Navigate
HomeStart here
RunningRaces & training
DiningRestaurant guides
TravelPlaces & memories
CultureFilms, books & music
MusicPlaylists & tracks
City GuidesDC & Chicago
TattoosStories on skin
JournalEssays & notes
WorkProfessional
PortfolioDesign & code
Claude CodeThe guide
Economic Analysis

Fertility Economics: What the Data Shows

An empirical analysis of declining birth rates, policy effectiveness, and the structural factors shaping family formation in developed economies.

January 2026Policy Research15 min read

Key Thesis

Declining fertility rates in developed economies are primarily driven by structural economic factors—housing costs, childcare affordability, and labor market conditions—rather than cultural preferences. The data suggests that people want children but face significant barriers to family formation.

The Numbers

1.6
U.S. Total Fertility Rate (2024)
Record low
Census Bureau
2.2
Desired Fertility Rate
Women's reported ideal
IFS Survey
0.68
South Korea TFR
Lowest in recorded history
OECD 2024
51%
Fertility Decline from Housing
2000s-2010s explained
U of Toronto

The Fertility Gap

A persistent gap exists between desired and actual fertility across developed nations. The average American woman's ideal family size is approximately 2.2 children, while the actual total fertility rate stands at 1.6.

Understanding why this gap exists is crucial for effective policy design.

When surveyed about barriers to having their desired number of children, 72% of women cite economic constraints or partnership barriers—not a lack of desire for children.

Primary Barriers to Desired Fertility

Cannot afford children36%
No suitable partner36%
Partner unavailable (childless)55%

The Changed Cost Structure

The costs associated with family formation have restructured significantly over the past generation, even as aggregate income has risen.

Housing

51% of U.S. fertility decline can be explained by housing costs alone.

Bottom income quintile spends 30-40% of income on rent before childcare.

Childcare

National average: $13,128/year (2024), up 29% since 2020.

Single parents pay 35% of median income. Federal "affordability" threshold is 7%.

Structural Reality

Costs for family formation have outpaced income gains for key demographics.

Previous generations faced fundamentally different cost structures.

Cross-National Comparison

Examining countries with similar economic development levels reveals the role of policy in fertility outcomes.

CountryTFR (2023)Maternal Deaths
per 100k
Childcare Cost
% of income
Paid Leave
weeks (mother)
Family Spend
% GDP
United States1.622.323-37%00.6%
Sweden1.744%693.4%
France1.889%422.9%
Japan1.247%582.0%
South Korea0.72118%651.5%
Sources: OECD Family Database, Commonwealth Fund, OECD SOCX Database

Family Spending (% GDP) vs Total Fertility Rate

X-axis: Public spending on families (% GDP) | Y-axis: Total Fertility Rate

2.01.51.00.5
US
Sweden
France
Japan
S. Korea
0%1%2%3%4%

Key observation: Countries investing heavily in family support (Sweden, France) maintain higher fertility rates. The U.S. stands alone among developed nations with zero federal paid leave, the highest childcare costs, lowest family spending, and highest maternal mortality. Policy environment matters.

Case Study: Quebec's Childcare Policy

A natural experiment demonstrating the relationship between childcare affordability and fertility outcomes.

The Intervention

1997: Quebec launches $5/day universal childcare

2004: Raised to $7/day

2015: Income-scaled fees ($7.75-$21.20)

Coverage expanded from 4-year-olds to all preschool-age children.

The Results

1.45 → 1.73

TFR increase (2000-2009)

+16%

Maternal employment (64% to 80%)

$5B

GDP impact (1.7% increase)

"If we make having kids cheaper, people will tend to have more children."
— Tammy Schirle, Economics Professor, Wilfrid Laurier University

Quebec outpaced Ontario's fertility rate after 2005—the first time since the 1950s. Statistics Canada attributes this directly to the childcare policy intervention.

Policy Effectiveness

Not all family policies are equally effective. Research consistently shows that service-based interventions (childcare, parental leave) outperform cash-based interventions (tax credits, baby bonuses).

The difference is significant: paid leave and childcare expansion show 80-85% effectiveness in cross-national studies, while cash transfers and tax exemptions show only 25-45%.

Policy Effectiveness Rankings

Paid parental leave85%
Childcare expansion80%
Cash transfers45%
Tax exemptions25%

Conclusions

The fertility gap (desired vs actual children) suggests latent demand exists.

Economic barriers—not cultural preferences—are the primary constraint on family formation.

Housing costs alone explain roughly half of recent fertility decline in the U.S.

Countries investing heavily in family support maintain higher fertility rates.

Service-based policies (childcare, leave) are more effective than cash transfers.

Addressing structural barriers may be more effective than pro-natalist rhetoric.

Data Sources

OECD Family Database | OECD SOCX Database | U.S. Census Bureau

Commonwealth Fund | Statistics Canada | Opportunity Insights (Raj Chetty)

Institute for Family Studies | Oxfam "Time to Care" (2020)