In 2022, around 55 percent of adult females in the United States stated that their sleep had a major impact on their mood, while around 42 percent of adult males reported the same. This statistic illustrates the impact of sleep on select aspects of life according to adults in the United States as of 2022, by gender.

As of 2022, around 35 percent of adults in the United States rated their last sleep quality as good, while 10 percent said their last sleep quality was poor. This statistic illustrates last night's sleep quality among adults in the United States as of 2022.

Introduction

Sleeping Statistics: Sleep is crucial for health and consists of multiple stages. Including Non-Rapid Eye Movement (NREM) and Rapid Eye Movement (REM) sleep.

A full sleep cycle lasts about 90 minutes, with adults typically needing 7-9 hours of sleep per night. The body's internal clock, or circadian rhythm, helps regulate sleep-wake patterns influenced by light and darkness.

Sleep hygiene, such as maintaining a regular schedule and creating a quiet, dark environment, is key for restful sleep.

Quality sleep supports cognitive function, mood regulation, and physical health, while chronic poor sleep is linked to various health risks. Factors like stress, diet, and medications can affect sleep quality.

In a survey from 1942, around 59 percent of U.S. adults indicated they slept eight hours or more per night. This percentage has decreased over time, dropping to 26 percent in 2023. At that time, the majority of respondents reported sleeping from six to seven hours nightly.

Introduction

Sleep Statistics: Sleep is a fundamental component of overall health, yet a significant portion of the adult population fails to obtain the recommended amount. Adults are advised to sleep between seven and nine hours per night. However, only 31% manage to achieve this duration for at least five nights each week. In the United States, approximately 35% of adults report sleeping less than seven hours per night.

The consequences of insufficient sleep are profound. Chronic sleep deprivation is linked to an increased risk of cardiovascular diseases, including heart attacks and strokes. It also elevates the likelihood of developing type 2 diabetes, obesity, and mental health disorders such as depression and anxiety. Moreover, sleep deficiency impairs cognitive functions, leading to decreased attention, memory lapses, and poor decision-making.

The economic impact is equally alarming. In the United States alone, insufficient sleep is estimated to cost over USD 411 billion annually due to lost productivity, increased healthcare expenses, and accidents.

Given these statistics, it is imperative to prioritize quality sleep as a cornerstone of health and well-being. Sleep deprivation can lead to both physical and mental health issues, a higher risk of mortality, and an increased likelihood of accidents. Let's delve deeper into sleep statistics in this article.

This statistic depicts the percentage of U.S. adults who said they got a select number of hours of sleep each night as of 2019, by generation. According to the data, 27 percent of Millennials had about 7 hours of sleep each night at that time. Comparatively, 37 percent of the Silent Generation had 7 hours each night.

In 2020, adults around the world varied greatly in their reported sleep satisfaction with two thirds of people in India satisfied with their sleep, compared to less than a third of people in Japan. This statistic shows the percentage of adults around the world completely or somewhat satisfied with their sleep in 2020, by country.

About this dataset

Context

The dataset tabulates the Ten Sleep population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Ten Sleep. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 93 (43.46% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Ten Sleep population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Ten Sleep is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Ten Sleep is shown in the following column.

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 Ten Sleep Population by Age. You can refer the same here

In 2022, around 29 percent of adult females in the United States reported they had trouble staying asleep last night, while around 28 percent of adult men reported the same. This statistic illustrates problems adults in the United States had when sleeping last night as of 2022, by age.

In 2023, U.S. adults indicated in a survey the actions they carried out to improve their sleep quality. While 19 percent of people stated they didn't use any method, 37 percent of respondents reported that they try to go to bed at the same time every night. The second most common strategy was to consume supplements or sleep medication. Other strategies included upgrading mattresses, pillows, or bedding, as well installing blackout curtains, using earplugs, and personal habits, like avoiding digital screens, the consumption of sleep nutraceutical, and aromatherapy.

Sleep EEG dataset from 8 subjects in European Data Format (EDF) including original recordings and their hypnograms as described in B Kemp, AH Zwinderman, B Tuk, HAC Kamphuisen, JJL Obery��. Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG. IEEE-BME 47(9):1185-1194 (2000). The recordings were obtained from Caucasian males and females (21 - 35 years old) without any medication; they contain horizontal EOG, FpzCz and PzOz EEG, each sampled at 100 Hz. The sc* recordings also contain the submental-EMG envelope, oro-nasal airflow, rectal body temperature and an event marker, all sampled at 1 Hz. The st* recordings contain submental EMG sampled at 100 Hz and an event marker sampled at 1 Hz. The 4 sc* recordings were obtained in 1989 from ambulatory healthy volunteers during 24 hours in their normal daily life, using a modified cassette tape recorder. The 4 st* recordings were obtained in 1994 from subjects who had mild difficulty falling asleep but were otherwise healthy, during a night in the hospital, using a miniature telemetry system with very good signal quality.

The data were used to examine "whether there were demographic differences in sleep attitudes and whether the interaction between demographic characteristics and sleep attitudes impacted sleep outcomes...." "One hundred seventy-two adults from across the United States completed an anonymous survey on sleep and health. Sleep attitudes varied according to age, gender, and race, with more positive sleep attitudes reported by older adults, women, and those who identified as White. Although positive sleep attitudes predicted more sleep and better quality sleep, these associations were modified by interactions of sleep attitudes with demographic characteristics. A more complex picture arose for the interaction between demographics and sleep attitudes predicting sleep outcomes..."

This statistic depicts the percentage of U.S. adults who said they got a select number of hours of sleep each night as of 2019, by gender. According to the data, 28 percent of females had about 7 hours of sleep each night at that time.

Between March and June 2020, among U.S. adults aged 50-80 years who got enough sleep just one day a week or less, 55 percent reported feeling a lack of companionship some of the time or often. In comparison, among those who got enough sleep every day or several times a week, while still high, just 38 percent felt a lack of companionship. This statistic depicts the percentage of older adults in the U.S. who reported feeling lonely or isolated during the COVID-19 pandemic from March to June 2020, by amount of sleep.

The purpose of this study was to investigate the association between various levels of physical activity, self-perception, cardiometabolic risk factors, and weekend catch-up sleep ratio (CSR). Using raw data from the Korea National Health and Nutrition Examination Survey 2018 – 2021, all participants were divided into three groups (< 1.0, 1.0 ≤ CSR < 1.5, or ≥ 1.5) by CSR, which is the value calculated by dividing weekend sleep time by weekday sleep time. After matching age and sex, 2,484 Korean adults were selected as study participants. Descriptive statistics, chi-square test, ANOVA, and multinomial logistic regression analysis were performed to analyze the data. The results showed a significant association between weekend CSR and socioeconomic status, physical activity, self-perception levels, and cardiometabolic risk factors. Specifically, compared to the reference group (1 ≤ CSR < 1.5), those with a CSR < 1 were 2.42 times more likely to live in a single-family house (OR = 2.42, 95% CI = 1.77 – 3.32) and 1.71 times more likely to engage in vigorous physical activity meeting WHO guidelines (OR = 1.71, 95% CI = 1.20 – 2.46). They were also 1.33 times more likely to perceive themselves as 'obese' (OR = 1.33, 95% CI = 1.00 – 1.76). Conversely, those in the CSR ≥ 1.5 group were 3.93 times more likely to be 'pink-collar' workers (OR = 3.93, 95% CI = 2.70 – 5.71), 1.72 times more likely to perceive their stress levels as 'quite' (OR = 1.72, 95% CI = 1.20 – 2.47), and 1.87 times more likely to have diabetes (OR = 1.87, 95% CI = 0.97 – 3.60). Alterations in CSR could indicate changes in physical activity levels, sedentary behavior duration, and other health indicators, ultimately influencing overall well-being. Therefore, a comprehensive healthcare approach incorporating CSR considerations is increasingly essential. Methods This cross-sectional study used data from the Korea National Health and Nutrition Examination Survey (KNHANES) during 2018 – 2021. The KNHANES is a comprehensive national survey implemented across South Korea. Its primary objective is to consistently accumulate data annually encompassing various elements, including sociodemographic indicators, economic status, and health-related characteristics and behaviors across all age demographics. Since 2007, this body of data has undergone review and received an annual endorsement by the Research Ethics Review Committee from the Korea Centers for Disease Control and Prevention Agency (KDCA). The KNHANES data is an open-access resource for scholars, enabling further exploratory analysis and research in numerous fields. The KNHANES for 2018 – 2021 was conducted with 30,551 respondents. However, 5,616 individuals under 20 years were excluded from the data to align with the research parameters. In addition, participants who did not respond to the critical variables under examination were also eliminated from consideration. The remaining participants were classified into three distinct groups according to their CSR (Group A: CSR < 1, Group B: 1 ≤ CSR < 1.5, Group C: 1.5 ≤ CSR). These groups contained Group A=1,112, Group B=18,743, and Group C=1,233 participants, respectively. Then, we matched participants based on age and sex, using the group A, which had the smallest sample size as the reference group. As a result of this stringent selection process, a balanced cohort of 828 participants from each group was extracted, resulting in a total study sample of 2,484 individuals.

As of 2022, around 48 percent of adult men aged 18 years and older in the United States stated that getting good sleep on a typical weekday is a major priority for them. This statistic illustrates the percentage of adults in the United States who said getting good sleep on a typical weekday is a major priority as of 2022, by gender.

BackgroundPsychoactive substance use in adults and second-hand smoke (SHS) exposure among children are leading contributors to sleeping problems. Despite this, there is limited data on how these exposures influence sleep patterns in informal settings. Our study assessed the associations between substance use, SHS exposure and sleep disturbances among adults and children in an urban informal settlement in Uganda.MethodsWe conducted a cross-sectional study in an urban informal settlement in Kampala, Uganda. Data was collected on self-reported sleep problems among adults including sleep duration, insomnia and sleep dissatisfaction, as well, as sleep-disordered breathing (SDB) in children. We evaluated children’s early-life SHS exposure and psychoactive substance use in adults using questionnaires. We modelled the associations between the exposures and sleep problems in adults and children using modified Poisson regression.ResultsData were collected from 284 adults, who also reported on their children’s sleep experience. Among adults, 59.2% reported insufficient sleep (less than 7 hours), 34.9% experienced insomnia, and 28.3% were dissatisfied with their sleep patterns. Active smoking was associated with insomnia (Prevalence Ratio (PR) = 2.74, 95% Confidence Interval (CI): 1.14–6.59), and alcohol use was associated with sleep dissatisfaction (PR = 1.81, 95% CI 1.23–2.69). In children, 40.0% (88/220) exhibited SDB problems. Those exposed to SHS either during pregnancy or within six months post-birth had a higher risk of SDB than unexposed children (PR = 1.78, 95% CI 1.21–2.61). The risk was also elevated for children exposed to SHS during both periods (PR = 1.48, 95% CI 1.02–2.13).ConclusionsOur findings suggest that smoking was associated with insomnia and alcohol with sleep dissatisfaction among adults. Early-life SHS exposure was associated with an increased risk of SDB in children. These results emphasize the need to support ongoing public health initiatives and maintain a smoke-free environment, particularly for children in their early life.

Transcriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping versus awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is because the previous studies pooled transcripts from all brain cells, including neurons and glia. In the following experiment, we studied the specific effects of sleep and wake conditions on glia cells of mouse cerebral cortex using the genetically targeted translating ribosome affinity purification (TRAP) methodology. We used bacterial artificial chromosome (BAC) transgenic mice expressing EGFP tagged ribosomal protein L10a in astrocytes which constitute a defined cellular population of the mouse brain. Using this approach, we could extract only the astrocytic mRNAs, and only those already committed to be translated into proteins (L10a is part of the translational machinery). Overall design: Six mice for each vigilant state group (sleep (S), waking (W), and sleep deprivation (SD)) were considered. For each animal, cerebral cortex was dissected and immediately processed. Samples were immunoprecipitated to isolate astrocytes. The precipitated portion formed the bound sample (IP) containing astrocytes and the remaining part formed the unbound sample (UB) containing all the remaining cell types (neurons and other glia cells). Then, both IP and UB samples were processed and RNA was extracted. All the IP samples (n=18) were then hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 arrays, while UB samples were pooled together in two biological replicates (UB1+UB2+UB3 and UB4+UB5+UB6) for each group (n=6 in total) and then hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 arrays.

ObjectiveThe purpose of this study was to determine the sleep stage during which isolated snoring occurs in children and adults, and to analyze changes after treatment of obstructive sleep apnea (OSA).MethodsThis retrospective study examined duration of snoring time and respiratory events during each sleep stage in adults and children who underwent polysomnography, had an apnea-hypopnea index (AHI) < 15/h and had snoring time ≥ 10% of total sleep time. Changes in duration of snoring time were also examined in adult patients after treatment with an oral appliance (OA).ResultsSnoring time was shown to be predominant during N3 and N2 sleep and less dominant during REM sleep in both children (n = 47) and adults (n = 93). These results were seen even in children with REM dependency. The percentage of snoring time during N3 sleep was more pronounced in women than in men among young adult patients aged < 40 years but was not significantly different between men and women overall. There were no significant differences in the percentage of snoring time in each sleep stage between young women with mild OSA and non-OSA. In children, there were no significant differences between boys and girls in the percentage of snoring time in any sleep stage. The percentage of snoring time during N3 was significantly higher sleep in the non-supine position than in the supine position in children, whereas no significant differences were noted between the supine and non-supine positions in any sleep stage in adults. OA treatment for adult patients (n = 20) significantly increased the percentage of snoring time during N3 sleep, although it significantly decreased AHI, total snoring time, and snoring time during N1 sleep and REM sleep.ConclusionsSnoring presented exclusively during the N3 sleep stage, especially in young women with mild OSA, and in children with OSA, especially in the non-supine position. Snoring time during N3 sleep increased during OA treatment for OSA.

As of 2022, around 30 percent of adults aged 18 years and older in the United States who got 6 to less than 7 hours of sleep per day rated their sleep quality in the last month as either fair or poor. This statistic illustrates the sleep quality of adults in the United States in the past month as of 2022, by duration.