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.

The National Sample Survey of Registered Nurses (NSSRN) Download makes data from the survey readily available to users in a one-stop download. The Survey has been conducted approximately every four years since 1977. For each survey year, HRSA has prepared two Public Use File databases in flat ASCII file format without delimiters. The 2008 data are also offerred in SAS and SPSS formats. Information likely to point to an individual in a sparsely-populated county has been withheld. General Public Use Files are State-based and provide information on nurses without identifying the County and Metropolitan Area in which they live or work. County Public Use Files provide most, but not all, the same information on the nurse from the General Public Use File, and also identifies the County and Metropolitan Areas in which the nurses live or work. NSSRN data are to be used for research purposes only and may not be used in any manner to identify individual respondents.

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.

Global U.S. registered nurses market is expected to generate revenue of around USD 987.46 Billion by 2034, growing at a CAGR of around 5.85% between 2025 and 2034.

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, earnings, workers, 16 years +, wages, median, employment, and USA.

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.

This dataset contains two process-based (prior) radon (²²²Rn) flux maps and six inversion-based (posterior) ²²²Rn flux estimates for central Europe in 2021.

The process-based flux maps are created using the ²²²Rn flux model from Karstens et al. (2015) and high-resolution (1 km x 1 km) soil moisture data from the German Weather Service (DWD) for Germany, as well as coarser-resolution (0.25° x 0.25°) GLDAS-Noah soil moisture data for the rest of Europe. The two process-based maps differ in how the soil moisture data has been averaged vertically over the soil column (0-10 cm vs. 0-40 cm). The flux maps have a daily resolution and have been re-gridded to a horizontal resolution of 0.05° x 0.05°.

The posterior ²²²Rn flux estimates are the results of a one-year ²²²Rn inversion performed using the CarboScope-Regional (CSR) inversion system. Hourly ²²²Rn observations from 17 atmospheric sites in central Europe have been used to constrain the prior fluxes. The robustness of the inversion flux results has been investigated using different prior fluxes and transport models. The prior fluxes are based on the ²²²Rn flux model from Karstens et al. (2015), and different soil moisture products (all of these are averaged over the top 0-40 cm of the soil column): GLDAS-Noah (²²²Rn map from Karstens and Levin et al., 2022a; available at: https://hdl.handle.net/11676/JoDR653JxQuqLvEwzqI2kdMw), ERA5-Land (²²²Rn map from Karstens and Levin et al., 2022b; available at: https://hdl.handle.net/11676/NvC7D-BVXlnHtFBdUSKpNVHT), DWD/GLDAS (²²²Rn map available in this dataset). Furthermore, a spatially and temporally uniform (flat) prior has been used. The different transport models are STILT, FLEXPART and NAME. Please note that the posterior ²²²Rn flux maps are only reliable within central Europe, which is well covered by atmospheric ²²²Rn observations (see Maier et al., 2025).

This dataset belongs to the publication of Maier et al., 2025, where further details can be found:

Maier, F., Falge, E., Gachkivskyi, M., Henne, S., Karstens, U., Kikaj, D., Levin, I., Manning, A., Rödenbeck, C., and Gerbig, C.: How reliable are process-based ²²²radon emission maps? Results from an atmospheric ²²²radon inversion in Europe, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-477, 2025.