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How does noise and light pollution from data centres affect nearby residents and wildlife?

No study directly measures data-centre noise or light pollution, but general research links such pollution to human health risks and harm to wildlife.

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Covers: This page covers the evidence on noise and light pollution from data centres and their effects on nearby human communities and wildlife. It does not address other environmental impacts such as energy use, water consumption, or e-waste.

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The short answer

Interpretation AI-prepared starting map

No source directly measures noise or light pollution from data centres and its effects on nearby residents or wildlife. The available evidence comes from broader research on environmental noise and artificial light at night (ALAN). On the human side, an estimated 104 million people in the United States had annual average noise exposure above 70 dBA in 2013, a level putting them at risk of noise-induced hearing loss, with tens of millions more at risk of heart disease and other noise-related effects. On the wildlife side, ALAN alters immune rhythmicity and weakens time-dependent antibody responses in wild rodents, and expert survey responses (280) identify habitat specialists, nocturnal species, and those with the greatest ability to differentiate visual and auditory cues as most vulnerable to sensory pollutants. Light pollution is estimated to reduce ecosystem service value by 40% in the most light-polluted areas, an annual loss of about USD 3.4 trillion.1234

What this rests on6 independent sources
  • Evidence 14
  • Interpretation 5

In brief

  1. No source here studies data centres directly; the evidence comes from general noise and artificial-light research, so findings are transferable but not data-centre-specific.12

    Interpretation
  2. In 2013, an estimated 104 million people in the US had annual average noise exposure above 70 dBA, a level linked to hearing-loss risk, with tens of millions more at risk of heart disease.1

    Evidence-backed
  3. Artificial light at night alters immune rhythms and weakens antibody responses in wild rodents, potentially raising infection susceptibility.2

    Evidence-backed
  4. Habitat specialists, nocturnal species, and species with sharp visual and auditory discrimination are most vulnerable to sensory pollutants, according to an expert survey of 280 responses.3

    Evidence-backed
  5. Light pollution is estimated to cut ecosystem service value by 40% in the most affected areas, an annual loss of about USD 3.4 trillion.4

    Evidence-backed

At a glance

The picture in numbers

Live · updated just now

Estimated for 2013; level linked to hearing-loss risk

104 million people

104 million people: people in the US exposed to yearly average noise above 70 dBA1
Modelled estimate using light pollution as a proxy

40%

40 in every 100

of ecosystem service value lost in the most light-polluted areas4
About 3% of global GDP in 2022

3.4 trillion USD

3.4 trillion USD: estimated yearly loss from light pollution4
Experts named habitat specialists and nocturnal species most at risk

280 responses

280 responses: expert survey responses on vulnerable species3

The evidence behind it

6 sources
  • Other studies and data6

When it was published

Newest from 2026

20132026
Sources on this page by kind and year
SourceKindYear
Environmental Noise Pollution in the United States: Developing an Effective Public Health ResponseOther studies and data2013
Artificial light at night disrupts immune rhythms in wild rodents under semi-natural conditions.Other studies and data2026
Light and noise pollution impacts specialist wildlife species disproportionatelyOther studies and data2021
Urban Ecology: Impact of Noise and Light Pollution on Local WildlifeOther studies and data2026
The Ecological Economics of Light Pollution: Impacts on Ecosystem Service ValueOther studies and data2024
Grasping darkness: the dark ecological network as a social-ecological framework to limit the impacts of light pollution on biodiversityOther studies and data2021

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What it means for you

Which fits you?

Pick the situation closest to yours. Each answer says what it rests on.

If you live near a data centre and are concerned about noise

the general evidence links sustained exposure above 70 dBA to hearing-loss risk and heart disease, so measuring or requesting local noise levels is a reasonable first step; the sources do not establish what levels data centres produce.1

Interpretation

If you are assessing wildlife impacts around a proposed or existing data centre

focus on nocturnal and habitat-specialist species, which expert survey responses identify as most vulnerable to light and noise pollution.3

Evidence-backed

If you are planning lighting for a facility near natural habitat

the dark ecological network framework treats darkness as a resource to protect, and light-pollution valuation work suggests the ecological cost of excess lighting can be substantial.64

Evidence-backed

If you are designing noise mitigation for a facility

direct regulation, altering the informational environment, and altering the built environment are identified as the least costly, most logistically feasible, and most effective noise-reduction interventions.1

Evidence-backed

If you are monitoring wildlife health near a facility

biomarkers such as urinary 8-OHdG, plasma malondialdehyde, and faecal corticosterone metabolites are proposed as routine surveillance tools for urban wildlife health.5

Evidence-backed

The full story · 4 chapters

01

Noise and human health near data centres

AI summary:General noise research links high average exposure to hearing-loss and heart-disease risk, but data-centre-specific levels are not quantified.

Evidence-backed

Evidence-backed: The most directly relevant human-health evidence comes from general environmental noise research rather than data-centre studies. An estimated 104 million individuals in the United States had annual average exposure levels above 70 dBA in 2013 and were at risk of noise-induced hearing loss; tens of millions more may be at risk of heart disease and other noise-related health effects. The same work identifies direct regulation, altering the informational environment, and altering the built environment as the least costly, most logistically feasible, and most effective noise-reduction interventions.1

Interpretation

Interpretation: Data centres typically run continuously, which matters because the health thresholds above are framed in terms of 24-hour average exposure (LEQ(24)). Whether a given data centre's noise reaches those levels depends on distance, topography, building design, and the type of cooling equipment — factors the sources here do not quantify for data centres specifically.1

02

Light pollution and wildlife

AI summary:Artificial light at night alters rodent immune rhythms, and an expert survey flags nocturnal and specialist species as most vulnerable to sensory pollutants.

Evidence-backed

Evidence-backed: Artificial light at night (ALAN) alters immune rhythmicity and weakens time-dependent antibody responses in wild rodents studied under semi-natural conditions, potentially increasing susceptibility to infection. The authors argue this matters not only for ecosystem health but also for assessing how altered immune function may influence the emergence and spread of zoonotic diseases, and they call for studying light pollution's effects on wild species under natural rather than purely laboratory conditions.2

Evidence-backed

Evidence-backed: An expert knowledge survey (280 responses) found that sensory pollutants are increasingly recognised as important in management and conservation decisions, with mounting threats to species with narrow niches — especially habitat specialists, nocturnal species, and those best able to differentiate environmental visual and auditory cues. The authors provide a step-by-step example of translating these results into on-the-ground conservation planning using two species as case studies.3

Evidence-backed

Evidence-backed: A review of urban ecology evidence across avian, amphibian, and mammalian taxa reports convergent hormonal perturbation and genotoxic stress from noise and light pollution. Chronic noise activates the hypothalamic-pituitary-adrenal (HPA) axis, raising glucocorticoid levels, inhibiting the pulsatility of gonadotropin-releasing hormone (GnRH), and stimulating lipid peroxidation; co-occurring pollutants such as PAHs, VOCs, and NOx amplify these effects. The authors propose biomarkers including urinary 8-OHdG, plasma malondialdehyde (MDA), and faecal corticosterone metabolites as routine surveillance tools for urban wildlife health.5

03

Scale of light pollution's ecological and economic cost

AI summary:Light pollution is estimated to cut ecosystem service value by 40% in the most affected areas, an annual loss of about USD 3.4 trillion.

Evidence-backed

Evidence-backed: Using the Simplified All-Sky Light Pollution Ratio as a proxy for light pollution's negative impact and landcover-based ecosystem service values, one study estimates a 40% reduction in ecosystem service value in the most light-polluted areas of the world, with an annual loss of about USD 3.4 trillion — roughly 3% of the total global value of ecosystem services and 3% of global GDP (estimated at about USD 100 trillion in 2022). The paper also breaks down how losses are distributed among countries and landcover types.4

Evidence-backed

Evidence-backed: A social-ecological framework proposes the "dark ecological network" as a way to limit light pollution's impacts on biodiversity, treating darkness as a resource to be planned and protected rather than simply an absence of light.6

04

What is and is not known about data centres specifically

AI summary:The sources treat noise and light as broad stressors but none isolates data centres as a source or quantifies their contribution.

Interpretation

Interpretation: The sources describe noise and light pollution as broad environmental stressors with documented human-health and wildlife effects, but none isolates data centres as a source. Data centres combine several features that the general literature flags as concerning — continuous operation, low-frequency mechanical noise from cooling, and 24-hour security lighting — yet the size of their contribution relative to roads, airports, or street lighting is not quantified in this material.123

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Sources

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  1. 1
    Environmental Noise Pollution in the United States: Developing an Effective Public Health Response
    Environmental Health Perspectives (Hammer et al.)Published Dec 5, 2013Checked Oct 7, 2026
    “We aimed to describe some of the most serious health effects associated with noise, summarize exposures from several highly prevalent noise sources based on published estimates as well as extrapolations made using these estimates, and lay out proven mechanisms and strategies to reduce noise by incorporating scientific insight and technological innovations into existing public health infrastructure. DISCUSSION: We estimated that 104 million individuals had annual LEQ(24) levels > 70 dBA (equivalent to a continuous average exposure level of >70 dBA over 24 hr) in 2013 and were at risk of noise-induced hearing loss. Tens of millions more may be at risk of heart disease, and other noise-related health effects. Direct regulation, altering the informational environment, and altering the built environment are the least costly, most logistically feasible, and most effective noise reduction interventions. Significant public health benefit can be achieved by integrating interventions that reduce environmental noise levels and exposures into the federal public health agenda.”
  2. 2
    Artificial light at night disrupts immune rhythms in wild rodents under semi-natural conditions.
    Environmental pollution (Barking, Essex : 1987) (Vardi-Naim et al.)Published Feb 5, 2026Checked Oct 7, 2026
    “Together, these findings underscore the need for ecoimmunological approaches to assess how expanding light pollution threatens wildlife health and resilience. Significance Statement. Artificial light at night (ALAN) is a growing anthropogenic disturbance with wide-ranging ecological and physiological impacts. While its disruptive effect on circadian rhythms is well documented, its effects on immune function remain underexplored. Our findings show that ALAN alters immune rhythmicity and weakens time-dependent antibody responses in wild rodents under semi-natural conditions, potentially increasing susceptibility to infection. Studying the effects of light pollution on wild species under natural conditions is essential not only for understanding its impact on ecosystem health, but also for assessing how altered immune function may influence the emergence and spread of zoonotic diseases. These insights underscore the need to investigate immunity in ecologically relevant contexts beyond traditional laboratory models and conditions.”
  3. 3
    Light and noise pollution impacts specialist wildlife species disproportionately
    bioRxiv (Cold Spring Harbor Laboratory) (Ditmer et al.)Published Feb 19, 2021Checked Oct 7, 2026
    “This knowledge is needed to improve the design and implementation of policies that mitigate or reduce sensory pollutants. We present results from an expert knowledge survey that quantified the relative influence of several ecological, anatomical, and physiological traits on the vulnerability of terrestrial vertebrates to elevated levels of anthropogenic lighting and noise. Our findings, based on 280 responses, highlight the increasing recognition among experts that sensory pollutants are important to consider in management and conservation decisions. Participant responses show mounting threats to species with narrow niches; especially habitat specialists, nocturnal species, and those with the greatest ability to differentiate environmental visual and auditory cues. Our results call attention to the threat specialist species face and provide a generalizable understanding of which species require additional considerations when developing conservation policies and mitigation strategies in a world altered by expanding sensory pollutant footprints. We provide a step-by-step example for translating these results to on-the-ground conservation planning using two species as case studies.”
  4. 4
    The Ecological Economics of Light Pollution: Impacts on Ecosystem Service Value
    Remote Sensing (Anderson et al.)Published Jul 15, 2024Checked Oct 7, 2026
    “Light pollution has detrimental impacts on wildlife, human health, and ecosystem functions and services. This paper explores the impact of light pollution on the value of ecosystem services. We use the Simplified All-Sky Light Pollution Ratio (sALR) as a proxy for the negative impact of light pollution and the Copernicus PROBA-V Global Landcover Database as our proxy of ecosystem service value based on previously published ecosystem service values associated with a variety of landcovers. We use the sALR value to ‘degrade’ the value of ecosystem services. This results in a 40% reduction in ecosystem service value in those areas of the world with maximum levels of light pollution. Using this methodology, the estimate of the annual loss of ecosystem service value due to light pollution is USD 3.4 trillion. This represents roughly 3% of the total global value of ecosystem services and 3% of the global GDP, estimated at roughly USD 100 trillion in 2022. A summary of how these losses are distributed amongst the world’s countries and landcovers is also presented.”
  5. 5
    Urban Ecology: Impact of Noise and Light Pollution on Local Wildlife
    INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS (Kumari)Published Jan 1, 2026Checked Oct 7, 2026
    “The chronic effect of noise pollution is the activation of the hypothalamic-pituitary-adrenal (HPA) axis, which increases the levels of glucocorticoids and inhibits the pulsatility of the gonadotropin-releasing hormone (GnRH) and stimulates lipid peroxidation. Symbiotic environmental pollutants, such as polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds (VOCs) and nitrogen oxides (NOx) amplify these biochemical insults by stimulating the cytochrome P450 enzymes and producing the actions of secondary oxidative intermediates. An overview of published biochemical and Eco physiological evidence in avian, amphibian, and mammalian taxa has shown convergent evidence of hormonal perturbation and genotoxic stress. The results of this study demonstrate that incorporating environmental chemistry within urban wildlife management is critical, and such biomarkers as urinary 8-hydroxy-2'-deoxyguanosine (8-OHdG) in a 2-hydroxydeoxyuridine (H2O) form, plasma malondialdehyde (MDA), and faecal corticosterone metabolites are logical as routine surveillance tools of urban wildlife health.”
  6. 6
    Grasping darkness: the dark ecological network as a social-ecological framework to limit the impacts of light pollution on biodiversity
    Ecology and Society (Challéat et al.)Published Jan 1, 2021Checked Oct 7, 2026
    “Challéat, S., K. Barré, A. Laforge, D. Lapostolle, M. Franchomme, C. Sirami, I. Le Viol, J. Milian, and C. Kerbiriou. 2021. Grasping darkness: the dark ecological network as a social-ecological framework to limit the impacts of light pollution on biodiversity. Ecology and Society 26(1):15. https://doi.org/10.5751/ES-12156-260115”

How it changed

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  1. Version 2Oct 7, 2026Live now

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Open questions

  • What noise levels do data centres actually produce at nearby homes, and how do they compare with the 70 dBA threshold linked to hearing-loss risk?

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  • How does data-centre security and facility lighting affect nocturnal and specialist species in the surrounding area?

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  • What do residents living near data centres report about noise and light, and does it match the general noise-health evidence?

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  • Which mitigation measures — acoustic enclosures, shielding, motion-activated or downward-directed lighting — are effective for data centres specifically?

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  • How do data-centre noise and light combine with other local sources to affect people and wildlife cumulatively?

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