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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the data for the Live Oak, CA population pyramid, which represents the Live Oak population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Live Oak Population by Age. You can refer the same here
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TwitterThis dataset contains California’s adolescent birth rate (ABR) by county, age group and race/ethnicity using aggregated years 2014-2016. The ABR is calculated as the number of live births to females aged 15-19 divided by the female population aged 15-19, multiplied by 1,000. Births to females under age 15 are uncommon and thus added to the numerator (total number of births aged 15-19) in calculating the ABR for aged 15-19. The categories by age group are aged 18-19 and aged 15-17; births occurring to females under aged 15 are added to the numerator for aged 15-17 in calculating the ABR for this age group. The race and ethnic groups in this table utilized five mutually exclusive race and ethnicity categories. These categories are Hispanic and the following Non-Hispanic categories of Multi-Race, Black, American Indian (includes Eskimo and Aleut), Asian and Pacific Islander (includes Hawaiian) combined, and White. Note that there are birth records with missing race/ethnicity or categorized as “Other” and not shown in the dataset but included in the ABR calculation overall.
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TwitterEstimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.
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TwitterThis study was designed to assess the needs and characteristics of the female juvenile offender population in California and to evaluate the existing program structure. The main focus was to conduct a pilot study to test an instrument the researchers had designed for profiling the needs of youthful female offenders in developing a protocol for use by other jurisdictions and agencies working with delinquent female youths. To study the needs and program demands of young female offenders, the researchers conducted a profile survey of 162 randomly-selected women at the Ventura School in the California Youth Authority (CYA) in the summer of 1996. The data are the result of personal interviews using a modified version of the instrument used for a 1995 study of adult female offenders in the California Department of Corrections by the principal investigators. Information was collected on demographics, social and economic background, criminal history, and correctional experiences. Demographic variables include age, race and ethnicity, marital status, and parents' marital status. Variables on social and economic background include religious preference, living situation, education, work history, family relationships, pregnancy history while incarcerated, and family and juvenile history. Criminal history variables cover gang involvement, arrest and sentence information, offense profile, reasons for committing the offense, weapon use, substance abuse history, and personal abuse. Variables on correctional experiences include abuse counseling, HIV testing, correctional programming participation, work experience during incarceration, and California Youth Authority housing assignment.
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TwitterThis data file includes demographics of clients served by the Family Planning, Access, Care, and Treatment (Family PACT) Program from July 1, 2003, through the current FY of available data. Parity is defined as the number of live births reported at the time of enrollment or recertification for the Family PACT Program. Clients are recertified annually and are considered served only if they had a paid claim. Age, race/ethnicity, language, and parity variables were self-reported by clients at time of enrollment and recertification. Reimbursement amounts are rounded to the nearest million.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the data for the Bishop, CA population pyramid, which represents the Bishop 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Bishop Population by Age. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Ventura County, CA population pyramid, which represents the Ventura County 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Ventura County Population by Age. You can refer the same here
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TwitterFamilies of tax filers; Census families with children by age of children and children by age groups (final T1 Family File; T1FF).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Carmel-By-The-Sea, CA population pyramid, which represents the Carmel-By-The-Sea 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Carmel-By-The-Sea Population by Age. You can refer the same here
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TwitterPrograms that empower participants and help them acquire skills to deal with everyday life, including problem solving, conflict resolution, leadership, and financial management. Taxonomoy-based search of 211Toronto's database. For additional information and for the latest version of this data, please contact Findhelp/211 at info@findhelp.ca.
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TwitterPublic school enrolments in regular programs for youth in elementary and secondary schools, by grade and sex.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Wheatland, CA population pyramid, which represents the Wheatland 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Wheatland Population by Age. You can refer the same here
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This table contains 360 series, with data for years 1998 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Age group (3 items: 15 to 19 years;15 to 17 years;18 to 19 years ...), Teen pregnancy outcomes (4 items: Total; teen pregnancies; Live births; Induced abortions; Fetal loss ...), Characteristics (2 items: Number of events; Rate per 1;000 females ...).
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Objective: This scoping review aims to identify the social factors that influence the recovery of adolescents living with mental disorder during the peri-hospitalization period. It also seeks to identify the theoretical models used to conceptualize these social influences. Introduction: Adolescence is a critical period for the onset of mental disorders, with a proportion of youth experiencing psychological distress that may require psychiatric hospitalization. While hospitalization can offer clinical benefits, it also presents psychosocial challenges throughout the peri-hospitalization period, which includes the pre-hospitalization, hospitalization, and post-hospitalization phases. As recovery is deeply shaped by social contexts, the specific social factors that support or hinder this process during such a vulnerable time remain underexplored. Inclusion criteria: The review will include studies focusing on adolescents living with a mental disorder. Eligible studies must examine social factors related to recovery within the peri-hospitalization context. No restrictions will be placed on geographic location, gender, ethnicity, or cultural background. Methods: The review will follow the Joanna Briggs Institute (JBI) methodology for scoping reviews. A comprehensive three-step search strategy will be implemented across multiple databases (PsycINFO, Medline, CINAHL, Embase, Web of Science, and Google Scholar), including grey literature. Two independent reviewers will screen studies using Covidence, with disagreements resolved by a third reviewer. Data extraction will include study characteristics, theoretical frameworks, population details, and findings related to social factors and recovery dimensions. Results will be reported in accordance with PRISMA-ScR guidelines and presented through visual and narrative synthesis.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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In general, in most regions of Canada there are more females than males and this trend is particularly evident in areas with higher proportions of the population who are elderly. The preponderance of females in the older age groups is due to their higher life expectancy compared to males. In 2006, Saskatchewan had the highest proportion (17.1%) of the female population that was 65 years and over, while Alberta (11.9%), and the three territories (7.2% for Yukon, 4.9% for the Northwest Territories, and 2.6% for Nunavut) had the lowest proportions. The map shows the sex composition by age of the population by census subdivision.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Percentage of youth not in employment, education or training, by groups designated as visible minorities and selected sociodemographic characteristics (sex, age group, first official language spoken and generation status), for the population aged 15 to 29 years in private households.
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TwitterIncludes post-service data for inpatient services using the Self-Report Quality of Life-Child and Youth Mental Health instrument; which captures information on living conditions, food, privacy & safety, friends & activities, respect from others, family, autonomy & self-concept, health, school, and treatment. This tool is intended for use with children and youth ages 7-18 years of age with a minimum comprehension level of Grade 2.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This booklet has two purposes. First, it's meant to help children learn some basic facts about family law and give them an idea of the processes that parents may go through when they separate. Second, it's meant to help children realize that it's normal for them to have an emotional response to the divorce of their parents. The booklet encourages children to think about talking to someone they trust — like parents, grandparents, uncles and aunts or family friends, neighbours or someone from their community, such as their school, church, synagogue or mosque. The language and activities in the booklet are designed for children. However, some children may need help reading the booklet. Other children may want help. They may want an adult they trust to work through the booklet with them — helping them understand key legal concepts and cope with any sense of loss, anger, confusion or anxiety. The booklet is designed to be read all the way through or just in chapters. Kids can read only the chapters that interest them. They can always go back to other chapters later if they need to. Because this is a booklet for children, a lot of technical, legal information has been left out. This booklet only provides very general information because family law is a complex subject and some aspects of family law are different in each Canadian province and territory.
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TwitterThis dataset contains an Excel spreadsheet and ESRI shapefiles relating to youth services available in the City of Toronto. This data has been selected by the Youth Asset Mapping Project (www.toronto.ca/youth) in partnership with FindHelp/211 using a taxonomy-based search. Project funding was generously provided by the Ministry of Children and Youth Services. The dataset includes the following categories: Aboriginal youth Disability support and services Adult upgrading and literacy Schools/educational institutions Educational support Employment Financial services Eviction prevention and housing help Affordable housing access and applications Transitional and short-term housing Refugee housing Youth justice and legal support Other community/advocacy support for youth LGBTQ resources Recreation for youth Settlement newcomer services Youth parenting programs Youth health services Youth sexual health Youth well-being Youth mental health Concurrent disorder programs for youth Substance use treatment for youth Life skills training This data reflects Findhelp/211 records as of February, 2016. The same data is available for viewing in a map on Wellbeing Toronto (www.toronto.ca/wellbeing). You can also view current records (updated daily) on Toronto.ca/youth. For additional information and for the latest version of this data, please contact Findhelp/211 at info@findhelp.ca.
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TwitterNumber and percentage of youth aged 12 to 17 for selected health indicators, by household income quintile and highest level of parental education, Canada (excluding Territories) and provinces.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Live Oak, CA population pyramid, which represents the Live Oak population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Live Oak Population by Age. You can refer the same here