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.

This chart counts children who exited DFPS custody to adoption during the fiscal year. To be adopted, a court must have terminated parental rights, the child must have lived with the adoptive family for at least 6 months, the family must have been approved for adoption through a licensed child placing agency and a court must have ordered legal custody to the adoptive parents.

Visit dfps.state.tx.us for information on all DFPS programs

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 chart counts the number of unique children in DFPS custody who lived in an adoptive placement at some point during the fiscal year. Children in DFPS custody are those for whom a court has appointed DFPS legal responsibility through temporary or permanent managing conservatorship or other court ordered legal basis. 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. Children may have more than one disabling condition. Drug/Alcohol disabling condition can either be due to self-abuse or exposure to an individual with the condition. Other includes teen parent or pregnant teen. Visit dfps.state.tx.us for more information about DFPS and our programs.

Key indicators of broadband adoption, service and infrastructure in New York City.

Key indicators of broadband adoption, service and infrastructure in New York City by Council District

Thirty-four percent of respondents stated that their organization had fully implemented data modernization technology such as Hadoop data lakes, while an additional 50 percent stated that their organization was currently in the implementation process, but had not yet completed their data modernization. The financial services industry is the frontrunner, with about 90 percent respondents from this industry stating that their organization had been in the process of modernizing their data.

Cover crops have critical significance for agroecosystem sustainability and have long been promoted in the U.S. Midwest. Knowledge of the variations of cover cropping and the impacts of government policies remains very limited. We developed an accurate and cost-effective approach utilizing multi-source satellite fusion data, environmental variables, and machine learning to quantify cover cropping in corn and soybean fields from 2000 to 2021 in the U.S. Midwest. We found that cover crop adoption in most counties has significantly increased in the recent 11 years from 2011 to 2021. The adoption percentage of 2021 is 3.3 times that of 2011, which was highly correlated to the increased funding for federal and state conservation programs. However, the percentage of cover crop adoption is still low (7.2%). The averaged county-level cover crop adoption rates in 2000-2010 and 2011-2021 are publicly available on Dryad.

Electronic prescribing (eRx) is a key component of the meaningful use of health IT to improve health care quality and lower costs. This dataset includes national and state eRx and health information exchange activity by community pharmacies and office-based health care providers active through the Surescripts Network. Surescripts is a health information network, and ONC procured electronic prescribing activity data conducted within its network from December 2008 through April 2014. The Surescripts network is used by the majority of all U.S. community pharmacies to rout prescriptions, excluding closed systems such as Kaiser Permanente. These include chain, franchise, and independently owned pharmacies. Data for annual percentages of new and renewal prescriptions routed through the Surescripts network exclude controlled substances. You may view more information about Surescripts, contact the company, and access more network data through the company's official site.

Electronic prescribing (eRx) is a key component of the meaningful use of health IT to improve health care quality and lower costs. This dataset includes county-level electronic prescribing (eRx) and health information exchange activity by community pharmacies and office-based health care providers active through the Surescripts Network. Surescripts is a health information network, and ONC procured electronic prescribing activity data conducted within its network from December 2008 through April 2014. The Surescripts network is used by the majority of all U.S. community pharmacies to rout prescriptions, excluding closed systems such as Kaiser Permanente. These include chain, franchise, and independently owned pharmacies. Data for annual percentages of new and renewal prescriptions routed through the Surescripts network exclude controlled substances. You may view more information about Surescripts, contact the company, and access more network data through the company's official site.

The table Counties is part of the dataset Electric School Bus (ESB) Adoption in the United States - May, 2022 ***, available at https://redivis.com/datasets/y29n-14cwxamcw. It contains 25410 rows across 6 variables.

Electronic prescribing (eRx) is a key component of the meaningful use of health IT to improve health care quality and lower costs. This dataset includes national and state eRx and health information exchange activity by community pharmacies and office-based health care providers active through the Surescripts Network. Surescripts is a health information network, and ONC procured electronic prescribing activity data conducted within its network from December 2008 through April 2014. The Surescripts network is used by the majority of all U.S. community pharmacies to rout prescriptions, excluding closed systems such as Kaiser Permanente. These include chain, franchise, and independently owned pharmacies. Data for annual percentages of new and renewal prescriptions routed through the Surescripts network exclude controlled substances. You may view more information about Surescripts, contact the company, and access more network data through the company's official site.

We put forward a new approach to studying issue definition within the context of policy diffusion. Most studies of policy diffusion---which is the process by which policymaking in one government affects policymaking in other governments---have focused on policy adoptions. We shift the focus to an important but neglected aspect of this process: the issue-definition stage. We use topic models to estimate how policies are framed during this stage and how these frames are predicted by prior policy adoptions. Focusing on smoking restriction in U.S. states, our analysis draws upon an original dataset of over 52,000 paragraphs from newspapers covering 49 states between 1996 and 2013. We find that frames regarding the policy's concrete implications are predicted by prior adoptions in other states, while frames regarding its normative justifications are not. Our approach and findings open the way for a new perspective to studying policy diffusion in many different areas.

Scenario data from the Electrification Futures Study Scenarios of Electric Technology Adoption and Power Consumption for the United States report. Annual projections from 2017 to 2050 of electric technology adoption and energy consumption for five scenarios reference electrification medium electrification high electrification electrification potential and low electricity growth. Each scenario assumes moderate technology advancement as described by Jadun et al. 2017 https//www.nrel.gov/docs/fy18osti/70485.pdf.

This geospatial dataset represents climate change mitigation benefits from widespread cover crop adoption on U.S. cropland. We simulated changes in soil organic carbon stocks and nitrous oxide fluxes over a 20-year period for baseline cover crop adoption rates (derived from historical adoption rates) and a high cover crop adoption (80%) scenario in the continental U.S. Data were generated using the DayCent ecosystem model driven by cropping histories in the USDA National Resources Inventory (NRI) and associated agricultural management data. Here we present the mean and standard deviation of annual soil organic carbon stock changes and nitrous oxide fluxes for both baseline and high cover crop adoption scenarios on a county level., We compared a high (80%) cover crop (CC) adoption scenario with the most current CC adoption rates in each region (NASS, 2017) and projected the 20-year soil organic carbon (SOC) stock change and N2O flux for each scenario. The DayCent biogeochemical model was used to simulate the effect of CC on 132,319 survey locations included in the National Resources Inventory (NRI), a program that monitors land use in the United States and cumulatively represent 94.1 Mha of cropland in the country. Either crimson clover (Trifolium incarnatum L.), cereal rye (Secale cereale L.), or radish (Raphanus sativus) CC were simulated depending on regional CC species preferences and compatibility with the crop rotation and management specific to each NRI location. A Monte Carlo approach adapted from Ogle et al. (2010, 2023) was used to quantify uncertainty associated with management input data and error in model parameters. We aggregated average annual SOC stock change and N2O flux for the baseline and high ..., , # Climate change mitigation potential of widespread cover crop adoption in U.S.

https://doi.org/10.5061/dryad.fbg79cp3v

This geospatial dataset represents climate change mitigation benefits from widespread cover crop adoption on U.S. cropland. We simulated changes in soil organic carbon stocks and nitrous oxide fluxes over a 20-year period for baseline cover crop adoption rates (derived from historical adoption rates) and a high cover crop adoption (80%) scenario in the continental U.S. Data were generated using the DayCent ecosystem model driven by cropping histories in the USDA National Resources Inventory (NRI) and associated agricultural management data. Here we present the mean and standard deviation of annual soil organic carbon stock changes and nitrous oxide fluxes for both baseline and high cover crop adoption scenarios on a county level.

Description of the data and file structure

We compared a high (80%) cover crop (CC) adoptio...

This data represents unaccompanied children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.

Purpose – The imposition of term limits in bicameral (two-chamber) state legislatures could produce unforeseen consequences in the policymaking process. Supporters of term limit rules have not considered that their imposition could fundamentally shift the sequence of policymaking in legislatures. This is important given that research on sequential bicameral policymaking suggests qualities of the lower chamber allow it to cultivate policy expertise such that the upper chamber will defer to the lower chamber in policymaking. This project aims to explore whether this proposed policymaking sequence exists in term-limited states. Design/methodology/approach – A comparison of policy adoptions in states with and without term limits is performed using an original data set on bill adoptions for all US bicameral legislatures that had a regular session between the years 2000 and 2006. Least-squares regression models evaluate whether basic characteristics of legislatures are as relevant as term limit characteristics in explaining the level of outputs from the lower chamber in term-limited states. Findings – In states with term limits, the level of policy adoptions initiated by the lower chamber is lower than levels seen in states without term limits. This finding holds when controlling for other relevant variables that can potentially explain lower chamber productivity. Research limitations/implications – The study analyzes aggregate state-level data and does not interview individual legislators in states with and without term limits on whether term limits can alter future legislative behavior. Originality/value – This study is the first to examine whether the policymaking sequence differs between states that possess and do not possess term limit rules.

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

This counts placement types, not unique children in substitute care. Children will be duplicated by moving from foster care to other substitute care or by relative to non-relative placements. For example, a child who spent a portion of the year with a relative, but the rest with a non-relative would be counted twice. Children in DFPS custody are those for whom a court has appointed DFPS legal responsibility through temporary or permanent managing conservatorship or other court ordered legal basis. These children may be residing in substitute care or may be living with a parent, referred to as a return and monitor. DFPS legal responsibility terminates when a court orders DFPS custody ended or a youth turns 18, whichever comes first. Substitute care - all children who are living in a DFPS out of home placement. It does not include children in DFPS custody who are living with a parent on a return and monitor. Unless otherwise noted, it does include youth over 18 who are in extended foster care but are not in DFPS custody. Kinship care- a subset of substitute care that includes all children in DFPS custody who are living with a legal or blood relative or other individual who has a significant relationship with the child or the child's family known as "fictive kin." Foster care - a subset of substitute care that includes all children living in a placement that has been verified to provide 24-hour residential care for a child, in accordance with Chapter 42 of the Human Resources Code and related regulations. These placements include foster homes, including kinship care where the caregiver has been verified, general residential operations (GRO), emergency shelters, residential treatment centers (RTC), and juvenile facilities. Paid foster care - a subset of foster care where DFPS is making foster care payments. Visit dfps.state.tx.us for information on substitute care placements and all DFPS programs.

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale energy data. The UER is intended to promote and facilitate community-based energy planning and energy use awareness and engagement. On April 19, 2018, the New York State Public Service Commission (PSC) issued the Order Adopting the Utility Energy Registry under regulatory CASE 17-M-0315. The order requires utilities and CCA administrators under its regulation to develop and report community energy use data to the UER. This dataset includes electricity and natural gas usage data reported by utilities at the county level. Other UER datasets include energy use data reported at the city, town, and village, and ZIP code level. Data in the UER can be used for several important purposes such as planning community energy programs, developing community greenhouse gas emissions inventories, and relating how certain energy projects and policies may affect a particular community. It is important to note that the data are subject to privacy screening and fields that fail the privacy screen are withheld. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.