100+ datasets found
  1. Number of registered nurses in the U.S. 2001-2024

    • statista.com
    Updated Nov 24, 2025
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    Statista (2025). Number of registered nurses in the U.S. 2001-2024 [Dataset]. https://www.statista.com/statistics/185734/number-of-registered-nurses-in-the-us-since-2001/
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    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    There are currently around *** million registered nurses in the United States. Yet there are significant regional disparities, with California leading the pack in 2024. With over ******* registered nurses, the Golden State outpaces its closest competitors, Texas and Florida, by a considerable margin. This concentration of nursing professionals in populous states underscores the complex relationship between healthcare demand and population density. Diverse employment settings for nurses While the distribution of registered nurses varies widely across states, their employment settings also show interesting patterns. In 2023, hospitals remained the primary employer for registered nurses, accounting for nearly ********** of all nursing positions. Ambulatory healthcare services emerged as the second most common workplace, while educational services employed only a small fraction of the nursing workforce. This distribution highlights the critical role of nurses in various healthcare settings beyond traditional hospital environments. Specialized nursing roles across states The nursing profession encompasses various specialized roles, each with its own unique distribution across the country. For instance, nurse anesthetists showed significant variation in employment numbers, ranging from as few as ** to as many as ***** per state in 2024. Interestingly, Delaware led in nurse anesthetist employment, while Vermont and Alaska had the lowest numbers. Similarly, nurse midwives exhibited a wide range of employment figures, with California boasting the highest count and South Carolina the lowest.

  2. Number of registered nurses employed in the U.S. 2024, by state

    • statista.com
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    Statista, Number of registered nurses employed in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1222907/number-of-registered-nurses-in-the-united-states/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    United States
    Description

    In 2024, according to the Bureau of Labor Statistics, there were *** million registered nurses in the United States. With over *** thousand registered nurses, California had the highest number of registered nurses in the U.S., followed by Texas and Florida. On the other hand, Wyoming was the state with the least registered nurses in 2024.

  3. Nurse density worldwide 2022, by country

    • statista.com
    Updated May 21, 2025
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    Statista (2025). Nurse density worldwide 2022, by country [Dataset]. https://www.statista.com/statistics/283124/selected-countries-nurses-per-1-000-inhabitants/
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2022, Switzerland had the highest number of practicing nurses per capita, that is, for every 1,000 population there were 18 practicing nurses in Switzerland. This is followed by Norway and Iceland. This statistic portrays the number of practicing nurses in selected countries as of 2021, per 1,000 population.

  4. f

    Data from: Nurse demographics.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Apr 9, 2019
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    Schadewaldt, Verena; D’Este, Catherine; Gunaratne, Anoja; McElduff, Benjamin; Middleton, Sandy; Cadilhac, Dominique A.; Squires, Janet; McInnes, Elizabeth; Dale, Simeon (2019). Nurse demographics. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000183925
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    Dataset updated
    Apr 9, 2019
    Authors
    Schadewaldt, Verena; D’Este, Catherine; Gunaratne, Anoja; McElduff, Benjamin; Middleton, Sandy; Cadilhac, Dominique A.; Squires, Janet; McInnes, Elizabeth; Dale, Simeon
    Description

    Nurse demographics.

  5. f

    Japanese nurses’ socio-demographics (N = 394).

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jan 9, 2025
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    Sakamoto, Masako; Saw, Yu Mon; Iriyama, Shigemi (2025). Japanese nurses’ socio-demographics (N = 394). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001300598
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    Dataset updated
    Jan 9, 2025
    Authors
    Sakamoto, Masako; Saw, Yu Mon; Iriyama, Shigemi
    Description

    In recent years, Japan has experienced a significant increase in the number of foreign students and workers entering the country. This has resulted in a vast number of international patients in medical facilities. This shift emphasizes the immediate need for Japanese nurses who are both clinically proficient and culturally attuned. In response, our research developed and validated the Cross-cultural Competence Scale for Japanese Nurses (CCCSJN) to better equip nurses for diverse patient care. We conducted a cross-sectional study in Japan’s general hospitals using anonymous questionnaires with nurses and midwives. The scale, developed from data from 394 nurses, underwent both qualitative and quantitative evaluations to define its construct. We analyzed the data using exploratory factor analysis, criterion-related validity, internal consistency, and test-retest reliability, confirming the scale’s reliability and validity. The exploratory analysis revealed five factors: “cross-cultural understanding,” “cross-cultural communication ability,” “motivation for cross-cultural nursing,” “cooperation with multiple professions,” and “respect for foreign patients.” These factors explained 50.92% of the total variance. Cronbach’s α for the CCCSJN was 0.94, and the test-retest reliability correlation was 0.77. The construct validity, criterion-related validity, internal consistency, and test-retest reliability of the CCCSJN were verified. The CCCSJN can be used to assess the cross-cultural competencies of Japanese nurses and identify what skills need to be mastered, leading to improved cross-cultural competence and care.

  6. g

    The nursing profession: Demographic situation and occupational trajectories...

    • gimi9.com
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    The nursing profession: Demographic situation and occupational trajectories | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_536997b8a3a729239d204d7e
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    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    In this study, different data sources are mobilized to establish a demographic finding on nurses.- The Adeli directory (Automation of lists): it lists active health professionals, having a legal license to practice their profession. This register is the only exhaustive database of nurses practising in France, which is continuously updated. it also makes it possible to identify the nursing profession. It was enriched by INSEE on the 2006 data, the only data available at the time of this study, in order to distinguish employees in the public hospital from those in the private sector. it covers the entire field of active nurses practising and residing in metropolitan France. It surveys a relatively small number of nurses each year (2 700 in 2008).- The National Inter-Scheme Health Insurance Information System (SNIIR-AM) makes it possible to identify liberal nurses exhaustively.

  7. r

    Forecast: Population Per Nurses Graduates in Germany 2024 - 2028

    • reportlinker.com
    Updated Apr 5, 2024
    + more versions
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    ReportLinker (2024). Forecast: Population Per Nurses Graduates in Germany 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/7d5a939f2821b419ac92881685acb6511ca3a6b8
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    Dataset updated
    Apr 5, 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
    Germany
    Description

    Forecast: Population Per Nurses Graduates in Germany 2024 - 2028 Discover more data with ReportLinker!

  8. C

    Cameroon CM: Nurses and Midwives: per 1000 People

    • ceicdata.com
    Updated Mar 8, 2023
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    CEICdata.com (2023). Cameroon CM: Nurses and Midwives: per 1000 People [Dataset]. https://www.ceicdata.com/en/cameroon/social-health-statistics/cm-nurses-and-midwives-per-1000-people
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    Dataset updated
    Mar 8, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2004 - Dec 1, 2022
    Area covered
    Cameroon
    Description

    Cameroon CM: Nurses and Midwives: per 1000 People data was reported at 0.650 Ratio in 2022. This records an increase from the previous number of 0.193 Ratio for 2021. Cameroon CM: Nurses and Midwives: per 1000 People data is updated yearly, averaging 0.466 Ratio from Dec 2004 (Median) to 2022, with 10 observations. The data reached an all-time high of 1.549 Ratio in 2004 and a record low of 0.193 Ratio in 2021. Cameroon CM: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cameroon – Table CM.World Bank.WDI: Social: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].

  9. Nurse to population ratio Philippines 2024, by region

    • statista.com
    • abripper.com
    Updated Aug 8, 2025
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    Statista (2025). Nurse to population ratio Philippines 2024, by region [Dataset]. https://www.statista.com/statistics/1122083/philippines-number-of-nurses/
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Philippines
    Description

    In 2024, one public health nurse was serving ***** people in the Philippines. Across regions, Central Luzon registered the highest nurse-to-population ratio at *****. In contrast, there were ***** patients for every nurse in the MIMAROPA region.

  10. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Registered nurses occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254594700A
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    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: Men (LEU0254594700A) from 2000 to 2024 about registered nurses, nursing, occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

  11. f

    Socio-demographic characteristics of new nurses.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Aug 10, 2023
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    Wang, Junqiang; Chen, Lili; Yan, Xiaoting; Zheng, Lingzhi; Xia, Mengjie; Chen, Jiya; Zeng, Baojin (2023). Socio-demographic characteristics of new nurses. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000969764
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    Dataset updated
    Aug 10, 2023
    Authors
    Wang, Junqiang; Chen, Lili; Yan, Xiaoting; Zheng, Lingzhi; Xia, Mengjie; Chen, Jiya; Zeng, Baojin
    Description

    BackgroundThe development of core competency is crucial for the success of new nurses, enabling them to deliver high-quality care. Psychological capital (PsyCap), encompassing self-efficacy, optimism, hope, and resilience, significantly influences individuals’ abilities and achievements across various professions. However, limited research has specifically examined the impact of PsyCap on the core competency of new nurses. This study aims to bridge this gap by investigating the relationship between PsyCap and core competency development in new nurses, providing valuable strategic insights for improving PsyCap and promoting core competence acquisition.Methods142 new nurses were chosen for the investigation using a convenient cluster sampling method. The questionnaire included components on socio-demographic characteristics, the Competency Inventory for Registered Nurses (CIRN), and the PsyCap Questionnaire-24 (PCQ-24). The t-test, One-Way ANOVA, Pearson correlation analysis and hierarchical multiple regression were used for statistical analysis.ResultThe number of valid questionnaires was 138, and the effective return rate was 97.2%. The overall mean score for core competencies was 171.01 (SD 25.34), and the PsyCap score was 104.76(SD 13.71). The PsyCap of new nurses was highly correlated with core competency, with a correlation coefficient of r = 0.7, p < 0.01. Self-efficacy of PsyCap is a significant independent predictor of core competency (adjust R2 = 0.49).ConclusionSelf-efficacy in PsyCap is an important predictor of new nurses’ core competency. Nursing managers should pay sufficient attention to the cultivation and development of new nurses’ PsyCap, with particular emphasis on enhancing self-efficacy to improve their core competency.

  12. G

    Health Resources: Population-to-nurse Ratios, 1996

    • open.canada.ca
    • data.amerigeoss.org
    jp2, zip
    Updated Mar 14, 2022
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    Natural Resources Canada (2022). Health Resources: Population-to-nurse Ratios, 1996 [Dataset]. https://open.canada.ca/data/dataset/f0e64df0-8893-11e0-a064-6cf049291510
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    jp2, zipAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    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.

  13. L

    Lebanon LB: Nurses and Midwives: per 1000 People

    • ceicdata.com
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    CEICdata.com, Lebanon LB: Nurses and Midwives: per 1000 People [Dataset]. https://www.ceicdata.com/en/lebanon/health-statistics/lb-nurses-and-midwives-per-1000-people
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2001 - Dec 1, 2014
    Area covered
    Lebanon
    Description

    Lebanon LB: Nurses and Midwives: per 1000 People data was reported at 2.562 Ratio in 2014. This records an increase from the previous number of 2.523 Ratio for 2011. Lebanon LB: Nurses and Midwives: per 1000 People data is updated yearly, averaging 1.982 Ratio from Dec 2001 (Median) to 2014, with 7 observations. The data reached an all-time high of 2.562 Ratio in 2014 and a record low of 1.184 Ratio in 2005. Lebanon LB: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;

  14. F

    All Employees, Nursing and Residential Care Facilities

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
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    (2025). All Employees, Nursing and Residential Care Facilities [Dataset]. https://fred.stlouisfed.org/series/CEU6562300001
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    jsonAvailable download formats
    Dataset updated
    Nov 20, 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 (CEU6562300001) from Jan 1990 to Sep 2025 about nursing homes, nursing, health, establishment survey, education, residential, services, employment, and USA.

  15. G

    Germany DE: Nurses and Midwives: per 1000 People

    • ceicdata.com
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    CEICdata.com, Germany DE: Nurses and Midwives: per 1000 People [Dataset]. https://www.ceicdata.com/en/germany/social-health-statistics/de-nurses-and-midwives-per-1000-people
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Germany
    Description

    Germany DE: Nurses and Midwives: per 1000 People data was reported at 12.300 Ratio in 2021. This records a decrease from the previous number of 12.350 Ratio for 2020. Germany DE: Nurses and Midwives: per 1000 People data is updated yearly, averaging 10.225 Ratio from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 12.350 Ratio in 2020 and a record low of 8.853 Ratio in 2000. Germany DE: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].

  16. J

    Japan JP: Nurses and Midwives: per 1000 People

    • ceicdata.com
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    CEICdata.com, Japan JP: Nurses and Midwives: per 1000 People [Dataset]. https://www.ceicdata.com/en/japan/health-statistics/jp-nurses-and-midwives-per-1000-people
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 1994 - Dec 1, 2014
    Area covered
    Japan
    Description

    Japan JP: Nurses and Midwives: per 1000 People data was reported at 11.241 Ratio in 2014. This records an increase from the previous number of 10.797 Ratio for 2012. Japan JP: Nurses and Midwives: per 1000 People data is updated yearly, averaging 9.369 Ratio from Dec 1990 (Median) to 2014, with 14 observations. The data reached an all-time high of 11.753 Ratio in 2011 and a record low of 6.491 Ratio in 1990. Japan JP: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;

  17. Race distribution of registered nurses in the US 2022

    • statista.com
    Updated May 4, 2021
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    Statista (2021). Race distribution of registered nurses in the US 2022 [Dataset]. https://www.statista.com/statistics/1227178/distribution-of-registered-nurses-in-the-us-by-race-and-ethnicity/
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    Dataset updated
    May 4, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, registered nurses in the United States were predominantly white, accounting for over ** percent of all registered nurses. According to the U.S. census, however, roughly ** percent of the U.S. population are white.

  18. f

    Data from: Marginal effects.

    • figshare.com
    xls
    Updated Apr 18, 2024
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    Gavin David Brown; Caroline McMullan; Ann Largey; David Leon (2024). Marginal effects. [Dataset]. http://doi.org/10.1371/journal.pone.0300536.t008
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    xlsAvailable download formats
    Dataset updated
    Apr 18, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Gavin David Brown; Caroline McMullan; Ann Largey; David Leon
    License

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

    Description

    Nurses’ household preparedness is critical if they are to avoid role conflict and report for duty during an emergency. To date, the alignment between nurses’ perceived and actual household preparedness remains under examined. Investigating one of these variables in isolation fails to consider that perceived and actual household preparedness must be high and aligned. If misaligned, vulnerabilities could surface during emergencies, like concerns about family safety, potentially impacting a nurse’s commitment to duty during a crisis, or nurses may lack the actual preparedness to continue working long hours during an emergency. An online questionnaire was distributed to registered nurses in Ireland. The questionnaire was informed by a review of the literature and captured nurses’ perceived and actual household preparedness, attitudes towards and exposure to a range of emergencies, and pertinent demographic characteristics. The results showed a relationship between how nurses view their household preparedness and their actual preparedness. Regression analyses indicate that while there is an overlap, the factors associated with how prepared nurses think they are and how prepared they are can differ. This means that strategies to boost actual preparedness may differ from those needed to boost perceived preparedness. This finding underscores the importance of psychosocial preparedness. Feeling prepared is crucial as it can influence how one responds in an emergency. Considering both the perceived and actual aspects of household preparedness can lead to a more effective response during emergencies.

  19. M

    Per Diem Nurse Staffing Market Boosted by Leading Recruitment Firms

    • media.market.us
    Updated Oct 16, 2025
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    Market.us Media (2025). Per Diem Nurse Staffing Market Boosted by Leading Recruitment Firms [Dataset]. https://media.market.us/per-diem-nurse-staffing-market-news-2025/
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    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    Market.us Media
    License

    https://media.market.us/privacy-policyhttps://media.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Description

    Overview

    The Per Diem Nurse Staffing Market is projected to reach approximately USD 16.4 billion by 2033, growing from USD 8.7 billion in 2023 at a CAGR of 6.5% between 2024 and 2033. The growth is driven by the persistent global shortage of nurses and the need for flexible workforce management. According to the World Health Organization (WHO), the global nursing workforce reached 29.8 million in 2023, yet a deficit of about 4.5 million nurses is projected by 2030. These shortages lead to unstable shift coverage and create opportunities for per-diem staffing solutions across hospitals and healthcare facilities.

    Demographic ageing remains a long-term market driver. The United Nations projects that one in six people will be over 65 years old by 2050, while WHO indicates that the global population aged 60 and above will nearly double between 2015 and 2050. Older populations require more inpatient and long-term care, increasing daily fluctuations in patient volumes. These variations heighten the need for short-notice staffing, where per-diem nurses provide rapid and cost-effective coverage. As health systems adapt to ageing demographics, per-diem staffing ensures continuity of care amid unpredictable demand surges.

    Government regulations and staffing mandates are further supporting demand. The Centers for Medicare & Medicaid Services (CMS) in the United States established minimum staffing standards for long-term care in 2024. Such regulations require consistent nurse-to-patient ratios, even during peak demand, compelling providers to maintain per-diem pools. Similar regulations in states like California also reinforce the use of flexible staffing models to ensure compliance. In other regions, tighter quality oversight in skilled nursing facilities is prompting administrators to use per-diem nurses to meet staffing adequacy requirements.

    Financial pressures are influencing providers to reduce reliance on expensive external agencies and invest in internal per-diem pools. NHS England has reported declines in agency spending due to stricter rules and price caps while maintaining high levels of internal bank staff usage. This transition enables cost control while ensuring service continuity. Additionally, persistent retention challenges, nurse burnout, and high turnover rates continue to fuel temporary staffing requirements. Per-diem nurses serve as a strategic buffer against absenteeism and ongoing recruitment shortages across global healthcare systems.

    The U.S. Bureau of Labor Statistics forecasts about 189,100 registered-nurse openings annually between 2024 and 2034, reinforcing structural replacement needs. Growing oversight of staffing quality and the rise of care delivery in post-acute settings further enhance the adoption of flexible workforce models. The market’s sustained expansion reflects its crucial role in maintaining service reliability, regulatory compliance, and cost efficiency. Overall, demographic shifts, labor shortages, and policy reforms are expected to anchor steady growth in the global per-diem nurse staffing industry through 2033.

    https://market.us/wp-content/uploads/2022/07/Per-Diem-Nurse-Staffing-Market-Growth.jpg" alt="Per Diem Nurse Staffing Market Growth" class="wp-image-111752">

  20. r

    Forecast: Population Per Nurses Graduates in the UK 2024 - 2028

    • reportlinker.com
    Updated Apr 11, 2024
    + more versions
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    ReportLinker (2024). Forecast: Population Per Nurses Graduates in the UK 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/96f079b39d03c9d7ca0de00def8c3738eef1f8e9
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    Dataset updated
    Apr 11, 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 Kingdom
    Description

    Forecast: Population Per Nurses Graduates in the UK 2024 - 2028 Discover more data with ReportLinker!

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Statista (2025). Number of registered nurses in the U.S. 2001-2024 [Dataset]. https://www.statista.com/statistics/185734/number-of-registered-nurses-in-the-us-since-2001/
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Number of registered nurses in the U.S. 2001-2024

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

There are currently around *** million registered nurses in the United States. Yet there are significant regional disparities, with California leading the pack in 2024. With over ******* registered nurses, the Golden State outpaces its closest competitors, Texas and Florida, by a considerable margin. This concentration of nursing professionals in populous states underscores the complex relationship between healthcare demand and population density. Diverse employment settings for nurses While the distribution of registered nurses varies widely across states, their employment settings also show interesting patterns. In 2023, hospitals remained the primary employer for registered nurses, accounting for nearly ********** of all nursing positions. Ambulatory healthcare services emerged as the second most common workplace, while educational services employed only a small fraction of the nursing workforce. This distribution highlights the critical role of nurses in various healthcare settings beyond traditional hospital environments. Specialized nursing roles across states The nursing profession encompasses various specialized roles, each with its own unique distribution across the country. For instance, nurse anesthetists showed significant variation in employment numbers, ranging from as few as ** to as many as ***** per state in 2024. Interestingly, Delaware led in nurse anesthetist employment, while Vermont and Alaska had the lowest numbers. Similarly, nurse midwives exhibited a wide range of employment figures, with California boasting the highest count and South Carolina the lowest.

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