This table contains 30 series, with data for years 1961 - 1971 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Persons ...) Geography (1 items: Canada ...) Children born to ever-married women (10 items: Number of children born to ever-married women 15 years of age and over; total; Number of children born to ever-married women aged 15-19 years; Number of children born to ever-married women aged 20-24 years; Number of children born to ever-married women aged 25-29 years ...) Type of area (3 items: Total urban and rural areas; Rural; Urban ...).

This dataset is about books. It has 1 row and is filtered where the book is The four freedoms histories, or, The people we are : a history for boys and girls. Vol.4, Great Britain and the world, 1870-1963: the age of competition. It features 7 columns including author, publication date, language, and book publisher.

Introduction

The Native American Children Facial Image Dataset is a thoughtfully curated collection designed to support the development of advanced facial recognition systems, biometric identity verification, age estimation tools, and child-specific AI models. This dataset enables researchers and developers to build highly accurate, inclusive, and ethically sourced AI solutions for real-world applications.

Facial Image Data

The dataset includes over 1000 high-resolution image sets of children under the age of 18. Each participant contributes approximately 15 unique facial images, captured to reflect natural variations in appearance and context.

Diversity and Representation

Quality and Image Conditions

To ensure robust model training and generalizability, images are captured under varied natural conditions:

Metadata

Each child’s image set is paired with detailed, structured metadata, enabling granular control and filtering during model training:

This metadata is essential for applications that require demographic awareness, such as region-specific facial recognition or bias mitigation in AI models.

Applications

This dataset is ideal for a wide range of computer vision use cases, including:

Ethical Collection and Data Security

We maintain the highest ethical and security standards throughout the data lifecycle:

United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 0.700 % in 2012. This records an increase from the previous number of 0.500 % for 2009. United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 0.550 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 0.800 % in 2005 and a record low of 0.100 % in 2001. United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 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: Health Statistics. Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

Introduction

The South Asian Children Facial Image Dataset is a thoughtfully curated collection designed to support the development of advanced facial recognition systems, biometric identity verification, age estimation tools, and child-specific AI models. This dataset enables researchers and developers to build highly accurate, inclusive, and ethically sourced AI solutions for real-world applications.

Facial Image Data

The dataset includes over 1500 high-resolution image sets of children under the age of 18. Each participant contributes approximately 15 unique facial images, captured to reflect natural variations in appearance and context.

Diversity and Representation

Quality and Image Conditions

To ensure robust model training and generalizability, images are captured under varied natural conditions:

Metadata

Each child’s image set is paired with detailed, structured metadata, enabling granular control and filtering during model training:

This metadata is essential for applications that require demographic awareness, such as region-specific facial recognition or bias mitigation in AI models.

Applications

This dataset is ideal for a wide range of computer vision use cases, including:

Ethical Collection and Data Security

We maintain the highest ethical and security standards throughout the data lifecycle:

Analysis of ‘🧑 Childhood Obesity in the US’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/childhood-obesity-in-the-use on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

Childhood Obesity in the United States (1971-2014)

data source: http://www.cdc.gov/nchs/data/hestat/obesity_child_13_14/obesity_child_13_14.htm

Data Files

1. child_ob_gender.csv
2. obesity_child_age

Visualizations

Historical Childhood Obesity Rate by Gender

Boys tended to suffer from obesity at a higher rate than girls during 2000 through 2010. More recently however, between 2011 and 2014, boys' and girls' obesity rates converged as a result of an increase for girls and decrease for boys.

For both genders, obesity rates grew rapidly during the last two decades of the 20th century, but thankfully growth rates have lessened in recent years.

http://i.imgur.com/oyWAjys.png" alt="Imgur" style="">

Historical Childhood Obesity Rate by Age

The data show that older children have been afflicted by the obesity epidemic at a higher rate than very young children.

http://i.imgur.com/7W2Bsz3.png" alt="Imgur" style="">

This dataset was created by Health and contains around 100 samples along with Se, Percent Obese, technical information and other features such as: - Gender - Time - and more.

How to use this dataset

• Analyze Age in relation to Se
• Study the influence of Percent Obese on Gender
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Health

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Introduction

The African Children Facial Image Dataset is a thoughtfully curated collection designed to support the development of advanced facial recognition systems, biometric identity verification, age estimation tools, and child-specific AI models. This dataset enables researchers and developers to build highly accurate, inclusive, and ethically sourced AI solutions for real-world applications.

Facial Image Data

The dataset includes over 1500 high-resolution image sets of children under the age of 18. Each participant contributes approximately 15 unique facial images, captured to reflect natural variations in appearance and context.

Diversity and Representation

Quality and Image Conditions

To ensure robust model training and generalizability, images are captured under varied natural conditions:

Metadata

Each child’s image set is paired with detailed, structured metadata, enabling granular control and filtering during model training:

This metadata is essential for applications that require demographic awareness, such as region-specific facial recognition or bias mitigation in AI models.

Applications

This dataset is ideal for a wide range of computer vision use cases, including:

Ethical Collection and Data Security

We maintain the highest ethical and security standards throughout the data lifecycle:

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. The Gender and Adolescence: Global Evidence: Covid-19 Phone Survey, 2020-2021 was designed to follow up with cohorts of adolescents in Bangladesh, Ethiopia, and Jordan to learn about household and adolescent experiences of the pandemic. The survey also includes a cross-sectional sample of adolescents in the State of Palestine. The survey was conducted over two rounds, in mid-2020 (Covid-R1) and late-2020 through early 2021 (Covid-R2). The survey aims to understand the knowledge, attitudes, and behavioural changes related to the Covid-19 pandemic, as well as effects of the pandemic on adolescents participating in the GAGE survey and their primary female caregivers.

Introduction

The Middle Eastern Children Facial Image Dataset is a thoughtfully curated collection designed to support the development of advanced facial recognition systems, biometric identity verification, age estimation tools, and child-specific AI models. This dataset enables researchers and developers to build highly accurate, inclusive, and ethically sourced AI solutions for real-world applications.

Facial Image Data

The dataset includes over 1000 high-resolution image sets of children under the age of 18. Each participant contributes approximately 15 unique facial images, captured to reflect natural variations in appearance and context.

Diversity and Representation

Quality and Image Conditions

To ensure robust model training and generalizability, images are captured under varied natural conditions:

Metadata

Each child’s image set is paired with detailed, structured metadata, enabling granular control and filtering during model training:

This metadata is essential for applications that require demographic awareness, such as region-specific facial recognition or bias mitigation in AI models.

Applications

This dataset is ideal for a wide range of computer vision use cases, including:

Ethical Collection and Data Security

We maintain the highest ethical and security standards throughout the data lifecycle:

The WORLD Child Marriage Laws 2023 dataset was created to assess progress on laws prohibiting child marriage which jeopardizes educational attainment, health, economic opportunities, and gender equality through a systematic review of legislation governing the legal minimum age of marriage across all 193 UN countries as of May 2023. The dataset covers the legal minimum age of marriage for girls and boys, as well as exceptions to minimum ages with parental consent and under religious and customary law. A public use legislative repository is also included providing the legislation used to code each country. About the data creators: The WORLD Policy Analysis Center (WORLD) is committed to improving the quantity and quality of globally comparative data available to policymakers, citizens, civil society, and researchers on laws and policies that work to support human rights, including economic opportunity, social and civic engagement, human health, development, well-being, and equity.

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. Gender and Adolescence: Global Evidence: Jordan Baseline, 2018-2019 recruited a sample of 4,101 adolescent girls and boys in two separate cohorts (younger adolescents aged 10-12 years and older adolescents age 15-18 years at baseline). GAGE surveyed the adolescents, as well as their adult female caregivers and, for those enrolled in formal schooling, conducted surveys at their schools. This sample includes Syrian refugees living in refugee camps, informal tented settlements (ITS) and host communities, as well as Palestinian refugees living in refugee camps and host communities, vulnerable Jordanian adolescents living in communities hosting refugees, and a small group of adolescents of other nationalities (Egyptian, Iraqi, and others) living in Jordan. The research sample was recruited during 2018 and 2019. Additional information about the sample and the baseline Jordan data are available in the GAGE Jordan Baseline Sample Overview and Data Use Manual (2021) included in the Documentation. Main Topics: Youth; adolescence; gender; longitudinal impact evaluation of youth programming Purposive selection/case studies One-stage stratified or systematic random sample Face-to-face interview: Computer-assisted (CAPI/CAMI) Educational measurements and tests

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. Gender and Adolescence: Global Evidence: Ethiopia Baseline, 2017-2018 includes a sample of nearly 7,000 adolescent girls and boys in two separate cohorts (younger adolescents aged 10–12 years and older adolescents age 15–17 years at the time of baseline data collection), as well as their caregivers and communities. The research sample, composed of both randomly sampled and purposely selected adolescents and their families, was recruited during 2017 and 2018 from both urban and rural areas of Ethiopia. Further information about the research site, sample selection, and data collection process is available in the documentation. Main Topics: The Adult Female (AF) dataset contains information on the household, including the household roster, household assets, sources of income, and household construction, among other household information. In addition, the AF survey contains detailed information about the AF herself, such as her health, marriage and fertility, attitudes, and parenting practices. The Core Respondent (CR) dataset contains data from the survey administered to the CR and covers education, time allocation, employment, health, attitudes, marriage and fertility.The Adult Male (AM) dataset contains information on the adult male in the subset of households where surveys were conducted with adult males, covering parenting practices, time allocation use of information and communication technologies, health, attitudes, attitudes and social inclusion. Simple random sample Face-to-face interview

Armenia AM: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 12.700 % in 2016. This records a decrease from the previous number of 14.400 % for 2010. Armenia AM: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 11.400 % from Dec 1998 (Median) to 2016, with 5 observations. The data reached an all-time high of 14.400 % in 2010 and a record low of 9.000 % in 2005. Armenia AM: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Armenia – Table AM.World Bank.WDI: Social: Health Statistics. Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.

Costa Rica CR: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 7.700 % in 2018. This records an increase from the previous number of 6.600 % for 2008. Costa Rica CR: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 7.150 % from Dec 2008 (Median) to 2018, with 2 observations. The data reached an all-time high of 7.700 % in 2018 and a record low of 6.600 % in 2008. Costa Rica CR: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

Azerbaijan Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data was reported at 2.200 % in 2023. This records a decrease from the previous number of 4.900 % for 2013. Azerbaijan Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data is updated yearly, averaging 5.400 % from Dec 2000 (Median) to 2023, with 5 observations. The data reached an all-time high of 15.000 % in 2000 and a record low of 2.200 % in 2023. Azerbaijan Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Azerbaijan – Table AZ.World Bank.WDI: Social: Health Statistics. Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. In Jordan, GAGE recruited a sample of 4,101 adolescent girls and boys in two separate cohorts (younger adolescents aged 10-12 years and older adolescents age 15-18 years at baseline). GAGE surveyed the adolescents, as well as their adult female caregivers and, for those enrolled in formal schooling, conducted surveys at their schools. This sample includes Syrian refugees living in refugee camps, informal tented settlements (ITS) and host communities, as well as Palestinian refugees living in refugee camps and host communities, vulnerable Jordanian adolescents living in communities hosting refugees, and a small group of adolescents of other nationalities (Egyptian, Iraqi, and others) living in Jordan. The research sample was recruited during 2018 and 2019. Additional information about the sample and the baseline Jordan data are available in the GAGE Jordan Baseline Sample Overview and Data Use Manual (2021) available from UK Data Archive SN 8866. Gender and Adolescence: Global Evidence: Jordan Baseline School Survey, 2019-2020 contains data collected at baseline from an additional survey conducted in adolescents' communities, which focused on formal primary and secondary schools. Specific schools where Core Respondents attended were identified and linked based on the details collected from the Core Respondent baseline survey. Where schools consented to participate, questionnaires were administered to a key school informant, such as the principal or head teacher, in September 2019 through January 2020. Main Topics: Youth; adolescence; gender; longitudinal impact evaluation of youth programming Purposive selection/case studies Convenience sample Face-to-face interview: Computer-assisted (CAPI/CAMI)

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. Gender and Adolescence: Global Evidence: Nepal Baseline, 2017-2018 includes a sample of 1,687 girls aged 12-14 years in 40 randomly selected clusters within two districts in Nepal. This sample includes 580 girls enrolled in Grade 6 and followed to Grade 8 who will help to evaluate the impact of the Room to Read (RtR) Girl's Education Program (GEP). The research sample, composed of both randomly sampled and purposely selected adolescents and their families, was recruited during 2017 and 2018 in the regions of Nuwakot and Tanahun in Nepal. Further information about the research site, sample selection, and data collection process is available in the documentation. Main Topics: This study evaluates the impact of a school-based program on adolescent girls’ educational achievement and capabilities.The dataset includes information from the Adult Female (AR), Core/Child Respondent (CR), Household (HH) and School (SC) questionnaires and variables are annotated with these abbreviations to indicate the questionnaire source. Topics covered include household information, assets, children, goal setting, aspirations, gender attitudes and norms, group behaviour, opinions and decisions, mobility, social networks, educational experiences, life skills, marriage, time allocation, internet, communication, technology, safe and enabling environment, civic engagement, reference groups and role models, and school information. Multi-stage stratified random sample Face-to-face interview: Computer-assisted (CAPI/CAMI) Face-to-face interview: Paper-and-pencil (PAPI)

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. Gender and Adolescence: Global Evidence: Bangladesh Chittagong and Sylhet Baseline, 2020 includes a sample of 2,220 girls and boys aged 10-18, as well as their female caregivers. The research sample, composed of randomly selected adolescents and their families, was recruited during February and March 2020 from adolescents attending grades 7 and 8 across 109 government and monthly-pay-order (MPO) schools in the Chittagong and Sylhet Divisions of Bangladesh. The sample serves as a baseline data for a randomised controlled trial evaluating two interventions that were virtually-delivered during COVID-19-related school closures: (1) a gender-neutral Growth Mindset (GM) programming around malleable intelligence and (2) Girl Rising (GR) programming that focuses on gender norms around girls' education that is layered on top of the GM programming. Further information about the research site, sample selection, and data collection process is available in the documentation. Main Topics: The Core Respondent (CR) dataset contains data from the survey administered to the CR and covers education, time allocation, paid work, growth mindset and socio-economic skills, health and nutrition, physical activity, mobility and voice, psychosocial and mental health, financial inclusion and economic empowerment, information and communication technologies, marriage and relationships, confidence and curiosity, sexual and reproductive health and social desirability scale. A number of educational competencies tests are completed such as an Annual Status of Education Report (ASER) maths and reading comprehension tests.The Adult Female (AF) dataset contains information on the household, including the household roster, family background, durable goods, dwelling characteristics, access to productive capital and recent positive and negative shocks. In addition, the AF survey contains detailed information about the AF herself, such as her investments in children and parenting, attitudes to gender equality, health and nutrition, marriage, fertility and social norms. Multi-stage stratified random sample Face-to-face interview: Computer-assisted (CAPI/CAMI) Educational measurements and tests

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. The main purpose of Gender and Adolescence: Global Evidence: Bangladesh Chittagong-Sylhet Cross Section, 2018 was to gather information on the lives of school-going adolescents living in nine districts across the Chittagong (Brahmnbaria, Chandpur, Chittagong, Cox's Bazar, and Rangamati districts) and Sylhet (Habiganj, Maulvibazaar, Sunamgani, and Sylhet districts) divisions of Bangladesh. The sample primarily comprised of school-going adolescents attending grade 6 in 2018, across 132 schools. This included a purposeful sample of adolescents who had dropped out of school and of adolescents with disabilities. In addition to adolescents, interviews were conducted with the adult female caregiver (1,747 surveys) and, for about a third of the adolescents, an adult male caregiver (449 surveys). Further information about the research site, sample selection, and data collection process is available in the documentation. Main Topics: The Adult Female (AF) dataset contains information about the adult female and the household, including the household roster; family background; durable goods; dwelling characteristics; household activities; investments in children and parenting; disability and functioning; time allocation; role in household decision making; access to productive capital; access to credit; financial inclusion and economic empowerment; information and communication technologies; health and nutrition; attitudes to equality; mobility; voice and agency; social inclusion; marriage and relationships; fertility; and social norms.The Core Respondent (CR) dataset contains data from the survey administered to the core respondent (school-going adolescent attending grade 6) and covers education; time allocation; paid work; health and nutrition; physical functioning; physical health; communication and comprehension; emotions, behaviour and relationships; illness and injuries; nutritional knowledge; psychosocial and mental health; mobility, voice and agency; social inclusion and economic empowerment; information and communication technologies; marriage and relationships; and fertility.The Adult Male (AM) dataset contains information on the adult male in the subset of households where surveys were conducted with adult males, covering investments in children and parenting; time allocation; information and communication technologies; health and nutrition; attitudes; social norms; and social inclusion.

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. Gender and Adolescence: Global Evidence: Ethiopia Round 2, 2019-2020 extends the GAGE quantitative research in Ethiopia for a second round. A sample of nearly 8,600 adolescent boys and girls was sought, including nearly 7,000 adolescents surveyed in an earlier Baseline round (available from the UK Data Archive under SN 8597), as well as approximately 1,600 new adolescents. The main purpose of this survey was to gather information on the lives of Ethiopian adolescents living in urban and rural locations in the Amhara, Oromiya, and Afar regions, and to understand their changing lives and challenges. At the time of data collection, adolescents were primarily aged 12-14 and 17-19. The sample includes both randomly and purposefully sampled adolescents, and their female caregivers were also surveyed where possible. The current data release includes information for the subset of individuals who are not part of an ongoing randomized evaluation of adolescent-centric programming. A total of nearly 5,000 adolescents and their caregivers are included in the current release. Main Topics: The Core Respondent (CR) dataset contains data from the survey administered to the CR and covers education, time allocation, paid work, health and nutrition, psychosocial and mental health, mobility and voice, social inclusion, marriage and relationships, financial inclusion and economic empowerment, and information and communication technologies. The Adult Female (AF) dataset contains information on the household, including the household roster, family background, durable goods, dwelling characteristics, access to productive capital, recent positive and negative shocks, and household access to programs and support. In addition, the AF survey contains detailed information about the AF herself, such as parenting, health and nutrition, attitudes to gender equality, marriage, fertility and social norms. Purposive selection/case studies Multi-stage stratified random sample Face-to-face interview: Computer-assisted (CAPI/CAMI) 2019 2020 ACCESS TO EDUCATION ACCESS TO HEALTH SE... ACCESS TO INFORMATI... ACTIVITIES OF DAILY... ADOLESCENCE ADOLESCENTS AGE ALCOHOL USE ANIMAL HUSBANDRY ANXIETY ARRANGED MARRIAGES ATTITUDES BANK ACCOUNTS BIRTH CONTROL CHILDREN CREDIT DEVELOPING COUNTRIES DEVELOPMENT PROGRAMMES DISABILITIES EDUCATIONAL BACKGROUND EDUCATIONAL CHOICE EDUCATIONAL FACILITIES EDUCATIONAL STATUS EMOTIONAL STATES ENERGY CONSUMPTION Education Ethiopia FAMILY INFLUENCE FAMILY PLANNING FATHER S EDUCATIONA... FATHERS FINANCIAL DIFFICULTIES FOOD FOOD AND NUTRITION GENDER EQUALITY GENDER ROLE Gender and gender r... HEADS OF HOUSEHOLD HEALTH STATUS HEARING IMPAIRMENTS HOUSEHOLD BUDGETS HOUSEHOLDERS HOUSEHOLDS HOUSING CONDITIONS ILL HEALTH INFORMAL CARE INFORMATION SOURCES INTERNAL MIGRATION INTERNET ACCESS INTERNET USE LAND OWNERSHIP LAVATORIES LEISURE TIME ACTIVI... LIFE SATISFACTION LITERACY LIVESTOCK LOANS MARITAL HISTORY MARITAL STATUS MENSTRUATION MOBILE PHONES MORAL VALUES MOTHERS PARENTAL ENCOURAGEMENT PARENTAL ROLE PERSONAL FINANCE MA... PERSONAL SAFETY PHYSICAL MOBILITY PLACE OF BIRTH PREGNANCY QUALITY OF LIFE RELIGIOUS AFFILIATION RELIGIOUS BEHAVIOUR RESIDENTIAL MOBILITY ROOMS SAVINGS SCHOOL PUNISHMENTS SCHOOLS SEX SEX DISCRIMINATION SOCIAL ATTITUDES SOCIAL INEQUALITY SOCIAL VALUES STRUCTURAL ELEMENTS... STUDENT EMPLOYMENT STUDENT TRANSPORTATION Society and culture TELEVISION VIEWING TIME BUDGETS TRUANCY UNEARNED INCOME VISION IMPAIRMENTS WATER RESOURCES Youth