7 datasets found
  1. Live Birth Profiles by County

    • data.chhs.ca.gov
    • data.ca.gov
    • +4more
    csv, zip
    Updated Jun 26, 2025
    + more versions
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    California Department of Public Health (2025). Live Birth Profiles by County [Dataset]. https://data.chhs.ca.gov/dataset/live-birth-profiles-by-county
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    csv(1911), csv(8256822), csv(9986780), zip, csv(456184)Available download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

    The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

  2. N

    Newborn, GA Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
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    Neilsberg Research (2024). Newborn, GA Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/d0b172f9-c980-11ee-9145-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Feb 19, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Georgia, Newborn
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Newborn by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Newborn across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a majority of male population, with 56.3% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the Newborn is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Newborn total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Newborn Population by Race & Ethnicity. You can refer the same here

  3. Live births, by month

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Sep 25, 2024
    + more versions
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    Live births, by month [Dataset]. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1310041501
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    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Number and percentage of live births, by month of birth, 1991 to most recent year.

  4. CPI 1.1 Texas Child Population (ages 0-17) by County 2015-2024

    • data.texas.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Jan 29, 2025
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    TX DFPS Data & Decision Support (2025). CPI 1.1 Texas Child Population (ages 0-17) by County 2015-2024 [Dataset]. https://data.texas.gov/dataset/CPI-1-1-Texas-Child-Population-ages-0-17-by-County/x5xb-idr6
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    tsv, xml, application/rdfxml, csv, json, application/rssxmlAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    Texas Department of Family and Protective Serviceshttps://www.dfps.texas.gov/
    Authors
    TX DFPS Data & Decision Support
    Area covered
    Texas
    Description

    As recommended by the Health and Human Services Commission (HHSC) to ensure consistency across all HHSC agencies, in 2012 DFPS adopted the HHSC methodology on how to categorize race and ethnicity. As a result, data broken down by race and ethnicity in 2012 and after is not directly comparable to race and ethnicity data in 2011 and before.

    The population totals may not match previously printed DFPS Data Books. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but may cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated.

    Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio.

    Current population estimates and projections data as of December 2020.

    Visit dfps.texas.gov for information on all DFPS programs.

  5. The Future of Families and Child Wellbeing Study (FFCWS), Public Use, United...

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Mar 27, 2025
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    McLanahan, Sara; Garfinkel, Irwin; Edin, Kathryn; Waldfogel, Jane; Hale, Lauren; Buxton, Orfeu M.; Mitchell, Colter; Notterman, Daniel A.; Hyde, Luke W.; Monk, Chris S. (2025). The Future of Families and Child Wellbeing Study (FFCWS), Public Use, United States, 1998-2024 [Dataset]. http://doi.org/10.3886/ICPSR31622.v4
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    sas, ascii, r, delimited, stata, spssAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    McLanahan, Sara; Garfinkel, Irwin; Edin, Kathryn; Waldfogel, Jane; Hale, Lauren; Buxton, Orfeu M.; Mitchell, Colter; Notterman, Daniel A.; Hyde, Luke W.; Monk, Chris S.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/31622/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/31622/terms

    Time period covered
    1998 - 2024
    Area covered
    United States
    Description

    The Future of Families and Child Wellbeing Study (FFCWS, formerly known as the Fragile Families and Child Wellbeing Study) follows a cohort of nearly 5,000 children born in large, U.S. cities between 1998 and 2000. The study oversampled births to unmarried couples; and, when weighted, the data are representative of births in large U.S. cities at the turn of the century. The FFCWS was originally designed to address four questions of great interest to researchers and policy makers: What are the conditions and capabilities of unmarried parents, especially fathers? What is the nature of the relationships between unmarried parents? How do children born into these families fare? How do policies and environmental conditions affect families and children? The FFCWS consists of interviews with mothers, fathers, and/or primary caregivers at birth and again when children are ages 1, 3, 5, 9, 15, and 22. The parent interviews collected information on attitudes, relationships, parenting behavior, demographic characteristics, health (mental and physical), economic and employment status, neighborhood characteristics, and program participation. Beginning at age 9, children were interviewed directly (either during the home visit or on the telephone). The direct child interviews collected data on family relationships, home routines, schools, peers, and physical and mental health, as well as health behaviors. A collaborative study of the FFCWS, the In-Home Longitudinal Study of Pre-School Aged Children (In-Home Study) collected data from a subset of the FFCWS Core respondents at the Year 3 and 5 follow-ups to ask how parental resources in the form of parental presence or absence, time, and money influence children under the age of 5. The In-Home Study collected information on a variety of domains of the child's environment, including: the physical environment (quality of housing, nutrition and food security, health care, adequacy of clothing and supervision) and parenting (parental discipline, parental attachment, and cognitive stimulation). In addition, the In-Home Study also collected information on several important child outcomes, including anthropometrics, child behaviors, and cognitive ability. This information was collected through interviews with the child's primary caregiver, and direct observation of the child's home environment and the child's interactions with his or her caregiver. Similar activities were conducted during the Year 9 follow-up. At the Year 15 follow-up, a condensed set of home visit activities were conducted with a subsample of approximately 1,000 teens. Teens who participated in the In-Home Study were also invited to participate in a Sleep Study and were asked to wear an accelerometer on their non-dominant wrist for seven consecutive days to track their sleep (Sleep Actigraphy Data) and that day's behaviors and mood (Daily Sleep Actigraphy and Diary Survey Data). An additional collaborative study collected data from the child care provider (Year 3) and teacher (Years 9 and 15) through mail-based surveys. Saliva samples were collected at Year 9 and 15 (Biomarker file and Polygenic Scores). The Study of Adolescent Neural Development (SAND) COVID Study began data collection in May 2020 following the onset of the COVID-19 pandemic. It included online surveys with the young adult and their primary caregiver. The FFCWS began its seventh wave of data collection in October 2020, around the focal child's 22nd birthday. Data collection and interviews continued through January 2024. The Year 22 wave included a young adult (YA) survey with the original focal child and a primary caregiver (PCG) survey. Data were also collected on the children of the original focal child (referred to as Generation 3, or G3). Documentation for these files is available on the FFCWS website located here. For details of updates made to the FFCWS data files, please see the project's Data Alerts page. Data collection for the Future of Families and Child Wellbeing Study was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations.

  6. Census families with children by age of children and children by age groups

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +3more
    Updated Jul 18, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Census families with children by age of children and children by age groups [Dataset]. http://doi.org/10.25318/3910004101-eng
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    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  7. c

    CPS 4.3 Adoption Placements FY2015 - 2024

    • s.cnmilf.com
    • data.texas.gov
    • +1more
    Updated Feb 25, 2025
    + more versions
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    data.austintexas.gov (2025). CPS 4.3 Adoption Placements FY2015 - 2024 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/cps-4-3-adoption-placements-fy2013-2022
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    This chart counts the number of unique children in DFPS custody who lived in an adoptive placement at some point during the fiscal year and the total number of adoptive placements during the year. Children can have more than one adoptive placement. This chart includes children in DFPS custody for whom a court has appointed DFPS legal responsibility through Permanent Managing Conservatorship. An adoptive placement occurs when the child's caseworker, the family's case manager, and the adoptive family sign paperwork officially placing the child in the home for adoption. Before the paperwork can be signed, a child must be free for adoption (meaning a court has terminated parental rights), have a permanency goal of adoption and the family must have been approved for adoption through a licensed child placing agency. Visit dfps.state.tx.us for information on adoption and all DFPS programs.

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California Department of Public Health (2025). Live Birth Profiles by County [Dataset]. https://data.chhs.ca.gov/dataset/live-birth-profiles-by-county
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Live Birth Profiles by County

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
csv(1911), csv(8256822), csv(9986780), zip, csv(456184)Available download formats
Dataset updated
Jun 26, 2025
Dataset authored and provided by
California Department of Public Healthhttps://www.cdph.ca.gov/
Description

This dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

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