A Look into Changes in Home Prices in Detroit and Wayne County, Michigan, Between 1991 and 2016

By Martin Lavelle and Dan McMillen

Since the early 1990s, the housing market in Wayne County, Michigan, whose county seat is Detroit, has experienced substantial price swings. Housing market volatility has varied by municipality (and by neighborhood within Detroit). Changes in the Wayne County housing market show us which areas have thrived and which have struggled in the past quarter century or so. In this blog post, we take a look at how home prices across the county have changed between 1991 and 2016, with a focus on changes in the Detroit housing market.

Analysis of maps

We used a nonparametric procedure to estimate hedonic price indexes for each census tract (or neighborhood in Detroit) for five-year intervals throughout the overall sample period between 1991 and 2016.(1) The nonparametric procedure uses the census tract (or Detroit neighborhood) centroids as target points, and then just uses weighted least squares with more weight on sales near the target points.

Before going over each of our five maps individually, we want to highlight a few aspects common to all of them. The numbered and colored axis on the right of each map shows the five-year percentage change in home sale prices. Broadly speaking, red areas indicate relatively hotter housing markets (within Wayne County), while blue areas indicate relatively cooler housing markets. The darker a shade of red an area is, the relatively more positive (or less negative) the change in home sale prices; the darker a shade of blue an area is, the relatively less positive (or more negative) the change in home sale prices.

Each map covers all of Wayne County. Wayne County’s boundaries are the Detroit River to the east; 8 Mile Road to the north; Napier Road and Rawsonville Road to the southwest; and Oakville-Waltz Road, Will Carleton Road, and the Huron River to the south. The Grosse Pointe communities begin in the northeastern corner of Wayne County. In each map, the city of Detroit’s borders appear as thick black lines. Going west from Detroit’s city center, one would encounter Redford Township, Livonia, and Plymouth. Going southwest from Detroit’s city center, one would travel through Dearborn, Metro Airport, Wayne, Belleville, and Canton Township. South of Detroit lie Allen Park, plus the Downriver communities that include Lincoln Park, Trenton, and Woodhaven.

The two smaller areas demarcated with thick black lines within Detroit’s borders are Highland Park and Hamtramck; both cities were outside of Detroit when they were originally founded, and they decided to remain incorporated after Detroit expanded further northward in the first quarter of the twentieth century.(2) The white areas just outside of Southwest Detroit are Ford’s corporate headquarters and its Rouge River plant and associated industrial areas.

Map 1. Home price changes in Wayne County, Michigan, 1991 to 1996
Source: Authors’ calculations based on data from CoreLogic Real Estate.

In the first half of the 1990s, much of Wayne County saw increases in home sale prices. Notably, there isn’t much variance in home sale price changes in map 1. There were areas both inside and outside Detroit that experienced the greatest relative increases in home sale prices. Within the city, Midtown and northwest Detroit saw the largest positive changes in home sale prices. Outside of Detroit, the exurban areas of Plymouth and Canton Township experienced the greatest positive changes. With the exception of Dearborn, which on the map appears to be poking Detroit’s southwest border, Detroit’s first ring of suburbs experienced increases in home sale prices that were at the lower end of the spectrum of gains.

The results in map 1 are in line with Detroit’s economic narrative at the time. Detroit enjoyed an economic boom in the first half of the 1990s (following the brief national recession of 1990–91). One factor that specifically helped Detroit back then was low oil prices, which boosted sales of sport utility vehicles (SUVs) made by the Detroit Three automakers (Chrysler, Ford, and General Motors). Higher profits at the Detroit auto manufacturers had a positive ripple effect on the local and regional economies. Another factor helping the Detroit area was stable public finances. An often overlooked achievement of the 1990s was the fact that Mayor Coleman Young’s administration balanced Detroit’s budget before his tenure ended in the mid-1990s.

Map 2. Home price changes in Wayne County, Michigan, 1996 to 2001
Source: Authors’ calculations based on data from CoreLogic Real Estate.

During the latter half of the 1990s and the beginning of the twenty-first century, Wayne County continued to see widespread increases in home sale prices, though with slightly greater variance than in first half of the 1990s. Large home sale price increases were found throughout Detroit. During the late ‘90s, government payrolls were expanded, adding to Detroit residents’ disposable incomes. An increase in local government jobs, combined with the surging automotive industry and general economy, led to a sharp decrease in unemployment in Detroit: The city’s unemployment rate averaged 6.6% in 2000, a significant drop from the 1990 average of 15.0%.(3) Meanwhile, Detroit’s first ring of suburbs witnessed a slight pickup in growth in home sale prices. However, Wayne County’s exurban areas saw a modest deceleration in their rate of growth in home sale prices. Overall, the Wayne County housing market was strong throughout the 1990s.

Significant changes were made to how state and local revenues would be collected and used between 1996 and 2001. Dennis Archer replaced Coleman Young as the mayor of Detroit (in 1994) and added to city payrolls, which raised the disposable income of the city at the cost of unbalancing Detroit’s budget. Also, Proposal A, Michigan’s large school-reform bill,(4) flushed Detroit Public Schools with additional cash, adding to the district’s appeal. And state revenue sharing hadn’t been cut yet, giving city government additional resources for services. A lot of economic and fiscal factors worked in Detroit’s favor during the 1990s, most likely making positive impacts on the city’s housing market. However, the next decade would reveal the mistakes of increasing government spending as Detroit’s population (i.e., its tax base) continued to shrink.

Map 3. Home price changes in Wayne County, Michigan, 2001 to 2006
Source: Authors’ calculations based on data from CoreLogic Real Estate.

Home sale price appreciation endured through 2006 across Wayne County, though with slightly greater variance compared with the appreciation seen in the previous five-year interval. Again, the largest relative gains in home sale prices were in Detroit. Gains in home sale prices flattened in the first ring of suburbs, whereas some exurban areas saw a slight pickup in growth. From looking at map 3, one might conclude that the Detroit and Wayne County economies had stayed the course and built on the 1990s expansion. Unfortunately, that wasn’t the case. After the turn of the millennium, the subprime housing crisis began. During the early 2000s, Detroit didn’t see the massive boom in homebuilding or the surge in home values seen in places such as Las Vegas, Phoenix, Tampa, and southern California. That said, Detroit home values remained elevated as a result of the U.S. housing bubble.

After falling to a low of 3.7% in 2000, Michigan’s unemployment rate rose to 7.2% in 2003.(5) The state’s unemployment rate bounced around that rate until it began to rise again with the beginning of the U.S. Great Recession in December 2007. Many analysts have contended Michigan’s economy fell into recession sometime late in 2003, as the boom in SUV sales receded with the rising price of fuel. Then, beginning in 2005, layoffs and voluntary buyouts of long-tenured employees of the Detroit Three automakers began, helping to slow economic activity further. Simultaneously, Detroit’s economic momentum was halted. Detroit residents were already weighed down by high city income tax rates, and revenues from its local casino wagering taxes began to wane. Moreover, the city’s unemployment rate rose quickly after hitting its 2000 low; it reached 14.1% in 2004, and lingered there until late 2007.(6)

Map 4. Home price changes in Wayne County, Michigan, 2006 to 2011
Source: Authors’ calculations based on data from CoreLogic Real Estate.

After experiencing widespread home sale price increases between 1991 and 2006, home sales price decreases permeated throughout much of Wayne County between 2006 and 2011. Of all the Wayne County municipalities, Detroit suffered the most from the popping of the housing bubble. Even areas of the city that one might assume would be more stable than others (for instance, Midtown Detroit) suffered sizable home sale price decreases. The further out one went from the city, the lesser the decline in home sale prices. However, almost no area was spared. One can almost divide the map into auto-industry-dependent, blue-collar areas and relatively more diversified, white-collar areas (the blue areas were the former, the red areas the latter). Another thing to keep in mind is that outmigration accelerated during this time. Economic misfortunes, early retirements, and the aging of the population persuaded many to leave and seek residence elsewhere.

Map 5. Home price changes in Wayne County, Michigan, 2011 to 2016
Source: Authors’ calculations based on data from CoreLogic Real Estate.

The year 2011 marked a turning point for Wayne County’s economy. In that year, Dan Gilbert moved the headquarters of Quicken Loans downtown and started incentivizing his employees to live there as well. Also in 2011, Gilbert began buying downtown real estate. Now, Gilbert owns over 90 buildings downtown. The year 2011 was also when Mayor Dave Bing announced his intention to supply additional funding to certain stable neighborhoods of Detroit that were deemed “demonstration areas.”(7) The Detroit neighborhood of Boston–Edison (one of the demonstration areas) shows up in map 5 as a lighter red area (indicating it had modest home price increases). Bagley (another demonstration area) is one of the lighter blue Detroit neighborhoods (indicating a slight rebound in home values there).

In map 5, Detroit’s Downtown, Midtown, and Corktown, plus their surrounding areas, show signs of life. As we mentioned, Dan Gilbert was the catalyst for downtown investment. And it turns out that Midtown Detroit, Inc., was the catalyst for Midtown investment. In 2011, Midtown Detroit, Inc., Detroit Medical Center, Wayne State, and Henry Ford Health Systems announced the start of the Live Midtown program, which provided monetary incentives for people to move to Midtown.(8) This program helped increase the rental occupancy rate in Midtown Detroit to nearly 100% in 2014.(9) And high occupancy rates have endured in Midtown even with the additional living capacity built over the past few years.(10) In Corktown, the owners of Slows BBQ helped draw new investment to other vacant Michigan Avenue storefronts, improving the neighborhood’s attractiveness.

Conclusion

During the late 1990s and early 2000s, home sale prices rose much more rapidly in (already relatively low-priced) Detroit neighborhoods than in many other parts of Wayne County (see map 2). However, these same Detroit neighborhoods were the areas where home prices fell more significantly as Michigan endured its one-state recession from around 2003 through 2009 and as the U.S. housing bubble burst in 2006 (see map 4).

Map 5 (which describes the five-year home price changes between 2011 and 2016) almost perfectly demonstrates the argument that there are now “two Detroits,” as public and private investments to date have helped only some parts of Detroit to revitalize and raise their home values. The areas in red are where the bulk of Detroit’s revitalization is taking place, while the areas in blue are the neighborhoods still waiting to participate in the city’s rebound. At this point, the blue areas in Detroit are vastly outnumbered by the red ones. But many public sector and private sector efforts are under way to improve the city’s living conditions, which may lead to higher home prices (and, in turn, higher tax receipts and perhaps expansions of city services to draw more people). So, in the coming years, Detroit may start to see its red neighborhoods outnumbering its blue ones.

(1) Nonparametric regressions are used when the relationship between the independent and dependent variables aren’t already known. The regression analysis from the data provided determines the relationship between the independent and dependent variables. A hedonic price index identifies price factors (the characteristics of the good itself and the external factors affecting its sale). (For more on census tracts, see https://www.census.gov/geo/reference/webatlas/tracts.html.) Details on our procedure are available upon request.
(2) For details, see https://wdet.org/posts/2014/09/19/80119-why-do-hamtramck-and-highland-park-exist-inside-the-city-of-detroit/.
(3) Author’s calculations based on data from the U.S. Bureau of Labor Statistics.
(4) See http://www.mlive.com/education/index.ssf/2014/04/a_brief_history_of_proposal_a.html.
(5) Author’s calculations using data from the U.S. Bureau of Labor Statistics
(6) U.S. Bureau of Labor Statistics.
(7) See http://www.crainsdetroit.com/article/20110727/FREE/110729908/detroit-works-project-to-be-measured-in-three-demonstration-areas.
(8) See https://www.freep.com/story/news/local/michigan/detroit/2015/11/01/midtown-incentives-boost-diversity/74014992/.
(9) See http://www.mlive.com/business/detroit/index.ssf/2014/04/with_shortage_of_housing_optio.html.
(10) See https://detroit.curbed.com/2018/2/20/17031664/report-apartments-downtown-highest-average-rent-detroit and https://www.freep.com/story/money/business/2017/02/18/detroit-apartments-real-estate/97640058/.

Potential Seventh District Contenders for Amazon’s HQ2

By Martin Lavelle

In September 2017, Amazon announced its search for a second North American headquarters location. Ultimately, 238 North American metropolitan areas submitted bids within the six-week allotted period, including several in the Seventh District (1). In this blog, I examine the potential Seventh District contenders based on some important criteria relating to logistics, business environment, and labor force.

Amazon’s request for proposals laid out its location preferences:
• Metropolitan areas with more than 1 million people
• A stable and business-friendly environment
• Urban or suburban locations with the potential to attract and retain strong technical talent
• Communities that think big and creatively when considering locations and real estate options

In the Seventh District, the metropolitan areas with a population of greater than 1 million are Chicago, Detroit (2), Grand Rapids, MI, Indianapolis, and Milwaukee.

Logistics

The table below shows that each of the Seventh District’s metropolitan areas with more than 1 million residents fulfills most or all of Amazon’s other logistical preferences, though to varying extents.

Table 1: Seventh District MSAs and Amazon’s Logistical Requirements (3).

Chicago possesses the flexibility for Amazon to locate anywhere in its metro area because of the various modes of mass transit available to Chicagoland commuters. Milwaukee’s bus rapid transit lines offer some flexibility as well as to potential HQ2 locations. Chicago and Detroit provide an adequate number of air connections to Amazon’s most important North American metropolitan areas. In addition, O’Hare and Detroit Metro Airports are large enough to potentially adjust operations and increase connections.
Logistics also include freeway networks and the ability of employees to navigate freeways. The work/life balance is disrupted the longer one spends stuck in traffic. The table below shows how the Seventh District metropolitan areas with more than 1 million people rank relative to other major North American metropolitan areas with regard to how many hours one
spends in congested traffic annually.

Table 2: Select North American Metro Areas by Traffic Congestion (4)

While it may not seem like it, especially during road construction season, Seventh District metropolitan areas rank favorably on congestion, relative to population size. What Detroit and Indianapolis lack in mass transit, they compensate for with the number of freeway connections. However, according to the 2015 American Community Survey (ACS), Chicago and Detroit have higher drive and total commute times than the national average in each category. Per the ACS, the percentage of Chicago commuters that utilize some mode of mass transit is slightly above 10%, similar to that of Seattle.

Business Environment

Amazon’s second location requirements include a stable and business-friendly environment. States with more business-friendly tax climates tend to use their corporate tax structure as an incentive to attract new business. The table below shows how Seventh District states rank in the 2017 Overall and Corporate Business Tax Climate Index.

Table 3: Ranking of Select U.S. States in the 2018 Overall and Corporate Business Tax Climate Index (5)

Source: https://statetaxindex.org.

The overall rankings of the Seventh District states compare favorably relative to some states with sites that are considered top contenders for Amazon HQ2 such as Minneapolis, MN and Washington D.C., which are included in the above and remaining tables. Indiana and Michigan rate in the top half, helped by the fact they have the lowest flat individual income and corporate income tax rates among the Seventh District states (6). Illinois fell out of the top half in the most recent annual update to the rankings. Meanwhile, Michigan has moved into the top 10 overall.

Theoretically, business activity levels should increase if the state is relatively friendlier to business. One could surmise that a greater number of businesses would place their corporate headquarters in a state that ranks as more accommodating to business. The chart below plots a state’s corporate tax climate ranking versus the number of Fortune 500 companies headquartered in that particular state.

Chart 1: Corporate Business Tax Climate Index Ranking vs. Actual and Predicted Fortune 500 Headquarters

Sources: https://www.ceo.com/entrepreneurial_ceo/two-charts-showing-states-with-the-most-fortune-500-companies and https://statetaxindex.org.

As shown by the green trend line on the chart, there’s actually a slight positive relationship between a state’s corporate tax climate index ranking and the number of Fortune 500 companies headquartered there. The lower the state is ranked, the greater the number of corporate headquarters located in that particular state. That’s the opposite of what one would expect, which is the red dotted line on the chart above.

So if a state’s overall business tax climate doesn’t impact where a corporation will locate its head offices, what variable does influence those decisions? Another example of a state with a business-friendly environment is one that offers incentives to help influence companies’ location decisions. The table below displays how the Seventh District states with eligible metropolitan areas compare with others in that dimension.

Table 4: Annual Business Incentives Per Employee

Source: Moody’s Analytics

By this measure, Michigan ranks highly relative to sites in states that many analysts think have major contenders to land Amazon’s HQ2 such as Austin, TX; Philadelphia, PA; Boston, MA; Portland, OR; Denver, CO; Atlanta, GA, San Francisco, CA; Raleigh, NC; and Salt Lake City, UT. Michigan is noticeably more generous with incentives than other Seventh District states. A major reason companies seek incentives is to offset tax liabilities. The Upjohn Institute created a database with national tax and incentive data, as well as state tax and incentive data for 33 states across 45 industries over the past 26 years. From the database, one can determine the magnitude of a state’s tax liability and incentive for a given industry as a percentage of that industry’s economic value-added. Then, by taking the incentive percentage (of its value-added) for a given state and dividing that by its tax percentage (of its value-added), one can determine to what extent a state’s incentives offset an industry’s tax liabilities in that specific state. The table below compares state tax liabilities and incentive offerings as a percentage of their respective value-added, along with the percentage of state tax liabilities covered by incentive offerings for some of the Amazon HQ2 contenders and the U.S. overall.

Table 5: Incentives and Taxes by U.S. and Select State, 2015 (7).

Source: Tables 10, 13, and 15 of http://research.upjohn.org/cgi/viewcontent.cgi?article=1228&context=reports.

Except for Illinois, the Seventh District states rank favorably relative to other states when looking at incentives as a percentage of state’s value-added and as a percentage of a state’s gross taxes. Having a greater percentage of its gross tax liabilities offset by incentive offerings would likely make a state more attractive to a business. Another takeaway from the table is that it doesn’t follow the previous table that showed incentives per job. Texas may have the highest incentive per job, but its incentive offerings constitute a relatively low percentage of its value-added. Conversely, Indiana possesses a relatively low incentive amount per job, but incentives offset almost 60% of its gross taxes. Lastly, Washington stands out for being a relatively high tax, low incentive state that lags significantly behind the other contending states.

Talent

Amazon has stated that it “will hire as many as 50,000 new full-time employees with an average annual total compensation exceeding $100,000 over the next 10-15 years, following the commencement of operations.” (8) In order to fill that many positions, Amazon will need to attract and retain highly skilled workers. That requires access to a college-educated population, including a substantial number with degrees in science, technology, engineering, or math (STEM) fields. The table below compares the Seventh District candidate metropolitan areas with other contenders on the relative education level of the adult population, as well as the percentage with a science or engineering background.

Table 6: College-educated Population in Select U.S. Metropolitan Areas

Source: 2016 American Community Survey, Seventh District locations are highlighted.

Among the group above, the Seventh District metropolitan areas don’t match up well. The Michigan metros don’t rank well when looking at the percentage of the population that possesses a bachelor’s degree. Grand Rapids ranks last when looking at the percentage of population with an advanced degree. Some of the areas known for their ability to retain and attract talent stand out in the table above. Washington D.C., San Francisco-Oakland, Raleigh, and Boston have world-class universities and globally renowned employers that require and need the best and the brightest.

Of course, not all STEM fields require a bachelor’s degree. Certain occupations in manufacturing and information technology only require a two-year degrees or specific certification. The table below shows the Seventh District candidate cities’ STEM employment relative the same group of U.S. cities listed in the previous table.

Table 7: Percentage of Employees in STEM (9) Occupations; Seventh District and Select U.S. Metropolitan Areas

Source: Author’s calculations based on data from the U.S. Bureau of Labor Statistics, Occupational Employment Statistics database, available at www.bls.gov/oes/tables.htm. Seventh District locations are highlighted.

By this broader measure, the Seventh District metropolitan areas compare more favorably with their peers. Detroit, Indianapolis, and Milwaukee have higher percentages of employees in STEM occupations than the U.S. average. Of the group of metro areas listed above, Detroit ranks behind just five of them.

An important factor in attracting talent is a relatively low cost of living. The next table examines the gross median rent in the Seventh District metro areas and select U.S. metros. Also, the table lists the gross median rent as a percentage of median household income in each metro area.

Table 10: Median Rent and its Percentage of Median Household Income

Source: Author’s Calculations Using Data from the 2016 American Community Survey. Seventh District locations are highlighted.

While there’s a noticeable disparity in the monthly rents among the metro areas, the range considerably tightens when looking at the percentage of household income that is devoted to rent. Detroit has one of the lowest monthly rents, but it comprises a relatively high percentage of household income because of Detroit’s relatively low median household income. Meanwhile, the Washington D.C. metro area, known for its relatively high housing costs, has a median rent almost twice that of Detroit, but it comprises a lower percentage of the metro’s median household income because the metro area has a higher median household income. Among the Seventh District metro areas, rents in Grand Rapids make up the lowest percentage of household income.

Potential Amazon Sites in the Seventh District Cities

Do you have an eight million square foot piece of land to spare in your metro area? That’s what Amazon is asking for their HQ2 site. Amazon requires an initial space of 500,000 square feet that can expand to as large as eight million square feet in order to accommodate the number of employees they plan to have working at their HQ2. Where would Amazon place their HQ2 in each of the Seventh District’s large metro areas? Potential Seventh District contenders have suggested particular sites that could accommodate Amazon’s HQ2.

Chicago

Chicago proposed ten sites that could accommodate Amazon’s new headquarters. They were revealed to the public and can be viewed here. A couple of the sites stand out for different reasons. The Downtown Gateway District site, which includes the old Post Office building, contains move-in-ready buildings, but would also allow Amazon to design its own headquarters. Outside of Downtown, the River District site would also give Amazon some autonomy in designing its headquarters without having to undertake the kind of massive redevelopment effort that some of the other proposed sites would require.

Detroit

The executive summary of Detroit’s Amazon proposal offers few surprises. Dan Gilbert, Chairman and Founder of Rock Ventures and Quicken Loans, was appointed to lead Detroit’s bid for Amazon, which includes Windsor, Ontario, Canada, just across the Detroit River. Gilbert owns 95 Downtown Detroit buildings, giving Downtown Detroit flexibility to move things around if it were to be chosen by Amazon. One potential complex is the now open space that was supposed to have Wayne County’s new jail, and then was bought by Gilbert with much talk surrounding a soccer stadium. With the old jail site on one end and Gilbert’s proposed skyscraper on the old Hudson’s department store site on the other, this location could be attractive. Of course, Detroit doesn’t have a shortage of vacant space that Amazon could build to use. However, Detroit doesn’t have the extensive mass transit system that would allow relatively easy access to some of the larger vacant sites.

Grand Rapids

Grand Rapids hasn’t given any clues publicly as to where it has proposed Amazon would locate within the area. However, the relatively small size of the metro area means it only takes 15-20 minutes to drive from any corner of Greater Grand Rapids into downtown. The metro area includes plenty of space around Holland, only a 35 minute drive from Downtown Grand Rapids, and Grand Valley State University in between.

Indianapolis

Indianapolis didn’t make their Amazon bid public either. Indianapolis may arguably have the most shovel-ready location that would not just fulfill Amazon’s initial 500,000 square foot requirement, but go a long way toward hitting the eight million square foot target. The site used to have a General Motors stamping plant, which it was demolished in 2013. It is located in Downtown Indianapolis on the White River, just across from the central business district and IUPUI, and has relatively easy access to the city’s freeway system. The old GM site has been talked about publicly by city stakeholders. (10) As with Detroit, in Indianapolis, a less extensive mass transit system limits where Amazon could go.

Milwaukee

Milwaukee’s bidding group didn’t reveal its Amazon bid publicly. However, according to the local press, two sites in Walkers Point were included.(11) Walkers Point lies immediately south of Milwaukee’s central business district, contains old industrial sites, and provides access to freeways and Milwaukee’s bus rapid transit system. In addition, one would expect potential locations to be identified in the vicinity of Milwaukee’s airport, which is south of the central business district.

Conclusion

If Amazon were to choose a Seventh District location for HQ2, where would it be? Looking at all of the variables, the most likely Seventh District metro area to attract Amazon would seem to be Chicago. However, if Amazon wanted to transform a community, then Detroit or Milwaukee might be more appealing. If Amazon preferred the most shovel-ready site, then Indianapolis could merit greater consideration. Grand Rapids could emerge as a candidate if Amazon were to place greater weight on its ability to work with local stakeholders, as well as having their employees enjoy a relatively low cost of living. Amazon plans to make an announcement sometime in 2018. (12)

Foot Notes

1 – The Seventh Federal Reserve District serves a five-state region, comprising all of Iowa and most of Illinois, Indiana, Michigan and Wisconsin.
2 – Although Detroit submitted a joint regional bid with Windsor, Ontario, Canada, the statistics I cite here are for the Detroit MSA.
3 – See Information on Airport Hub Size Type from the FAA, number of Direct Flights from October 24, 2017 using the By Route tab at http://www.panynj.gov/airports/flight-status.html?view=DEPARTURE&apt=EWR. Airport data includes all commercial metropolitan airports, i.e., New York consists of Kennedy, La Guardia, and Newark airports. Seventh District locations are highlighted.
4 – Population data from the U.S. Census Bureau, Traffic data from inrix.com/scorecard. Seventh District locations are highlighted.
5 – The overall ranking of the State Business Tax Climate Index is derived from five components: state income tax, sales tax, corporate tax, property tax, and unemployment insurance tax. The corporate tax has the third heaviest weight of the five components at 19%. The corporate tax subindex is divided into three of its own subindexes. The first subindex revolves around the structure of a state’s corporate tax rate, its level, and how many brackets and how quickly does a corporation’s tax liability reach the highest bracket. The second subindex examines variables related to the corporate tax base, such as the caps and number of years allowed for carryback and carryforward, gross receipts tax deductions, and whether or not the state has an alternative minimum tax. The final subindex studies the size and effectiveness of tax credits. Seventh District locations are highlighted.
6 – See p. 59 and p. 64 of https://files.taxfoundation.org/20171016171625/SBTCI_2018.pdf.
7 – Table reports present value of incentives, gross state and local business taxes, and net business taxes after incentives, all calculated as percent of present value of value-added. All incentive and taxes are weighted average, using value-added weights, across all 31 export-base industries, for a new facility starting up in 2015. Table also reports the state’s share of private value-added, which is used to create national averages across these states. Incentives as a percent of gross taxes are simply ratio of the two other columns. All present value calculations use 12 percent real discount rate, and consider facility with life of 20 years. The U.S. incentive percentage is weighted by a state’s gross state product. Seventh District locations are highlighted.
8 – See p. 2 of https://images-na.ssl-images-amazon.com/images/G/01/Anything/test/images/usa/RFP_3._V516043504_.pdf.
9 – The criteria to define STEM- and non-STEM-related occupations were taken from the U.S. Census Bureau. See www.census.gov/people/io/files/STEM-Census-2010-occ-code-list.xls.
10 – See https://www.indystar.com/story/money/2017/09/28/if-amazon-chooses-indianapolis-heres-where-h-2-q-should-go/685599001/.
11 – See http://www.tmj4.com/news/local-news/making-a-pitch-possible-locations-for-amazons-hq2-site.
12 – See p.1 of https://images-na.ssl-images-amazon.com/images/G/01/Anything/test/images/usa/RFP_3._V516043504_.pdf.

Comparing the City of Brotherly Love with Motown: Reflections on How to Effectively Transform Urban Economies

By Martin Lavelle

When I think of Philadelphia, the following subjects come to my mind: Benjamin Franklin, Betsy Ross, the Liberty Bell, Independence Hall, the Declaration of Independence, and the Constitution. Also, being a sports fan, I think of what a great sports city it is: There’s quite a passionate fan base for its professional teams, as well as Big 5 college basketball at the Palestra. Admittedly, as someone who works in and studies Detroit, it doesn’t naturally occur to me to compare Detroit and Philadelphia like I would Detroit and Pennsylvania’s other major city, Pittsburgh, with its historical reliance on one manufacturing sector, steel. However, as I looked more deeply into Philadelphia’s history, I found myself drawing multiple parallels between the Motor City and the City of Brotherly Love.

On September 21–23, 2016, the Federal Reserve Bank of Philadelphia, other Federal Reserve Banks, and additional sponsors and supporters convened the Seventh Biennial Reinventing Our Communities Conference. The theme of this year’s conference was how to transform our economies. The conference’s sessions covered topics such as how to increase access to capital, how to supply a greater stock of affordable housing and address workforce needs, and how to make philanthropic foundations play a more effective role in communities’ economic transformations. This conference provided an opportunity for me to learn about initiatives in other communities and compare them with developments in Detroit. This will be the first of two blog entries in which I discuss the conference and some of my own analysis inspired by it. Here I will draw some historical and current comparisons between Detroit and Philadelphia. In my follow-up blog post, I will recap the conference and compare Detroit’s efforts to transform its economy with ongoing efforts occurring across the country.

Background

As part of my usual preparation for a conference (especially when a city tour is included), I did a statistical comparison of Detroit and Philadelphia. The table below shows the statistical similarities and differences I found most interesting between the two cities.

portland-chart-1

Note: MSA means metropolitan statistical area.
Source: QuickFacts Beta, U.S. Census Bureau.

The population figures stand out for many reasons. First, it’s easy to forget that back in 1950, when their populations peaked, Detroit and Philadelphia were similarly sized cities. Nowadays, just six and a half decades later, Philadelphia has almost two and a half times as many people as Detroit. Back in the middle of the twentieth century, the population of each city made up around 57% of its respective metropolitan area. But as of last year, Philadelphia’s population share of its metropolitan area (26%) was noticeably larger than Detroit’s population share (16%) of its metropolitan area. The fact that Philadelphia’s population increased over the past 15 years boosted the divergence in population trends. Over the period 2000–15, Philadelphia added almost 50,000 people, while Detroit lost 274,154 people. In terms of demographics, Philadelphia is much more diverse. Also, a higher percentage of Philadelphia’s population has attained a bachelor’s degree or higher—thanks in part to the University City neighborhood, anchored by the University of Pennsylvania and Drexel University, and the presence of many other institutions of higher learning within the city’s limits. Given the divergence in demographics, the difference in home values isn’t surprising, but it still jumps off the page.

Philadelphia’s Financial Challenges

Like Detroit, Philadelphia has encountered fiscal challenges. And like Detroit, Philadelphia’s financial problems simmered for many years before boiling over in the early 1990s. The City of Brotherly Love became the first U.S. city to impose an income tax when it did so in 1939. (1) Philadelphia’s income tax remained in a range of 1.0% to 1.5% until the 1960s, when it started to increase, eventually reaching 3.0% in 1970 and almost 5% in 1985. (2) The increase in the city’s income tax rate was one of the leading factors in city residents deciding to leave for suburban communities. Philadelphia’s fiscal crisis peaked in 1990–91 when a structural budget deficit of $154 million was revealed, with expectations of deeper budget deficits in future years. (3) The city received financial assistance in the form of the Pennsylvania Intergovernmental Cooperation Authority (PICA). PICA sold bonds on Philadelphia’s behalf. It also required the city to adopt a five-year financial plan that had to be approved in order to gain access to capital markets and state funding. (4) Led by Mayor Ed Rendell, the city followed its five-year plan while privatizing selected services, introducing more competitive bidding for city projects, and freezing wages for city employees, all of which helped lead to Philadelphia’s recovery in the late-1990s. (5) Philadelphia also began lowering its commuter tax in 1995, converging city and suburban residents’ respective tax burdens. (6) It has been estimated that increases in Philadelphia’s city wage tax cost the city 207,000 jobs from 1973 to 2003. (7) Two separate tax commissions created in the 2000s concluded Philadelphia’s tax system was outdated and needed to be reformed. (8) In 2014, the Greater Philadelphia Chamber of Commerce released a public/private collaborative plan with the aim of organizing growth-based activity in and around Philadelphia. The chamber’s plan called for improving the city’s competitiveness, producing a well-educated workforce, creating an environment for business growth, and enhancing Philadelphia’s infrastructure. Such efforts will have a familiar ring to Detroiters too.

West Mount Airy: A Gift to Philadelphia from Detroit

The conference began with a tour of Philadelphia’s West Mount Airy neighborhood, one of the nation’s first intentionally racially integrated neighborhoods. The effort to preserve racial diversity within West Mount Airy was led by West Mount Airy Neighbors (WMAN). WMAN was founded in 1959 to deal specifically with the issue of racial integration. (9) One of the founders of WMAN was George Schermer, who tried to organize a similar effort in Detroit before coming to Philadelphia.

After Detroit’s 1943 Belle Isle uprising, Mayor Edward Jeffries formed an Interracial Commission and appointed Schermer as its director. (10) In the early 1950s, Schermer lobbied for an integrated housing development in Detroit’s west side. The development was to be called Schoolcraft Gardens. The Schoolcraft Gardens development attracted private funding and the United Auto Workers (UAW) as a partner. (11) Unfortunately, multiple forces prevented the integrated development from taking shape. First, the neighboring, all-white Tel-Craft homeowners association opposed the Schoolcraft Gardens development. Also, later on, a different Detroit mayor, Mayor Alfred Cobo, vetoed the approval of the development project. Soon afterward, the Interracial Commission was dissolved and replaced by the Commission on Community Relations, whose members would be appointed and could be removed without cause by the mayor. (12) Not surprisingly, when the City of Philadelphia offered Schermer the opportunity to head its newly created Commission on Human Relations, Schermer left Detroit. (13)

Under Schermer’s leadership, WMAN fought housing and education policies that advocated for segregation. WMAN and the neighborhood itself consisted of high-achieving, well-educated, progressively minded people, who were the demographic they looked to attract to the neighborhood. One might argue this allowed integration to work, whereas Detroit saw comparatively less educated groups across different races compete for similar jobs and economic standing, putting the groups at odds with each other.

Impressively, the commitment to diversity in West Mount Airy remains strong. Since 1980, at least 40% of West Mount Airy’s residents have been African Americans. (14) According to Sarah Zelner, who presented background information about West Mount Airy during the conference tour, the neighborhood has a strong LGBTQ presence, in addition to being diverse in terms of race and education. Efforts to maintain the neighborhood’s diversity and affirm its commitment to open dialogue include the long-running Mt. Airy youth baseball league and, more recently, monthly conversations about racial issues. In the evening of the day of the tour, the neighborhood’s main thoroughfare shut down and turned into a street fair that showcased West Mount Airy’s diverse restaurant community.

All that said, the neighborhood isn’t without its challenges. Between 1950 and 2010, West Mount Airy lost around half of its population. This loss in population has impacted the dynamics of the neighborhood in many ways, especially in terms of its educational offerings. The high school located in West Mount Airy closed in 2013—a direct result of the population loss, as well as more-affluent students enrolling in private schools in other neighborhoods. In addition, while the overall racial diversity of West Mount Airy has been maintained, African Americans have been clustering closer to the East Mount Airy and East Germantown neighborhoods, which are both predominantly black. (15) While traveling through the area, I noticed a contrast between West Mount Airy with its homes constructed of stone native to the area and East Mount Airy with housing stock of relatively poorer quality. To combat population loss and preserve the neighborhood’s identity, West Mount Airy is trying to attract more immigrants, highlighting the neighborhood’s cultural history and mixed small business community as selling points.

Gifts in Return from Philadelphia? Possible Lessons for Detroit

The background material I read on Philadelphia’s West Mount Airy neighborhood discussed housing density (as measured, for example, by homes per city block) and its correlation with racial integration. The material cited multiple studies that suggested lower housing density is more amenable to achieving greater racial diversity. (16) This might be one lesson from Philadelphia’s experiences that Detroit might want to apply as it remakes itself. The Motor City is seeking to create dense and diverse population centers within its borders, as it once had decades ago. Part of this goal is being achieved by removing blight. But as neighborhoods are reorganized, city officials may want to keep in mind how racial integration was achieved in Philadelphia and not make the housing density of newly configured neighborhoods too high. Striking the right balance between population and housing density to achieve better racial integration and higher-level services for all citizens than at present will be a challenge, but Detroit can look to some of Philadelphia’s neighborhoods for some examples to follow.

Widening the focus back to the entire city, I think the topic of city residents’ tax burdens should be explored in greater depth. As mentioned previously during my review of background material on Philadelphia and as discussed somewhat during the conference, Philadelphia has reformed its tax system in order to have the tax burden of its citizens be more similar to that of residents in the surrounding suburbs. This is yet another lesson Detroit officials might learn from Philadelphia in order to draw more people to reside within its borders. Indeed, Detroit may want to look to reform its tax system as well. When studying the tax burdens of the largest city in each state and Washington, DC, (17) the total tax payments expected from Detroiters as a percentage of their income rank in the top five. (18) When breaking down tax payments by category, Detroiters’ income tax burden ranks near the top for families making $50,000 or more, and their property tax burden is the highest among the states’ largest cities and Washington, DC. (19) While Detroiters’ sales, use, and gasoline tax burdens rank relatively low, significantly high auto insurance premiums more than make up for it. Detroiters pay more than twice as much as the next city (New Orleans) and over three and a half times more than Philadelphia, which ranks tenth. (20) Current Detroit Mayor Mike Duggan has proposed legislation that would create an auto insurance product specific to Detroit, though this proposal has its critics. (21)

Following what initiatives are and aren’t working in other cities and informing city officials and stakeholders about the results of those different initiatives is important to Detroit’s rebound. This is one of the main reasons why I attended this year’s Reinventing Our Communities Conference. The Detroit Branch of the Federal Reserve Bank of Chicago serves the function as information gatherer for the mayor’s Post-Bankruptcy Working Group, as well as the city’s group that works on affordable housing efforts. Efforts to strengthen communities in Detroit and elsewhere through philanthropic, private, and public partnerships have become more widespread in recent years. The Federal Reserve—especially the Detroit Branch of the Federal Reserve Bank of Chicago—has played a major role in bringing different types of organizations together generate solutions that will benefit those communities for years to come.

Read my next blog entry to get more details on the conference panels that I participated in.

References
(1) See p. 3 of http://economyleague.org/uploads/files/783716581668902685-the-sterling-act-a-brief-history.pdf
(2) Ibid.
(3) See p. 5 of https://www.philadelphiafed.org/-/media/research-and-data/publications/business-review/1992/brso92rl.pdf?la=en.
(4) See p. 1 of http://www.picapa.org/docs/SRFYP/SRFYP_FY16FY20.pdf.
(5) See http://www.nytimes.com/1994/05/22/magazine/mayor-on-a-roll-ed-rendell.html.
(6) See p. 31 of http://www.philadelphiafed.org/research-and-data/publications/business-review/2003/q2/brq203ri.pdf.
(7) See p. 27 of http://www.philadelphiafed.org/research-and-data/publications/business-review/2003/q2/brq203ri.pdf.
(8) See p. 15 of http://www.centercityphila.org/docs/CCR14_employment.pdf.
(9) See p. 42 of Barbara Ferma, Theresa Singleton, and Don DeMarco, 1998, “Chapter 3: West Mount Airy,” Cityscape: A Journal of Policy Development and Research, Vol. 4, No. 2, pp. 29–59, https://www.huduser.gov/Periodicals/CITYSCPE/VOL4NUM2/ch3.pdf
(10) See p. 1 of https://libdigital.temple.edu/pdfa1/Oral%20Histories/AOHWMPJZ2015030001Q01.pdf.
(11) See p. 76 of Lloyd D. Buss, 2008, “Chapter 2: City Influences Religion’s Response,” The Church and The City: Detroit’s Open Housing Movement, University of Michigan, PhD dissertation, https://deepblue.lib.umich.edu/bitstream/handle/2027.42/61748/ldbuss_1.pdf?sequence=1&isAllowed=y.
(12) See Buss (2008, p. 77).
(13) See Ferma, Singleton, and DeMarco (1998, p. 42).
(14) The share of African Americans residing in West Mount Airy was 41% as of the 2010 U.S. Census.
(15) See http://philadelphiaencyclopedia.org/archive/mount-airy-west/.
(16) See Ferma, Singleton, and DeMarco (1998, p. 41).
(17) See pp. 12-21, 24 of http://cfo.dc.gov/sites/default/files/dc/sites/ocfo/publication/attachments/2014%2051City%20Study.final_.pdf.
(18) This ranking does not apply when examining families making less than $50,000 per year. A family is assumed to be made up of two income earners and one school-age child. See p. 13 of http://cfo.dc.gov/sites/default/files/dc/sites/ocfo/publication/attachments/2014%2051City%20Study.final_.pdf.
(19) See pp. 16, 31 of http://cfo.dc.gov/sites/default/files/dc/sites/ocfo/publication/attachments/2014%2051City%20Study.final_.pdf.
(20) See https://www.nerdwallet.com/blog/studies/expensive-cities-car-insurance/.
(21) See http://www.detroitnews.com/story/opinion/2016/03/23/detroit-insurance-cut-rate-policy/82194396/.

How Tight is Michigan’s Labor Market?

By Martin Lavelle

Michigan’s labor market continues to recover from the Great Recession that ran from December 2007 through June 2009 and its own recession that started four years prior to that. Michigan’s unemployment rate peaked at 14.9% in June 2009, coinciding with the end of the Great Recession. Since that time, Michigan’s unemployment rate has dropped steadily, reaching 4.5% in August 2016. The last time Michigan’s unemployment rate was this low was in January 2001, just before the much shorter and milder 2001 recession. (1)

While Michigan’s current labor market expansion isn’t the longest in its history, (2) the fact that the state’s unemployment rate is now lower than that of the nation makes one wonder how much longer it can last. The superior performance of Michigan’s Southeast and Western Michigan Purchasing Managers indexes relative to the U.S. measures and recent indications that auto sales may have plateaued also imply that Michigan’s labor market expansion may be near a turning point. This blog examines some of Michigan’s labor market indicators to assess whether Michigan’s labor market is at or near “full employment.”

Chart: Unemployment Rates, Annual Averages: U.S., Michigan
Analysis
1011-chart-1
Source: Author’s calculations using data from the Bureau of Labor Statistics.

The chart above shows the annual averages of the U.S. and Michigan unemployment rates, respectively. Since 1976, Michigan’s unemployment rate has generally been higher than that of the U.S., especially during the Great Recession and the severe 1981–82 recession. The two instances in which Michigan’s unemployment rate fell below that of the U.S. came during the mid to late 1990s and in recent months. The fluctuation in Michigan’s unemployment rate helps to show the cyclical nature of the state’s economy, driven by the manufacturing sector, specifically the automotive industry. The lows in Michigan’s unemployment rate came during boom times for the automotive industry and the highs came during rough times. Light vehicle sales volumes hit all-time highs last year and are just below those levels year-to-date in 2016. The majority of auto analysts feel that light vehicle sales will continue to slightly fall off of their 2015 highs in the next couple of years. With the automotive industry having peaked, does that mean Michigan’s labor market has peaked as well?

Historically, another sign of a tightening labor market are increasing wages and salaries. The chart below plots the unemployment rate versus workers’ total wage and salary income in the state.

Chart: Annual Wage & Salary Growth vs. Annual Average Unemployment Rate: Michigan
1011-chart-2
Sources: Author’s calculations using data from the Bureau of Economic Analysis and Bureau of Labor Statistics.

Over the past 40 years, changes in wage and salary income have led changes in the unemployment rate. Michigan’s unemployment rate reached its previous low in 2000, a few years after the rate of growth in wage and salary income peaked. Wage and salary income growth in Michigan bottomed out in 2008, the year before Michigan’s unemployment rate peaked. As Michigan’s unemployment rate decreased after the Great Recession, wage and salary income consistently increased, accelerating in the last two years following some slowing in 2012–13. The pace of wage and salary growth edged higher in 2015 versus 2014, signaling further tightening in Michigan’s labor market. Despite the increase in wages and salaries, however, data from the Bureau of Economic Analysis show that per capita income in Michigan remains about 12% below the national average. Since 1980, per capita income in Michigan has typically been lower than in the U.S. as a whole.

When looking at wage pressures by sector, the story becomes more muddled. The chart below examines the year-over-year percentage change in wage pressures in select employment sectors in Michigan.

Chart: Average Hourly Earnings of Michigan Production Employees by Employment Sector, Year/Year Percentage Change, Not Seasonally Adjusted
1011-chart-3
Source: Author’s calculations using data from the Bureau of Labor Statistics.

Michigan’s manufacturing sector, especially the automotive sector, led the state into the recovery it currently enjoys. However, after increasing in 2010, wages started to fall during 2011 and into 2012 as the new labor contract with the United Auto Workers (UAW) that created a lower, 2nd tier of wage ranges took effect. (3) After rebounding in 2013–15, wages are lower thus far in 2016 than in 2015, possibly because of the 2015 UAW contract that created a lower starting point for entry-level full-time workers. (4) Plateauing production volumes as light vehicle sales level off may also be a reason for lower wages in 2016.

Some sectors do support the full employment argument with their accelerations in recent months. Since the latter half of 2015, wages have moved higher in the construction and professional and business sectors, respectively. Labor shortages in building construction and within the engineering and information technology fields of the professional and business services sector have helped to create conditions for higher, more competitive wages. Wage increases have persisted in the retail trade sector since 2013. Competitive pressures from McDonalds and Walmart, as well as legislatively mandated increases in Michigan’s minimum wage, have contributed to higher wages in the retail sector. (5)

When a labor market tightens, it also means workers are increasingly hard to find. One unique characteristic of the current labor market recovery is the elevated level of those working part-time for economic reasons or involuntary part-time workers. The chart below shows what percentage of the labor force is comprised of involuntary part-time workers.

Chart: Part-Time Employment as a Percentage of Labor Force, 4-quarter moving average: U.S., Michigan
1011-chart-4
Sources: Author’s calculations using data from the Bureau of Labor Statistics.

As labor markets expand, the percentage of the labor force that is working part-time falls. In Michigan and the U.S., the percentage of the labor force that is working part-time continues to be higher than during the previous labor market expansion. Interestingly, the difference between the part-time segments of the labor force in Michigan and the U.S. has shrunk after widening in the months leading up to and the year after the conclusion of the Great Recession. Another interesting point is that the gap between Michigan’s current percentage of the labor force that is working part-time and the percentage working part-time in the 2000s is narrower relative to the U.S. This could mean one of two things. One possibility is part-time workers in Michigan are finding increasing success in gaining full-time employment. An alternative possibility is part-time employment was elevated during the 2000s and Michigan’s one-state recession. Therefore, part-time employment as a percentage of the labor force would have been expected to fall since the mid-2000s.

In a tightening labor market, those who found themselves unemployed for a long period of time should find their way back into the workforce. The chart below looks at the percentage of the labor force that was unemployed longer than 15 weeks.

Chart: Unemployed Civilians for longer than 15 weeks as a Percentage of Labor Force, 4-quarter moving average: U.S., Michigan
1011-chart-5
Sources: Author’s calculations using data from the Bureau of Labor Statistics.

Mirroring the previous chart, Michigan had a greater percentage of its labor force unemployed for more than 15 weeks than the U.S., most likely a result of Michigan’s recession in the previous decade. After peaking in the 2nd quarter of 2010, the percentage of Michigan’s labor force unemployed for more than 15 weeks fell and now equals that of the U.S. Are more previously long-term unemployed workers finding work or are they dropping out of the labor force altogether? Looking at the next chart, which shows the labor force participation rates of the U.S. and Michigan, respectively, we see that Michigan has seen a higher net increase off its lows than the U.S.

Chart: Labor Force Participation Rates: U.S., Michigan
1011-chart-6
Source: Haver Analytics/Bureau of Labor Statistics.

Finally, what about discouraged workers? If a labor market is tightening, the number of discouraged workers should be decreasing. The chart below shows discouraged workers as a percentage of the labor force in the U.S. and Michigan, respectively.

Chart: Discouraged Workers as a Percentage of Labor Force, 4-quarter moving average: U.S., Michigan
1011-chart-7
Source: Author’s calculations using data from the Bureau of Labor Statistics.

Again, the same dynamics are in play from 2003 through the end of the Great Recession, with Michigan’s labor market relatively worse off because of its one-state recession. As shown in the previous chart, the gap between Michigan and the U.S. converged and is now all but eliminated. The current percentage of Michigan’s labor force that consists of discouraged workers equals that seen during the mid-2000s, whereas the U.S. hasn’t reached mid-2000s levels yet.

Conclusion
A strong argument can be made that Michigan’s labor market is at full employment. The unemployment rate is currently below that of the U.S. and nearing historical lows. Also, wage and salary growth is at its highest in almost 20 years, labor force participation is off its post-recession lows, and data focused on the marginally attached to the labor force in different ways indicate those numbers are near or at trend. Some anecdotal reports support the argument as well. Multiple firms have instituted significant wage and salary increases in order to keep their most talented employees, while others are giving prospective employees a second look after rejecting their original job inquiry. Finally, with the auto industry operating at peak production levels and historically high sales levels and the state still significantly dependent on the auto industry, Michigan’s robust labor demand growth may be coming to an end.

Footnotes
(1) We are addressing labor market tightness here, not growth rates, not restoration of past levels of labor force size. Out-sized outmigration of working age population in response to the state’s prolonged downturn in the last decade is being held in the background.
(2) Based on BLS data going back to 1976.
(3) See https://www.chicagofed.org/~/media/others/region/midwest-economy/dziczek-dabe-january-2012-pdf.pdf.
(4) See http://www.freep.com/story/money/cars/chrysler/2015/10/22/done-deal-uaw-confirms-ratification-fca-contract/74380230/.
(5) See http://www.mlive.com/lansing-news/index.ssf/2015/12/michigan_minimum_wage_to_incre.html.

Are Businesses Returning to Detroit?

by Martin Lavelle, business economist

Introduction

Detroit’s population fell by almost 50% from its peak of 1.85 million in 1950 (1) to around 950,000 in 2000. Since 2000 (2), Detroit’s population has declined at a faster rate. The U.S. Census Bureau reports that Detroit’s population stood at 680,250 as of 2014 (3). As Detroit’s population migrated elsewhere, so did many of its businesses. How many businesses have left the Motor City since around the turn of the twenty-first century? And are new businesses replacing them in the aftermath of the Great Recession (which ended in mid-2009)?

In this blog entry, I will address these questions by using the County Business Patterns (CBP) data series from the U.S. Census Bureau. The CBP data series provide the number of business establishments (4) by county and zip code. The business establishments reported in the data are sorted by employment size classes. In addition, CBP data sets provide employment and payroll data. CBP data are collected on an annual basis, but with a two-year lag. Here I will analyze business patterns by geography and industry among Detroit zip codes (and elsewhere) between 1998 and 2013.

Analysis

Figure 1 shows a map of Detroit by zip code. The zip codes shown below were used to analyze the change in the number of business establishments in Detroit over the period 1998–2013 (5).

2016 0208 figure 1

Figure 1. Map of Detroit zip codes
Source: Lowell Boileau, available at http://www.atdetroit.net/forum/messages/107211/106465.jpg.

Table 1. Percent change in number of Detroit business establishments, by zip code, 1998–2013
2016 0208 table 1

Source: Author’s calculations based on data from the U.S. Census Bureau, County Business Patterns.

For each Detroit zip code area listed in table 1, I include the prominent neighborhoods and/or landmarks found within it.

Overall, the number of Detroit business establishments decreased 22.3% over the period 1998–2013, according to my calculations using CBP data. As of 2013, the city of Detroit was home to 8,817 business establishments. Approximately one-eighth of these establishments can be found in Downtown Detroit—which saw a similar share of its businesses depart as the city as a whole did over the sample period. Zip code areas that fared relatively better than the city in terms of business retention between 1998 and 2013 contain the Midtown/New Center area along Woodward Avenue, Eastern Market, some areas along East Jefferson Avenue parallel to the Detroit River, and southwest Detroit (including Corktown). These centers of commercial activity are now leading Detroit’s turnaround. Zip code areas that saw a larger percentage of their businesses leave relative to what the city as a whole experienced contain some of Detroit’s struggling neighborhoods—which include East English Village adjacent to Harper Woods and the Grosse Pointes, as well as areas near and around the old Packard plant in Detroit’s eastern industrial corridor (6).

Anyone familiar with Detroit’s narrative will likely be able to give several reasons why its business activity has declined over the past few decades. Besides the outward migration of the residential population, the downsizing and suburbanization of the local manufacturing industry, the deterioration of the city’s talent base as a result of the struggles of the Detroit Public Schools (DPS), government corruption, and the worsening condition of the city’s infrastructure are just some of the contributors to Detroit’s downward trend in business activity.

Given the narrative about Detroit, it is natural to wonder how its recent business losses compare with those of its surrounding areas. Table 2 shows the change in the number of establishments by selected areas in 1998 versus 2013. The national numbers are also given to provide another basis of comparison.

Table 2. Number of business establishments, 1998 versus 2013, and percent change in the number of business establishments, 1998–2013, by selected areas

2016 0208 table 2

Note: MSA stands for metropolitan statistical area; for further details on the Detroit MSA, see http://www.census.gov/population/estimates/metro-city/0312msa.txt.
Source: Author’s calculations based on data from the U.S. Census Bureau, County Business Patterns.

Table 2 shows that despite the 2001 and 2007–09 recessions, the number of business establishments in the nation as a whole increased over the period 1998–2013. However, the number of business establishments declined throughout most of Michigan during this time. Wayne County (including Detroit) and the Detroit metropolitan statistical area (MSA)—encompassing Macomb, Oakland, and Wayne counties—experienced less severe business losses than the city of Detroit. Nearby Washtenaw County, whose county seat is Ann Arbor (7), still saw a slight drop in the number of business establishments over the sample period, but fared much better relative to the city of Detroit.

When examining industry business patterns in the city of Detroit, it is not surprising to find that in percentage terms, manufacturing experienced the greatest loss of businesses over the period 1998–2013. Table 3 shows the change in the number of business establishments by industry during the sample period.

Table 3. Number of business establishments, 1998 versus 2013, and percent change in the number of business establishments, 1998–2013, in the city of Detroit, by industry

2016 0208 table 3

Source: Author’s calculations based on data from the U.S. Census Bureau, County Business Patterns.

One may be somewhat surprised by which subsectors of manufacturing experienced the greatest losses of business establishments (not shown). When analyzing the business pattern data by NAICS (8) code, I found that transportation equipment manufacturing—which includes motor vehicle and parts manufacturing—experienced a sizable drop in the number of establishments (41.5%); but this decline wasn’t the largest one. The manufacturing subsector that experienced the largest decline in establishments in percentage terms was printing and related support activities (–75.3%), followed by machinery manufacturing (–69.9%) (9). When just looking at the raw numbers of business losses among the manufacturing subsectors, I found that fabricated metal product manufacturing experienced the greatest losses: this subsector lost 86 establishments from 1998 through 2013 (almost a 50% contraction). Of the 26 zip codes I analyzed, 17 of them saw greater-than-50-percent declines in the number of manufacturing establishments.

Conclusion

During the 1998–2013 period, the city of Detroit lost business establishments every year. Detroit lost a higher percentage of establishments than its surrounding areas, the state of Michigan, and the United States. The most significant sectorial losses of businesses were from the goods-based side of the economy—most notably, from manufacturing. While the most severe manufacturing losses weren’t from direct transportation equipment manufacturing, they were in complementary industries, such as fabricated metal manufacturing, machinery manufacturing, and printing activities. Geographically speaking, establishments close to Detroit’s border with the Grosse Pointes and those around the former Packard automobile assembly plant shut down in greater proportions than those in other parts of the city.

Because the most recent data available are 2013 data, I am unable to provide any definitive insight into any possible changes in the trend of establishments leaving Detroit since the city exited bankruptcy in late 2014. By many anecdotal accounts, numerous new establishments have settled in the Downtown, Midtown, Corktown, and other select neighborhoods where the most significant public and private investment has occurred of late. As we receive more and newer data, it will be interesting to see whether new business establishments are sprouting up elsewhere in Detroit. Will business (and public) investment in Detroit remain concentrated in its high-activity areas or begin to noticeably branch out to the city’s relatively less active neighborhoods?

(1) See http://www.nytimes.com/interactive/2013/08/17/us/detroit-decline.html
(2) See http://censusviewer.com/city/MI/Detroit
(3) See http://www.freep.com/story/news/local/michigan/2015/05/21/census-estimates-michigan/27661485/
(4) See https://ask.census.gov/faq.php?id=5000&faqId=487 for what is considered a business establishment versus a business firm. In this blog entry, businesses refer to business establishments.
(5)Please note, however, that the 48203 zip code area also includes the city of Highland Park and the 48212 zip code area also includes the city of Hamtramck. The 48239 zip code area lies predominantly outside the city of Detroit, so it wasn’t included in the analysis.
(6) See http://archive.freep.com/interactive/article/20121202/NEWS01/120823062/The-Packard-Plant-Then-now-interactive-comparison-photos.
(7) See http://www.annarborusa.org/live-here/facts-rankings
(8) NAICS stands for North American Industry Classification System. For more details, see http://www.census.gov/eos/www/naics/ and http://www.bls.gov/bls/naics.htm.
(9) I only considered manufacturing subsectors with more than 50 establishments in 1998.

Is the buzz surrounding STEM justified?

By Martin Lavelle

STEM is an acronym that stands for science, technology, engineering, and math. It is associated with education and is often mentioned in tandem with policymakers’ desire to increase the number of graduates in STEM-related occupations and fields. In recent years, the campaign to increase the number of STEM graduates has become more aggressive—even the White House has shown deep interest in producing more of them /1.

STEM education has received such attention because many contend that the U.S. economy will need more STEM experts as time progresses and the economy evolves /2. Moreover, STEM has received greater notice of late because it is believed that the analytical and technical skills required to work in a STEM-related field provide opportunities for workers to merit higher wages and salaries than those who work in non-STEM-related fields.

In this blog entry, I will compare STEM-related versus non-STEM-related employment and wages in Michigan, the neighboring states of Indiana and Ohio, and the U.S. as a whole over the period 2003–13. This period was chosen because it captures Michigan’s one-state recession that lasted from 2003 through 2009, the nation’s Great Recession (which lasted from the end of 2007 through mid-2009), and the subsequent recovery from them /3. The data come from the U.S. the Bureau of Labor Statistics’ (BLS) Occupational Employment Statistics (OES) database /4. The criteria to define STEM- and non-STEM-related occupations were taken from the U.S. Census Bureau /5. All calculations were done using the annual May releases of the OES data by state /6.

Employment

Over the period 2003–13, Michigan’s total employment fell by 7.8%, according to the state’s OES data. After splitting up the period into recessionary (2003–09) and post-recessionary (2009–13) periods, one can see that employment decreased by 10.2% during Michigan’s one-state recession but rebounded afterward, going up by 2.7%. By separating STEM- and non-STEM-related employment growth, one will note that STEM employment grew at a faster pace. Figure 1 shows employment in STEM-related fields increased (on net) by 9.7% in Michigan during the 2003–13 period. In sharp contrast, employment in non-STEM-related fields decreased (on net) by 10.1% in Michigan over that span.

Figure 1: STEM- versus non-STEM-related employment growth in Michigan, 2003–13
Figure 1Note: 2003=100.
Source: Author’s calculations based on data from the U.S. Bureau of Labor Statistics, Occupational Employment Statistics database, available at www.bls.gov/oes/tables.htm.

Michigan’s STEM employment growth is striking when compared with the STEM employment growth of its neighbors Indiana and Ohio, as well as the nation as a whole. Figure 2 compares STEM employment growth in these three Midwest states and the U.S. In 2003–09, STEM employment (on net) increased just under or moderately above 10% in Indiana, Ohio, and the U.S., while Michigan STEM employment decreased slightly. Since 2009, Michigan’s STEM employment growth increased at a faster rate than that of Ohio and the U.S., but at a slower rate than that of Indiana.

Figure 2: STEM employment growth in Michigan, Indiana, Ohio, and U.S., 2003–13
Figure 2Note: 2003=100.
Sources: Author’s calculations based on data from Haver Analytics and the U.S. Bureau of Labor Statistics, Occupational Employment Statistics database, available at www.bls.gov/oes/tables.htm.

During 2003–13, the percentage of workers in STEM-related fields as a share of total Michigan employment increased from 11.4% to 13.6%. Remarkably, STEM-related employment grew as a share of total employment in Michigan during a period when the state’s overall employment decreased. Similar increases in the proportion of STEM employment were seen in Indiana, Ohio, and the U.S. The areas listed in table 1 experienced a 1.5 to 2 percentage point increase in their respective shares of STEM-related employment.

Table 1: STEM-related employment as a share of total nonfarm employment in U.S., Michigan, Indiana, and Ohio
Table 1Sources: Author’s calculations based on data from Haver Analytics and the U.S. Bureau of Labor Statistics, Occupational Employment Statistics database, available at www.bls.gov/oes/tables.htm.

Using 2013 data from the final column of table 1, I determine that Michigan’s total work force is 13% more concentrated in STEM occupations than the nation’s by calculating Michigan’s STEM location quotient (see third column, last row of table 2). Comparing the composition of Michigan’s STEM workers with that of the nation’s helps explain this difference in concentration. To a large degree, the higher concentration in STEM employment among Michigan’s work force is due to the state’s much higher concentration of jobs in architectural and engineering occupations relative to the nation’s: The state’s STEM work force is 48% more concentrated in this occupational category than that of the nation when calculating the category’s STEM location quotient /7. In contrast, Michigan’s concentrations of employment in life, physical, and social sciences occupations and computer and mathematical occupations are moderately lower than the nation’s.

Table 2: Distribution and concentration of STEM workers by occupational category in Michigan and U.S., 2013
Table 2Notes: For all but the last row, Michigan Location Quotient = ((MI STEM category employment/MI Total STEM employment)/(U.S. STEM category employment/U.S. Total STEM employment)). For the last row, Michigan Location Quotient = ((MI Total STEM employment/MI Total nonfarm employment)/(U.S. Total STEM employment/U.S. Total nonfarm employment)).
Sources: Author’s calculations based on data from Haver Analytics and the U.S. Bureau of Labor Statistics, Occupational Employment Statistics database, available at www.bls.gov/oes/tables.htm.

Wages and income

In order to compare the wages of STEM- and non-STEM-related occupations, I divided each occupation’s STEM (or non-STEM) employment level by the total STEM (or non-STEM) employment level, calculating each occupational category’s weight. I took that weight, multiplied it by the occupation’s annual median income, and then deflated that with the Personal Consumption Expenditures Price Index from the U.S. Bureau of Economic Analysis /8. Using the weighted averages, I determine the average real annual median wage for a STEM-related occupation in Michigan barely increased during 2003–13. Meanwhile, the average annual median wage for a non-STEM-related occupation decreased 5.5% over that span. Figure 4 below depicts two noteworthy trends. First, the average annual median wage of a worker in a STEM-related field increased at a faster rate during Michigan’s one-state recession (2003 through 2009) than during the Great Recession (end of 2007 through mid-2009). After 2009, annual median wages of all workers, in STEM or non-STEM occupations, remained below 2009 levels.

Figure 3: STEM- versus non-STEM- related real average annual median wage growth in Michigan, 2003–13
Figure 3Note: 2003=100.
Source: Author’s calculations based on data from the U.S. Bureau of Labor Statistics, Occupational Employment Statistics database, available at www.bls.gov/oes/tables.htm.

Annual median incomes for STEM-related occupations in Michigan increased at a slower rate relative to those for STEM-related occupations across the entire U.S. during 2003–13, as figure 4 shows. The nation’s STEM-related occupational incomes continued to grow through the end of the national recession, while Michigan’s STEM-related occupational incomes fell during 2007–12 but then rebounded slightly in 2013. Michigan’s STEM-related real income growth performed similarly to Ohio’s, especially from mid-2009 onward; however, it performed worse than Indiana’s STEM-related real income growth over the period of study.

Figure 4: STEM real annual median income growth in Michigan, Indiana, Ohio, and U.S., 2003–13
Figure 4Note: 2003=100.
Source: Author’s calculations based on data from the U.S. Bureau of Labor Statistics, Occupational Employment Statistics database, available at www.bls.gov/oes/tables.htm.

Conclusion

Most of Michigan’s employment gains since the end of the Great Recession have come in STEM-related occupations. However, real wage growth for STEM jobs has not rebounded very quickly since mid-2009. Meanwhile, non-STEM-related employment only started rebounding in 2012. Notable decreases in employment for specific occupations (chosen based on size) over the 2003–13 period include those in production (–20.0%), transportation and material moving (–21.8%), and construction and extraction (–38.6%), all of these being non-STEM-related fields.

The data on real wages by occupation, especially for those in STEM-related fields, are quite surprising when viewed more closely. Over the period 2003–13, annual real wages fell for computer and mathematical occupations, veterinarians, electrical engineers, and general pediatricians. But significant real wage gains were made in occupations such as chemical engineers, survey researchers, family and general medical practitioners, and physicists.

If forecasts for STEM job growth come to fruition, STEM-related fields will make up an increasingly larger percentage of total employment /9. Most likely this will not be the result of just higher employment levels for STEM-related occupations as currently defined. Rather, a greater number of occupations that are not presently regarded as being affiliated with STEM may adopt STEM-based applications over time, also boosting the share of STEM-related employment. Regardless of what may happen in the future, it’s clear that Michigan workers with expertise in a STEM-related field were well served by it during 2003–13—a period that saw great volatility in Michigan’s economy.

—————————————————

1. See www.ed.gov/stem
2. See www.stemdcoalition.org/wp-content/uploads/2013/10/fact-Sheet-STEM-Education-Good-Jobs-and-American-Competitiveness-June-2013.pdf.
3. For more on the Great Recession, see www.cbpp.org/cms/index.cfm?fa=view&id=3252.
4. See www.bls.gov/oes/.
5. See www.census.gov/people/io/files/STEM-Census-2010-occ-code-list-xls.
6. See www.bls.gov/oes/tables.htm.
7. By inference, this sharp engineering concentration is not surprising given that much of the state’s research and development strengths can be found in the automotive industries (see http://michiganeconomy.chicagofedblogs.org/?p=561).
8. See www.stlouisfed.org/publications/re/articles/?id=2390.
9. See Posted in Employment, Michigan's Economy, Midwest Economy