Original research · Electrification
The Homes Most Likely to Need an Upgrade Are the Least Able to Pay for One
Two earlier studies here counted the hazard-era housing stock and its renters. Neither could say whether the households living in it are the ones already struggling to pay for power. The federal household energy survey asks that directly.
Written by HyreElectrical Research Desk Primary-source research and fact checking
The finding
In the Energy Information Administration’s 2020 Residential Energy Consumption Survey, 33.58 million US households — 27.2 percent of the 123.53 million RECS covers — reported at least one form of household energy insecurity.
That means reducing or forgoing food or medicine to pay an energy bill, leaving home at an unsafe temperature, or receiving a disconnection or delivery-stop notice.
Cross-tabbed against the 1950–1989 construction-era window this site’s hazard-era panel study already defined for Federal Pacific and Zinsco installations, homes of that era report energy insecurity at 29.4 percent, against 25.1 percent for homes outside it: real, but modest, and the break in the data is at 1990, not at the panel-hazard years.
Two other cross-tabs from the same table show far sharper gaps. By income, the rate runs from 58.0 percent of households earning under $5,000 a year down to 7.2 percent of those earning $150,000 or more.
By tenure, renters report energy insecurity at 41.0 percent against 20.4 percent for owners. These are three separate single-variable federal cross-tabs, not one joint result, so this page cannot give a verified percentage for "low-income renters in hazard-era homes".
What the three cuts do show is that the population reporting energy insecurity most often, renters and lower-income households of every tenure, is the population this site’s earlier work found least able to authorize or fund the repair.
Read this before you use any number on this page
The Residential Energy Consumption Survey asks a national sample of households directly whether they experienced each issue in the past 12 months, then publishes the results as pre-built cross-tabulations against roughly thirty household and housing characteristics — one characteristic at a time.
There is no public RECS table that crosses year built, income and tenure together against energy insecurity in a single cell.
Every finding below is a separate cross-tab from EIA’s own Table HC11.1, not a joint statistical model, and this page never states a number as if it answered a question the public data cannot answer.
"Any household energy insecurity" is EIA’s own defined term, not this site’s.
EIA states it plainly in the table’s own footnote: it "includes only those issues collected as part of the RECS questionnaire. Other factors, such as energy costs as a percentage of household income, could be considered as household energy insecurity, but they are not included here."
A household can report more than one issue, which is why the "any" column is smaller than the sum of the specific ones.
This page uses none of HyreElectrical’s own contractor records. Every figure is EIA or, where cited, Census federal data.
The 1950–1989 window is reused from this site’s own earlier study rather than re-derived, and that study’s ACS universe — 142.33 million total housing units — is not the same population as RECS’s 123.53 million occupied primary homes, which excludes vacant, seasonal, second, military and group-quarters units.
The two surveys’ percentages are reported separately and never pooled into one figure.
Two studies that could not say who lives in the stock they counted
HyreElectrical’s hazard-era panel study counted 67,068,006 US housing units built 1950–1989, the years Federal Pacific and Zinsco load centers were on the market.
Its follow-up on tenure found that 21,710,304 of the occupied ones are rented, and that a tenant in one of them has no legal standing to order the panel replaced.
Neither study could say whether the household actually living in that stock is one already struggling to pay for energy at all — Census ACS, the source for both, does not ask.
The Department of Energy’s own electrification research states the constraint plainly: "upgrading panels is not always feasible — especially for low-income families." That is a program-level observation, not a measurement. HYRE analysis.
The one federal instrument built to measure it directly is RECS, which interviews households about their own financial experience with energy costs rather than inferring it from housing age.
Cross-tabbing its energy-insecurity questions against the characteristics this site’s earlier studies already established — construction era and, by extension, tenure — is the natural next cut, and nobody appears to have published it against this specific hazard-era framing before.
The construction-era cross-tab: real, and not where you might expect it
Summing RECS’s four year-built rows inside the 1950–1989 window: 17.62 million of the 59.88 million occupied homes in that era report at least one form of energy insecurity — 29.4 percent.
The relative standard error is 1.9 percent on the summed estimate, computed as the root sum of squares of the four component RSEs, the same method this site’s ACS studies use for a derived sum.
Outside that window — everything built before 1950 or after 1989 — the rate is 15.96 million of 63.65 million, or 25.1 percent.
HYRE analysis, and the honest complication. The gap is real but it is not the sharpest cut available, and it is not unique to the specific years this site’s panel-hazard study cares about.
Homes built before 1950 — outside the FPE/Zinsco installation era entirely — report energy insecurity at 29.4 percent, statistically indistinguishable from the 1950–1989 window itself.
What actually separates the data is a line at 1990: every decade band built earlier runs 27.7 to 30.7 percent, and every band from 1990 onward runs 21.1 to 24.2 percent.
A page that reported only the 1950–1989 number against "everything else" would flatten this pattern; publishing all nine bands is the only honest way to show it.
Every construction-era band, all four core measures
| Year built | Occupied units | Any insecurity | Forgo food/medicine | Unhealthy temperature | Disconnect notice |
|---|---|---|---|---|---|
| Before 1950 | 20.26M | 5.96M (29.4%) | 4.16M (20.5%) | 2.43M (12.0%) | 2.26M (11.2%) |
| 1950 to 1959 | 12.48M | 3.70M (29.6%) | 2.60M (20.8%) | 1.39M (11.1%) | 1.31M (10.5%) |
| 1960 to 1969 | 12.76M | 3.92M (30.7%) | 2.92M (22.9%) | 1.29M (10.1%) | 1.52M (11.9%) |
| 1970 to 1979 | 18.34M | 5.48M (29.9%) | 4.21M (23.0%) | 2.05M (11.2%) | 1.97M (10.7%) |
| 1980 to 1989 | 16.30M | 4.52M (27.7%) | 3.32M (20.4%) | 1.82M (11.2%) | 1.72M (10.6%) |
| 1990 to 1999 | 17.16M | 4.08M (23.8%) | 3.02M (17.6%) | 1.31M (7.6%) | 1.51M (8.8%) |
| 2000 to 2009 | 16.16M | 3.61M (22.3%) | 2.66M (16.5%) | 1.11M (6.9%) | 1.22M (7.5%) |
| 2010 to 2015 | 5.53M | 1.34M (24.2%) | 1.01M (18.3%) | 0.47M (8.5%) | 0.52M (9.4%) |
| 2016 to 2020 | 4.56M | 0.96M (21.1%) | 0.72M (15.8%) | 0.33M (7.2%) | 0.33M (7.2%) |
US Energy Information Administration, 2020 RECS, Table HC11.1. Bold rows are the four bands summed into this site’s 1950–1989 hazard-era window. Each cell shows the raw EIA figure in millions of households and, in parentheses, that figure as a share of the row’s total units.
EIA does not publish a combined 1950–1989 row; the bold-row sum (59.88M units, 29.4% any insecurity, ±0.34M) is a HyreElectrical calculation from the four published rows.
The more likely driver: insulation, not age
The same table cross-tabs energy insecurity against a home’s insulation adequacy, self-reported by the household, and the gap there is far wider than the one by construction era.
Well-insulated homes report energy insecurity at 19.2% (6.58 million of 34.34 million); poorly insulated homes at 46.0% (9.80 million of 21.29 million); homes with no insulation at 51.0% (1.85 million of 3.63 million). That is a wider spread than the construction-era gap and almost as wide as the income gradient below.
HYRE analysis. Older homes are more likely to be poorly insulated, so construction era is plausibly standing in for insulation and equipment condition rather than measuring an independent effect of its own — and certainly rather than measuring anything about a panel specifically.
RECS’s public tables do not cross insulation against year built either, so this cannot be resolved into "how much of the era effect is really an insulation effect" from the tables available; it is named here as the more proximate and more likely explanation, not proven as one.
The income cross-tab: an eight-times gradient, unbroken
RECS asks 2020 annual household income in eight brackets, and the energy-insecurity rate falls in an unbroken line across every one of them.
It runs from 58.0 percent of households earning under $5,000 a year, 56.1 percent at $5,000–$9,999, 46.8 percent at $10,000–$19,999, 39.7 percent at $20,000–$39,999, 29.3 percent at $40,000–$59,999.
Above that it is 20.1 percent at $60,000–$99,999, 11.1 percent at $100,000–$149,999, and 7.2 percent at $150,000 or more.
HYRE analysis. This is the sharpest and cleanest gradient on this page — an eight-times difference between the bottom and top brackets, with no reversal at any step.
It is also, unlike the construction-era finding, exactly the shape a household-budget explanation predicts: energy insecurity as EIA defines it is fundamentally about the ability to pay, and income is the most direct measure of that ability the survey collects.
Energy insecurity by 2020 annual household income
| Income bracket | Occupied units | Any energy insecurity |
|---|---|---|
| Less than $5,000 | 4.48M | 2.60M (58.0%) |
| $5,000-$9,999 | 4.01M | 2.25M (56.1%) |
| $10,000-$19,999 | 10.25M | 4.80M (46.8%) |
| $20,000-$39,999 | 24.07M | 9.56M (39.7%) |
| $40,000-$59,999 | 19.61M | 5.74M (29.3%) |
| $60,000-$99,999 | 27.71M | 5.57M (20.1%) |
| $100,000-$149,999 | 16.54M | 1.84M (11.1%) |
| $150,000 or more | 16.86M | 1.22M (7.2%) |
US Energy Information Administration, 2020 RECS, Table HC11.1, retrieved 6 September 2026.
Ranked by bracket, not by rate — the rate itself is already monotonic, falling at every step.
The tenure cross-tab: renters, roughly double, on every measure
Owner-occupied households report energy insecurity at 20.4 percent (16.92 million of 82.92 million); renter-occupied households at 41.0 percent (16.66 million of 40.61 million) — almost exactly double, from a smaller base of homes.
The gap holds on every one of EIA’s six specific measures: renters forgo food or medicine to pay an energy bill at 31.6 percent against owners’ 14.2 percent, and receive a disconnect or delivery-stop notice at 16.9 percent against 6.6 percent.
HYRE analysis. This site’s renter-tenure study already found that 48.7 percent of renter-occupied homes sit in the 1950–1989 hazard-era window, against 46.2 percent of owner-occupied homes — a real but modest gap in the same direction as this page’s construction-era finding.
Laid on top of a roughly two-times energy-insecurity gap and this site’s established fact that a tenant cannot lawfully authorize a panel replacement, the three findings point the same way without any one of them, alone, proving the others.
The household most likely to be renting a hazard-era home is also, independently, the household EIA finds most likely to already be behind on the energy bill — and the one with no legal standing to fix the panel even if it could afford to.
The one geography RECS actually supports: census region
RECS’s sample supports national, four-region and nine-division estimates — nothing finer. The South, which reports the largest volume of energy-insecure households at 14.00 million, also reports the highest rate: 29.9 percent of its 46.84 million occupied homes, against 26.9 percent in the West, 25.3 percent in the Northeast and 24.3 percent in the Midwest.
A scope note, stated because this site works from a five-state contractor store that is 74 percent Florida.
The South region in this table is Census-defined and includes Florida along with sixteen other states and DC; nothing in this section, or anywhere else on this page, uses HyreElectrical’s own contractor records.
The South’s highest-in-the-country rate is federal survey data, reported here because it is true, not because it happens to overlap with where this site’s own coverage is concentrated.
Energy insecurity by census region
| Region | Occupied units | Any insecurity | Forgo food/medicine | Unhealthy temperature | Disconnect notice |
|---|---|---|---|---|---|
| Northeast | 21.92M | 5.54M (25.3%) | 3.82M (17.4%) | 2.38M (10.9%) | 1.84M (8.4%) |
| Midwest | 27.04M | 6.58M (24.3%) | 4.87M (18.0%) | 2.01M (7.4%) | 2.80M (10.4%) |
| South | 46.84M | 14.00M (29.9%) | 10.66M (22.8%) | 4.65M (9.9%) | 5.69M (12.1%) |
| West | 27.72M | 7.46M (26.9%) | 5.25M (18.9%) | 3.16M (11.4%) | 2.02M (7.3%) |
US Energy Information Administration, 2020 RECS, Table HC11.1, retrieved 6 September 2026.
RECS does not support state-level breakdowns; region is the finest cut available for this cross-tab.
What this cross-tab is actually useful for
These are population-level rates from a national sample, not a test of any specific house or household. A policymaker, journalist or advocate citing this page should cite the rate and its source table, not translate it into a claim about one address.
If a program has to choose one targeting criterion for a limited electrification or weatherization budget, this data says income and rental status separate energy-insecure households far more cleanly than construction era does on its own.
The 41.0 percent renter energy-insecurity rate and the 48.7 percent renter share of the hazard-era stock are two separate federal findings.
Together they describe a household that is simultaneously more likely to need the work and least able to compel it — the split-incentive problem that study already named, now with a second federal source behind it.
It cannot say whether any individual household’s energy insecurity traces to an old panel, poor insulation, an inefficient furnace or simply low income — the public data does not separate those causes, and this page does not pretend otherwise.
The evidence ladder, rung by rung
Four different kinds of statement sit on this page. Keeping them separate is the difference between a page a journalist can quote and one that gets a correction.
Every rate by year built, income and tenure, taken directly from EIA’s published table. Quotable as fact, within its RSE. EIA RECS 2020, Table HC11.1
The 1950–1989 sums, their combined RSE, and every percentage on this page — arithmetic performed on EIA’s published rows, not a number EIA itself states. HyreElectrical, from HC11.1
The synthesis across this page and this site’s two earlier studies — that the households most exposed to the hazard-era stock and least able to authorize repair are also the ones EIA finds most energy-insecure. An interpretation of three separately measured facts, not a fourth measurement. Editorial synthesis
A single percentage for "low-income renters in hazard-era homes." No public RECS or ACS table crosses all three characteristics together, and this page does not manufacture one. Absent from the record
Limitations
Year built, income and tenure are each cross-tabbed against energy insecurity separately in EIA’s public tables. Nothing here proves how the three interact together, and no single verified percentage exists for a household defined by more than one of them at once.
Homes built before 1950 report energy insecurity at essentially the same rate as the 1950–1989 window. The real break in the data is at 1990, across the whole pre-1990 housing stock, not specifically inside the panel-hazard years.
The insulation-adequacy cross-tab shows a wider gap than the construction-era one. Older homes are more likely to be poorly insulated, so age may be standing in for insulation and equipment condition rather than measuring an independent effect — and this page cannot separate the two from the tables EIA publishes.
It covers only the issues RECS asks about directly, explicitly excludes energy burden as a share of income, and counts a household once even if it reports more than one issue. It is not this site’s definition and cannot be redefined from the published table.
These figures measure what a household told an interviewer about the past twelve months, not a verified utility disconnection record or an engineer’s assessment of the home. That is the correct instrument for measuring financial hardship and the wrong one for measuring equipment condition.
The two rarest measures — unable to use heating equipment, unable to use air-conditioning equipment — carry relative standard errors as high as 32 to 39 percent in the smallest income and year-built cells. Those two measures are reported here at the national and tenure level only, where the samples are largest.
RECS supports national, census-region and census-division estimates. It does not support state-level breakdowns for a cross-tab this specific, which is why this page — unlike this site’s ACS-based studies — carries no state table.
Method
Primary source. US Energy Information Administration, 2020 Residential Energy Consumption Survey, Table HC11.1, "Household energy insecurity."
The workbook states a final data release date of August 2025, revising a March 2022 preliminary release "to correct energy bill payment method rows" in a May 2022 update; the figures on this page come from the August 2025 final release, retrieved 6 September 2026.
Derivation. The 1950–1989 sums are the four RECS year-built rows "1950 to 1959," "1960 to 1969," "1970 to 1979" and "1980 to 1989" added together, for total occupied units and for each of four outcome columns (any insecurity, forgo food or medicine, unhealthy temperature, disconnect notice).
Relative standard errors on the summed "any insecurity" estimate are combined as the square root of the sum of the squared component absolute errors (each row’s published RSE multiplied by its value), the same root-sum-of-squares method this site’s ACS-based studies use for derived sums.
It is applied here to EIA’s published RSEs rather than the Census Bureau’s margins of error, which are not the same statistic: EIA states its RSEs at one standard error, not the Bureau’s 90 percent confidence convention.
What this page reuses, and what it does not. The 1950–1989 window and its 67.1-million-unit ACS total are established in the hazard-era study and are cited, not re-derived. Every RECS figure on this page — the year-built, income, tenure and insulation cross-tabs — is newly pulled from HC11.1, a table neither earlier study uses.
Reproducibility. HC11.1 is a single public workbook with a companion RSE sheet. Anyone with the file can rebuild every sum and percentage on this page from the rows cited.
Questions
What share of US households report energy insecurity?
Are older homes more likely to have energy-insecure occupants?
Is this the same "hazard era" as the electrical panel study?
Do renters report more energy insecurity than homeowners?
How much does income affect the odds of reporting energy insecurity?
Does this data prove low-income renters in old homes are the most affected?
What exactly counts as "household energy insecurity" in this data?
Does an old or hazardous panel cause energy insecurity?
Written and audited by
HyreElectrical Research Desk
Primary-source research and fact checking
We read the model code, the federal safety notice, the municipal fee sheet or the utility tariff ourselves, and we publish the figure with the document it came from and the date we retrieved it.
Where a number cannot be traced to a primary source, we publish the shorter page and say what we could not verify. HyreElectrical does not perform, supervise or warrant electrical work. Authorship is organizational: this desk, not a named persona.
- 16
- original research studies published
- 5
- states with verified license records
- 16,369
- electrical companies in those records
- 74%
- of the store is Florida — disclosed first, not footnoted
How this desk works
- Primary sources only. Code statements come from NFPA 70 as the model code. Safety statements come from CPSC. Permit fees come from the city or county fee sheet. Utility charges come from the filed tariff. We do not cite a blog that cites a source; we open the source.
- Our contractor store is five states, and 74% of it is Florida. Any figure built on that store is titled to those states and names the concentration in the first screen. It is not a national sample of electricians.
- Load calculations on this site are a published simplification in the shape of NEC 220.82 — first 10 kVA at 100%, remainder at 40%, HVAC at 100%, EVSE at 125%. They are labeled as not a stamped calculation. A licensed electrician using the adopted edition does that work.
- No national price for a panel upgrade is shipped. Labor rates, the adopted code edition, whether the utility is involved, and the state of the existing wiring move the invoice too far for a roundup to help. The cost pages publish named permit fees and the variables that move the price instead.
- We do not perform electrical work, and we take no payment for placement, ranking or a favorable mention. Nobody buys a position on this site.
Data as of 6 September 2026. Authorship on this site is organizational: the analysis belongs to the desk rather than to a named individual, and we do not publish credentials we do not hold. Our editorial policy sets out how we source, date and correct what we publish.
Sources & retrieval dates
Looking for help with an upgrade, not just the data
Home energy insecurity is covered here as research, not as a funding directory. The incentives guide below covers what federal and state programs actually exist today, and the panel-upgrade page explains the work itself in plain terms before you talk to an electrician.
HyreElectrical does not perform, supervise or warrant electrical work, and takes no payment for placement, ranking or favorable mention.
This page uses no data from HyreElectrical’s own contractor records — every figure is federal survey data from the Energy Information Administration or, where cited, the Census Bureau.
Nothing on this page is financial, legal or energy-assistance eligibility advice; contact the cited programs directly for current rules.