What Deindustrialization Actually Looks Like

Why It Matters

When economists talk about the gains from trade and the costs of job losses, they tend to measure in GDP, wages, and employment rates. These are real measures. But they miss something important: what happens to a place, and the people in it, when the economy that organized their lives disappears.

Youngstown, Ohio, was not just a collection of factories. It was a city built around those factories — the unions that organized the workers, the churches those workers attended, the schools their children went to, the bars and diners and hardware stores that served them, the civic institutions they funded with their labor and their taxes. When the mills closed in what locals call “Black Monday” (September 19, 1977, when Youngstown Sheet and Tube announced it was closing its Campbell Works), all of that was threatened simultaneously.

The human consequences extend well beyond unemployment. Economist Angus Deaton and his research partner Anne Case documented what they called “deaths of despair” — deaths from drug overdoses, alcohol-related liver disease, and suicide — rising sharply among non-college white working-class Americans starting in the 1990s. The geography of these deaths overlaps heavily with the geography of deindustrialization. This is not a claim that economics caused these deaths directly. It is a claim that the destruction of communities, livelihoods, and the sense of a viable future contributed to a kind of social breakdown that showed up in mortality statistics.

Not every deindustrialized city stayed down. Pittsburgh also lost its steel industry but rebuilt around healthcare, universities, and technology over several decades. Understanding what made Pittsburgh’s transition possible — and why most deindustrialized cities could not replicate it — is part of honest reckoning with what economic disruption actually requires.

A Story

Three Generations in a Changing City

Raymond Kowalski arrived in Youngstown, Ohio, in 1948, twenty-two years old, from rural Pennsylvania. He had heard that the mills were hiring. He got a job at Republic Steel. He was on the floor pouring metal within two weeks. The work was brutal — the heat was oppressive, the noise was constant, and the danger was real. Three men died in his mill during his first decade. But the pay was $4.50 an hour in 1952, which rose to $10 an hour by 1968. He bought a house on the east side. His wife, Irena, raised their three children. Raymond retired in 1977 at 51 with a pension. He had not finished high school, and he retired comfortably.

His son Daniel grew up watching his father go to work at the mill and come home tired, but secure. Daniel started at Youngstown Sheet and Tube as an electrician’s helper in 1973. He made $9 an hour. He married a woman named Carol, who worked at the phone company. In 1974 they bought a house two miles from his parents.

On September 19, 1977 — which the city would call Black Monday — Youngstown Sheet and Tube announced it was shutting down its Campbell Works. Five thousand people lost their jobs in a single announcement. Over the following four years, every major steel facility in the Youngstown area closed. By 1981, the region had lost 50,000 manufacturing jobs.

Daniel was laid off in 1979. He was 29. Carol was pregnant with their second child. His union provided limited benefits and job retraining assistance. He went through a state program to retrain as an HVAC technician, which took eight months. He found work, but the pay was $6.50 an hour — less than a third of what he had been making. Carol kept working at the phone company until it was automated and she was laid off in 1991.

Their daughter, Melissa, grew up in a household where money was genuinely tight. The house her parents had bought with confidence in 1974 was worth roughly 40 percent less in 1985 than when they bought it, as Youngstown’s population and tax base collapsed. The neighborhood deteriorated. Some families left. Some houses were abandoned. A small number were eventually demolished by the city.

Melissa was a good student. She got into Youngstown State on a partial scholarship and became a nurse. She left Youngstown after graduation and moved to Columbus. She has not lived in Youngstown since 1998. She comes back for holidays. She says she loves the city but could not make a life there.

Daniel and Carol still live in the house they bought in 1974. Their neighborhood looks different now. Two houses on their block are vacant lots. The diner where Daniel used to eat breakfast before his mill shift closed in 1983. The Polish Catholic church two blocks away merged with another parish and then closed in 2014. The union hall is gone. Daniel’s health has not been good since his late fifties. He has had two hospitalizations related to respiratory issues — a legacy, he believes, of his years in the mill.

Raymond, the grandfather, died in 2002, at 76, in the same house he bought in 1960. His pension from Republic Steel survived, though the company was eventually acquired in bankruptcy. He died before the opioid crisis reshaped what remained of his neighborhood. Daniel says his father was lucky in that particular way.

Youngstown’s population is now about 60,000 — down from 170,000 in 1930, and from about 140,000 when Raymond arrived in 1948. It has the highest poverty rate of any US city of its size. The city has tried many things: urban farming programs, art installations in vacant buildings, a strategy called the “Shrinking Cities” model that accepts population decline and focuses on making the remaining city livable. These efforts are real and worth knowing about. But they have not replaced the economy the mills once supported.

Vocabulary

Deindustrialization

The long-term decline or closure of manufacturing industry in a region, often resulting in population loss, falling property values, and collapse of related businesses and services.

Rust Belt

An informal name for the manufacturing region of the northeastern and midwestern United States — including Ohio, Michigan, Pennsylvania, Indiana, and others — that experienced severe deindustrialization from the 1970s onward.

Deaths of despair

A term coined by economists Angus Deaton and Anne Case for deaths from drug overdoses, alcohol-related liver disease, and suicide, which rose sharply among non-college white working-class Americans from the 1990s onward and correlate geographically with deindustrialization.

Brain drain

The migration of educated and skilled people away from a declining region in search of better opportunities elsewhere. Brain drain compounds the difficulty of economic recovery because the people most capable of rebuilding tend to leave.

Multiplier effect

When one job or business supports multiple other jobs in a community. A factory employing 500 people typically supports additional jobs in nearby businesses, services, and suppliers. When the factory closes, all of those connected jobs are also threatened.

Civic infrastructure

The non-governmental institutions that support community life: churches, union halls, voluntary associations, neighborhood organizations, local businesses. These tend to weaken when the economic foundation of a community collapses.

Guided Teaching

Let’s trace the full chain of what happens to a community when its major employer closes. The economic textbook says that displaced workers will find new jobs in growing sectors. The reality is more complicated and takes much longer.

The immediate ripple: the multiplier effect in reverse. When a factory employing 5,000 workers closes, the damage is not limited to those 5,000 jobs. Each factory worker supported local spending at restaurants, stores, and service businesses. Estimates suggest that every manufacturing job supports two to three additional local jobs. So 5,000 direct job losses may mean 10,000 to 15,000 total local job losses as the local economy contracts. Tax revenues to the city fall. Services are cut. School funding drops.

The housing cascade. As workers leave or lose income, demand for housing falls. Home values drop. Families who bought homes with confidence find their main asset is now worth less than their mortgage. Some walk away. Vacant properties increase. Vandalism and crime follow. Property taxes — the main source of school funding — collapse further. The city may find itself unable to maintain basic services.

Ask: if the house your family bought is now worth 40 percent less than you paid, and the neighborhood around you is declining, what are your options? Can everyone leave? What happens to the people who can’t?

The civic institutions fail. Unions lose members and dues revenue and eventually close. Churches lose congregants who moved away. Voluntary associations — service clubs, community organizations — lose participants and funding. The social fabric that held the community together weakens. This is not a minor side effect. These institutions provided meaning, community, mutual support, and a sense of continuity. Their loss is experienced by residents as more than economic decline.

Brain drain makes recovery harder. The people who leave first — because they are young, mobile, and have marketable skills — are often the people who would be most useful in rebuilding. Melissa, the nurse in the story, did not stay in Youngstown. She could not afford to, professionally. This is rational at the individual level and devastating at the community level. Communities that are already declining lose the people best positioned to arrest the decline.

The opioid crisis is part of this story, not a separate story. Deaton and Case’s research showed that deaths of despair began rising in areas with stagnant or declining wages and employment for non-college workers, roughly from the mid-1990s onward. The geography is not coincidental. Communities that lost their economic foundation experienced a rise in drug use, alcoholism, and suicide that cannot be explained purely by individual failures. Social conditions shaped individual outcomes.

What successful transition looks like — and why it is hard. Pittsburgh also lost its steel industry in the 1980s, but its story is different. Pittsburgh had Carnegie Mellon University and the University of Pittsburgh, which provided an educated workforce and generated research spin-offs. It had a more diversified economic base. It had civic leaders and foundations that invested in transition. It transitioned into healthcare, education, and technology. Today Pittsburgh’s economy is stronger than it was in 1980.

But Pittsburgh’s success does not transfer easily. Not every deindustrialized city has research universities. Not every city has the civic capital Pittsburgh had. And Pittsburgh’s recovery took thirty years. For the workers who lost their jobs in the 1980s, saying ‘Pittsburgh recovered by 2010’ is not very comforting. The recovery happened, in many cases, for their children and grandchildren, not for them. Honest economic analysis holds both facts: recovery is possible, and it is not fast enough to help many of the people who bear the initial cost.

For Discussion

1. 1.What is the multiplier effect, and how does it mean that closing one factory affects far more than just the factory workers?
2. 2.In the Kowalski story, what did each generation have, and what did each generation lose? How does the story show that deindustrialization affects people differently at different life stages?
3. 3.What is “brain drain,” and why does it make recovery harder for a declining community?
4. 4.Researchers found that “deaths of despair” rose in deindustrialized regions. Does that mean the economy caused those deaths? How do you think about the relationship between economic conditions and individual choices?
5. 5.Pittsburgh transitioned away from steel more successfully than Youngstown. What advantages did Pittsburgh have? Are those advantages something cities can develop, or do you have to already have them?
6. 6.If someone from a deindustrialized town tells you they are angry about trade policy, what do you think they are right about? What might they be missing?
7. 7.When we say Youngstown’s population declined from 170,000 to 60,000, what does that mean for the people who stayed? Is the story only about the people who left?

Practice

Mapping Deindustrialization

1. 1.Pick one Rust Belt city that experienced significant deindustrialization: Youngstown, Ohio; Gary, Indiana; Flint, Michigan; Camden, New Jersey; or another city your parent suggests.
2. 2.Research its peak population, its current population, and the major industry that collapsed. Find out approximately when the main industry declined.
3. 3.Find the current poverty rate and median household income and compare them to state and national averages.
4. 4.Look for one account of what residents or community leaders have tried to do to rebuild the city’s economy. What has worked, if anything?
5. 5.Write a short summary — one page or less — that describes what happened to this specific city and what you think the honest lessons are. Share with a parent and discuss.

Memory Questions

1. 1.What happened to Youngstown, Ohio, and approximately when?
2. 2.What is the multiplier effect, and why does it make manufacturing job losses larger than the direct count?
3. 3.What are “deaths of despair,” and which researchers documented them?
4. 4.What is brain drain, and why does it compound the difficulty of recovery?
5. 5.What did Pittsburgh do differently that allowed a more successful transition?
6. 6.What is the current approximate population of Youngstown compared to its peak?