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.

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.

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

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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?

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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 licens

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.

The USA: Nurse to hospital bed ratio: The latest value from 2018 is 2.93 nurse to bed ratio, an increase from 2.84 nurse to bed ratio in 2017. In comparison, the world average is 1.48 nurse to bed ratio, based on data from 29 countries. Historically, the average for the USA from 1991 to 2018 is 1.95 nurse to bed ratio. The minimum value, 1.12 nurse to bed ratio, was reached in 1991 while the maximum of 2.93 nurse to bed ratio was recorded in 2018.

The graph illustrates the number of active nurses in the United States, categorized by type: registered nurses and practical nurses. The x-axis represents the nurse types, while the y-axis indicates the total number of active nurses. Registered nurses have the highest count at 5,009,284, while practical nurses account for 920,013. The data highlights the significant difference in the number of active nurses between these two categories, emphasizing the larger workforce of registered nurses compared to practical nurses. This information is presented in a bar graph to compare the two categories visually.

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

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.

To estimate county of residence of Filipinx healthcare workers who died of COVID-19, we retrieved data from the Kanlungan website during the month of December 2020.22 In deciding who to include on the website, the AF3IRM team that established the Kanlungan website set two standards in data collection. First, the team found at least one source explicitly stating that the fallen healthcare worker was of Philippine ancestry; this was mostly media articles or obituaries sharing the life stories of the deceased. In a few cases, the confirmation came directly from the deceased healthcare worker's family member who submitted a tribute. Second, the team required a minimum of two sources to identify and announce fallen healthcare workers. We retrieved 86 US tributes from Kanlungan, but only 81 of them had information on county of residence. In total, 45 US counties with at least one reported tribute to a Filipinx healthcare worker who died of COVID-19 were identified for analysis and will hereafter be referred to as “Kanlungan counties.” Mortality data by county, race, and ethnicity came from the National Center for Health Statistics (NCHS).24 Updated weekly, this dataset is based on vital statistics data for use in conducting public health surveillance in near real time to provide provisional mortality estimates based on data received and processed by a specified cutoff date, before data are finalized and publicly released.25 We used the data released on December 30, 2020, which included provisional COVID-19 death counts from February 1, 2020 to December 26, 2020—during the height of the pandemic and prior to COVID-19 vaccines being available—for counties with at least 100 total COVID-19 deaths. During this time period, 501 counties (15.9% of the total 3,142 counties in all 50 states and Washington DC)26 met this criterion. Data on COVID-19 deaths were available for six major racial/ethnic groups: Non-Hispanic White, Non-Hispanic Black, Non-Hispanic Native Hawaiian or Other Pacific Islander, Non-Hispanic American Indian or Alaska Native, Non-Hispanic Asian (hereafter referred to as Asian American), and Hispanic. People with more than one race, and those with unknown race were included in the “Other” category. NCHS suppressed county-level data by race and ethnicity if death counts are less than 10. In total, 133 US counties reported COVID-19 mortality data for Asian Americans. These data were used to calculate the percentage of all COVID-19 decedents in the county who were Asian American. We used data from the 2018 American Community Survey (ACS) five-year estimates, downloaded from the Integrated Public Use Microdata Series (IPUMS) to create county-level population demographic variables.27 IPUMS is publicly available, and the database integrates samples using ACS data from 2000 to the present using a high degree of precision.27 We applied survey weights to calculate the following variables at the county-level: median age among Asian Americans, average income to poverty ratio among Asian Americans, the percentage of the county population that is Filipinx, and the percentage of healthcare workers in the county who are Filipinx. Healthcare workers encompassed all healthcare practitioners, technical occupations, and healthcare service occupations, including nurse practitioners, physicians, surgeons, dentists, physical therapists, home health aides, personal care aides, and other medical technicians and healthcare support workers. County-level data were available for 107 out of the 133 counties (80.5%) that had NCHS data on the distribution of COVID-19 deaths among Asian Americans, and 96 counties (72.2%) with Asian American healthcare workforce data. The ACS 2018 five-year estimates were also the source of county-level percentage of the Asian American population (alone or in combination) who are Filipinx.8 In addition, the ACS provided county-level population counts26 to calculate population density (people per 1,000 people per square mile), estimated by dividing the total population by the county area, then dividing by 1,000 people. The county area was calculated in ArcGIS 10.7.1 using the county boundary shapefile and projected to Albers equal area conic (for counties in the US contiguous states), Hawai’i Albers Equal Area Conic (for Hawai’i counties), and Alaska Albers Equal Area Conic (for Alaska counties).20

Long-term quantitative series for 20 Latin American countries, spanning from 1960 to 2020, on the number of hospital beds, physicians, nurses and healthcare expenditure.

Matus-Lopez, M. and Fernández Pérez, P. 2023. "Transformations in Latin American Healthcare: A Retrospective Analysis of Hospital Beds, Medical Doctors, and Nurses from 1960 to 2022". Journal of Evolutionary Studies in Business.

The information was extracted from official reports and cross-country databases. Official reports were available in digital format in the Institutional Repository for Information Sharing (IRIS) of Pan American Health Organization (PAHO). They were summary of four-year reports on Health Conditions in the Americas (PAHO 1962, 1966, 1970, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002a), annual reports of Basic Indicators (PAHO 2002b, 2007, 2008, 2010, 2013), Health in South America (PAHO 2012) and Core Indicators (PAHO 2016). Databases were Open Data Portal of the Pan American Health Organization (PLISA) (PAHO 2023), Core Indicator Database provided directly by PAHO (PAHO 2022), Data Portal of National Health Workforce Accounts of the World Health Organization (NHWA) (WHO 2022), and the Global Health Expenditure Database of the World Health Organization (GHED) (WHO 2023).

Serie 1. Hospital Beds per 1,000 inhabitants

Serie 2. Physicians per 10,000 inhabitants

Serie 3. Nurses per 10,000 inhabitants

Serie 4. Government spending on health, per capita. Constant US dollars of 2020

Cite as:

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.

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.

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

Clinical Nurse Scheduling Software Market Outlook

The global market size for Clinical Nurse Scheduling Software in 2023 is estimated to be approximately $800 million and is projected to reach around $1.5 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 7.2%. This significant growth can be attributed to the increasing demand for efficient healthcare operations, the rise in the number of healthcare facilities, and the growing adoption of advanced technology for workforce management.

One of the primary growth factors driving the Clinical Nurse Scheduling Software market is the pressing need for optimized staffing in healthcare facilities. As the healthcare industry continues to expand with an aging population and the rise in chronic diseases, the demand for skilled nursing staff has surged. Efficient scheduling software helps in addressing staffing shortages, reducing burnout, and ensuring that patient care is not compromised. Such software solutions also enable better resource allocation, thereby enhancing the overall efficiency of healthcare operations.

Another significant growth factor is the technological advancements in software development. The introduction of Artificial Intelligence (AI) and Machine Learning (ML) in clinical nurse scheduling software has revolutionized workforce management. These advanced technologies can predict staffing needs based on historical data, patient influx, and other variables, offering a more dynamic and responsive scheduling system. This results in reduced operational costs and improved patient care, making it an attractive investment for healthcare providers.

The increasing adoption of cloud-based solutions also plays a crucial role in the market's growth. Cloud-based scheduling software offers the flexibility and scalability needed to meet the varying demands of healthcare institutions. It eliminates the need for heavy infrastructure investments and allows for real-time updates and mobile accessibility. This shift towards cloud-based solutions is particularly beneficial for small to medium-sized healthcare facilities that may not have the resources for extensive IT infrastructure.

In the context of healthcare staffing, Per Diem Nurse Staffing has emerged as a flexible and cost-effective solution for many healthcare facilities. This staffing model allows hospitals and clinics to meet fluctuating patient demands without the long-term commitment of full-time staff. By leveraging per diem staff, healthcare providers can maintain optimal nurse-to-patient ratios, ensuring high-quality care even during peak times. This approach not only helps in managing labor costs but also provides nurses with the flexibility to choose shifts that fit their schedules, thereby enhancing job satisfaction and reducing burnout. As the demand for adaptable staffing solutions grows, the integration of per diem staffing with advanced scheduling software becomes increasingly vital.

Regionally, North America holds the largest market share due to the well-established healthcare infrastructure and the rapid adoption of advanced technologies. However, Asia Pacific is expected to witness the highest growth rate, driven by the increasing number of healthcare facilities and government initiatives to improve healthcare services. Europe also shows promising growth potential with the ongoing digital transformation in the healthcare sector.

Component Analysis

The component segment of the Clinical Nurse Scheduling Software market is divided into Software and Services. The software segment holds a significant share due to the increasing need for advanced scheduling solutions. Modern software applications offer a range of features including shift swapping, automated scheduling, and predictive analytics, which are essential for optimizing nurse management. These functionalities not only improve operational efficiency but also enhance staff satisfaction by providing more flexibility and transparency in scheduling.

On the services front, there is a growing demand for implementation, training, and support services. As healthcare facilities adopt new scheduling software, the need for seamless integration with existing systems becomes critical. Service providers offer customized solutions that ensure the software is efficiently integrated and optimized according to the specific needs of the facility. Additionally, training services are crucial for staff to effectively use the new software, t

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.

Demographic and experience details for nurses and CHWs working in Rural KwaZulu-Natal.

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Point Of Care Data Management Software Market Size 2024-2028

The point of care data management software market size is forecast to increase by USD 636.4 million, at a CAGR of 12.11% between 2023 and 2028.

The market is experiencing significant growth due to several key drivers. Firstly, the elimination of human errors in data entry and processing is a major advantage, leading to improved accuracy and efficiency in healthcare delivery. Secondly, the rising initiatives for the adoption of Electronic Health Records (EHRs) have created a demand for POC data management software, enabling seamless data access and sharing among healthcare providers. However, privacy and security concerns remain a challenge, as sensitive patient information must be protected. Market trends include the integration of artificial intelligence and machine learning technologies to enhance data analysis and decision-making capabilities, as well as the increasing use of cloud-based solutions for remote access and real-time data sharing. Overall, the POC data management software market is expected to continue its growth trajectory, driven by these factors and the increasing need for efficient and accurate data management in healthcare.

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The market is witnessing significant growth due to the increasing adoption of POC testing in hospitals and clinics. POC testing allows doctors and nurses to make quick decisions based on real-time patient data, especially in critical care units such as ICUs. The market is driven by the rising prevalence of infectious diseases, lifestyle-related diseases, and cardiac diseases, which require timely diagnosis and treatment. POC testing is increasingly being used for diseases like diabetes, where continuous monitoring of blood glucose levels is essential. The market for home-based POC devices is also growing rapidly, especially for diabetes patients who require regular monitoring.
Electronic Health Records (EHR) and healthcare data analytics are essential components of POC data management software, enabling patient-centered care and population health management. The market for POC data management software includes various types of devices such as blood gas analyzers, SmartICUs, and rapid tests. Chronic lower respiratory diseases are a significant application area for POC testing and data management software. Medical centers and critical care units are the major end-users of POC data management software, and the market is expected to grow at a steady pace in the coming years.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  On-premises
  Cloud


Geography

  North America

    US


  APAC

    China
    Japan


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

Point of Care (POC) technologies have revolutionized healthcare by enabling real-time diagnosis and treatment of various diseases at the bedside or in clinics. Hospitals and diagnostic clinics are major end-users of POC data management software, which facilitates patient flow, improves communication between doctors and nurses, and enhances patient-centered care. POC testing plays a crucial role in managing infectious diseases, lifestyle-related diseases, and chronic conditions such as diabetes, cardiac diseases, and respiratory diseases like COPD and asthma. Home-based POC devices have gained popularity among diabetes patients, enabling self-monitoring and remote monitoring by healthcare providers. Electronic Health Records (EHR) and healthcare data analytics are integral components of POC data management software, allowing for population health management and critical care units' effective management.

ICUs and critical care units require real-time data analysis to ensure optimal patient care, making POC data management software indispensable. Blood gas analyzers, such as SmartICU, are essential POC devices used in critical care units to monitor patients' oxygen levels and acid-base balance. NTT DATA, Roche, Glytec, MEDITECH, and DataLink Software are prominent players in the POC data management market. Rapid tests for infectious diseases and chronic lower respiratory diseases are also critical applications of POC data management software. The market for POC data management software is expanding in geographic markets, with CLIA-waived tests and PRM solutions gaining popularity.

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The on-pre

Reach highly responsive database of Licensed Professionals from our wide-ranging license types across all 50 states. These Licensed Professionals are from many different industries such as Financial, Healthcare, Skilled Trade Professions, Construction Trades and Personal Services. Any licensed professional you need, you can be sure to find them here.

Demographics include Age, Presence of Children, Children's Age, Income, Number of Adults in Household, Veteran Present in Household, Home- Presence of a Pool, Home Purchase Date, Square Footage of Home, Year Built, and many more.

Available for licensing, please inquire.

License Types include: Accountants
Acupuncturists
Aircraft Owners
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Architects
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Audiologists
Barbers
Certified Public Accountants
Chiropractors
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Clinical Lab Scientists
Clinical Lab Technicians
Contractors
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Counselor - Addiction
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Dentists
Doctors - Osteopath (DO)
Doctors - Physician (MD)
Drug Prescribers
EMT
Engineers
Engineers - Civil
Enrolled Agents
Esthetician - Salons
Estheticians
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Marriage & Family Therapists
Massage Therapists
Medical Counselors
Mental Health Counselors
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Licensed Practical Nurses
Nurse Anesthetists
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Veterinarian Hospitals
Veterinary Technicians

Abstract Introduction: Urgent-start peritoneal dialysis (US-PD) has been used worldwide with very positive results. The prior assessment of candidates for this therapy by a nurse can favor the success of the therapy. Objectives: To identify the profile of patients who are candidates for US-PD, the causes of contraindication of the method by the nurse and their permanence in the method after 30 days, as well as the growth of the service after implementing the program. Methods: We retrospectively analyzed the forms used to assess candidates for US-PD applied by nurses between May 2017 and August 2019 in a clinic in Santa Catarina. We analyzed information on demographic profile, reasons for contraindication and permanence in the method after 30 days, as well as service growth after the program was implemented. Results: Of the 215 patients indicated for US-PD, 51% were male, 55% were under 60 years old, 51% had diabetes mellitus and 89% were hypertensive. Of these, 173 (80%) patients had the nurse’s approval for PD. The only cause contraindicated was the inability to self-care associated with the lack of family support. In the first 30 days after the assessment, 89% of the patients who started PD remained on it. During the study period, the PD service grew by 91%. Conclusion: During the study period, a fifth of patients referred to US-PD received contraindication by nursing due to self-care inability associated with the lack of family support. After 30 days, 89% of the patients remained on it.