The highest rate of deaths due to drowning in the United States was 11.1 per 100,000 population in 1905. This statistic shows a timeline of the rate of unintentional deaths due to drowning in the United States from 1905 to 2023.

In the United States, the death rate by drowning for children and adolescents was highest among kids aged 1 to 4 years, reaching 2.4 deaths per 100,000 population in 2019. This statistic illustrates the rate of unintentional deaths by drowning among children and adolescents in the U.S. from 1999 to 2019, by age (per 100,000).

In financial year 2023, it was reported that ** people drowned in swimming pools across Australia. This was a slight increase compared to the previous year.

Age-adjusted rate of deaths from drowning by sex, race/ethnicitiy, age; trends if available. Source: Santa Clara County Public Health Department, VRBIS, 2007-2016. Data as of 05/26/2017; U.S. Census Bureau; 2010 Census, Tables PCT12, PCT12H, PCT12I, PCT12J, PCT12K, PCT12L, PCT12M; generated by Baath M.; using American FactFinder; Accessed June 20, 2017. METADATA:Notes (String): Lists table title, notes and sourcesYear (String): Year of data; presented as three year moving average or 10 year pooled (2007 to 2016)Category (String): Lists the category representing the data: Santa Clara County is for total population, sex: Male and Female, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only); age categories as follows: <18, 18 to 44, 45 to 64, 65+; Healthy People 2020 target.Rate per 100,000 people (Numeric): Rate of deaths from drowning. Rates for age groups are reported as age-specific rates per 100,000 people. All other rates are age-adjusted rates per 100,000 people.

Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

This statistic depicts the average number of yearly deaths from unintentional drowning in Canada from 1991 to 2015. According to the data, there were an average of *** drowning deaths per year in Canada from 2011 to 2015.

Unintentional injury is the fourth leading cause of death in the United States, and mortality due to injury has risen over the past decade. The social determinants behind these rising trends have not been well documented. This study examines the relationship between county-level poverty and unintentional injury mortality in the United States from 1999–2012. Complete annual compressed mortality and population data for 1999–2012 were obtained from the National Center for Health Statistics and linked with census yearly county poverty measures. The outcomes examined were unintentional injury fatalities, overall and by six specific mechanisms: motor vehicle collisions, falls, accidental discharge of firearms, drowning, exposure to smoke or fire, and unintentional poisoning. Age-adjusted mortality rates and time trends for county poverty categories were calculated, and multivariate negative binomial regression was used to determine changes over time in both the relative risk of living in high poverty concentration areas and the population attributable fraction. Age-adjusted mortality rates for counties with > 20% poverty were 66% higher mortality in 1999 compared with counties with < 5% poverty (45.25 vs. 27.24 per 100,000; 95% CI for rate difference 15.57,20.46), and that gap widened in 2012 to 79% (44.54 vs. 24.93; 95% CI for rate difference 17.13,22.09). The relative risk of living in the highest poverty counties has increased for all injury mechanisms with the exception of accidental discharge of firearms. The population attributable fraction for all unintentional injuries rose from 0.22 (95% CI 0.13,0.30) in 1999 to 0.35 (95% CI 0.22,0.45) in 2012. This is the first study that uses comprehensive mortality data to document the associations between county poverty and injury mortality rates for the entire US population over a 14 year period. This study suggests that injury reduction interventions should focus on areas of high or increasing poverty.

ObjectiveTo analyze trends in external mortality in Hungary between 1995 and 2014 by sex.MethodsData on the numbers of deaths due to external causes were obtained from the published nationwide population register. Negative binomial regression was applied to investigate the yearly trends in external-cause mortality rates. Cyclic trends were investigated using the Walter-Elwood method.ResultsSuicide and accidents accounted for approximately 84% of the all-external-cause of deaths in Hungary. Annual suicide, unintentional falls and traffic accidents mortality declined significantly (p-value for annual trend: p < 0.001) from 30.5 (95% CI: 29.5–31.5) to 15.8 (15.1–16.5), from 31.2 (30.2–32.2) to 12.2 (11.7–12.8) and from 17.2 (16.4–18) to 5.4 (5–5.8) per 100 000 persons per year, respectively, during the study period. A significant declining trend in annual mortality was also found for assault, cold/heating-related accidents and accidents caused by electric current. However, the declining trend for drowning-related accidents was significant only for males. Significant winter-peak seasonality was found in the mortality rates from accidental falls, cold/heat-related accidents, other accidents caused by submersion/obstruction and other causes. Seasonal trends with a peak from June to July were observed in death rates from suicide/self-harm, accidental drowning/submersion and accidents caused by electric current. A significant seasonal variation with a peak in September was revealed in the mortality due to traffic accidents.ConclusionsThis Hungarian study suggests that there was a significant seasonal effect on almost all kinds of deaths from external causes between 1995 and 2014. Environmental effects are involved in the aetiology of suicide and accidents.

OECD drowning mortalityDrowning mortality rates by intent among OCED countries

No. of Deaths: Caused by: Drowning data was reported at 141.000 Person in Sep 2024. This records a decrease from the previous number of 173.000 Person for Jun 2024. No. of Deaths: Caused by: Drowning data is updated quarterly, averaging 171.000 Person from Mar 2017 (Median) to Sep 2024, with 30 observations. The data reached an all-time high of 225.000 Person in Mar 2021 and a record low of 50.000 Person in Sep 2017. No. of Deaths: Caused by: Drowning data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.G012: Number of Deaths: Cause of Death.

This table provides data since 2010 on drownings and submersions by sex. The information is disaggregated territorially at the level of municipalities in the Canary Islands.

This study aimed to analyze changing trends in child injury deaths from 2006 to 2016 and to provide basic data for initiatives to help prevent child injury deaths through improvements in social systems and education. Specific causes of death were analyzed using micro-data of the death statistics of Korea from 2006 to 2016, which were made available by Statistics Korea. Types and place of death were classified according to the KCD-7 (Korean Standard Classification of Diseases and Causes of Death). The data were compared to those of other Organization for Economic Co-operation and Development countries. Changing trends were presented. The number of child deaths by injury was 270 in 2016. The death rate was 8.1 per 100,000 population in 2006, while it was 3.9 in 2016. The death rate of boys was 1.7 times greater than that of girls. Unintentional injury deaths comprised 72.6% of all child injury deaths in 2016, while intentional injury deaths comprised 27.4%. The first leading cause of unintentional injury deaths in infants (less than 1-year-old) was suffocation, while that of children aged 1-14 years was transport accidents. The second leading cause of death in infants was transport accidents, that of children aged 1-4 was falling, and that of children aged 5-14 was drowning. Pedestrian accidents comprised 43.7% of the transport accidents from 2014 to 2016. To prevent child injury deaths by both unintentional and intentional causes, nation-wide policy measures and more specific interventions according to cause are required.

The statistic depicts the total number of drowning deaths in swimming pools in Australia in financial year 2018, by age group. It was reported that ** children who were four years old or younger drowned in swimming pools in Australia in financial year 2018.

Anti Drowning Systems Market size was valued at USD 82.20 Million in 2023 and is projected to reach USD 127.80 Million by 2031, growing at a CAGR of 5.70% from 2024 to 2031.

Global Anti Drowning Systems Market Overview

The ‘Global Anti Drowning Systems Market’ is witnessing significant growth owing to various driving factors such as rise in drowning incidents and increasing awareness about water safety. With reports from organizations like the World Health Organization highlighting thousands of preventable drowning deaths annually, there is growing pressure on residential, commercial, and public aquatic facilities to prioritize safety measures. Simultaneously, campaigns by governments and NGOs have raised public awareness about the importance of proactive drowning prevention technologies. This combination of urgency and awareness is fueling the demand for advanced solutions like wearable and mounted anti-drowning systems in pools, water parks, spas, and other aquatic environments.

Total numbers of deaths by age during the 20 years of study in Hungary.

Bathing facilities and health phronesis: tackling English obesity. Mixed methods sequential research in five phases.
Research questions and hypotheses • RQ1: Does the geospatial distribution of swimming facilities impact health? (Nomothetic). (H10: Pools is insignificant vs. H1A: Pools is significant) • RQ2: Is the construction of swimming pools adequate for national health need? (Nomothetic). (H20: Forecast pool construction stable vs. H2A: Forecast pool construction increases) • RQ3: What policy learning emerges from idiosyncratic cases? (Idiographic & qualitative) Approach After problematisation (1) and structured literature review (2), the study conducted cross-sectional analysis of excess mortality and swimming pools (3a & 3b) and longitudinal analysis of pool construction (3c-e). Cross-sectional investigation involved factor analysis (3a) to explore and regression to analysis (3b) to investigate English mortality and its covariates (3b). The For the time series analysis, the study analysed 120 years of English pool construction data using autoregressive distributed lag models - ARIMA (3c), ADL (3d) and ECM (3e).
Data Cross sectional analysis Deaths (DV, Yd): ONS standardised mortality ratio (2013-2017). Observed total deaths from all causes (by five year age and gender band) as a percentage of expected deaths.
Access Leisure (IV, X1): reflects accessibility to 727 leisure centres, swimming baths or 2,738 health clubs in kilometres. Liverpool University’s Consumer Data Research Centre, Access to Healthy Assets and Hazards (AHAH) index. Obesity (IV, X2): percentage of adult population with a body mass index (BMI) of 30 kg/m2 or higher, age-standardized, WHO 2389 NCD_BMI_30 (2020). Deprivation (IV, X3): deprivation score for English small areas, sourced from Index of Multiple Deprivation (2019). Environment (IV, X4) measures accessible blue and green space, sourced via SE (2020), data constitutes an element of AHAH (2017).
Pools (IV, X5): reflects pools per 10,000 in 2018. Data extracted from SE Active Places Power (APP) Time series analysis Pools constructed (PC & ∆PC): English swimming pools constructed each year during a 120 year period since 1900, SE Active Places Power (2020) database. English output (GDP & ∆GDP): Bank of England millennium of macroeconomic data UK (2017) provides historical macroeconomic and financial statistics.
English population (Pop & ∆Pop): English population and population growth 1900-2020, Office for National Statistics (ONS): Total population (2018).

Age-standardised mortality rates per 100 000 persons in Hungary between 1995 and 2014.

In 2023, July was the deadliest month for drowning deaths in the United States with 700 such deaths. This statistic shows the number of deaths in the U.S. from drowning in 2023, by month.

According to Cognitive Market Research, the market size of the Automatic Swimming Pool Monitoring System Market was XX Million in 2023. This industry’s compounded annual growth rate projected to be is XX% from 2024 to 2031. The rising mortality in swimming pools and product line expansion and technological advancementhas accelerated the implementation of safe methods like automatic swimming monitoring systems.
Under the type segment, quality monitoring holds the dominant share with around XX share of revenue. A safe and comfortable swimming experience is ensured by quality monitoring systems, which evaluate water quality factors including pH and chlorine levels. As a result, these systems generated the greatest income. North America holds the dominant share in this industry because of the awareness of this technology among the masses. With developed countries like the United States and Canada and many such countries being developed, they have the awareness of keeping the swimming pools in optimal conditions and not ignoring its severe consequences. Major players in the pool industry are using smart pool technologies where they have developed automated monitoring and control systems which makes easy for the owners to manage their water quality, temperature and pH level through smartphone.

Market Dynamics of Automatic Swimming Pool Monitoring Systems

Key Drivers

The rising mortality in swimming pools has accelerated the implementation of safe methods like automatic swimming monitoring systems. 

Deaths caused in the swimming pool are one of the leading causes of unintentional injury death. These deaths account for almost 7% of all injury deaths. According to Dr Monica Chahar, a Dermatologist at Skin Décor states that individuals who have weaker immune systems, open wounds, or any skin-related problems are more prone to swimming in water. If the water’s pH scale, chlorine, or water temperature is not maintained then these individuals are susceptible to micro-organisms present in the water. Another such statement from Dr. Chawla is that if swimmers inhale contaminated water or if it is inhaled through the nose then it can result in diarrhoea, sinusitis, or pneumonia. Such risky consequences have led to the strict monitoring and regulating of the swimming pools with the help of an automatic swimming monitoring system which assists in having a moderate pH of 7.4-7.6 as well as maintained water temperature. Apart from this, an automatic swimming monitoring system also helps in the prevention of drowning incidents. According to the World Health Organization, worldwide, the number of drowning deaths is estimated to be 236,000 every year with the largest death rates in the Western Pacific Region than those in the United Kingdom or Germany. Hence for such rising death incidents due to drowning, this system helps in catering the reduction of such incidents. For instance, SwimEye is a technology for computer vision detection designed to stop drowning accidents in swimming pools. All swimmers' movements in a pool are monitored by recognition software. SwimEye will also alert pool lifeguards in the case of a major drowning occurrence. Initiating a rescue can be made easier for lifeguards by improving their reaction time. (Source: https://swimeye.com/#:~:text=A%20drowning%20detection%20and%20prevention%20system,-SwimEye%20is%20a&text=of%20your%20pool.-,Our%20object%20recognition%20software%20tracks%20the%20movements%20of%20all%20swimmers,an%20alarm%20to%20pool%20lifeguards.)

The enhancement of the Automatic Swimming Pool Monitoring System driver is the result of product line expansion and technological advancement.

Innovative automatic swimming pool monitoring systems have been developed by manufacturers in terms of design, build quality, functionality, and smart connection through the application of new technologies and product innovation in this field. If a device has features like intelligent monitoring, mobile app-based notifications, and self-feeding systems, consumers don't mind paying extra for it. Products are now more upscale as a result of these market trends and analyses. Brand interaction with customers is enhanced via premiumization. Swimming pool automated surveillance systems have recently made use of the integration of computer vision and the Internet of Things...

Drowning deaths in rivers by sex, age group, state or territory of incident, Aboriginal and/or Torres Strait Islander status and remoteness classification of incident location, crude drowning rate per 100,000 population and relative risk (RR) with 95% confidence interval (CI), Australia, 2002/03 to 2011/12 (N = 770).