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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,458 datasets
Worldwide Bureaucracy Indicators data compares public and private sector wages in the health industry. The dataset likely contains metrics for calculating the wage premium or gap. It is published by the World Bank.
Worldwide Bureaucracy Indicators data on the wage premium for public sector workers in the health industry relative to formal private sector employees. The dataset is published by the World Bank and likely contains comparative metrics for various countries and time periods. Its specific temporal and geographic coverage, as well as the number of observations, are not detailed in the available metadata.
Worldwide Bureaucracy Indicators data on the public sector wage premium for female workers in medical occupations compared to paid wage employees. The dataset is published by the World Bank, but specific temporal and geographic coverage are unknown. Columns likely contain occupation classifications, gender indicators, and wage premium metrics.
Worldwide Bureaucracy Indicators data on the wage premium for female employees in the public health sector compared to the private sector. The dataset likely contains comparative wage metrics by industry, focusing on health. It is published by the World Bank.
Pay compression ratios compare the wages of hospital nurses to clerical staff within the public sector. The dataset is published by the World Bank's Worldwide Bureaucracy Indicators. The specific temporal and geographic coverage is not detailed in the provided metadata.
Worldwide Bureaucracy Indicators data on pay compression ratios in the public sector, comparing hospital doctors to clerks. The dataset likely contains calculated wage ratios to measure internal salary equity. It is published by the World Bank.
Employment data from the Worldwide Bureaucracy Indicators, published on the World Bank platform. The dataset likely contains counts of paid employees categorized by specific medical and healthcare occupations. The temporal coverage and geographic scope are not specified in the available metadata.
World Bank data on the number of paid employees within the health sector. The dataset is part of the Worldwide Bureaucracy Indicators collection, suggesting a focus on formal workforce metrics. Its specific temporal and geographic coverage requires verification after download.
Worldwide Bureaucracy Indicators compiled this dataset on the proportion of public sector medical employees residing in rural areas. The data likely contains tabular statistics comparing rural and urban workforce participation within specific medical occupations. It is published on the World Bank platform.
Worldwide Bureaucracy Indicators data on the proportion of public paid employees who are rural residents, specifically within the health industry. The dataset is published by the World Bank and likely contains tabular data for cross-country or regional analysis. Its specific temporal and geographic coverage requires verification after download.
Worldwide Bureaucracy Indicators data on the number of public paid employees in medical occupations. The dataset is published by the World Bank. The temporal coverage and specific country scope are not detailed in the provided metadata.
Worldwide Bureaucracy Indicators data tracks the number of public paid employees specifically within the health industry. The dataset is published by the World Bank, providing a structured view of government employment in the healthcare sector. Its exact temporal and geographic coverage is unspecified in the available metadata.
Worldwide Bureaucracy Indicators data on the proportion of females in public sector medical occupations. The dataset is published by the World Bank, focusing on gender composition within healthcare roles. Specific temporal and geographic coverage is not detailed in the provided metadata.
Worldwide Bureaucracy Indicators data on the proportion of public sector employees covered by health insurance. The dataset is published by the World Bank. Its specific temporal and geographic coverage requires verification after download.
World Bank data from the Worldwide Bureaucracy Indicators on the proportion of female employees in public health sector roles. The dataset likely contains time-series figures for various industries, focusing on gender representation in government-funded health services. Its structure suggests it is designed for cross-country and temporal analysis of public sector workforce composition.
World Bank data from the Worldwide Bureaucracy Indicators on the proportion of private sector employees with health insurance coverage. The dataset likely contains country-level statistics on social protection and labor market conditions. Its specific temporal coverage, granularity, and update frequency are not detailed in the provided metadata.
Cross-country public sector pay comparison data for the occupation of hospital nurse, using mean values. The dataset is published by the World Bank and sourced from the Worldwide Bureaucracy Indicators. The specific temporal coverage, number of countries, and update frequency are not provided in the available metadata.
Worldwide Bureaucracy Indicators provides a cross-country comparison of public sector pay ratios for hospital nurses, using median wages. The dataset is published by the World Bank and likely contains country-level data points for this specific occupation. Its structure suggests a focus on wage differentials between the public sector and other sectors or national averages.
A dataset from the Worldwide Bureaucracy Indicators provides cross-country comparisons of public sector pay ratios for the occupation of hospital doctor, using mean earnings. The data is published on the World Bank platform. The specific temporal coverage, number of countries, and exact calculation methodology are not detailed in the provided metadata.
Published by the Worldwide Bureaucracy Indicators, this dataset compares public sector pay ratios for hospital doctors across different countries. The comparison is based on median earnings, allowing for standardized occupational analysis. The specific time range, number of countries, and exact data collection methodology are not detailed in the provided metadata.