aOR = adjusted odds ratio.Intervention, nb = Intervention, no booster.Intervetion +b = Intervention with booster.NC = Not calculated (no observations).Abstinent youth include youth who have never had sex, as well as those who have had sex, but not more recently than 2 years ago.*Reference group.Odds ratios adjusted for: youth age, history of a boyfriend or girlfriend, support from a special person, Attitudes towards HIV preventive acts, Subjective norms regarding HIV preventive acts, and Behavioral intentions for HIV prevention. Models for All Youth (except three-month follow-up per-protocol) also are adjusted for biological sex; analyses stratified by baseline sexual experience are not due to collinearity.

We use a randomized experiment to test whether and what information changes teenagers' sexual behavior in Kenya. Providing information on the relative risk of HIV infection by partner's age led to a 28 percent decrease in teen pregnancy, an objective proxy for the incidence of unprotected sex. Self-reported sexual behavior data suggests substitution away from older (riskier) partners and toward same-age partners. In contrast, the official abstinence-only HIV curriculum had no impact on teen pregnancy. These results suggest that teenagers are responsive to risk information, but their sexual behavior is more elastic on the intensive than on the extensive margin.

Series Name: Proportion of population aged 18-29 years who experienced sexual violence by age 18 by sex (percent of population aged 18-29)Series Code: VC_VAW_SXVLNRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 16.2.3: Proportion of young women and men aged 18–29 years who experienced sexual violence by age 18Target 16.2: End abuse, exploitation, trafficking and all forms of violence against and torture of childrenGoal 16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levelsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

This dataset shows the Youth Unemployment as A Proportion of the Youth Population by Sex, 2001 - 2021, Malaysia. Footnote The 2011-2014 statistics was updated based on the years population estimates. Youth refers to population aged 15-24 years old. Source : Department of Statistics, Malaysia No. of Views : 51

SUMMARY This table contains data about women, ages 15 to 50, pregnant people, infants, children, and youths, up to age 24. It contains information about a wide range of health topics, including medical conditions, nutrition, dehydration, oral health, mental health, safety, access to health care, and basic needs, like housing. Local, county-level prevalence rates, time trends, and health disparities about national public health priorities, including preterm birth, infant death, childhood obesity, adolescent depression and substance use, and high blood pressure, diabetes, and kidney disease in young adults. The population data is from the 2023-2024 San Francisco Maternal Child and Adolescent Health needs assessment and is published on the Open Data Portal to share with community partners, plan services, and promote health. For more information see: Maternal, Child, and Adolescent Health Homepage Maternal, Child, and Adolescent Health Reports HOW THE DATASET IS CREATED The Maternal, Child, and Adolescent Health (MCAH) Needs Assessment for San Francisco included review of a wide range of citywide population data covering a ten-year span, from 2014 to 2023. Data from over 83,000 birth records, 59,000 death records, 261,000 emergency room visits, 66,000 hospital admissions, and 90,000 newborn screening discharges were gathered, along with citywide data from child welfare records, health screenings in childcare and schools, DMV records of first-time drivers, school surveys, and a state-run mailed survey of recent births (California Department of Public Health MIHA survey). The datasets provided information about approximately 700 health conditions. Each health condition was described in terms of the number of people affected or cases, and the rate affected, stratified by age, sex, race-ethnicity, insurance status, zip code, and time period. Rates were calculated by dividing the number of people or events by the population group estimate (e.g., total births or census estimates), then multiplying by 100 or 1,000 depending on the measure. Each rate was presented with its 95% confidence interval to support users to compare any two rates, either between groups or over time. Two rates differ “significantly” if their 95% confidence intervals do not overlap. The present dataset summarizes the group-level results for any age-, sex-, race-, insurance-, zip code-, and/or period-specific group that included at least 20 people or cases. Causes of death, health conditions that affected over 1000 people in the time frame, problems that got worse over time, and health disparities by insurance, race-ethnicity and/or zip code were flagged for the MCAH Needs Assessment. UPDATE PROCESS The dataset will be updated manually, bi-annually, each December and June. HOW TO USE THIS DATASET Population data from the MCAH needs assessment are shared in several formats, including aggregated datasets on DataSF.gov, downloadable PDF summary reports by age group, interactive online visualizations, data tables, trend graphs, and maps. Information about each variable is available in a linked data dictionary. The definition of each numerator and denominator depends on data source, life stage, and time. Health conditions may not be directly comparable across life stage, if the numerator definition includes age- or pregnancy-specific diagnosis codes (e.g. diabetes hospitalization). For small groups or rare conditions, consider combining time periods and/or groups. Data are suppressed if fewer than 20 cases happened in the group and period. Group-specific rates are available if the matched group-specific census estimates (denominator) were available. Census estim

Series Name: Proportion of youth and adults with information and communications technology (ICT) skills by sex and type of skill (percent)Series Code: SE_ADT_ACTSRelease Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 4.4.1: Proportion of youth and adults with information and communications technology (ICT) skills, by type of skillTarget 4.4: By 2030, substantially increase the number of youth and adults who have relevant skills, including technical and vocational skills, for employment, decent jobs and entrepreneurshipGoal 4: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for allFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

1all percentages accurate to within ±2%.

Abstract

The Adolescent Girls Initiative (AGI) in South Sudan was initiated in 2010 to support economic and social empowerment of young women (aged 15-24 years) in the country. Inspired by the success of similar interventions in Bangladesh, Uganda and Tanzania, where the program is known as Empowerment and Livelihoods of Adolescents (ELA), BRAC piloted AGI in four states of South Sudan. Before the commencement of the program, a baseline survey was carried out by BRAC Research and Evaluation Unit with the twin objectives of assessing the pre-program situation and impact evaluation. It is evident that households targeted by the program face severe poverty, food insecurity and poor quality of lives. Young women have additional vulnerabilities in their lives. Over 30 percent of adolescent girls are mothers and about 70 percent of them reported having unprotected sex. With limited education and livelihood skills, their engagements in earning activities are also very minimal. Less than 20 percent of the girls have ever received any skills training and only one-third are engaged in any form of earning activity. Despite these difficulties in their livelihoods, about a quarter of the girls have savings.There is significant scope of improvement in changing their knowledge and attitudes. Girls have also expressed their willingness to participate in the program. More importantly, those girls who are more likely to derive benefits from participating in such a program also have greater intention to participate. Therefore, the program has the potential of meeting their objectives, although excessively high expectations of the participant girls can discourage community ownership of the interventions. The baseline data will be used to compare relevant indicators to data from the endline data collection. Furthermore the data are an opportunity to assess the pre-program situation of households and adolescent girls.

Geographic coverage

Research subjects were recruited from Juba, Bor, Yei and Torit. More details under “Sampling”.

Analysis unit

Households and Individuals

Universe

This data set is the baseline survey dataset from a study of 4,075 households and adolescents in South Sudan who were targeted by the NGO BRAC in 2010-2013 for an adolescent girl’s initiative program with the aim of helping adolescent girls and young women make a successful transition from school to work. There were four program sites, in Juba, Bor, Yei and Torit.

Kind of data

Sample survey data [ssd]

Sampling procedure

The randomization method used was over-selection of clusters (or villages). At the initial stage BRAC program management identified 10 branch offices from four states of South Sudan (Central Equatoria, Eastern Equatoria, Jongolei and Lakes) as intervention sites. The branches are Munuki, Kator, Hai Gwafa, Kanjoro, Inkas, Hai Police, Dukurut, Langbhar, Makuriric and Matangai. In each branch BRAC staff identified 20 clusters which could potentially have the intervention. A social mapping of the households living in each cluster was conducted.

Following the mapping a census of girls aged 15 to 24 was conducted in all 200 villages. The census contained basic identification and background information which was also used as a sampling framework for the baseline survey. Based on the information from the mapping and the census, 160 villages (16 villages per branch) were selected for project implementation.

In each branch 10 villages were randomly selected for the intervention, with the remaining six villages acting as the control group. Following the random assignation the baseline survey was conducted. In order to balance the sample between treatment and control groups, 6 intervention villages (from the 10 in each branch) were randomly selected for the survey. In total the survey was conducted in 120 villages, of which 60 belonged to the treatment and control groups.

From each cluster a random sample of 35 adolescent girls was drawn for the baseline survey from the census. One girl was interviewed in each household. The initial target of 4200 girls and their parents was not met, with the final sample size in the baseline survey of 4075. Interviews were conducted with the girls/young women and a separate instrument use to collect information from their parents, however in cases where the adolescent was found to be the household head, both instruments were administered to her.

There were resources available to implement the program in 100 villages. Therefore, in each branch 10 villages were randomly selected for the interventions, and the other 6 villages belong to the control group. Following this random assignation, the baseline survey was conducted. In order to balance the sample between treatment and control groups, 6 intervention villages (from 10 villages in each branch) were randomly selected to conduct the survey. In total, we conducted the survey in 120 villages, of which 60 villages belong to treatment and control groups each.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

SURVEY MODULES A - Household Module 0 - Identification and Consent S1 - Household Members Characteristics S2 - Household Members Education S3 - Income Generating Activities of All HH members S4 - Expectations for young (aged 5-25) HH members S5 - Assets S6 - Housing Conditions S7 - Water and Sanitation S8 - Loans Outstanding S10 - Expenditure Section 10 - Household Tracking Form

B - Adolescent Module 0 - Identification and Consent S1 - Education S2 - Income Generating Activities S3 - Spare Time S4 - Financial Literacy S5. Loans and Savings S6. Expenditure S7 - Expectations and Empowerment S8 - Networks S9 - Program Participation S10 - Childhood S11 - Risky Behaviours S12 - Sexual Behaviours/AIDS awareness

Cleaning operations

Each completed questionnaire was scrutinized in the field and at the field office on the day of the interview by field supervisors. Further scrutiny took place during data editing. Consistency checks were done to yield cleaned datasets. A team of researchers worked on data analysis using STATA software.

"This dataset provides the cumulative number and percent of people who have received a COVID-19 vaccine in Canada by report week, number of doses, age group, sex, and jurisdiction. Variables include: - Jurisdiction ID number - Jurisdiction - Report week - Sex - Age group - Cumulative number vaccinated with at least 1 dose - Cumulative number vaccinated with 2 doses - Cumulative proportion vaccinated with at least 1 dose - Cumulative proportion vaccinated with 2 doses For variable definitions, see the data dictionary. For details regarding data sources and limitations, see the technical notes section of the Canadian COVID-19 vaccination coverage report (https://health-infobase.canada.ca/covid-19/vaccination-coverage/technical-notes.html)."

Population size estimations for adolescent and young men who have sex with men, 2019.

This table contains 2376 series, with data for years 2015 - 2015 (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 (3 items: Total, 6 to 17 years; 6 to 11 years; 12 to 17 years);  Sex (3 items: Both sexes; Males; Females);  Children's screen time (3 items: Total population for the variable children's screen time; 2 hours or less of screen time per day; More than 2 hours of screen time per day);  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; ...).

Home-schooling enrolments in regular programs for youth at the elementary and secondary level, by age and sex.

With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. This series is based on the 13th ICLS definitions. For time series comparability, it includes countries that have implemented the 19th ICLS standards, for which data are also available in the Work Statistics -- 19th ICLS (WORK) database. The youth working-age population is defined as persons aged between 15 and 29 years old. The term disability, as defined in the International Classification of Functioning, Disability and Health (ICF), is used as an umbrella term, covering impairments, activity limitations, and participation restrictions. For measurement purposes, a person with disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of ongoing difficulties due to a long-term physical condition, mental condition or health problem. For more information, refer to the Youth Labour Market Indicators (YouthSTATS) database description.

A dataset of key bullying and cyberbullying statistics in the U.S., including prevalence by age, sex, identity, and school environment.

Population sizes of men who have sex with men and females who sell sex, by age and UNICEF region.

Year-over-year and 10-year percentage change (refers to the change as a percentage of the value of the indicator in the earlier period (((new - old)/old)*100)) of key indicators for annual data on adult criminal court and youth court, by offence and sex of accused, Canada, provinces and territories.

Infertility is increasing globally, affecting one in six adults due to factors like delayed childbearing and lifestyle changes. Despite the recognition of the importance of increasing fertility awareness, levels remain low. This study evaluated the perceptions of ‘FActs!’, a serious game aimed at improving adolescents’ fertility awareness. The narratives of adolescents, parents and teachers about the utility of this tool and its educational potential were also addressed using focus groups. The game (https://myfacts.eu/) comprises 12 questions (birth year, biological sex, country and nine questions addressing fertility topics (probability of conceiving, the definition of infertility, and fertility risk factors such as age, smoking, alcohol, drugs and physical exercise). These questions emerge from four scenarios: a school playground, a party, a gym and a sibling’s house. Players receive immediate feedback about their answers and brief educational information to improve their knowledge. Players accumulate stars for correct answers as they progress through the scenarios and answer the questions. Findings revealed that ‘FActs!’ effectively engages adolescents and enhances their understanding of fertility. Adolescents, parents and teachers responded positively, appreciating its interactive nature and ability to facilitate discussions on reproductive health. However, limitations such as the need for more comprehensive information and high reading requirements were noted. The study highlights the importance of integrating comprehensive fertility education into health curricula using diverse, engaging methods. It also underscores the necessity of supporting parents and teachers to improve their comfort and capability in discussing fertility. “FActs!” is a valuable tool with the potential for broader educational contexts. Future research should quantitatively assess “FActs!” across various demographics and include interventions to boost fertility awareness among parents and teachers, thereby enhancing their support for adolescents’ informed reproductive choices.

Population size estimations for adolescent and young females who sell sex, 2019.