Urbanicity Research / Demography

People, Ages and Arrivals

How a nation of 9.6 million young farmers became 340 million older, mostly urban people: the counts, the ages, the newcomers and where they came from, and the long argument about whether more people means less to go around.

Bradenton, FL · Urbanicity Research · teaching explainer
Section 1

Population and median age, 1820–2024

Median age is the age that splits a population in half. In 1820 half of all Americans were younger than 17: a country of children, with large families on cheap land. By 2024 the median was 39. Two things push it up: fewer births per woman, and longer lives. One thing pulled it down for a while: the baby boom of 1946–64, visible as the dip from 30.2 in 1950 to 28.1 in 1970.

What median age signals: a young median means many dependents per worker, cheap labor ahead, and demand for schools. An old median means more retirees per worker, pressure on pensions and health care, and, for cities, demand for smaller homes, elevators and transit. The towers that rise downtown after 2000 are partly a median-age story: older and childless households choose apartments.

Go deeper

Lessons: E22.1 The pyramidPreview E22.3 Why do birth rates fall?Preview E22.4 The momentum effectPreview

Drawer: People, Ages and Arrivals: Births or Boats?

Supplement: U.S. Census Bureau: population estimates

Section 2

Births or boats? When immigration drove growth

A population grows two ways: natural increase (births minus deaths) and net migration (arrivals minus departures). For most of American history natural increase did most of the work. The table divides each decade's recorded arrivals by that decade's growth. It is an upper bound: many arrivals went home again (perhaps a third of Italians and Greeks before 1914), so the net share was lower.

DecadeGrowth (M)Arrivals (M)Arrivals ÷ growth
1820s3.230.134%
1830s4.200.5413%
1840s6.121.4323%
1850s8.252.8134%
1860s7.122.0829%
1870s11.632.7424%
1880s12.795.2541%
1890s13.233.6928%
1900s16.028.2051%
1910s13.796.3546%
1920s17.184.3025%
1930s8.960.708%
1940s19.170.864%
1950s27.992.509%
1960s23.893.2113%
1970s23.344.2518%
1980s22.166.2428%
1990s32.719.7830%
2000s27.3310.3038%
2010s22.7010.5546%

The peaks. The 1880s and the 1900s are the classic immigration decades: arrivals equal to roughly 40–50% of growth. The 1930s are the opposite: Depression and the 1924 quota law cut arrivals to almost nothing. The 1990s–2010s rise again to a third or more of growth as births fall.

The new turn. Since 2021 the Census Bureau's annual estimates show net international migration larger than natural increase, the first sustained stretch of that kind in the modern series. Births barely outnumber deaths in an aging country, so migration now decides whether the nation grows at all.

YearNatural increaseNet migrationEstimate
2021148k376kVintage 2021
2022245k1,010kVintage 2022
2024519k2,786kVintage 2024

Vintages are revised; later releases change earlier years (2024 used a new migration method).

Go deeper

Lessons: E22.2 The transition's stagesPreview E22.5 The projection testPreview APHG 2 The transition machinePreview

Supplement: U.S. Census Bureau: components of population change

Section 3

Arrivals by decade and the foreign-born share

Bars show people granted permanent residence each decade. The line shows the share of residents born abroad. Notice the gap: the share peaked near 15% in 1890 and 1910, fell to 4.7% by 1970 after four decades of restriction, and has climbed back to about 14% today, close to the old record.

Section 4

Where they came from: eight marquee years

Each pie shows the origins of that year's arrivals. Read them left to right as a relay: Ireland and Britain hand off to Germany, then to southern and eastern Europe, then, after the 1965 Hart-Celler Act ended national-origin quotas, to Latin America and Asia. The 2025 pie uses the latest published yearbook (FY2023).

1820

8,385 arrivals

1870

387,000

1890

455,000

1910

1,042,000

1950

249,000

1975

386,000

1995

720,000

2025

1,173,000 (FY2023, latest yearbook)

Approx.: shares are rounded from DHS Yearbook Table 2 (country or region of last residence); verify before print.

Go deeper

Lessons: AM4.33 The Immigrant Ledger: read the sourcePreview AM4.34 The Immigrant Ledger: map it / time itPreview AM4.35 The Immigrant Ledger: two sources disagreePreview

Supplement: DHS Yearbook of Immigration Statistics

Section 5

City and country: flows in and out

In 1820 about seven Americans in a hundred lived in a town of 2,500 or more. By 2020 it was eighty. The pies show the urban share at the same marquee dates.

1820

7.2% urban

1870

25.7% urban

1890

35.1% urban

1910

45.6% urban

1950

64.0% urban

1975

73.7% urban

1995

77.0% urban

2025

80.0% urban

Urban is defined as the Census of each year defined it (changed in 1950 and 2020); 1975 and 1995 are read from the neighboring censuses; 2025 shows 2020.

The great flows

Farm to factory

1870–1920. Mechanized farming needed fewer hands; mills and offices needed more. Rural children and European immigrants met in the same industrial cities. Incomes: a factory wage beat farm labor, but rents and disease were city costs.

The Great Migration

1910–1970. About six million Black Southerners left the rural South for Chicago, Detroit, New York, Philadelphia, Los Angeles and Oakland. Wages roughly doubled for many movers; segregation and redlining shaped where they could live.

Suburbanization

1945–2000. Highways, mortgage insurance and the baby boom moved middle-income white families out of central cities. Suburbs held about a quarter of Americans in 1950 and about half by 2000. Central cities kept the poorest and the richest.

Back to the country?

The 1970s “rural rebound,” and again after 2020 with remote work, rural counties gained people by migration. Rural America is older (median age in the low 40s, against the high 30s in cities) and earns less: rural household incomes run roughly a fifth to a quarter below metro incomes.

Back to downtown

Since about 2000, young graduates and empty-nesters have returned to central business districts, raising residential towers where offices once stood. Small households, high incomes, few children: a demographic recipe for vertical living.

Go deeper

Lessons: SO1.17 Park, Burgess and the concentric zonesPreview AM4.42 The Immigrant Ledger: now, todayPreview

Supplements: U.S. Census Bureau: urban and rural · USDA ERS: rural economy and population · City growth models (companion page)

Section 6

The great debates: more people, less to go around?

Every theory here answers one question: does population growth exhaust resources, or does it produce the ideas that stretch them? Read them as a running argument across two centuries.

pessimist

Thomas Malthus

An Essay on the Principle of Population, 1798

Population grows geometrically, food arithmetically. Unless people marry late and have fewer children, famine, disease and war will hold numbers down.

  • Right about pre-industrial Europe, where wages fell when population rose.
  • Wrong about what came next: the Industrial Revolution let output outrun births.
optimist

Ester Boserup

The Conditions of Agricultural Growth, 1965

Malthus backwards: population pressure causes farming to intensify. Crowding pushes people from fallow fields to multiple cropping, irrigation and plows.

  • Necessity drives invention; density is a cause, not only a result.
  • Critics: intensification can mean more work for the same food per person.
model

Demographic transition

Warren Thompson 1929 · Frank Notestein 1945

Societies move through four stages: high births and deaths; falling deaths with high births (boom); falling births; low births and deaths. The US passed through all four.

  • Explains the rising median age in Section 1.
  • A fifth stage, births below replacement, now describes much of Europe and East Asia.
pessimist

Paul Ehrlich

The Population Bomb, 1968

“The battle to feed all of humanity is over”: hundreds of millions would starve in the 1970s and 1980s.

  • The Green Revolution (Borlaug's wheat and rice) doubled yields instead.
  • Famines that did happen were mostly failures of politics, as Amartya Sen showed.
pessimist

Garrett Hardin

“The Tragedy of the Commons,” 1968

Shared resources get overused because each user gains the benefit and shares the cost. Freedom to breed, he argued, is a commons.

  • Elinor Ostrom (Nobel, 2009) found communities that manage commons well for centuries.
pessimist

Meadows et al.

The Limits to Growth, 1972

A computer model of population, food, industry, pollution and resources: on business-as-usual paths, overshoot and collapse in the 21st century.

  • Still debated: some later checks say the standard run tracks the data; critics say it ignores prices and substitution.
optimist

Julian Simon

The Ultimate Resource, 1981 · the wager, 1980–1990

People are the ultimate resource: more minds mean more inventions, and scarcity raises prices that spur substitutes.

  • The wager: Simon bet Ehrlich that five metals (copper, chromium, nickel, tin, tungsten) would be cheaper in 1990. All five fell; Ehrlich paid.
  • Rerun the bet over other decades and Ehrlich sometimes wins.
optimist

Michael Kremer

“Population Growth and Technological Change,” 1993

From one million BC to 1990, growth rates rose with population size: bigger populations had more inventors. Separated regions confirm it: larger landmasses advanced faster.

  • The idea-based case for density, and a case for cities.
model

Richard Easterlin

Birth and Fortune, 1980

Small generations have it good (scarce workers, high wages) and so have big families; big generations face crowded labor markets and have fewer children. Fertility cycles.

  • Explains the boom of the 1950s and the bust that followed.
model

Ronald Lee & the dividend

Demographic dividend, 1990s–2000s

When births fall, a country briefly has many workers and few dependents, a window for saving and growth. Then the window closes as the workers retire.

  • East Asia used its window; the US is past its own.

The city question: Malthus saw crowding as a danger. Boserup, Simon and Kremer see density as a source of invention. Every central business district is a bet on the second view: more people per acre, more ideas per hour.

Go deeper

Lessons: E22.8 Population, statedPreview E22.6 Two pyramids, comparedPreview

Supplement: Malthus, An Essay on the Principle of Population (1798), full text

Section 7

In the classroom

Use the Whiteboard view button at the top for projection: large type, high contrast.

Use it in class

Drawer, lessons, quiz and game

Drawer: People, Ages and Arrivals: Births or Boats? (code 4Q64V9) · This page: code RSV7VJ

Quiz: 10 questions, scored on submit (code BMGB9W)

Game: Births or Boats? drawer game (opens when the drawer goes live) · arcade: Go Fish: The Population Pier

Lessons: APHG 2 · The transition machinePreview E22 2 · The transition's stagesPreview AM4 34 · The Immigrant Ledger: Map it / time itPreview

QR code: Page RSV7VJ
Page · RSV7VJ
QR code: Quiz BMGB9W
Quiz · BMGB9W
QR code: Drawer 4Q64V9
Drawer · 4Q64V9
Sources

Sources