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.

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.

Nurse demographics.

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.

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.

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.

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.

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.

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;

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/].

Abstract There is an estimated deficit of six million nurses worldwide. Despite its importance for health systems, sociodemographic studies are scarce due to the absence of systematized data specific to nurses. The objective of this study was to compare the population coverage of nurses in Brazil based on sources from the Brazilian Institute of Geography and Statistics (IBGE), in the years 2010 and 2015, and the Federal Nursing Council (Cofen), in the years 2013 and 2019. In both sources, there was an average increase of 164 thousand nurses throughout Brazil. The growth rate for the period of the IBGE surveys (15.7% per year) was triple that recorded in the Cofen data (5.3% per year). Coverage in the states of Brazil remains below the international recommendation (40 nurses per 10 thousand inhabitants), with greater deficits in the states of the North and Northeast regions. The comparisons in this study reiterate the importance of the availability of standardized and systematized data for Nursing in Brazil. Accurate health indicators subsidize public policies to reduce health inequities, with emphasis on the coverage of nurses, especially in regions with high socioeconomic vulnerabilities.

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/].

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

Comparison of demographic and clinical characteristics of nurses and general population.

Nurse participant demographics (individual interviews).

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.

In the United States, the large majority of registered nurses are *****. From 2014 to 2017, only *** out of ten registered nurses were men. Although nursing remains predominately a female profession, the share of male registered nurses has slightly increased over the years.

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 CMS Program Statistics - Medicare Skilled Nursing Facility tables provide use and payment data for skilled nursing facilities. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR SNF 1. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR SNF 2. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR SNF 3. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR SNF 4. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement and Covered Days of Care MDCR SNF 5. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Facility and Bedsize MDCR SNF 6. Medicare Skilled Nursing Facilities: Distribution of Medicare Covered Skilled Nursing Facility Days, by State of Provider and Major Resource Utilization Groups (RUG)-III (versions 2013-2018 only)

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.