People want kids. Life got too expensive.
The Baby Gap
The fertility debate usually gets weird fast. But one question is pretty concrete: do people have fewer kids than they say they want because the surrounding life got too expensive? I’m mapping desired children vs actual children, then layering in housing, childcare, and wages.
A gap chart between desired children and actual fertility, with housing/childcare/wage pressure layered in the empty space.
OECD, UN WPP, WVS, CDC/NCHS, ACS housing/income, childcare datasets.
Desired line appears first, actual line trails below it, affordability pressure fills the gap.
It reframes a culture-war topic as a concrete affordability gap.
The gap between the number of kids people say they want and the number they actually have — with affordability pressure sitting in between.
The fertility debate usually gets weird fast. But one question is pretty concrete: are people having fewer kids than they say they want because the surrounding life got too expensive? I’m mapping desired children vs actual children — then layering in housing, childcare, wages, and family policy.
A gap chart where the desired-family-size line floats above actual fertility. The empty space is filled with housing, childcare, wage, and policy pressure.
The interesting story is not ‘people do/don’t want kids.’ The story is the preference gap: many people report wanting children or wanting more children than they have, while housing, childcare, instability, and delayed partnership make the path harder.
Fields: Total fertility rate by country/year; U.S. births by state/age; birth rates by demographic group.
Use: Actual line in the desired-vs-actual gap chart.
Fields: Ideal number of children, desired family size, attitudes toward family/children by country/cohort where available.
Use: Desired line. Cross-country comparisons and cohort splits.
Fields: Rent/income, home price/income, wages, childcare price by county/age setting, commuting time.
Use: Fill the gap with explanatory pressure variables.
Fields: Paid leave, childcare subsidy, family benefits, public childcare access.
Use: Compare places with similar preferences but different affordability/policy environments.
- 1.Start international: OECD countries where desired/ideal children and actual TFR are both available.
- 2.Compute baby gap = desired/ideal number of children - actual total fertility rate. Label exact definitions clearly because surveys differ.
- 3.Second version: U.S. state/county affordability overlay using actual birth rates plus housing/childcare/wage pressure. Desired fertility may need national or survey subgroup proxy if state-level preference data is thin.
- 4.Create cohorts if possible: women/men, age groups, income/education. Avoid treating one national average as everyone’s preference.
- 5.Frame carefully: not ‘people should have more kids,’ but ‘can people have the families they say they want?’
Main X card: the gap
Countries or states sorted by the gap between desired children and actual fertility, with affordability pressure shown as color intensity.
It makes a culture-war topic look concrete and measurable.
Affordability wedge
Desired line and actual line with the space between them filled by housing, childcare, and wage-pressure bands.
The viewer instantly understands that the gap is the story.
Policy comparison cards
Two countries/cities with similar desired family size but different actual fertility and support systems.
Creates debate around policy rather than vague moralizing.
- 1.Frame 1: desired children line appears by country/cohort.
- 2.Frame 2: actual fertility line appears below it.
- 3.Frame 3: the gap fills in red/orange and gets labeled ‘the baby gap.’
- 4.Frame 4: housing, childcare, wages, and partnership delay icons layer into the gap.
- 5.Frame 5: countries/states reorder by largest gap.
- 6.Frame 6: CTA: ‘what would make the lines converge?’
- 1.Desired children survey questions differ across sources; do not over-compare incompatible definitions.
- 2.Actual TFR is a period measure, not completed family size. Explain this plainly.
- 3.Avoid coercive/pro-natalist framing. The frame is autonomy and affordability.
- 4.Infertility, partnership, health, culture, and preference changes also matter; affordability is not the only driver.
- 1.Build cross-country OECD/UN version first because desired vs actual is clearest there.
- 2.Then build U.S. affordability overlay using childcare/rent/wage data.
- 3.Then make cfindex.org version as a family-formation affordability dashboard.
- 4.Then make a short thread with 3 surprising country examples and one U.S. state/city teaser.
- 1.This should not be framed as coercive pro-natalism. It is about whether people can have the families they say they want.
- 2.The key chart is desired family size vs actual fertility, with affordability pressure sitting in the gap.
- 3.This is one of the cleanest anchors for cfindex.org.
- •OECD family/fertility indicators
- •UN World Population Prospects
- •World Values Survey
- •CDC/NCHS natality
- •ACS housing/income
- •childcare cost datasets
The policy question: what would make the desired and actual lines converge?
People want kids. Life got too expensive.
The fertility debate usually gets weird fast.