Showing posts with label Occupations. Show all posts
Showing posts with label Occupations. 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.



Wednesday, October 19, 2016

Show Me the Economy - Occupational Projections for Cache County, Utah

The biennial update to Utah's occupational projections have been released and can be found here: http://www.jobs.utah.gov/wi/pubs/outlooks/state/index.html.  But first. check out these highlights:


Cache County Highlights

Matt Schroeder, Regional Economist
The projected occupational growth rate in Cache County is slightly below the rest of the state on average at 2.3 percent annually through 2024. Utah statewide projected growth is 2.7 percent. The 2,530 projected annual openings in Cache County from 2014 to 2024 represent about 4 percent of all projected openings in the state.

The occupations with the highest growth expectations are, on average, those that require the most education. Jobs that typically require a doctoral or professional degree are projected to grow 2.7 percent annually through 2024. Growth in openings for physicians, physical therapists and psychologists are driving this trend.

Expectations for healthcare practitioners and healthcare support occupations in Cache County are worth highlighting. The healthcare industry is supplying large numbers of annual openings and is expected to grow at more than 3 percent every year over the next eight years. Registered nurses have the strongest demand outlook among healthcare jobs, with expected growth of 3.7 percent or about 40 openings a year, and they earn median wages of nearly $58K per year. Nursing, medical and dental assistants are also expected to be in demand with about 60 openings per year combined. These jobs offer median wages between $22K and $28K per year, but require less education.

After registered nurses, perhaps the most noteworthy occupations in terms of expected demand and wages are applications software developers, mechanical engineers and accountants/auditors. Jobs such as these in the areas of business/finance, engineering and information technology, tend to offer high wages for the level of education required and consistently exhibit a strong growth outlook. Application software engineers are projected to grow by about 3.2 percent or 20 openings per year in Cache County. They typically require a bachelor’s degree and earn median wages of $69K per year. Similarly, accountants and auditors are projected to grow by about 3.2 percent or 20 openings annually and earn median wages of $55K per year.

There are many other occupations in the region that are projected to offer excellent opportunities as well — electrical engineers, mechanical engineers, engineering techs, cement masons and concrete finishers, environmental science techs, and management analysts just to name a few. You can learn more about these occupations and others through the Utah Occupational Explorer where you can explore and compare occupations of interest in detail by region, wage level, typical education required, projected growth, and demand. Before digging into the details though, take a look at the interactive data visualization above to see the big picture of the occupational outlook for Cache County.

About Utah's Occupational Projections
Mark Knold, Supervising Economist

“The government knows everything about everyone.”

Fortunately, that statement is not true. Yet society still looks to the government to provide answers to comprehensive and complex questions that have their foundation within individual decisions and activities. One subject frequently directed toward the government is individual-level information about the economy — particularly, what occupations are in demand, what occupations pay well and have lucrative outlooks, and ultimately, what occupation(s) should I build my career upon?

It takes the accumulation of a wide array of individual information to answer these questions. Employers provide the foundation information about the occupations they employ. Jobs are held by individuals, but employers provide the profile information about the job itself, not any particular individual.

Since society desires to profile such a broad spectrum of the economy — occupational profiles and the occupational distribution within the economy — only government is in the unique position to collect, analyze and provide answers for said desire. Yet, no government program or regulatory agency mandates any comprehensive occupational reporting from individuals or businesses. Therefore, government attempts to fill the void with an ongoing, robust and voluntary survey of employers — a survey where employers are asked to provide details about their various occupations, including descriptions, quantities, wages/salaries and location. Through this survey emerges an occupational portrait of an economy.

The U.S. Bureau of Labor Statistics (BLS) structures and funds the survey, yet the individual states conduct the survey. Under BLS administration, all states use the same methodology; therefore, occupational profiles are comparable across states.

Through this survey, analysts discover how industries are populated with various occupations. Accountant is an occupation, yet accountants can be found across many different industries. Other occupations may be more exclusive to certain industries; for example, doctors are largely found only in the healthcare industry. One of the survey’s products is that industries can be profiled with their general mix of occupations. This is called an industry’s occupational staffing pattern.

This brings us back to the original questions: what occupations are in demand, what occupations pay well and have lucrative outlooks, and ultimately, what occupation(s) should I build my career upon?

The foundation is to make informed forecasts about how industries will expand/contract over the next 10 years. By applying existing occupational staffing patterns to each industry’s projected change, a trained economic analyst can then make an extrapolation about how occupations will correspondingly increase/decrease. Knowledgeable analyst judgment further refines the occupational expectations, such as knowing an occupation will grow faster than in the past, with the result being a set of occupational projections that accumulate to profile a state or regional economy.

A new set of occupational projections are done every two years to keep the information fresh even though economies do not change dramatically in short order. Because of slow change, updated occupational projects generally continue the overall message of preceding occupational projections. But economies do modify with time, and therefore, subtle changes will arise with each new set of occupational projections.

Utah’s most recent occupational projections are found here: http://www.jobs.utah.gov/wi/pubs/outlooks/state/index.html. These projections look forward to the year 2024.

The occupational profile is structured from the general to the detailed, mimicking the structure of a family tree. First, broad occupational categories are defined, such as management or healthcare occupations; then, subcategories are defined; and finally, individual occupations are defined. Individual occupations are the heart of the occupational projections. But overall patterns and characteristics do emerge when observing the broader categories.

While a Utah statewide profile leads the way, Utah’s local economies are not homogenous; therefore, nine Utah subregions are also profiled. Due to confidentiality restraints and statistical reliability, the amount of occupations available will diminish the smaller a subregion; but, occupations comprising the backbone of a regional economy will be available.

 

Thursday, September 4, 2014

Long-Term Employment Projections

The long-term employment projections have been updated for the time period of 2012 to 2022. Projections are produced for the state of Utah as well as for eight sub-state areas. The areas are determined by population and job density and are not created equal. But rather, types of jobs are determined by the nature of the local area’s economy. Short-term projections for 2012 to 2014 are also provided for statewide.

The value in providing these projections is to help identify which types of jobs are most likely to be in high demand in the future. Ultimately, the long-term employment projections act as a forecasting measure by which individuals as well as organizations and agencies can plan ahead.

See the latest long-term projections produced by DWS for the Bear River area.

Friday, August 29, 2014

A Story of Wage Data

The Wages and Income page has a new look to the wage data that is gathered by the Workforce Research and Analysis division. Along with visualization of the data, you can now read story points at the top of each graph, to help understand what the data is showing you along with highlighting its insights. Just click along the story points at the top of the visualization to follow the story of wages.




Tuesday, October 1, 2013

Upswing in U.S. Manufacturing & the Implications for Northern Utah

Tyson Smith - Economist

Recently, there have been a number of indicators suggesting that domestic manufacturing is gathering momentum (here, here and here, for example).  And while market forces have been working against keeping production in the United States for decades, we are starting to see economic incentives for “reshoring” manufacturing.  The financial advantages of outsourcing production to countries with lower labor costs still exist, but the margins for doing so are thinner than they were as recently as 10 years ago.  Furthermore, the shift toward automated production has put a higher premium on skilled labor versus inexpensive labor.

Even though the aforementioned structural shifts toward “reshoring” have encouraged increases in domestic manufacturing, the majority of the gains in output over the last 3 years have been a result of the global economy recovering from the Great Recession.  The pertinent question for us to examine is: How has the recovery affected employment in the manufacturing industry in Northern Utah?