22 datasets found
  1. T

    United States Nurses

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). United States Nurses [Dataset]. https://tradingeconomics.com/united-states/nurses
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1999 - Dec 31, 2024
    Area covered
    United States
    Description

    Nurses in the United States increased to 12.71 per 1000 people in 2024 from 12.36 per 1000 people in 2023. This dataset includes a chart with historical data for the United States Nurses.

  2. F

    Employed full time: Wage and salary workers: Registered nurses occupations:...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Registered nurses occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254487900A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Registered nurses occupations: 16 years and over (LEU0254487900A) from 2000 to 2024 about registered nurses, nursing, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  3. Forecast: Number of Nurses Graduates in the US 2024 - 2028

    • reportlinker.com
    Updated Apr 7, 2024
    + more versions
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    ReportLinker (2024). Forecast: Number of Nurses Graduates in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/20b0ed27ae504947e5326f6eb893f2b83adafb0e
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    Dataset updated
    Apr 7, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    United States
    Description

    Forecast: Number of Nurses Graduates in the US 2024 - 2028 Discover more data with ReportLinker!

  4. US Nursing Education Market Analysis, Size, and Forecast 2025-2029

    • technavio.com
    Updated Feb 8, 2025
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    Technavio (2025). US Nursing Education Market Analysis, Size, and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/nursing-education-market-in-us-industry-analysis
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    Dataset updated
    Feb 8, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States
    Description

    Snapshot img

    US Nursing Education Market Size 2025-2029

    The US nursing education market size is forecast to increase by USD 161.9 billion at a CAGR of 30% between 2024 and 2029.

    US Nursing Education Market is experiencing significant growth, driven by the increasing demand for competency-based learning and the integration of advanced technologies such as Augmented Reality (AR) and Virtual Reality (VR) in nursing education. The shift towards competency-based learning is a response to the evolving healthcare landscape and the need for nurses to possess a higher level of skills and knowledge to provide effective patient care. Furthermore, the use of AR and VR technologies in nursing education offers learning experiences, enabling students to practice complex procedures in a safe and controlled environment. However, the market is not without challenges.
    One of the significant challenges is the lack of standardized assessment metrics to measure the effectiveness of nursing education programs. This challenge hampers the ability to evaluate the success of educational initiatives and the readiness of graduates to enter the workforce. To capitalize on the market opportunities and navigate these challenges effectively, companies must focus on developing innovative solutions that address the need for competency-based learning and provide reliable assessment metrics. Additionally, investing in the integration of AR and VR technologies can offer a competitive edge in the market.
    

    What will be the size of the US Nursing Education Market during the forecast period?

    Request Free Sample

    The nursing education market in the US is experiencing significant growth and innovation, driven by the demand for advanced nursing informatics solutions and continuing education units. This trend is reflected in the development of nurse recruitment strategies that leverage telehealth platforms and nursing curriculum tailored to healthcare technology. Nursing salary trends continue to influence the market, as nursing informatics specialists become increasingly essential for effective healthcare data management. Nursing simulation software and nursing career pathways are key components of nursing education trends, providing clinical experience and patient safety initiatives that align with patient-centered care and improved health outcomes.
    Accreditation standards and nursing faculty recruitment are also critical areas of focus, as institutions seek to maintain high educational standards and remain competitive. Patient portals, mobile health apps, and nursing education consultants are essential tools for nursing workforce development, enabling professional growth and leadership training. Nursing ethics committees and clinical data analytics further enhance the quality of nursing education and research, ensuring that the nursing profession remains at the forefront of healthcare innovation.
    

    How is this market segmented?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Graduate courses
      Postgraduate courses
    
    
    End-user
    
      Hospitals
      Home healthcare services
    
    
    Program Type
    
      Associate Degree
      Bachelor's Degree
      Master's Degree
      Doctoral Programs
    
    
    Delivery Mode
    
      On-Campus
      Online
      Hybrid
    
    
    Institution Types
    
      Universities
      Community Colleges
      Vocational Schools
    
    
    Geography
    
      US
    

    By Type Insights

    The graduate courses segment is estimated to witness significant growth during the forecast period.

    The nursing education market in the US is experiencing significant growth due to the rising enrollment in undergraduate and graduate nursing programs. This trend is driven by the increasing demand for specialized nursing professionals in various fields, such as geriatric nursing, mental health nursing, and critical care nursing. The American Nurses Association and other nursing organizations advocate for continued nursing education as a means of addressing health disparities and improving patient care. E-learning platforms, nursing simulation labs, and clinical skills training are essential components of graduate nursing programs, providing students with the necessary theoretical and practical knowledge.

    Nursing informatics, healthcare reform, and patient safety are key areas of focus, with data analytics and clinical decision support playing crucial roles. The nursing workforce is evolving, with an emphasis on nurse retention, nursing leadership, and nursing professional development. Online nursing programs, mobile health, and wearable technology are transforming nursing education, making it more accessible and flexible. Nursing evaluation, nursing diagnosis, and nursing standards are integral parts of nursing education, ensuring that students are prepared for the nursing l

  5. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Registered nurses occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254541300A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Registered nurses occupations: 16 years and over (LEU0254541300A) from 2000 to 2024 about registered nurses, nursing, second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  6. Data from: Delivery and Evaluation of the 2012 International Association of...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Delivery and Evaluation of the 2012 International Association of Forensic Nurses (IAFN) National Blended Sexual Assault Forensic Examiner (SAFE) Training [UNITED STATES] [Dataset]. https://catalog.data.gov/dataset/delivery-and-evaluation-of-the-2012-international-association-of-forensic-nurses-iafn-nati-20c64
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The project sought to address the shortage of sexual assault forensic examiners (SAFE) by delivering and evaluating a comprehensive SAFE training program developed by the International Association of Forensic Nurses (IAFN). To assess if the training was effective, researchers conducted an outcome evaluation using a mixed methods approach, including quantitative pre-post training and qualitative interviews with instructors and students. The evaluation had three main components: 1) to assess training completion, including the percentage of students who completed the training and the factors that contributed to their completion; 2) to ascertain whether students attained knowledge through pre-test/post-tests and the factors that contributed to knowledge attainment; and 3) to determine whether students retained their knowledge using a post-training exam approximately three months following the training, and whether the students incorporated the core concepts of the training into their SAFE practice. The researchers divided the project into 3 studies. Study 1 examined how many students completed the training and what predicted training completion. Study 2a utilized a one-group pre-test post-test design where researchers assessed students' knowledge attainment for 12 online modules. Study 2b utilized a qualitative framework to understand the instructors' pedagogical approach to teaching clinical skills. In addition, researchers conducted qualitative interviews to examine the students' perceptions of the patient care and medical forensic exam skills gained from the clinical component in the SAFE training, and how the clinical training contributed to their skill development. Study 3a explored knowledge retention using an online post-training survey given to students three months following the training. Study 3b utilized the same qualitative framework as Study 2b. Only data for studies 1, 2a, and 3a are available with this collection. The data file has 198 cases and 675 variables. The qualitative interviews for Studies 2b and 3b are not available as part of this data collection at this time.

  7. A

    Health Resources: Population-to-nurse Ratios, 1996

    • data.amerigeoss.org
    • ouvert.canada.ca
    • +1more
    jp2, zip
    Updated Jul 22, 2019
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    Canada (2019). Health Resources: Population-to-nurse Ratios, 1996 [Dataset]. https://data.amerigeoss.org/de/dataset/f0e64df0-8893-11e0-a064-6cf049291510
    Explore at:
    jp2, zipAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Description

    Areas with a ratio of 100:1 or lower are found mainly in eastern Canada and Manitoba. These are areas where the number of registered nurses per capita is higher than the national rate. At the other end of the scale, regions with relatively few nurses per capita-with ratios greater than 200:1-predominate in the territories and the northern portions of many provinces. In general, higher numbers of nurses occur in locations throughout Canada where there are relatively high number of physicians and specialists.

  8. U.S. nursing assistants in nursing homes by ethnicity as of 2022

    • statista.com
    • ai-chatbox.pro
    Updated Sep 10, 2024
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    Statista (2024). U.S. nursing assistants in nursing homes by ethnicity as of 2022 [Dataset]. https://www.statista.com/statistics/858592/ethnicity-of-nursing-assistants-in-nursing-homes-us/
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    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2022, of the 458,590 nursing assistants in nursing homes in the United States, roughly four in ten were white. Meanwhile, Black or African American accounted for another 37 percent. Nursing assistants were therefore made up of predominantly racial minorities.

  9. Annual salary of registered nurses in the U.S. 2011-2024

    • statista.com
    Updated May 7, 2025
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    Annual salary of registered nurses in the U.S. 2011-2024 [Dataset]. https://www.statista.com/statistics/1254675/annual-salary-of-nurses-in-the-united-states/
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    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    United States
    Description

    Since 2011, the salary of registered nurses has been gradually increasing in the United States. By 2024, registered nurses in the U.S. had an average income of ****** US dollars compared to ****** in 2011. The average income of nurses decreased in 2012 and 2014, while in 2024, there was an increase of over ************* U.S. dollars from the previous year.

  10. F

    All Employees, Nursing and Residential Care Facilities

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). All Employees, Nursing and Residential Care Facilities [Dataset]. https://fred.stlouisfed.org/series/CES6562300001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for All Employees, Nursing and Residential Care Facilities (CES6562300001) from Jan 1990 to Jun 2025 about nursing homes, nursing, health, establishment survey, residential, education, services, employment, and USA.

  11. p

    Registered General Nurses in Vermont, United States - 100 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 13, 2025
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    Poidata.io (2025). Registered General Nurses in Vermont, United States - 100 Verified Listings Database [Dataset]. https://www.poidata.io/report/registered-general-nurse/united-states/vermont
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    excel, json, csvAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Vermont, United States
    Description

    Comprehensive dataset of 100 Registered general nurses in Vermont, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  12. Data from: Systems Change Analysis of Sexual Assault Nurse Examiner (SANE)...

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Systems Change Analysis of Sexual Assault Nurse Examiner (SANE) Programs in One Midwestern County of the United States, 1994-2007 [Dataset]. https://catalog.data.gov/dataset/systems-change-analysis-of-sexual-assault-nurse-examiner-sane-programs-in-one-midwest-1994-72c69
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    Midwestern United States, United States
    Description

    The purpose of this study was to determine whether adult sexual assault cases in a Midwestern community were more likely to be investigated and prosecuted after the implementation of a Sexual Assault Nurse Examiner (SANE) program, and to identify the 'critical ingredients' that contributed to that increase. Part 1 (Study 1: Case Records Quantitative Data) used a quasi-experimental, nonequivalent comparison group cohort design to compare criminal justice systems outcomes for adult sexual assault cases treated in county hospitals five years prior to the implementation of the Sexual Assault Nurse Examiner (SANE) program (January 1994 to August 1999) (the comparison group, n=156) to cases treated in the focal SANE program during its first seven years of operation (September 1999 to December 2005) (the intervention group, n=137). Variables include focus on case outcome, law enforcement agency that handled the case, DNA findings, and county-level factors, including prosecutor elections and the emergence of the focal SANE program. Part 2 (Study 2: Case Characteristics Quantitative Data) used the adult sexual assault cases from the Study 1 intervention group (post-SANE) (n=137) to examine whether victim characteristics, assault characteristics, and the presence and type of medical forensic evidence predicted case progression outcomes. Part 3 (Study 3: Police and Prosecutors Interview Qualitative Data) used in-depth interviews in April and May of 2007 with law enforcement supervisors (n=9) and prosecutors (n=6) in the focal county responsible for the prosecution of adult sexual assault crimes to explore if and how the SANEs affect the way in which police and prosecutors approach such cases. The interviews focused on four main topics: (1) whether they perceived a change in investigations and prosecution of adult sexual assault cases in post-SANE, (2) their assessment of the quality and utility of the forensic evidence provided by SANEs, (3) their perceptions regarding whether inter-agency training has improved the quality of police investigations and reports post-SANE, and (4) their perceptions regarding if and how the SANE program increased communication and collaboration among legal and medical personnel, and if such changes have influenced law enforcement investigational practices or prosecutor charging decisions.Part 4 (Study 4: Police Reports Quantitative Data) examined police reports written before and after the implementation of the SANE program to determine whether there had been substantive changes in ways sexual assaults cases were investigated since the emergence of the SANE program. Variables include whether the police had referred the case to the prosecutor, indicators of SANE involvement, and indicators of law enforcement effort. Part 5 (Study 5: Survivor Interview Qualitative Data) focused on understanding how victims characterized the care they received at the focal SANE program as well as their expriences with the criminal justices system. Using prospective sampling and community-based retrospective purposive sampling, twenty adult sexual assault vicitims were identified and interviewed between January 2006 and May 2007. Interviews covered four topics: (1) the rape itself and initial disclosures, (2) victims' experiences with SANE program staff including nurses and victim support advocates, (3) the specific role forensic evidence played in victims' decisions to participate in prosecution, and (4) victims' experiences with law enforcement, prosecutors, and judicial proceedings, and if/how the forensic nurses and advocates influenced those interactions. Part 6 (Study 6: Forensic Nurse Interview Qualitative Data) examined forensic nurses' perspectives on how the SANE program could affect survivor participation with prosecution indirectly and how the interactions between SANEs and law enforcement could be contributing to increased investigational effort. Between July and August of 2008, six Sexual Assault Nurse Examiners (SANEs) were interviewed. The interviews explored three topics: (1) the nurses' philosophy on victim reporting and participating in prosecution, (2) their perceptions regarding how patient care may or may not affect victim participation in the criminal justice system, and (3) their perception of how the SANE programs influence the work of law enforcement investigational practices.The interviews explored three topics: (1) the nurses' philosophy on victim reporting and participating in prosecution, (2) their perceptions regarding how patient care may or may not affect victim participation in the criminal justice system, and (3) their perception of how the SANE programs influence the work of law enforcement investigational practices.

  13. Licensed and Certified Healthcare Facility Listing

    • data.chhs.ca.gov
    • data.ca.gov
    • +5more
    csv, pdf, tableau +2
    Updated Jun 25, 2025
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    California Department of Public Health (2025). Licensed and Certified Healthcare Facility Listing [Dataset]. https://data.chhs.ca.gov/dataset/healthcare-facility-locations
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    tableau, pdf, csv(793019), xlsx(30428), xlsx(11897), pdf(95299), xlsx(16257), csv(7735675), zipAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx

    The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses and certifies more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a CDPH data system created to manage state licensing-related data and enforcement actions. This file includes California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification.

    To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. Facility geographic variables are updated monthly, if latitude/longitude information is missing at any point in time, it should be available when the next time the Open Data facility file is refreshed.

    Please note that the file contains the data from ELMS as of the 11th business day of the month. See DATA_DATE variable for the specific date of when the data was extracted.

    Map of all Health Care Facilities in California: https://go.cdii.ca.gov/cdph-facilities

  14. Registered nurse turnover rate in U.S. hospitals 2018-2024

    • statista.com
    Updated May 13, 2025
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    Statista (2025). Registered nurse turnover rate in U.S. hospitals 2018-2024 [Dataset]. https://www.statista.com/statistics/1251498/tunrover-rate-of-registered-nurses-in-hospitals-in-the-united-states/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the average turnover rate of all registered nurses (RNs) in U.S. hospitals stood at **** percent. The percentage of employees leaving hospitals has decreased since 2021 and for the first time it stands at a lower percentage than in 2020. At the same time, the turnover rate of all hospital staff was **** percent. For RNs who were full or part-time employees, turnover was consistently lower.

  15. Registered nurse turnover rate in the U.S. 2024, by discipline

    • statista.com
    Updated May 7, 2025
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    Statista (2025). Registered nurse turnover rate in the U.S. 2024, by discipline [Dataset]. https://www.statista.com/statistics/1251525/registered-nurse-turnover-rate-in-hospitals-in-the-united-states/
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    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024 - Dec 2024
    Area covered
    United States
    Description

    In 2024, the average turnover rate for registered nurses that worked in hospitals across the United States stood at **** percent. This was lower than the turnover rate of **** percent in 2022. According to this survey, the percentage of registered nurses (RN) that left hospitals in 2023 ranged from roughly ** percent to nearly ** percent, depending on the discipline. The highest RN turnover was found among Telemetry nurses. On the other hand, RN turnover was the lowest in Pediatrics.

  16. h

    health-worker-distribution-nurses-for-african-countries

    • huggingface.co
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    Electric Sheep, health-worker-distribution-nurses-for-african-countries [Dataset]. https://huggingface.co/datasets/electricsheepafrica/health-worker-distribution-nurses-for-african-countries
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    Dataset authored and provided by
    Electric Sheep
    Area covered
    Africa
    Description

    license: apache-2.0 tags: - africa - sustainable-development-goals - world-health-organization - development

      Health worker distribution (%) - Nurses
    
    
    
    
    
      Dataset Description
    

    This dataset provides country-level data for the indicator "3.c.1 Health worker distribution (%) - Nurses" across African nations, sourced from the World Health Organization's (WHO) data portal on Sustainable Development Goals (SDGs). The data is presented in a wide format, where each row… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/health-worker-distribution-nurses-for-african-countries.

  17. F

    Producer Price Index by Industry: Nursing Care Facilities

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Nursing Care Facilities [Dataset]. https://fred.stlouisfed.org/series/PCU623110623110
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Nursing Care Facilities (PCU623110623110) from Dec 1994 to May 2025 about nursing homes, nursing, PPI, industry, inflation, price index, indexes, price, and USA.

  18. CDC Child Growth Charts

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated Jul 26, 2023
    + more versions
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2023). CDC Child Growth Charts [Dataset]. https://catalog.data.gov/dataset/cdc-child-growth-charts
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    Dataset updated
    Jul 26, 2023
    Description

    CDC child growth charts consist of a series of percentile curves that illustrate the distribution of selected body measurements in U.S. children. Pediatric growth charts have been used by pediatricians, nurses, and parents to track the growth of infants, children, and adolescents in the United States since 1977. Growth charts are not intended to be used as a sole diagnostic instrument. Instead, growth charts are tools that contribute to forming an overall clinical impression for the child being measured.

  19. a

    US Hospital Beds Dashboard (Not Live Status!)

    • risp-cusec.opendata.arcgis.com
    Updated Mar 18, 2020
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    Central U.S. Earthquake Consortium (2020). US Hospital Beds Dashboard (Not Live Status!) [Dataset]. https://risp-cusec.opendata.arcgis.com/datasets/us-hospital-beds-dashboard-not-live-status
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    Dataset updated
    Mar 18, 2020
    Dataset authored and provided by
    Central U.S. Earthquake Consortium
    Description

    Note - this is not real-time status information, the data represents bed utilization based on annual estimates of how many beds are used versus available.Definitive Healthcare is the leading provider of data, intelligence, and analytics on healthcare organizations and practitioners. In this service, Definitive Healthcare provides intelligence on the numbers of licensed beds, staffed beds, ICU beds, and the bed utilization rate for the hospitals in the United States. Please see the following for more details about each metric, data was last updated on 17 March 2020:

    Number of Licensed beds: is the maximum number of beds for which a hospital holds a license to operate; however, many hospitals do not operate all the beds for which they are licensed. This number is obtained through DHC Primary Research. Licensed beds for Health Systems are equal to the total number of licensed beds of individual Hospitals within a given Health System.

    Number of Staffed Bed: is defined as an "adult bed, pediatric bed, birthing room, or newborn ICU bed (excluding newborn bassinets) maintained in a patient care area for lodging patients in acute, long term, or domiciliary areas of the hospital." Beds in labor room, birthing room, post-anesthesia, postoperative recovery rooms, outpatient areas, emergency rooms, ancillary departments, nurses and other staff residences, and other such areas which are regularly maintained and utilized for only a portion of the stay of patients (primarily for special procedures or not for inpatient lodging) are not termed a bed for these purposes. Definitive Healthcare sources Staffed Bed data from the Medicare Cost Report or Proprietary Research as needed. As with all Medicare Cost Report metrics, this number is self-reported by providers. Staffed beds for Health Systems are equal to the total number of staffed beds of individual Hospitals within a given Health System. Total number of staffed beds in the US should exclude Hospital Systems to avoid double counting. ICU beds are likely to follow the same logic as a subset of Staffed beds.

    Number of ICU Beds - ICU (Intensive Care Unit) Beds: are qualified based on definitions by CMS, Section 2202.7, 22-8.2. These beds include ICU beds, burn ICU beds, surgical ICU beds, premature ICU beds, neonatal ICU beds, pediatric ICU beds, psychiatric ICU beds, trauma ICU beds, and Detox ICU beds.

    Bed Utilization Rate: is calculated based on metrics from the Medicare Cost Report: Bed Utilization Rate = Total Patient Days (excluding nursery days)/Bed Days Available

    Potential Increase in Bed Capacity: This metric is computed by subtracting “Number of Staffed Beds from Number of Licensed beds” (Licensed Beds – Staffed Beds). This would provide insights into scenario planning for when staff can be shifted around to increase available bed capacity as needed.

    Hospital Definition: Definitive Healthcare defines a hospital as a healthcare institution providing inpatient, therapeutic, or rehabilitation services under the supervision of physicians. In order for a facility to be considered a hospital it must provide inpatient care.

    Hospital types are defined by the last four digits of the hospital’s Medicare Provider Number. If the hospital does not have a Medicare Provider Number, Definitive Healthcare determines the Hospital type by proprietary research.

    Hospital Types:

    ·
    Short Term Acute Care Hospital (STAC)

    o
    Provides inpatient care and other services for surgery, acute medical conditions, or injuries

    o
    Patients care can be provided overnight, and average length of stay is less than 25 days

    ·
    Critical Access Hospital (CAH)

    o
    25 or fewer acute care inpatient beds

    o
    Located more than 35 miles from another hospital

    o
    Annual average length of stay is 96 hours or less for acute care patients

    o
    Must provide 24/7 emergency care services

    o
    Designation by CMS to reduce financial vulnerability of rural hospitals and improve access to healthcare

    ·
    Religious Non-Medical Health Care Institutions

    o
    Provide nonmedical health care items and services to people who need hospital or skilled nursing facility care, but for whom that care would be inconsistent with their religious beliefs

    ·
    Long Term Acute Care Hospitals

    o
    Average length of stay is more than 25 days

    o
    Patients are receiving acute care - services often include respiratory therapy, head trauma treatment, and pain management

    ·
    Rehabilitation Hospitals

    o
    Specializes in improving or restoring patients' functional abilities through therapies

    ·
    Children’s Hospitals

    o
    Majority of inpatients under 18 years old

    ·
    Psychiatric Hospitals

    o
    Provides inpatient services for diagnosis and treatment of mental illness 24/7

    o
    Under the supervision of a physician

    ·
    Veteran's Affairs (VA) Hospital

    o
    Responsible for the care of war veterans and other retired military personnel

    o
    Administered by the U.S. VA, and funded by the federal government

    ·
    Department of Defense (DoD) Hospital

    o
    Provides care for military service people (Army, Navy, Air Force, Marines, and Coast Guard), their dependents, and retirees (not all military service retirees are eligible for VA services)

  20. V

    Immigrants in Virginia

    • data.virginia.gov
    pdf
    Updated Apr 16, 2024
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    Datathon 2024 (2024). Immigrants in Virginia [Dataset]. https://data.virginia.gov/dataset/immigrants-in-virginia
    Explore at:
    pdf(503293)Available download formats
    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Datathon 2024
    Area covered
    Virginia
    Description

    Virginia has a sizable immigrant community. About 12.3 percent of the state’s residents are foreign-born, and 6.7 percent of its U.S.-born residents live with at least one immigrant parent. Immigrants make up 15.6 percent of Virginia's labor force and support the local economy in many ways. They account for 20.7 percent of entrepreneurs, 21.8 percent of STEM workers, and 12.7 percent of nurses in the state. As neighbors, business owners, taxpayers, and workers, immigrants are an integral part of Virginia’s diverse and thriving communities and make extensive contributions that benefit all.

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TRADING ECONOMICS (2024). United States Nurses [Dataset]. https://tradingeconomics.com/united-states/nurses

United States Nurses

United States Nurses - Historical Dataset (1999-12-31/2024-12-31)

Explore at:
json, xml, csv, excelAvailable download formats
Dataset updated
Dec 15, 2024
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Dec 31, 1999 - Dec 31, 2024
Area covered
United States
Description

Nurses in the United States increased to 12.71 per 1000 people in 2024 from 12.36 per 1000 people in 2023. This dataset includes a chart with historical data for the United States Nurses.

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