The highest number of unintentional-injury-related deaths at home in the United States occurred in 2022 with ******* such deaths. This statistic shows a timeline of the number of unintentional-injury-related deaths at home in the United States from 1930 to 2023.

This statistic displays the share of adults who have experienced common accidents that take place in the home in the United Kingdom (UK) as of 2015. Over ********* of respondents have experienced burns from electrical items.

This statistic displays the share of household safety risk factors affecting mums and dads in the United Kingdom (UK) in 2015. Of respondents, ** percent of dads admit to having burnt themselves while cooking, while ** percent of mums admitted to drilling through wires in the wall.

The social- and health care system is still very interested in accident statistical data since surveys on accidents during sportive activities, recreational time or in the household are neither conducted regularly nor comprehensively (in contrast to traffic- and occupational accidents). However, the number of these accidents surpasses all others. Already in 1970 and 1980 Mikrozensus special surveys had been conducted on the topic of accidents during sportive activities, recreational time or in the household. This special program is now repeated. Appropriated modifications of the question catalogue were needed.

ABSTRACT Objective: to analyze the factors associated with childhood accidents at home according to the levels of the social determinants of health. Method: integrative review of the literature, with research in databases CINAHL, LILACS and PubMed, with the following main descriptors: child; social determinants of health; accidentes, home. We included 31 studies that related the social determinants of health and childhood accidents, in English, Portuguese and Spanish. Results: the proximal determinants identified were: age and sex of children, and ethnicity. Among the intermediate determinants of health, parental behavior, related to the supervision of an adult, prevailed. Parental employment and socioeconomic status were identified as distal determinants. Conclusion: the age and sex of the child, besides direct supervision, were the determinants most associated with accidents. The distal determinants should be better studied because their relation with the occurrence of domestic accidents has not been sufficiently clarified.

The consultants of the health and social statistics recommended the December 1997 survey to be on the topic of accidents during sportive activities, recreational time or in the household and smoking habits. These topics had already been part of several Mikrozensus survey, in the years 1970, 1980 and 1989 on accidents and in the years 1972, 1979 and 1986 on smoking habits. There had also been a questions on smoking habits in the special program “questions on health” from December 1991. The social- and health care system is very interested in accident-statistical data since these statistics are neither conducted regularly nor comprehensively (in contrast to traffic- and occupational accidents). However, the number of these accidents surpasses all others. Relevant data on accidents is only provided by the Mikrozensus. The evaluation of the smoking habits should on the one hand show the development of the Austrian population’s smoking habits over the years and on the other hand show the efficacy of the educational work (anti-smoking-campaigns) and other preventive measures against tobacco-related diseases (cancer, heart attack, vascular diseases, etc. )

As of February 2023, around *** thousand individuals in Italy, aged 15 years and older, suffered a domestic accident during the past three months before the surgery. This statistic breaks down this figure by occupation of the injured individuals. According to the data, there were *** thousand domestic accidents among white-collar workers and *** thousand among retired people.

Already in December 1970 (Mikrozensus MZ7004) a Mikrozensus special survey had been conducted on this topic. After ten years this special program is now repeated. Appropriated modifications of the question catalogue were needed. The social- and health care system is still very interested in this accident statistical data since surveys on accidents during sportive activities, recreational time or in the household are neither conducted regularly nor comprehensively (in contrast to traffic- and occupational accidents).

These resources help support personal safety or help to improve home safety for persons living with dementia or memory loss. The services listed are specific to older adults and are generally inclusive of persons with dementia while not being explicitly dementia specific service.

As of February 2023, around *** thousand individuals in Italy, aged six years and older, suffered a domestic accident during the three months before the survey. This statistic breaks down this figure by level of education of the injured individuals. According to the data, there were *** thousand domestic accidents among people having only a primary school certificate or no education.

Comprehensive demographic dataset for Accident, MD, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Data from 2014 limited to first 3 to 5 months.Intentional and unintentional injuries by year and type, 2003–2014.

Domestic violence injuries by type as reported by the City of Clarkston Police Department to NIBRS (National Incident-Based Reporting System), Group A.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Accident: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 44(22.92%) households where the householder is under 25 years old, 61(31.77%) households with a householder aged between 25 and 44 years, 51(26.56%) households with a householder aged between 45 and 64 years, and 36(18.75%) households where the householder is over 65 years old.
• In Accident, the age group of 25 to 44 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Accident median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Accident. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Accident. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Accident, the median household income stands at $100,179 for householders within the 25 to 44 years age group, followed by $83,750 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $41,250.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Accident median household income by age. You can refer the same here

This table contains 6720 series, with data for years 1994 - 1998 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Geography (5 items: Territories; Northwest Territories including Nunavut; Northwest Territories; Yukon ...), Age group (14 items: Total; 12 years and over; 12-19 years; 12-14 years; 15-19 years ...), Sex (3 items: Both sexes; Females; Males ...), Injuries (4 items: No injuries in past 12 months; Injuries in past 12 months; not stated; Injuries within past 12 months; Total population for the variable injuries ...), Characteristics (8 items: Number of persons; Low 95% confidence interval - number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons ...).

ABSTRACT Purpose: to check the effect of an educational intervention on the prevention of domestic child accidents, carried out by Speech Therapy trainees. Methods: an interventional research that uses primary research data. The action was done by two interns of Speech Therapy with 30 caregivers of children who attended a Family Health Unit. For the carrying out of the educational intervention, two pictures with images which represented objects and situations of risk of accidents were used. Two interview scripts were elaborated, which allowed to identify the caregivers’ personal data and their knowledge about the risks of child accidents in the domestic environment before and after carrying out of the educational intervention. Results: before the educational action, the caregivers identified 187 situations for child accidents, and after the intervention, 215 dangers were identified. Among the 30 caregivers who participated, 23 had significant changes in their answers and seven did not have any change in their knowledge. The main change was in relation to "Accidental poisoning-intoxication by exposure to harmful chemicals" and "The impact caused by an object thrown, projected or falling". Conclusion: the intervention promoted an increase in the participants’ correct reports, and it can be incorporated to the actions of accidents prevention carried out by the trainees and professionals of Speech Therapy who work in basic healthcare.

The highest rate of unintentional-injury-related deaths at home in the United States was **** per 100,000 population in 2021 and 2022. This statistic shows the rate of unintentional-injury-related deaths at home in the United States from 1930 to 2023, per every 100,000 population.

This table contains 14784 series, with data for years 1994 - 1998 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Age group (14 items: Total; 12 years and over; 12-14 years; 12-19 years; 15-19 years ...), Sex (3 items: Both sexes; Females; Males ...), Injuries (4 items: Total population for the variable injuries; Injuries in past 12 months; not stated; No injuries in past 12 months; Injuries in past 12 months ...), Characteristics (8 items: Number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons; Low 95% confidence interval - number of persons ...).