percent, than the share living in the county, at 29 percent.

Each of these counties is distinct in terms of the factors that play into why their worker flow patterns exist. For Box Elder and Rich Counties, there is clearly a current resident population more educated than the local job market demands. It may be worth exploring the possibility that those areas may benefit from a greater focus on high-skilled job creation. Cache County, on the other hand, is more balanced in terms of the share of highly educated workers that live and work there, so they may benefit most from a two-pronged approach that seeks to bring in higher skilled jobs while at the same time building the workforce to fill them.

Monday, August 3, 2015

Cache County Economic Update

Cache County Continues Steady Growth in Early 2015

By Matt Schroeder


Cache County began 2015 with solid, consistent economic performance. Taxable sales were up more than 7.3 percent with particular strength in retail markets. Employment growth was steady and broad-based at 2.6 percent despite an extremely low unemployment rate. Wages are still relatively flat, but overall, the indicators are reaffirming that the long term trajectory of economic performance for the county is still positive.


Local Insights updated on the web

By Mark Knold, Supervising Economist 

Shelter is one of humanity’s basic needs. That is why housing is everywhere. Since housing is so ubiquitous, it becomes an important component in an economy’s foundation, and as such becomes an economic indicator.

In this issue of Local Insights, we look at the demand for housing structures, the amount of housing permits and their history, and how this history shows that housing demand follows the ups and downs of a region’s economic performance. In evaluating the volume of housing permits, we also parallel the health and vitality of the local economy.

People need jobs that supply them income in order to afford housing. Jobs are not the only factor, as things like affordability and the ability to obtain lending also play their part in housing demand. But the foundation of housing demand is the health of the job market.


The graph shows Utah statewide housing permits. A trend of normal permitting activity is evident from 1996 through 2004. Permits rose during the pre-Great Recession boom, then became lethargic for the seven years following. It is just recently that the volume of permit activity is again approaching something normal. That in itself is an economic indicator of an improved Utah economy.


--------------------------------------------

To read more, see the latest issues of Local Insights. To receive a printed copy, please call 801-526-9785.