LHLordhair
Concept prototype

America's Male Hair Loss Anxiety Map

A search-led data story showing where men are looking for answers about thinning hair, balding and early hair loss.

Built from 1,909 Google Keyword Planner terms, adjusted by male population and scored from 0 to 100. The key caveat stays visible: this measures concern and search behaviour, not clinical prevalence.

Interactive map idea

Let readers switch between raw demand and per-capita concern.

This is the main engagement device. It makes the story more interesting than a single ranking because California leads overall, while smaller states such as Vermont and Wyoming become more revealing when adjusted by population.

Narrative layer

The more emotional hook: hair loss searches start young.

The age data gives the page a human thread. Instead of just saying who ranks where, show the questions men are typing when they are worried about losing hair earlier than expected.

20s

The 20s lead the national age-specific search ranking. This is the strongest storytelling route because it captures early anxiety, uncertainty and solution-seeking.

why am I losing my hair at 20 male balding in my 20s hair thinning at 19 male male pattern baldness at 30 how to stop receding hairline male how to prevent hair loss for teenage guys
Story modules

Turn the report into a guided experience, not a static table.

Find your state

Give every reader a personal entry point before asking them to care about the national ranking.

Switch the lens

Use toggles to explain why big states dominate volume while smaller states can show stronger concern per person.

Show real questions

Use keyword cards to reveal the human anxiety behind the numbers without overclaiming prevalence.

Guide, do not scare

Close with supportive education and Lordhair's confidence positioning rather than fear-led sales copy.

Methodology explainer

How the index works

This study analyses online search behaviour around male hair loss, using Google Keyword Planner, U.S. Census male population data and a composite Trend Interest Score. It should be framed as search concern, not verified hair loss prevalence.

1. Keyword set1,909 male hair loss terms were grouped across general and age-specific searches.
2. Search volumeGoogle Keyword Planner was used to estimate search demand by state.
3. Population adjustmentSearches were normalised against male population aged 10 and above.
4. Composite scoreRaw demand and per-capita demand were transformed into Z-scores.
5. Reader-friendly scaleThe combined score was rescaled from 0 to 100 for comparison.