A newly published peer reviewed study in Nature Communications examines whether living near nuclear power plants in the United States is associated with higher cancer mortality rates. As interest in nuclear energy grows due to climate goals and the transition to low carbon power, understanding potential long term public health implications is increasingly important.
The study, titled National analysis of cancer mortality and proximity to nuclear power plants in the United States, was published on February 23, 2026. Researchers analyzed nearly two decades of nationwide cancer mortality data and assessed how geographic proximity to operational nuclear facilities relates to observed cancer deaths across U.S. counties.
Nuclear power plays a major role in global electricity production. According to the World Nuclear Association, there are roughly 440 operational nuclear reactors worldwide, generating approximately 9 percent of global electricity. About 60 additional reactors are under construction, and more than 100 are planned.
The United States is currently the largest producer of nuclear electricity. Data from the U.S. Energy Information Administration show that the U.S. operates 93 commercial nuclear reactors across 28 states. Many of these facilities have been in operation for decades, with an average reactor age of over 40 years.
While nuclear power is valued for its low carbon emissions compared to fossil fuels, it also produces radioactive materials. Even during normal operations, nuclear facilities release small amounts of radioactive substances into air and water under regulatory limits. Ionizing radiation is a well established carcinogen, which raises longstanding public health questions about low level, chronic exposure.
Previous research examining cancer risk near nuclear power plants has produced mixed results. Some studies found no association, while others reported increased cancer incidence in nearby populations. Most U.S. research has focused on individual facilities rather than conducting nationwide assessments.
This new study attempts to address that gap.
The research team analyzed county level cancer mortality data from 2000 through 2018. Mortality records were obtained from the Centers for Disease Control and Prevention and included uncensored data for all malignant neoplasms identified by ICD 10 codes beginning with C.
Instead of categorizing counties as simply near or far from nuclear plants, researchers used a continuous proximity metric. They calculated the inverse distance between each county center and all operational nuclear plants within 200 kilometers. These values were averaged over a 10 year window to reflect long term proximity patterns and potential latency effects.
The study adjusted for numerous potential confounding factors at the county level, including:
Separate statistical models were run for six adult age groups and stratified by sex.
The researchers found a positive association between proximity to nuclear power plants and cancer mortality rates.
The most pronounced associations were observed among:
Model estimated relative risks were highest in the 65 to 74 age group for both males and females. Relative risk decreased as distance from nuclear facilities increased.
Using standard attributable fraction formulas, the researchers estimated the number of cancer deaths statistically associated with plant proximity over the 19 year study period.
Among adults aged 65 and older, the study estimated an average of approximately 4,266 cancer deaths per year associated with proximity to nuclear power plants, with wide confidence intervals reflecting uncertainty.
The largest estimated burden was observed in males aged 65 to 74, followed by females aged 65 to 74 and 55 to 64.
It is important to emphasize that these figures reflect statistical associations and not confirmed causal relationships.
Counties in the Midwest, Northeast, and parts of the Southeast showed higher cumulative proximity levels due to the concentration of multiple nuclear facilities. Western states and portions of the Great Plains had lower proximity values because nuclear plants are less densely distributed in those regions.
The study design allowed researchers to capture cumulative effects from multiple nearby plants rather than relying on a fixed radius around a single facility.
To provide perspective, the authors compared their cancer mortality findings to estimates of deaths associated with coal fired power plants. A separate study estimated roughly 20,909 all cause deaths per year attributable to coal plant emissions between 1999 and 2020.
While the two analyses are not directly comparable because one focuses on cancer mortality and the other on all cause mortality, the comparison highlights that energy production of any kind carries measurable public health implications.
Ionizing radiation has long been recognized as a carcinogen. Evidence from atomic bomb survivor studies in Japan has shown elevated risks for leukemia and multiple solid tumors decades after exposure.
Research following the Chernobyl disaster also documented increases in thyroid cancer and other malignancies, though results for some cancer types have been inconsistent across studies.
The new U.S. study does not measure radiation dose directly. It uses geographic proximity as a surrogate for potential exposure, which is one of its major limitations.
This research has several notable strengths:
Unlike many prior studies that examined only one plant or one region, this analysis included counties across the contiguous United States within 200 kilometers of operational facilities.
The authors clearly state that the study does not establish causality. Several limitations should be considered:
Because this is an ecological study, results cannot determine whether individual cancer cases were caused by living near a nuclear plant.
As the United States and other nations invest in nuclear energy to meet climate targets, understanding long term health patterns remains critical.
This study suggests that spatial associations between plant proximity and cancer mortality deserve further investigation. Future research could include:
Public health officials and policymakers may use these findings to inform environmental monitoring, regulatory oversight, and community health assessments.
It is important to recognize that nuclear energy produces significantly fewer greenhouse gas emissions than fossil fuels during operation. Many experts consider it a key component of decarbonization strategies.
At the same time, even low level environmental exposures warrant careful evaluation, especially when millions of people live within 200 kilometers of nuclear facilities.
The authors emphasize that their findings highlight the need for additional research rather than providing definitive conclusions.
The 2026 study published in Nature Communications reports that U.S. counties located closer to operational nuclear power plants experienced higher cancer mortality rates between 2000 and 2018. The strongest associations were observed among older adults, particularly males aged 65 to 74 and females aged 55 to 64.
While the research cannot prove cause and effect, it provides a nationwide perspective using a refined exposure metric and extensive mortality data.
As interest in nuclear power grows worldwide, continued scientific evaluation of potential health implications will remain essential to balancing energy needs with public health protection.
Alwadi Y, Alahmad B, Vieira CLZ, Landrigan PJ, Christiani DC, Garshick E, Kaltofen M, Coull B, Schwartz J, Evans JS, Koutrakis P. National analysis of cancer mortality and proximity to nuclear power plants in the United States. Nature Communications. 2026;17:1560. Published February 23, 2026.
This article summarizes findings from a peer reviewed scientific publication. The study reports statistical associations and does not establish a direct causal link between living near nuclear power plants and cancer mortality. Individual cancer risk depends on many factors, including genetics, lifestyle, environmental exposures, and healthcare access. Readers should not interpret these findings as medical advice. For personal health concerns, consult a qualified healthcare professional.
Most Accurate Healthcare AI designed for everything from admin workflows to clinical decision support.