In 2023, the leading causes of death among children and adolescents in the United States aged 10 to 14 were unintentional injuries, intentional self-harm (suicide), and cancer. That year, unintentional injuries accounted for around 26 percent of all deaths among this age group. Leading causes of death among older teens Like those aged 10 to 14 years, the leading cause of death among older teenagers in the U.S. aged 15 to 19 years is unintentional injuries. In 2023, unintentional injuries accounted for around 39 percent of all deaths among older teens. However, unlike those aged 10 to 14, the second leading cause of death among teens aged 15 to 19 is assault or homicide. Sadly, the third leading cause of death among this age group is suicide, making suicide among the leading three causes of death for both age groups. Teen suicide Suicide remains a major problem among teenagers in the United States, as reflected in the leading causes of death among this age group. It was estimated that in 2021, around 22 percent of high school students in the U.S. considered attempting suicide in the past year, with this rate twice as high for girls as for boys. The states with the highest death rates due to suicide among adolescents aged 15 to 19 years are New Mexico, Idaho, and Oklahoma. In 2023, the death rate from suicide among this age group in New Mexico was 27.7 per 100,000 population. In comparison, New Jersey, the state with the lowest rate, had just 5.5 suicide deaths among those aged 15 to 19 years per 100,000 population.

Families of tax filers; Census families with children by age of children and children by age groups (final T1 Family File; T1FF).

The leading causes of death among children aged 5 to 9 years in the United States in 2023 were unintentional injuries, cancer, and congenital malformations, deformations, and chromosomal abnormalities. At that time, unintentional injuries accounted for around 27 percent of all deaths among this age group. Child abuse in the U.S. Sadly, assault or homicide was the fourth leading cause of death among those aged 5 to 9 years in the United States in 2023, accounting for around 8.4 percent of all deaths. That year, there were around 112,808 cases of child abuse in the U.S. among children aged 6 to 9 years and 128,004 cases among children aged 2 to 5 years. In 2023, there were around 5.39 child deaths per day in the United States due to abuse and neglect. Suicide among children Assault or homicide was also among the top five leading causes of death among children aged 10 to 14 years, but perhaps even more troubling is that suicide is the second leading cause of death among this age group. As with younger children, unintentional injuries are the leading cause of death among those aged 10 to 14 years; however, suicide accounts for around 14 percent of all deaths among this age group. Comparatively, suicide is not among the ten leading causes of death among children from the ages of 1 to 9 years.

United States US: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 1.300 Ratio in 2016. This stayed constant from the previous number of 1.300 Ratio for 2015. United States US: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 1.300 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.400 Ratio in 1990 and a record low of 1.300 Ratio in 2016. United States US: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 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. Probability of dying between age 5-14 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average;

Children (ages 0-14) newly infected with HIV in Latvia was reported at 100 ages 0-14 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Latvia - Children (ages 0-14) newly infected with HIV - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Children under 14 years of age and childcare ratesby type of childcare — cut-off date — regional levels

Actual value and historical data chart for Italy Children Ages 0 14 Newly Infected With Hiv

The USA: Deaths of children under five years of age per 1000 live births: The latest value from 2022 is 6 deaths per 1000 births, unchanged from 6 deaths per 1000 births in 2021. In comparison, the world average is 25 deaths per 1000 births, based on data from 187 countries. Historically, the average for the USA from 1960 to 2022 is 14 deaths per 1000 births. The minimum value, 6 deaths per 1000 births, was reached in 2020 while the maximum of 30 deaths per 1000 births was recorded in 1960.

This study analyses the changes of moderate-to-vigorous physical activity (MVPA) in a cohort of boys and girls aged 11 (n = 50) and 14 (n = 50). Physical activity was assessed with Bodymedia SenseWear Pro Armband monitor for 6 days in October 2013 and October 2016, considering 90% of daily wear time (21h and 40min). The initial sample (n = 160) included the children who wore the monitors at age 11 but the final analyzed sample included only those children from the initial sample (n = 50), whose data fulfilled the inclusion criteria at age 11 and 14. Physical fitness and somatic characteristics of the final sample (n = 50) were compared to a representative sample of Slovenian schoolchildren at ages 11 (n = 385) and 14 (n = 236) to detect possible bias. Changes in MVPA were controlled for maturity using the timing of adolescent growth spurt as its indicator. The average MVPA decreased more than one quarter (34.96 min) from age 11 to age 14. Children were significantly more active at age 11 than at age 14 (p < 0.01, d = 0.39). The timing of puberty onset in girls was significantly earlier (12.01 ± 1.0 years) (p < 0.01) than in boys (13.2 ± 0.75 years) (p < 0.01, d = 1.35). There was a significant gender difference in moderate-to vigorous physical activity at age 14 (p < 0.05, η2 = 0.12) and between moderate-to vigorous physical activity at age 11 and 14 (η2 = 0.11). After controlling for the timing of adolescent growth spurt the girls at age 11 showed significantly higher level of physical activity than at age 14 (p < 0.01, η2 = 0.17). Early adolescence is crucial for the development of physical activity behaviours, which is especially pronounced in girls. The significant decline of MVPA between ages 11 and 14 in Slovenia are likely influenced by environmental changes since the timing of adolescent growth spurt did not prove as a factor underlying the decline of MVPA.

In 2023, about **** million family households in the United States had their own children between three and five years of age living in the household. In that same year, almost ** million U.S. family households were living with their own children aged 12 to 17 years old.

Actual value and historical data chart for France Children Ages 0 14 Newly Infected With Hiv

San Marino Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 0.900 Ratio in 2016. This stayed constant from the previous number of 0.900 Ratio for 2015. San Marino Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 1.000 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.100 Ratio in 1990 and a record low of 0.900 Ratio in 2016. San Marino Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank: Health Statistics. Probability of dying between age 5-14 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average;

As of 2024, the population of young children aged between 0 and 4 years old in the United Kingdom was estimated to be just under 3.57 million, with 667,994 under 12 months old, 690,113 at age one, 732,532 aged two, 728,400 aged three, and 755,117 aged four.

The Child Health and Disability Prevention (CHDP) annual report for state fiscal year (SFY) 2008-12 provides an aggregate level data drawn from the Confidential Screening/Billing Report (PM-160) form used for fee-for-service (FFS) reimbursement of services, and/or for reporting preventive health assessment services. The display of the data in this report is intended to provide a detailed view of the health assessments provided to CHDP eligible children and youth as reported to the California Department of Health Care Services (DHCS) during SFY 2008-12. CHDP eligible children and youth are those whose gross family incomes are at or below 200 percent of the federal poverty level, age restriction for full-scope Medi-Cal of less than 21 years of age, presumptive eligibility (the Gateway process), or children and youth with no health insurance for health assessments who must be less than 19 years of age. CHDP children and youth receive health assessment services according to the age-based CHDP Periodicity Schedule or when assessments are considered medically necessary.

This statistic shows the population of children aged 0 to 14 worldwide from 1950 to 2100. In 2100, the population of children globally is expected to be about *** billion.

According to a survey conducted in the United States in 2022, ** percent of pre-teens were using social media applications. Overall, ** percent of respondents aged 11 to 12 years were using TikTok, and ** percent were using Snapchat. Both TikTok and Snapchat state that users of their apps must be at least 13 years of age, with the latter being in compliance with the U.S. Children's Online Privacy Protection Act (COPPA). Even though Discord and Facebook also have age restrictions of 13 years, ** percent and ** percent of pre-teens were using the online platforms, respectively.

About this dataset

Context

The dataset tabulates the data for the Stony Point, New York population pyramid, which represents the Stony Point town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Stony Point, New York, is 24.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Stony Point, New York, is 29.5.
• Total dependency ratio for Stony Point, New York is 53.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Stony Point, New York is 3.4.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Stony Point town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Stony Point town for the selected age group is shown in the following column.
• Population (Female): The female population in the Stony Point town for the selected age group is shown in the following column.
• Total Population: The total population of the Stony Point town for the selected age group 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 Stony Point town Population by Age. You can refer the same here

Iran IR: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 2.800 Ratio in 2017. This records a decrease from the previous number of 2.900 Ratio for 2015. Iran IR: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 3.500 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 8.400 Ratio in 1990 and a record low of 2.800 Ratio in 2017. Iran IR: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank.WDI: Health Statistics. Probability of dying between age 5-14 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average;

In 2020, the share of children in Vietnam amounted to approximately 23.2 percent of the population. This figure is comparable to the share of children in Malaysia and Sri Lanka. The age dependency ratio in Vietnam was 43 percent.

Age structure in Vietnam

As of 2018, about 69.55 percent of the population was between 15 and 64 years old, followed by 7.27 percent of people aged 65 years and older. In 2019, there were about 68.08 million adults. According to the Central Population and Housing Census, every two persons in the working age group is dependent. This shows an increase of 13.3 percentage points since 2009, more than double the percentage of 1999.

Demographical change in Vietnam

Vietnam has a history of high fertility. Therefore, the age and gender distribution followed the usual pattern where the widest bars can be found at the bottom of the pyramid. However, the country’s number of births decreased in the last few decades, which is why the youngest bars are smaller than the ones above in the demographic pyramid, indicating a slower future population growth. As of 2018, the population density in Vietnam was at 308.13 people per square meter.

Background:
The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

• to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
• to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
• to collect information on previously neglected topics, such as fathers' involvement in children's care and development
• to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
• to emphasise intergenerational links including those back to the parents' own childhood
• to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available

Additional objectives subsequently included for MCS were:

• to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
• to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

Safeguarded versions of MCS studies:
The Safeguarded versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

Polygenic Indices
Polygenic indices are available under Special Licence SN 9437. Derived summary scores have been created that combine the estimated effects of many different genes on a specific trait or characteristic, such as a person's risk of Alzheimer's disease, asthma, substance abuse, or mental health disorders, for example. These polygenic scores can be combined with existing survey data to offer a more nuanced understanding of how cohort members' outcomes may be shaped.

Sub-sample studies:
Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

Release of Sweeps 1 to 4 to Long Format (Summer 2020)
To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Secure Access datasets:
Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard Safeguarded Licence or Special Licence (see 'Access data' tab above).

Secure Access versions of the MCS include:

• detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
  
• detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
• linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
  
• linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
• linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
  
• linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
• linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
• Banded Distances to English Grammar Schools for MCS5 held under SN 8394
• linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
• linked Hospital of Birth data held under SN 5724.

The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.

Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

SN 8156 - Millennium Cohort Study: Age 14, Sweep 6, 2015
The sixth sweep of the Millennium Cohort Study was carried out when the cohort members were 14 years old. As 14 is a key transitional age, the sweep was purposefully ambitious in the breadth and scope of its contents. It included: an interview (CAPI and CASI) with the main parent and their partner (where relevant); a self-completion interview with the cohort members; cognitive assessments for the main parent, the partner and the cohort member; DNA collection of the cohort member and natural parents in the household; physical measurements of the cohort member; placement of a time use diary with the cohort member; placement of an accelerometer with the cohort member.

Latest edition information
For the eighth edition (September 2025), three new harmonised Time Use Diary data files (calendar format, episode level and derived variables) have been added to the study, along with an updated user guide. These files replace previously available data and documentation.