The Income Inequality Visualizer
Income doesn't just affect what you buy — it shapes whether you eat, where you live, and whether you see a doctor. Here's what the data shows.
The gap between America's richest and poorest households isn't just about income — it shows up in every dimension of daily life: food security, housing stability, healthcare access, and now AI adoption. The HTOPS data makes this visible in ways traditional economic indicators miss.
The $200K Household vs the $25K Household
Under $25K / year
• 15.2% are food insecure
• 28.3% have housing difficulty
• 38.5% can't cover basic expenses
• 14.2% have no health insurance
• 18.8% use AI tools
$150K+ / year
• 0.9% are food insecure
• 2.1% have housing difficulty
• 3.8% can't cover basic expenses
• 2.1% have no health insurance
• 25.1% use AI tools
Food Insecurity by Income
Percentage reporting sometimes or often not having enough to eat in the past 7 days.
Housing Difficulty by Income
Percentage reporting difficulty paying rent or mortgage.
Expense Difficulty by Income
Percentage reporting difficulty covering usual household expenses.
AI Usage by Income
Percentage reporting AI tool usage in the past 2 months. Note the surprising $25K–$35K spike.
The $25K–$35K anomaly: This income bracket shows the highest AI usage at 29.3%, even surpassing $100K+ earners. This may reflect heavy smartphone-based AI use (ChatGPT, voice assistants) among cost-conscious consumers looking for free alternatives to paid services.
Uninsured Rate by Income
Percentage without any health insurance coverage.
What This Means
The data paints a stark picture: income is the single strongest predictor of wellbeing in America. Across every metric — food security, housing stability, health coverage, and expense management — the pattern is nearly identical: each step up the income ladder brings measurable improvement.
The most dramatic gap is in food insecurity. Americans earning under $25K are 17times more likelyto report not having enough to eat compared to those earning $150K+. This isn't about food preferences — it's about basic access to nutrition.
AI adoption tells a more nuanced story. While wealthier Americans adopt AI at higher rates overall, the $25K–$35K bracket bucks the trend with the highest usage rate. This "bargain hunter hypothesis" suggests lower-income Americans may be turning to free AI tools as substitutes for services they can't otherwise afford — a form of technological leveling that deserves more study.