The Energy Burden Map: Who Pays the Most, and Why It Tracks Health

A bill is a health variable

Health systems have grown comfortable asking patients about housing and food. They rarely ask about the energy bill, yet that number shapes the same outcomes. When a household spends too large a share of its income keeping the lights and heat on, the consequences spill into nutrition, medication adherence, housing stability, and the chronic stress that wears the body down over time.

This primer takes energy burden as its subject. Energy burden is simply the share of household income spent on home energy, and it is one of the cleaner numbers in the social-determinants landscape because it is measurable, it is unevenly distributed in ways that track health, and it responds to policy. The argument here is that energy burden deserves a place on the same list as housing and food, and that the programs meant to relieve it reach far fewer of the households in need than most people assume.

The size of the gap

The headline figure is stark. Low-income households in the United States spend roughly three times the share of income on home energy that higher-income households do. National advocacy data puts the low-income figure around seven percent of household income against roughly two percent for the broader population, and in the hardest-hit homes it runs considerably higher. A high energy burden is generally treated as anything above six percent, and many households sit well past it.

That ranking is not random. The neighborhoods carrying the heaviest energy burden are largely the same ones carrying the heaviest load of chronic disease, older and less efficient housing stock, and the demographic markers of disadvantage. Energy burden, respiratory illness, cardiovascular strain, and housing precarity cluster together because they share upstream causes. This is why a map of energy burden so often resembles a map of health need laid over the same city.

The assistance paradox

The United States runs two main programs to address this. The Low Income Home Energy Assistance Program, LIHEAP, provides bill payment and crisis help, and the Weatherization Assistance Program, WAP, funds longer-term efficiency upgrades. Both do real good. An Oak Ridge National Laboratory evaluation found that every dollar spent on weatherization returns well over a dollar in energy savings and considerably more in non-energy benefits such as health and safety. The trouble is reach.

Here is the paradox at the center of this primer. LIHEAP reaches only a small fraction of the households that qualify for it, historically in the range of one in six to one in five eligible households in recent years, because the funding is a fixed block grant far smaller than the eligible population. Even households that do receive help still carry an energy burden roughly twice the national average after the assistance is applied. So the program lowers the burden without closing the gap, and it never reaches most of the people the gap describes. The relief is real for the few, partial even for them, and absent for the many.

Two further design features sharpen the problem. Much of the assistance is structured around crisis, which means help often arrives only after a household is already facing a shut-off rather than before, placing people at risk by design. And the funding has historically tilted toward heating, even as cooling becomes a growing and in some regions deadlier need. A household in a hot southern state with a high cooling burden may find the program built for someone else's winter.

Eligibility is not access

A quieter problem runs underneath the funding shortfall. Eligibility for these programs is set by income thresholds, but income thresholds do not cleanly identify the households actually drowning in energy costs. Research using a direct energy-equity measure, looking at when households actually turn on cooling and how long they wait, has found that income-based metrics miss a meaningful share of energy-insecure households, including people who are not classified as low-income but who ration energy hard because of high rent or mortgage costs and little disposable income.

The practical effect is that the screen meant to target help also excludes people in genuine need, and the application burden itself, the paperwork and the timing, screens out some of the households least equipped to navigate it. Eligibility and access are not the same thing, and the distance between them is where a lot of preventable hardship lives.

What this means for community health infrastructure

For an organization working at the intersection of energy and health, energy burden is the natural through-line. It connects the warmth-and-health story, the cooling-and-heat story, the reliability story, and the efficiency story, because all of them ultimately register as a number on a bill and a share of a budget. Lowering that share durably is among the more concrete interventions available on the social determinants of health, and it is one where good data can direct help to where the return is largest.

The opportunity is also a data and governance opportunity, which is where this work connects to the rest of the Foundation's. A community that can see its own energy-burden map, that holds and governs the data showing which blocks ration heat and which households face repeated shut-offs, is far better positioned to target assistance, design programs, and hold providers accountable than one relying on an income screen alone. The bill is a health variable. Treating it as one, and building the shared information to act on it, is the work.

References

1. NASCSP. LIHEAP and WAP: A Dynamic Duo for Reducing the Low-Income Energy Burden. Low-income households spend about 7.2% of income on utilities, more than three times higher-income households; Oak Ridge National Laboratory evaluation cited on weatherization returns. https://nascsp.org/liheap-and-wap-a-dynamic-duo-for-reducing-the-low-income-energy-burden/

2. ASPE (HHS). Approaches to Low-Income Energy Assistance Funding in Selected States. LIHEAP recipient energy burden remains roughly twice that of all households; participation has long sat near 15% of eligible households. https://aspe.hhs.gov/reports/approaches-low-income-energy-assistance-funding-selected-states-0

3. Heatwaves and hardship: Shortcomings and solutions for enhancing LIHEAP. ScienceDirect (2024). Gap between eligibility and enrollment; crisis emphasis; spatial mismatch favoring cold-weather states. https://www.sciencedirect.com/science/article/abs/pii/S1040619024000757

4. Unveiling hidden energy poverty using the energy equity gap. Nature Communications (2022). Income-based metrics miss energy-insecure households identified through actual cooling behavior. https://www.nature.com/articles/s41467-022-30146-5

5. U.S. Department of Energy. How to Apply for Weatherization Assistance. WAP eligibility thresholds and prioritization of high-burden and vulnerable households. https://www.energy.gov/cmei/scep/wap/how-apply-weatherization-assistance

6. Heating and Cooling Relief Act of 2025, Section-by-Section (Sen. Markey, Rep. Ansari). LIHEAP reaches 16–20% of eligible households; cooling receives roughly 7% of program funds. https://www.markey.senate.gov/download/heating-and-cooling-relief-act-section-by-section?download=1