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

The Rise of Home Schooling

Data from The Post's analysis of home-schooling enrollment across the US

This repository shares data hand-collected by The Washington Post from individual school districts and states as a whole regarding home-school enrollment from 2017-18 through 2022-23. The data is what is behind this story published on Oct. 31, 2023 by Peter Jamison, Laura Meckler, Prayag Gordy, Clara Ence Morse and Chris Alcantara.

There are two separate data files, both of which cover the same time period: - home_school_district.csv - home_school_state.csv

There is also a data dictionary explaining each file.

Methodology

To measure the growth of home schooling during the pandemic, The Washington Post collected home-school student counts from 6,738 school districts. Together with students from The Washington Post Investigative Reporting Workshop practicum at American University, reporters trawled state websites, contacted education officials in all 50 states and the District of Columbia and submitted multiple public records requests for an annual count of home-schoolers from the 2017-18 school year through 2022-23. The Post ultimately collected data for all public school districts in 29 states and D.C. In all, The Post gathered data from states representing 61% of the American school-age population.

Three states — Pennsylvania, Rhode Island and Tennessee — have not published the number of home-schoolers in 2022-23, and Maine only shared district-level data starting with the 2020-21 school year. In seven states, The Post was unable to obtain usable home-school enrollment figures: In Arizona, Nevada and Oregon, only new home-school registrations are tracked annually at the district level; in North Carolina, home-school registration rolls are not regularly purged as students age out of the system; and in West Virginia, Utah and Alabama, annual enrollment data is unavailable. Eleven additional states do not require any notice when families decide to home-school their children, so enrollment figures in those states are also unavailable. Finally, Montana, Vermont and Nebraska collect data at a county level, not a district level, so there is no district data available - only statewide figures.

The Post made every effort to capture all legal ways to home-school, which vary by state. However, data on home schools established by certain methods, such as registering one’s home-school as a private school, are tracked by some states but not others. That means The Post’s tally is almost certainly an undercount, even in the states from which it gathered data. For instance, Wisconsin and Georgia only provided The Post with tallies of home-schoolers who had submitted required forms electronically. In Kentucky, some districts incorrectly reported zero or one home-schooled students in certain years, which a state education official attributed to an unclear form. The Post excluded those enrollment figures from its analysis. In California, which does not explicitly permit home schooling, many parents operate home-based private schools. The California Department of Education characterizes private schools with five or fewer students as home schools. In Louisiana, many home schools operate as nonpublic schools not seeking accreditation; The Post counted such schools with five or fewer students as home schools as well.

The statewide numbers are not always equivalent to the sum of all district totals in a state. Some states suppress district-level counts of home schoolers below a certain threshold. In Maine, the threshold is 5; in New Mexico, 6; in Mississippi, Ohio and Tennessee, 10; in Wisconsin before 2020-21, 5; and in Wisconsin from 2021-22 on, 20. The Post marked such suppressions as NA within its data. In addition, New Hampshire collects separate data on students who enter home schooling from schools run by the state department of education or from private schools; these additional students are reflected in state data but not district data.

The Post used a variety of methods to match each school district name to an NCES district id. However, this was not always possible. In Georgia, families self-report their school district on home-schooling forms; some report programs which are not school districts, and therefore have no corresponding NCES id. In California, families were only required to report county and school district beginning in 2020-21; in addition, district mergers and name changes mean that some districts could not be matched wi...

About this dataset

Context

The dataset tabulates the Sweden town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Sweden town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 9,518 (71.40% of the total population). 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.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Sweden town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Sweden town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Sweden town is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sweden town Population by Age. You can refer the same here

The Monthly Child Care Services Data Report - Families Served by County data set includes demographic data of parents and families of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by county for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

About this dataset

Context

The dataset tabulates the Dunnellon population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Dunnellon. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 1,245 (53.27% of the total population). 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.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Dunnellon population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Dunnellon is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Dunnellon is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Dunnellon Population by Age. You can refer the same here

The Monthly Child Care Services Data Report - Families Served by ZIP Code data set includes demographic data of parents and families of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by ZIP code for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

About this dataset

Context

The dataset tabulates the North Carolina population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of North Carolina. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 6.47 million (61.17% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the North Carolina population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in North Carolina is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the North Carolina is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for North Carolina Population by Age. You can refer the same here

The Monthly Child Care Services Data Report - Families Served by ZIP Code data set includes demographic data of parents and families of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by ZIP code for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

About this dataset

Context

The dataset tabulates the New Hampshire population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of New Hampshire. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 860,403 (62% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the New Hampshire population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in New Hampshire is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the New Hampshire is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Hampshire Population by Age. You can refer the same here

U.S. names organized by year and gender assigned at birth. Contains data from 1983 to 2022, and all names with 5 or more uses.

Contains the following columns:

Ranking (1 being the most-used name)

Name

Gender assigned at birth

Number of times the name was given

Percentage of births per gender given that name

BackgroundIn the US, people who don’t speak English well often have a lower quality of life than those who do [1]. They may also have limited access to health care, including mental health services, and may not be able to take part in key national health surveys like the Behavioral Risk Factor Surveillance System (BRFSS). Communities where many people have limited English skills tend to live closer to toxic chemicals. Limited English skills can also make it harder for community members to get involved in local decision-making, which can affect environmental policies and lead to health inequalities. Data SourceWashington Office of the Superintendent of Public Instruction (OSPI) | Public Records CenterMethodologyThe data was collected through a public records request from the OSPI data portal. It shows what languages students speak at home, organized by school district. OSPI collects and reports data by academic year. For example, the 2023 data comes from the 2022-2023 school year (August 1, 2022 to May 31, 2023). OSPI updates this information regularly.CaveatsThese figures only include households with children enrolled in public schools from pre-K through 12th grade. The data may change over time as new information becomes available. Source1. Shariff-Marco, S., Gee, G. C., Breen, N., Willis, G., Reeve, B. B., Grant, D., Ponce, N. A., Krieger, N., Landrine, H., Williams, D. R., Alegria, M., Mays, V. M., Johnson, T. P., & Brown, E. R. (2009). A mixed-methods approach to developing a self-reported racial/ethnic discrimination measure for use in multiethnic health surveys. Ethnicity & disease, 19(4), 447–453.CitationWashington Tracking Network, Washington State Department of Health. Languages Spoken at Home. Data from the Washington Office of Superintendent of Public Instruction (OSPI). Published January 2026. Web.

We linked information on SLL at residential properties with children’s BLLs, grouping children based on whether they had pre- and/or post-remediation BLLs. Our data includes PII and we have a data use agreement that was negotiated between the Douglas County Health Department and the U.S. Environmental Protection Agency. This agreement states that, “Upon completion of this work described herein, all Restricted Data records shall be destroyed or returned … within 30 days of the completion of the work. In addition, the Institutional Review Board (IRB) protocol (UNC-IRB No. 15-1629) further outlines how the confidentiality of the data will be protected during analysis. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Please contact Ellen Kirrane at kirrane.ellen@epa.gov. Format: Data is in tabular format. This dataset is associated with the following publication: Ye, D., J. Brown, D. Umbach, J. Adams, W. Thayer, M. Follansbee, and E. Kirrane. Estimating the effects of soil remediation on children’s blood lead near a former lead smelter in Omaha Nebraska, U.S.. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 130(3): 037008 1-17, (2022).

The Monthly Child Care Services Data Report - Families Served by ZIP Code data set includes demographic data of parents and families of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by ZIP code for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

The Monthly Child Care Services Data Report - Families Served by County data set includes demographic data of parents and families of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by county for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

To: State, territorial, tribal, and local administrators of agencies and programs focused on child, youth, and family health and well-being Dear Colleague, Maternal and infant health is an urgent priority, and a coordinated effort across health and human services is crucial to foster positive maternal health outcomes. The Administration for Children and Families (ACF) and other divisions of the U.S. Department of Health and Human Services (HHS) are responsible for many programs that support maternal and infant health, including home visiting, Head Start, child care, Medicaid, TANF, child support and others. One under-recognized risk to pregnant women and babies is the increasing rates of syphilis and congenital syphilis, now at their highest levels since 1950. While syphilis can be cured with proper testing and treatment, if left untreated it can lead to severe health complications and can be transmitted as congenital syphilis when an infected mother passes the disease to her baby during pregnancy or childbirth. This can result in outcomes that include miscarriages, stillbirths, low birth weight, and long-term health complications. Congenital syphilis is preventable with early detection and treatment. New CDC data paint a concerning picture, revealing that more than 3,700 babies were born with congenital syphilis in 2022—a dramatic increase compared to just 350 cases in 2012. This tenfold rise over the past decade follows rising syphilis cases among women of reproductive age combined with social and economic factors that create barriers to high-quality prenatal care, declines in the prevention infrastructure, and a lack of access to resources. Of particular concern is the increase in cases among American Indian and Alaskan Native populations. HHS established the National Syphilis and Congenital Syphilis Syndemic Federal Task Force , led by the Office of the Assistant Secretary for Health (OASH), in September 2023 to work to reduce syphilis and congenital syphilis through a variety of efforts. The Task Force members, from a variety of health and human services agencies across the federal government, have been working closely with many external partners to improve testing, treatment, and public awareness. While some of those most at risk may not be seeking or receiving health care or medical attention, they are likely receiving services and benefits from ACF-funded programs, as well as Medicaid, SNAP, and WIC, which are administered by human services agencies across states, counties, tribes, and territories. Human services providers can play an important role in addressing the syphilis epidemic by raising awareness and helping to facilitate access to early testing and treatment. There are simple tests and effective antibiotic treatments, but many people are not aware of their risks nor where to obtain tests. Staff at human services agencies have a unique opportunity to intervene and help protect the health of pregnant women and babies by educating clients on the risks and encouraging early and regular prenatal care, including testing, and treatment when necessary. Here are some ways you and your staff can get involved: Thank you for your support and partnership. Together we can make a meaningful difference in curbing this epidemic and saving lives. /s/Meg Sullivan, MD, MPHPrincipal Deputy Assistant Secretary Administration for Children and Families /s/David M. Johnson, MPHDeputy Assistant Secretary for Health Director, OASH Regional OfficesOffice of the Assistant Secretary for Health Metadata-only record linking to the original dataset. Open original dataset below.

The Monthly Child Care Services Data Report - Families Served by County data set includes demographic data of parents and families of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by county for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

The Monthly Child Care Services Data Report - Families Served by ZIP Code data set includes demographic data of parents and families of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by ZIP code for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

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

About this dataset

Context

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

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Portland, OR, is 19.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Portland, OR, is 19.7.
• Total dependency ratio for Portland, OR is 38.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Portland, OR is 5.1.

Content

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

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group for the Portland population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Portland for the selected age group is shown in the following column.
• Population (Female): The female population in the Portland for the selected age group is shown in the following column.
• Total Population: The total population of the Portland for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Portland Population by Age. You can refer the same here