Worldwide, more than *** in ** respondents support adoption for same-sex couples. Among the ** countries surveyed, the Spain, Thailand, Portugal, and Sweden registered the highest share of interviewees who agreed that same-sex couples should have the same rights to adopt children as heterosexual couples do. On the contrary, the most adversary countries towards adoption for same-sex couples were Romania, Turkey, and Poland.

This table reflects the number of children adopted by families in China from 1996 to 2023. In 2023, about ***** adoption cases were registered in China.

Number of Finalized Adoptions between July 1, 2015 and September 30, 2015; number of new Adoptive Placements between July 1, 2015 and September 30, 2015; number of Approved Applicants as of September 30, 2015; and number of Adoptive Applicants in Process as of September 30, 2015.

Provides de-identified data on the number of applications, files and placements for adoptions in each year (separated by country).\r \r More information about this dataset can be found on the website of the Attorney-General's Department

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Financial overview and grant giving statistics of Adoption Is An Option

Formerly Adoption of Looked After Children. This statistical bulletin provides information about children adopted from care in Northern Ireland during the year ending 31 March. The tables in the bulletin detail a range of information relating to children adopted from care, including gender and age, and the durations between different stages in the adoption process.

Source agency: Health, Social Service and Public Safety (Northern Ireland)

Designation: National Statistics

Language: English

Alternative title: Adoption

Financial overview and grant giving statistics of Adoption and Foster Care Clinic

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

Introduction

HR Technology Adoption Statistics: HR technology adoption has become essential for businesses aiming to streamline operations and improve employee experience. Over 75% of companies globally are utilizing HR technology, with cloud-based solutions making up 60% of the market.

Automation, artificial intelligence (AI), and data analytics are key drivers, enhancing processes like recruitment (80% of organizations use applicant tracking systems), payroll, and performance management. Small and medium enterprises (SMEs) are also embracing HR software, with over 50% adopting such solutions.

This digital transformation is reshaping HR departments, driving data-driven decisions, improving employee engagement (68% of HR professionals report increased engagement), and boosting operational efficiency. As investment in HR technology surpasses $25 billion in 2024, the trend toward modernization continues to grow.

aachen-kreis aachen-krfr_-stadt adoptierte-kinder-und-jugendliche bielefeld-krfr_-stadt bochum-krfr_-stadt bonn-krfr_-stadt borken-kreis bottrop-krfr_-stadt coesfeld-kreis dortmund-krfr_-stadt du_ren-kreis du_sseldorf-krfr_-stadt duisburg-krfr_-stadt ennepe-ruhr-kreis essen-krfr_-stadt euskirchen-kreis gelsenkirchen-krfr_-stadt geschlecht gu_tersloh-kreis hagen-krfr_-stadt hamm-krfr_-stadt heinsberg-kreis herford-kreis herne-krfr_-stadt ho_xter-kreis hochsauerlandkreis jahr kleve-kreis ko_ln-krfr_-stadt krefeld-krfr_-stadt kreisfreie-sta_dte-und-kreise leverkusen-krfr_-stadt lippe-kreis ma_nnlich ma_rkischer-kreis mettmann-kreis minden-lu_bbecke-kreis mo_nchengladbach-krfr_-stadt mu_lheim-an-der-ruhr-krfr_-stadt mu_nster-krfr_-stadt oberbergischer-kreis oberhausen-krfr_-stadt olpe-kreis paderborn-kreis recklinghausen-kreis remscheid-krfr_-stadt rhein-erft-kreis rhein-kreis-neuss rhein-sieg-kreis rheinisch-bergischer-kreis siegen-wittgenstein-kreis soest-kreis solingen-krfr_-stadt sta_dteregion-aachen-einschl_-stadt-aachen statistik-der-adoptionen steinfurt-kreis unna-kreis viersen-kreis warendorf-kreis weiblich wesel-kreis wuppertal-krfr_-stadt

This dataset contains aggregate data concerning the number of children that exited DCF care to an Adoption. These figures are broken out by the DCF Region and Office responsible for the child's care, by their Race/Ethnicity, and by whether their exit from care occurred within 24 months of their entry to care or not. It would be appropriate to roll up the data from all variables across multiple time periods, as they represent specific events in the lives of these children. Please note that these figures do not represent unique children, and so should not be used as the basis for creating a rate based on the child population of the state. These data form the basis of measurement for the Juan F. Consent Decree Exit Plan Outcome #8: Adoption Within 24 Months, although those figures are reported to the DCF Court Monitor on a quarterly rather than annual schedule.

The department is court ordered to complete a home investigation to determine if potential adoptive family whom is seeking permanency is suitable for placement. This data represents the number of investigations undertaken by this office in 2008

There is no description available for this dataset.

Users can download data regarding characteristics and adoptive experiences of families of adoptive children. Topics include type of adoption, birth family contact, developmental problems, and adoption support. BackgroundThe National Survey of Adoptive Parents (NSAP) is a SLAITS survey operated by the Centers for Disease Control and Prevention (CDC) and National Center for Health Statistics (HCHS) and is sponsored by the Department of Health and Human Services (DHHS). NSAP provides information on characteristics, pre-adoption experiences and post-adoption support experiences of families of adoptive children. Topics include, but are not limited to: type of adoption, birth family contact, developmental problems, and adoption support. User FunctionalityUsers can download the survey instrument and frequency counts as PDFs, the codebook into Microsoft Excel and the public-access dataset into SAS statistical software. Data NotesThe NSAP telephone interview was administered to parents (n=2,089) who adopted a child 0 to 17 years of age. Children were identified as being adopted through the US foster care system, domestic private adoption agencies, or in ternational adoption agencies. Parents were identified through the National Survey of Children’s Health (NSCH). Data were collected between April 2007 and July 2008 and are available on a national level.

While artificial intelligence (AI) saw a staggering growth in adoption rates from 2017 to 2018, it has leveled off significantly since 2019. It grew nearly *** times in 2022 compared to its adoption rate in 2017. Much of this can be attributed to AI being more understood as an inherent tool of optimizing business and operations in 2022. It is less amazingly novel and rather an understood factor of value-adding in businesses.