In 2022, among those with medical debt, 48 percent of female adults in the United States stated that they currently had medical debt, while 34 percent of male adults stated the same. This statistic illustrates the percentage of adults in the United States who have medical debt, by gender.

Graph and download economic data for Unemployment Rate for Adults in the United States (DISCONTINUED) (USAURANAA) from 1970 to 2012 about adult, unemployment, rate, and USA.

This report uses 2012 to 2014 National Survey on Drug Use and Health (NSDUH) data to percentages of past month cigarette use, average number of cigarettes smoked in the past month, prevalence of smoking cessation among adults with past year mental illness in comparison to adults with no past year mental illness.

Data on normal weight, overweight, and obesity among adults aged 20 and over by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. SOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

According to an April 2024 survey, 34 percent of adults in the United States preferred to use traditional search engines for online search. However, the use of social media usage for finding information online is growing as a trend, especially among younger generations. Approximately 18 percent of respondents used both methods for online searches depending on specific needs, while 48 percent of interviewees primarily used either social media or search engines for this task.

United States Prevalence of Overweight: % of Adults data was reported at 67.900 % in 2016. This records an increase from the previous number of 67.400 % for 2015. United States Prevalence of Overweight: % of Adults data is updated yearly, averaging 55.200 % from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 67.900 % in 2016 and a record low of 41.000 % in 1975. United States Prevalence of Overweight: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Health Statistics. Prevalence of overweight adults is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;;

United States US: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 133.993 Ratio in 2015. This records an increase from the previous number of 131.567 Ratio for 2014. United States US: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 176.083 Ratio from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 240.957 Ratio in 1968 and a record low of 131.037 Ratio in 2013. United States US: Mortality Rate: Adult: Male: per 1000 Male Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;

This data represents the age-adjusted prevalence of high total cholesterol, hypertension, and obesity among US adults aged 20 and over between 1999-2000 to 2017-2018. Notes: All estimates are age adjusted by the direct method to the U.S. Census 2000 population using age groups 20–39, 40–59, and 60 and over. Definitions Hypertension: Systolic blood pressure greater than or equal to 130 mmHg or diastolic blood pressure greater than or equal to 80 mmHg, or currently taking medication to lower high blood pressure High total cholesterol: Serum total cholesterol greater than or equal to 240 mg/dL. Obesity: Body mass index (BMI, weight in kilograms divided by height in meters squared) greater than or equal to 30. Data Source and Methods Data from the National Health and Nutrition Examination Surveys (NHANES) for the years 1999–2000, 2001–2002, 2003–2004, 2005–2006, 2007–2008, 2009–2010, 2011–2012, 2013–2014, 2015–2016, and 2017–2018 were used for these analyses. NHANES is a cross-sectional survey designed to monitor the health and nutritional status of the civilian noninstitutionalized U.S. population. The survey consists of interviews conducted in participants’ homes and standardized physical examinations, including a blood draw, conducted in mobile examination centers.

As part of the Mental Health Surveillance Study (MHSS), the Substance Abuse and Mental Health Services Administration (SAMHSA) conducted a clinical follow-up survey via telephone on a subsample of the National Survey on Drug Use and Health (NSDUH) adult respondents from 2008 to 2012 to assess the prevalence of selected mental disorders. The purpose of this clinical data collection was to use the data to develop statistical models that would provide national and state estimates of serious mental illness (SMI) when combined with NSDUH data.This report outlines the revisions made to the 2008 models to predict SMI.

The dataset, "Heart Attack in Youth vs. Adults in America", contains 500,000 synthetic records detailing health, lifestyle, and demographic factors contributing to heart attack risks among youth and adults in the United States. This dataset can help researchers and data enthusiasts analyze patterns, predict risk levels, and understand disparities between age groups and regions in terms of heart health.

Insights Beginners, Intermediate, and Advanced Users Can Derive:

For Beginners:

Descriptive Statistics:

Calculate average cholesterol levels or blood pressure for youth vs. adults. Determine the distribution of heart attack risk levels across different states or demographics.

Data Visualization:

Visualize the distribution of obesity indices across age groups. Plot the survival rates based on risk levels.

For Intermediate Users:

Exploratory Data Analysis (EDA):

Investigate the correlation between lifestyle factors (e.g., dietary habits, smoking history) and heart attack risk levels. Compare access to healthcare between low-income and high-income groups.

Predictive Modeling:

Build a logistic regression or decision tree model to predict high-risk individuals. Use clustering techniques to group individuals based on heart attack risks.

For Advanced Users:

Deep Analysis and Insights:

Perform a time series analysis on hospital visits and prior heart attacks. Use advanced ML algorithms (e.g., Gradient Boosting, Neural Networks) for risk prediction and survival rate forecasting.

Feature Engineering:

Create new features, such as BMI categories or healthcare accessibility indices. Analyze the interaction effects between physical activity, obesity index, and smoking history.

Explainable AI:

Use SHAP (SHapley Additive exPlanations) to understand model predictions. Identify biases in predictions related to ethnicity or access to healthcare.

This survey collected information on participants in adult and continuing education activities throughout the 50 states and the District of Columbia. Conducted by the Bureau of the Census as part of the CURRENT POPULATION SURVEY, May 1969 (ICPSR 7996), the adult education survey collected information on types of courses taken, types of institutions or agencies offering courses, reasons for taking the courses, and the respondent's age, sex, and race. These data are related to additional socioeconomic and demographic information collected at the same time in PARTICIPATION IN ADULT EDUCATION [UNITED STATES]: DEMOGRAPHICS FOR MAY 1969 AND MAY 1972 (IPCSR 2298).

This report uses 2009 to 2014 NSDUH data, and 1999 and 2009 to 2014 data from the National Vital Statistics System to examine the percentages of suicidal thoughts and behaviors versus suicidal death rates among the middle-aged.

The data for this report, including forecasts, are sourced from the US Census Bureau and IBISWorld. The estimates provided refer to the population as of July 1 for that year. The forecasts in this report assume that fertility rates will continue to decline before stabilizing.

This statistic shows share of adults in the United States who do not use the internet as of February 2021, broken down by age group. The findings show that only one percent of respondents aged between 18 and 29 years old did not use the internet, compared to 25 percent of adults aged 65 or above.

This report presents estimates of the numbers and percentages of adults aged 18 or older with past 12-month mental disorders, as assessed by the Mental Health Surveillance Study (MHSS) clinical study, a subset to the 2008 to 2012 National Survey of Drug Use and Health (NSDUH). The assessment included a modified version of the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID-I). The assessed disorders included mood disorders; anxiety disorders, including obsessive compulsive disorder [OCD], and posttraumatic stress disorder [PTSD]; substance use disorders; eating disorders; other disorders; and a screener for psychotic symptoms. Results are presented by gender, age group, race/ethnicity, family income, education, county type, poverty level, employment, marital status, Census region, and health insurance coverage.

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What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. This dataset contains over 48,000 rows of data based on US census data. This dataset is used to determine whether an adult's income exceeds $50K/yr based on 14 different attributes collected. The dataset contains a distribution of 23.93% entries labelled with >50k and 76.07% entries labeled with < with <=50k. The attributes are as follows:

age workclass (eg. private, local-gov, never-worked...) fnlwgt (the number of people the census believes the entry represents) education education-num marital-status occupation relationship race sex capital-gain capital-loss hours-per-week native country label (whether the individual makes more than $50,000 annually)

Actual value and historical data chart for United States Mortality Rate Adult Male Per 1 000 Male Adults

As of July 2024, the largest age group among the United States population were adults aged 30 to 34 years old. There were 11.9 million males and some 12.1 million females in this age cohort. The total population of the country was estimated to be 340.1 million Which U.S. state has the largest population? The United States is the third most populous country in the world. It is preceded by China and India, and followed by Indonesia in terms of national population. The gender distribution in the U.S. has remained consistent for many years, with the number of females narrowly outnumbering males. In terms of where the residents are located, California was the state with the largest population. The U.S. population by race and ethnicity The United States poses an ethnically diverse population. In 2023, the number of Black or African American individuals was estimated to be 45.76 million, which represented an increase of over four million since the 2010 census. The number of Asian residents has increased at a similar rate during the same time period and the Hispanic population in the U.S. has also continued to grow.

A survey from 2024 found that around 28 percent of adults in the United States had at one point in their lifetime been told by a healthcare provider that they had high blood pressure. This statistic shows the percentage of adults in the United States who reported ever being told by a healthcare provider that they had select health conditions.

As of March 2024, 37 percent of surveyed adults in the United States rated their familiarity with the word metaverse as very low. Overall, just one in ten responding adults stated they were very familiar with the concept of the metaverse in the context of gaming, digital content, and digital entertainment.