In the fiscal year of 2021, 7,622 children adopted with public agency involvement in the United States were two years old at the time of adoption. In that same fiscal year, about 6,015 children adopted in the country were one year old at the time of their adoption.

In the fiscal year of 2022, about 51.81 percent of children adopted from abroad in the United States were female. In that fiscal year, there were 1,517 intercountry adoptions completed in the United States.

Among recent major technologies in the United States, generative artificial intelligence (AI) had a much steeper leap in users in year * from year * than the other major technologies. Nearly ** times the amount of people had used generative AI within a year of its making, compared to * times the amount of tablet users and barely * times the amount of smartphone users. This leap has not remained steady, however, and tablets had more users in year * since its release than is expected of generative AI. U.S. citizens are skeptical Adults in the United States were somewhat concerned with the development and growth of generative AI in 2023. While most were somewhat concerned another third was mostly concerned, and relatively few individuals were excited. This is understandable with the rapid growth of new technology, as change and unknown factors always cause concern among the wider population. Investment in tech going strong In the U.S. investment in new technologies and generative AI were among the highest in enterprises. These topped investments in hiring, cost-cutting, and outsourcing. This high rate of investment in new technologies and AI is likely driven by the whole-of-enterprise effect that these trends might have on companies.

The National Foster Care & Adoption Directory (formerly the National Adoption Directory) offers adoption and foster care resources by State.

States report information from two reporting populations: (1) The Served Population which is information on all youth receiving at least one independent living services paid or provided by the Chafee Program agency, and (2) Youth completing the NYTD Survey. States survey youth regarding six outcomes: financial self-sufficiency, experience with homelessness, educational attainment, positive connections with adults, high-risk behaviors, and access to health insurance. States collect outcomes information by conducting a survey of youth in foster care on or around their 17th birthday, also referred to as the baseline population. States will track these youth as they age and conduct a new outcome survey on or around the youth's 19th birthday; and again on or around the youth's 21st birthday, also referred to as the follow-up population. States will collect outcomes information on these older youth at ages 19 or 21 regardless of their foster care status or whether they are still receiving independent living services from the State. Depending on the size of the State's foster care youth population, some States may conduct a random sample of the baseline population of the 17-year-olds that participate in the outcomes survey so that they can follow a smaller group of youth as they age. All States will collect and report outcome information on a new baseline population cohort every three years.

Units of Response: Current and former youth in foster care

Type of Data: Administrative

Tribal Data: No

Periodicity: Annual

Demographic Indicators: Ethnicity;Race;Sex

SORN: Not Applicable

Data Use Agreement: https://www.ndacan.acf.hhs.gov/datasets/request-dataset.cfm

Data Use Agreement Location: https://www.ndacan.acf.hhs.gov/datasets/order_forms/termsofuseagreement.pdf

Granularity: Individual

Spatial: United States

Geocoding: FIPS Code

This study contains two data files. Data file one (Broadband Internet Availability, Speed, and Adoption by Census Tract) contains measures of broadband internet availability, speed, and adoption per United States census tract in 2014 through 2020. The data is derived from internet service providers' Form 477 reports to the Federal Communications Commission. Data file two (Broadband Internet Availability and Speed by ZIP Code Tabulation Area) contains measures of broadband internet access and usage per United States ZIP code tabulation area (ZCTA) in 2014 through 2020. The data is derived primarily from internet service providers' Form 477 reports to the Federal Communications Commission.

Market Size statistics on the Adoption & Child Welfare Services industry in the US

The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the Final 1993 AFCARS’ rule, states are required to collect and submit data on all children who are under the responsiblity of the title IV-B/IV-E agency for placement, care, or supervision.

Units of Response: Children in Foster Care

Type of Data: Administrative

Tribal Data: Unavailable

Periodicity: Semiannual

Demographic Indicators: Disability;Geographic Areas;Sex

SORN: https://www.federalregister.gov/documents/2016/12/14/2016-29366/adoption-and-foster-care-analysis-and-reporting-system

Data Use Agreement: https://www.ndacan.acf.hhs.gov/datasets/order_forms/termsofuseagreement.pdf

Data Use Agreement Location: https://www.ndacan.acf.hhs.gov/datasets/order_forms/termsofuseagreement.pdf

Granularity: Individual

Spatial: United States

Geocoding: FIPS Code

Comprehensive statistical analysis of curbside pickup adoption across U.S. retail sectors, including consumer usage rates, sales projections, retailer adoption percentages by category, conversion rates, and customer satisfaction metrics from 2022-2025.

This data product summarizes the extent of adoption of herbicide-tolerant (HT), insect-resistant (Bt), and those with both traits ("stacked") genetically engineered (GE) crops in the United States. Data cover GE varieties of corn, cotton, and soybeans over the 2000-2013 period, for the U.S.

This dataset tracks electric school bus (ESB) adoption across the United States. It tracks the number of “committed” ESBs at the school district level, as well as details about individual buses, including the bus manufacturer and funding source(s). It also tracks when each ESB passed through the phases of the adoption process and the current phase of each bus. The dataset contains school district socio-economic characteristics, like poverty rates, racial composition and air pollution to enable wider analysis including whether the transition to ESBs is happening equitably. This dataset was developed as part of WRI’s Electric School Bus Initiative. Findings from the dataset are summarized in our article on WRI Insights. The methods and sources for the dataset are described in the technical note. To be notified when the next update to this dataset is released, please sign up for updates from the Electric School Bus Initiative. We want to hear how you are using the data and how we can make it more useful in the future. Please submit feedback through this form.

Users can get information related to child welfare in the United States. Background The Child Welfare Information Gateway is part of the Administration of Children and Families. It provides resources and statistics related to child welfare, child abuse, child neglect, adoption and more. Resources are grouped under the following topics: family-centered practice; child abuse and neglect; preventing child abuse and neglect; responding to child abuse and neglect; supporting and preserving families; out-of-home care; achieving and maintaining permanency; and adoption. User Functionality The Child Welfare Information Gateway provides a number of resources for users. Users can search for foster care and adoption agencies by state using the National Foster Care and Adoption Directory; search for relevant publications using the Online Catalog and Library Search tools; search for State Statutes; and link to external databases related to child and family well-being, child abuse and neglect, child welfare and foster care, or adoption. Data Notes Years and data sources are clearly identified for each resource.

Title IV-E agencies—as of FFY 2015—are required to calculate and report annually their adoption savings, the methodology used to calculate the savings, how savings are spent, and on what services. In calculating adoption savings, title IV-E agencies must use a methodology specified by CB or may propose an alternative for approval. The methodology developed and issued by CB is referred to as “the CB Method.” This method can be applied either to a sample of cases or to the full universe of cases if the agency was able to access actual figures for needed information without conducting a special review. The statute also requires that the annual adoption savings information reported by state and tribal title IV-E agencies be posted on the CB website.

Units of Response: State, Tribe

Type of Data: Administrative

Tribal Data: Yes

COVID-19 Data: No

Periodicity: Annual

SORN: Not Applicable

Data Use Agreement: Not Applicable

Data Use Agreement Location: Not Applicable

Equity Indicators: Unavailable

Granularity: State;Tribe

Spatial: United States

Geocoding: State;Tribe

According to a survey conducted in 2021, ** percent of White Americans had a favorable opinion of private infant adoption in the United States. In comparison, ** percent of Hispanic Americans and ** percent of Black Americans shared this belief.

Comprehensive dataset containing 18 verified Adoption agency businesses in New Mexico, United States with complete contact information, ratings, reviews, and location data.

Financial overview and grant giving statistics of America World Adoption Association

Comprehensive dataset containing 13 verified Adoption agency businesses in Maine, United States with complete contact information, ratings, reviews, and location data.

Since federal fiscal year (FFY) 2010, the title IV-E Adoption Assistance program has provided expanded eligibility provisions for any child who meets the criteria for an “applicable child” as defined in section 473(e) of the Social Security Act (the Act). Use of the applicable-child eligibility provisions (section 473(a)(2)(A)(ii) of the Act) tends to result in more children being determined as eligible for title IV-E since it delinks eligibility for the title IV-E Adoption Assistance program from the requirements of the Aid to Families with Dependent Children program, among other changes. (See Program Instruction [PI] ACYF-CB-PI-09-10, dated August 26, 2009, for more details on the applicable-child eligibility criteria.) The increased eligibility allows states to receive additional federal funding for adoption, thereby allowing them to reduce the level of nonfederal funds they use for these services. The reduction in nonfederal spending is referred to as “adoption savings.” Federal law (section 473(a)(8) of the Act) requires title IV-E agencies to spend an amount equal to any savings they achieve as a result of applying the differing program eligibility criteria to applicable children for other child welfare service activities permitted under titles IV-B or IV-E of the Act. The amount of adoption savings is calculated based on the title IV-E Adoption Assistance program claims made on behalf of those children who, absent the applicable-child eligibility criteria, would not have been determined eligible for title IV-E Adoption Assistance. The savings are generally equal to the federal share of these claims since, in most instances, that amount would otherwise have been paid from nonfederal title IV-E agency funds. A portion of the expenditures of adoption savings funds must be used for specified services. To implement the adoption savings requirements, the Children’s Bureau (CB) issued PIs providing detailed guidance on the calculation, expenditure, and reporting of adoption savings and developed a new annual reporting form (CB-496 Part 4) to collect the information. See PIs ACYF-CB-PI-15-06 and ACYF-CB-PI-21-08 for details on these instructions. Title IV-E agencies—as of FFY 2015—are required to calculate and report annually their adoption savings, the methodology used to calculate the savings, how savings are spent, and on what services. In calculating adoption savings, title IV-E agencies must use a methodology specified by CB or may propose an alternative for approval. The methodology developed and issued by CB is referred to as “the CB Method.” This method can be applied either to a sample of cases or to the full universe of cases if the agency was able to access actual figures for needed information without conducting a special review. The statute also requires that the annual adoption savings information reported by state and tribal title IV-E agencies be posted on the CB website. Metadata-only record linking to the original dataset. Open original dataset below.

This survey provides nationally representative estimates on the characteristics, living arrangements, and service accessibility of noninstitutionalized children who were living apart from their parents (in foster care, grandparent care or other nonparental care) and who were aged 0 to 16 years in 2011-2012. Data on the well-being of the children and of their caregivers are also available. The children’s nonparental care status was identified in a previous SLAITS survey, the 2011-2012 National Survey of Children’s Health.

Units of Response: Caregiver

Type of Data: Survey

Tribal Data: No

Periodicity: One-time

Demographic Indicators: Disability;Ethnicity;Household Income;Household Size;Housing Status;Race;Sex

SORN: https://www.federalregister.gov/documents/2022/09/19/2022-20139/privacy-act-of-1974-system-of-records

Data Use Agreement: No

Data Use Agreement Location: Unavailable

Granularity: Household

Spatial: United States

Geocoding: Unavailable

Key indicators of broadband adoption, service and infrastructure in New York City by State Senate District Data Limitations: Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.