28 datasets found
  1. Hospital bed density in the U.S. in 2022, by state

    • statista.com
    Updated Jul 18, 2024
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    Hospital bed density in the U.S. in 2022, by state [Dataset]. https://www.statista.com/statistics/1474768/hospital-bed-density-in-the-us-by-state/
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    Dataset updated
    Jul 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, there were, on average, 2.35 hospital beds per 1,000 population in the United States. Hospital bed density varied widely between the states, with South Dakota having 4.61 beds per thousand population, while there were just 1.6 hospital beds per thousand population available in Washington.

  2. Hospital bed density by country 2021

    • statista.com
    Updated Mar 6, 2025
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    Statista (2025). Hospital bed density by country 2021 [Dataset]. https://www.statista.com/statistics/283273/oecd-countries-hospital-bed-density/
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    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The countries with the highest density of hospital beds worldwide include Korea, Japan, Russia, and Germany. Japan has around 12.6 hospital beds per 1,000 population. On the other hand, the United States reported just 2.8 hospital beds per 1,000 population.

    Hospital beds in the U.S.

    Both the number of hospitals and the number of hospital beds in the U.S. have decreased in recent years. In 2022, there were an estimated 917 thousand hospital beds in the U.S. The largest proportion of hospitals in the U.S. have 500 or more beds, while the second largest proportion of hospitals had between 100 and 199 beds.

    Hospital stays in the U.S.

    Despite decreasing hospital bed density since 1975, the number of hospital admissions in the U.S. has increased since then, but has dropped since the COVID pandemic. The number of hospital admission per capita differed from state to state with rates highest in the District of Columbia.

  3. Community hospital beds per 1,000 U.S. population 2022

    • statista.com
    Updated Jun 20, 2024
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    Statista (2024). Community hospital beds per 1,000 U.S. population 2022 [Dataset]. https://www.statista.com/statistics/184546/community-hospital-beds-per-1000-population-in-the-us/
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    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, community hospitals in the United States had an average of 2.4 beds per 1,000 persons. The share of community hospital beds ranged from 1.6 to five beds per 1,000 persons across the country. The number of community hospital beds per 1,000 population in the United States decreased slightly from 2000 to 2022.

  4. G

    Hospital beds per 1,000 people by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Sep 10, 2022
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    Globalen LLC (2022). Hospital beds per 1,000 people by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/hospital_beds_per_1000_people/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Sep 10, 2022
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2021
    Area covered
    World
    Description

    The average for 2020 based on 36 countries was 4.44 hospital beds. The highest value was in South Korea: 12.65 hospital beds and the lowest value was in Mexico: 0.99 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

  5. Forecast: Density of Physicians Employed in Hospitals in the US 2022 - 2026

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Density of Physicians Employed in Hospitals in the US 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/68456a646144db1f7c1d091ea313fb7200cce2b6
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    Dataset updated
    Apr 7, 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 States
    Description

    Forecast: Density of Physicians Employed in Hospitals in the US 2022 - 2026 Discover more data with ReportLinker!

  6. US Covid 19 Risk Assessment Data

    • kaggle.com
    Updated Apr 2, 2020
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    James Tourkistas (2020). US Covid 19 Risk Assessment Data [Dataset]. https://www.kaggle.com/datasets/jtourkis/covid19-us-major-city-density-data/versions/3
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 2, 2020
    Dataset provided by
    Kaggle
    Authors
    James Tourkistas
    Area covered
    United States
    Description

    Context

    Dataset aims to facilitate a state by state comparison of potential risk factors that may heighten Covid 19 transmission rates or deaths. It includes state by state estimates of: covid 19 positives/deaths, flu/pneumonia deaths, major city population densities, available hospital resources, high risk health condition prevalance, population over 60, and means of work transportation rates.

    Content

    The Data Includes:

    1) Covid 19 Outcome Stats:

    Covid_Death : Covid Deaths by State

    Covid_Positive : Covid Positive Tests by State

    2) US Major City Population Density by State: CBSA_Major_City_max_weighted_density

    3) KFF Estimates of Total Hospital Beds by State:

    Kaiser_Total_Hospital_Beds

    4) 2018 Season Flu and Pneumonia Death Stats:

    FLUVIEW_TOTAL_PNEUMONIA_DEATHS_Season_2018

    FLUVIEW_TOTAL_INFLUENZA_DEATHS_Season_2018

    5)US Total Rates of Flu Hospitalization by Underlying Condition:

    Fluview_US_FLU_Hospitalization_Rate_....

    6) State by State BRFSS Prevalance Rates of Conditions Associated with Higher Flu Hospitalization Rates

    BRFSS_Diabetes_Prevalance BRFSS_Asthma_Prevalance BRFSS_COPD_Prevalance
    BRFSS_Obesity BMI Prevalance BRFSS_Other_Cancer_Prevalance BRFSS_Kidney_Disease_Prevalance BRFSS_Obesity BMI Prevalance BRFSS_2017_High_Cholestoral_Prevalance BRFSS_2017_High_Blood_Pressure_Prevalance Census_Population_Over_60

    7)State by state breakdown of Means of Work Transpotation:

    COMMUTE_Census_Worker_Public_Transportation_Rate

    Acknowledgements

    Links to data sources:

    https://worldpopulationreview.com/states/

    https://covidtracking.com/data/

    https://gis.cdc.gov/GRASP/Fluview/FluHospRates.html https://www.kff.org/health-costs/issue-brief/state-data-and-policy-actions-to-address-coronavirus/#stateleveldata

    https://data.census.gov/cedsci/table?q=United%20States&tid=ACSDP1Y2018.DP05&hidePreview=true&vintage=2018&layer=VT_2018_040_00_PY_D1&cid=S0103_C01_001E

    Tables: ACSST1Y2018.S1811 ACSST1Y2018.S0102

    https://www.census.gov/library/visualizations/2012/dec/c2010sr-01-density.html

    https://gis.cdc.gov/grasp/fluview/mortality.html

    Inspiration

    I hope to show the existence of correlations that warrant a deeper county by county analysis to identify areas of increased risk requiring increased resource allocation or increased attention to preventative measures.

  7. Forecast: Density of Physicians Employed in Hospitals in the US 2024 - 2028

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Density of Physicians Employed in Hospitals in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/396508409cb2c0f2db8abd0bc7cdae20530d39c7
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    Dataset updated
    Apr 7, 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 States
    Description

    Forecast: Density of Physicians Employed in Hospitals in the US 2024 - 2028 Discover more data with ReportLinker!

  8. o

    National Neighborhood Data Archive (NaNDA): Hospitals by Census Tract and...

    • openicpsr.org
    Updated Mar 14, 2025
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    Longrong Pan; Robert Melendez; Philippa Clarke; Grace Noppert; Lindsay Gypin (2025). National Neighborhood Data Archive (NaNDA): Hospitals by Census Tract and ZCTA, 2023 [Dataset]. http://doi.org/10.3886/E222901V1
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    Dataset updated
    Mar 14, 2025
    Dataset provided by
    University of Michigan Institute for Social Research
    Authors
    Longrong Pan; Robert Melendez; Philippa Clarke; Grace Noppert; Lindsay Gypin
    License

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

    Time period covered
    2023
    Area covered
    United States
    Description

    This dataset contains measures of the number and density of hospitals per United States Census Tract or ZIP Code Tabulation Area (ZCTA) in 2023. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include:Census Tract 2010Census Tract 2020ZIP Code Tabulation Area (ZCTA) 2010ZIP Code Tabulation Area (ZCTA) 2020Information about which dataset to use can be found in the Usage Notes section of the user guide.

  9. Forecast: In Hospitals Magnetic Resonance Imaging Exams Density in the US...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: In Hospitals Magnetic Resonance Imaging Exams Density in the US 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/c359cd4bffbadec39533c8632c1a708ece534a1d
    Explore at:
    Dataset updated
    Apr 8, 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 States
    Description

    Forecast: In Hospitals Magnetic Resonance Imaging Exams Density in the US 2022 - 2026 Discover more data with ReportLinker!

  10. Forecast: Density of Professional Nurses and Midwives Employed in Hospitals...

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Density of Professional Nurses and Midwives Employed in Hospitals in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/9282061072b8ef66c02c6746f7b44fbe5eaf07ec
    Explore at:
    Dataset updated
    Apr 7, 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 States
    Description

    Forecast: Density of Professional Nurses and Midwives Employed in Hospitals in the US 2024 - 2028 Discover more data with ReportLinker!

  11. Forecast: Density of Professional Nurses and Midwives Employed in Hospitals...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Density of Professional Nurses and Midwives Employed in Hospitals in the US 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/afbfa8b197d6596618022186768ded5c31593ba0
    Explore at:
    Dataset updated
    Apr 8, 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 States
    Description

    Forecast: Density of Professional Nurses and Midwives Employed in Hospitals in the US 2022 - 2026 Discover more data with ReportLinker!

  12. Forecast: Density of Associate Nurses Employed in Hospitals in the US 2023 -...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Density of Associate Nurses Employed in Hospitals in the US 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/1374f6b04e5d9cc7a0221edf225612ff2fe4eef1
    Explore at:
    Dataset updated
    Apr 8, 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 States
    Description

    Forecast: Density of Associate Nurses Employed in Hospitals in the US 2023 - 2027 Discover more data with ReportLinker!

  13. Forecast: Density of Associate Nurses Employed in Hospitals in the US 2024 -...

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Density of Associate Nurses Employed in Hospitals in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/3224f182f3a415f5b4f2e10a2ab6176267bf122e
    Explore at:
    Dataset updated
    Apr 7, 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 States
    Description

    Forecast: Density of Associate Nurses Employed in Hospitals in the US 2024 - 2028 Discover more data with ReportLinker!

  14. Medical Service Study Areas

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    Updated Dec 6, 2024
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    Department of Health Care Access and Information (2024). Medical Service Study Areas [Dataset]. https://data.chhs.ca.gov/dataset/medical-service-study-areas
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    zip, arcgis geoservices rest api, csv, kml, geojson, htmlAvailable download formats
    Dataset updated
    Dec 6, 2024
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description
    This is the current Medical Service Study Area. California Medical Service Study Areas are created by the California Department of Health Care Access and Information (HCAI).

    Check the Data Dictionary for field descriptions.


    Checkout the California Healthcare Atlas for more Medical Service Study Area information.

    This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.


    <a href="https://hcai.ca.gov/">https://hcai.ca.gov/</a>

    Source of update: American Community Survey 5-year 2006-2010 data for poverty. For source tables refer to InfoUSA update procedural documentation. The 2010 MSSA Detail layer was developed to update fields affected by population change. The American Community Survey 5-year 2006-2010 population data pertaining to total, in households, race, ethnicity, age, and poverty was used in the update. The 2010 MSSA Census Tract Detail map layer was developed to support geographic information systems (GIS) applications, representing 2010 census tract geography that is the foundation of 2010 medical service study area (MSSA) boundaries. ***This version is the finalized MSSA reconfiguration boundaries based on the US Census Bureau 2010 Census. In 1976 Garamendi Rural Health Services Act, required the development of a geographic framework for determining which parts of the state were rural and which were urban, and for determining which parts of counties and cities had adequate health care resources and which were "medically underserved". Thus, sub-city and sub-county geographic units called "medical service study areas [MSSAs]" were developed, using combinations of census-defined geographic units, established following General Rules promulgated by a statutory commission. After each subsequent census the MSSAs were revised. In the scheduled revisions that followed the 1990 census, community meetings of stakeholders (including county officials, and representatives of hospitals and community health centers) were held in larger metropolitan areas. The meetings were designed to develop consensus as how to draw the sub-city units so as to best display health care disparities. The importance of involving stakeholders was heightened in 1992 when the United States Department of Health and Human Services' Health and Resources Administration entered a formal agreement to recognize the state-determined MSSAs as "rational service areas" for federal recognition of "health professional shortage areas" and "medically underserved areas". After the 2000 census, two innovations transformed the process, and set the stage for GIS to emerge as a major factor in health care resource planning in California. First, the Office of Statewide Health Planning and Development [OSHPD], which organizes the community stakeholder meetings and provides the staff to administer the MSSAs, entered into an Enterprise GIS contract. Second, OSHPD authorized at least one community meeting to be held in each of the 58 counties, a significant number of which were wholly rural or frontier counties. For populous Los Angeles County, 11 community meetings were held. As a result, health resource data in California are collected and organized by 541 geographic units. The boundaries of these units were established by community healthcare experts, with the objective of maximizing their usefulness for needs assessment purposes. The most dramatic consequence was introducing a data simultaneously displayed in a GIS format. A two-person team, incorporating healthcare policy and GIS expertise, conducted the series of meetings, and supervised the development of the 2000-census configuration of the MSSAs.

    MSSA Configuration Guidelines (General Rules):- Each MSSA is composed of one or more complete census tracts.- As a general rule, MSSAs are deemed to be "rational service areas [RSAs]" for purposes of designating health professional shortage areas [HPSAs], medically underserved areas [MUAs] or medically underserved populations [MUPs].- MSSAs will not cross county lines.- To the extent practicable, all census-defined places within the MSSA are within 30 minutes travel time to the largest population center within the MSSA, except in those circumstances where meeting this criterion would require splitting a census tract.- To the extent practicable, areas that, standing alone, would meet both the definition of an MSSA and a Rural MSSA, should not be a part of an Urban MSSA.- Any Urban MSSA whose population exceeds 200,000 shall be divided into two or more Urban MSSA Subdivisions.- Urban MSSA Subdivisions should be within a population range of 75,000 to 125,000, but may not be smaller than five square miles in area. If removing any census tract on the perimeter of the Urban MSSA Subdivision would cause the area to fall below five square miles in area, then the population of the Urban MSSA may exceed 125,000. - To the extent practicable, Urban MSSA Subdivisions should reflect recognized community and neighborhood boundaries and take into account such demographic information as income level and ethnicity. Rural Definitions: A rural MSSA is an MSSA adopted by the Commission, which has a population density of less than 250 persons per square mile, and which has no census defined place within the area with a population in excess of 50,000. Only the population that is located within the MSSA is counted in determining the population of the census defined place. A frontier MSSA is a rural MSSA adopted by the Commission which has a population density of less than 11 persons per square mile. Any MSSA which is not a rural or frontier MSSA is an urban MSSA. Last updated December 6th 2024.
  15. Forecast: Density of Generalist Medical Practitioners in the US 2024 - 2028

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Density of Generalist Medical Practitioners in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/51f7b46f2679a506d237c2268f3f10fa616a45b9
    Explore at:
    Dataset updated
    Apr 8, 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 States
    Description

    Forecast: Density of Generalist Medical Practitioners in the US 2024 - 2028 Discover more data with ReportLinker!

  16. a

    Medical Service Study Areas 2010

    • hub.arcgis.com
    Updated Dec 3, 2015
    + more versions
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    California Dept of Public Health Geospatial Resources (2015). Medical Service Study Areas 2010 [Dataset]. https://hub.arcgis.com/maps/fe411f2d74494b89a74ab181b22fc8a1
    Explore at:
    Dataset updated
    Dec 3, 2015
    Dataset authored and provided by
    California Dept of Public Health Geospatial Resources
    Area covered
    Description

    Medical Service Study Areas - Census Detail, 2010California Health & Human Services Agency Open Data Portal DescriptionMedical Service Study Areas (MSSAs) are sub-city and sub-county geographical units used to organize and display population, demographic and physician data. MSSAs were developed in 1976 by the California Healthcare Workforce Policy Commission (formerly California Health Manpower Policy Commission) to respond to legislative mandates requiring it to determine "areas of unmet priority need for primary care family physicians" (Song-Brown Act of 1973) and "geographical rural areas where unmet priority need for medical services exist" (Garamendi Rural Health Services Act of 1976).MSSAs are recognized by the U.S. Health Resources and Services Administration, Bureau of Health Professions' Office of Shortage Designation as rational service areas for purposes of designating Health Professional Shortage Areas (HPSAs), and Medically Underserved Areas and Medically Underserved Populations (MUAs/MUPs).The MSSAs incorporate the U.S. Census total population, socioeconomic and demographic data and are updated with each decadal census. Office of Statewide Health Planning and Development provides updated data for each County's MSSAs to the County and Communities, and will schedule meetings for areas of significant population change. Community meetings will be scheduled throughout the State as needed.Adopted by the California Healthcare Workforce Policy Commission on May 15, 2002.Each MSSA is composed of one or more complete census tracts. MSSAs will not cross county lines. All population centers within the MSSA are within 30 minutes travel time to the largest population center.Urban MSSA - Population range 75,000 to 125,000. Reflect recognized community and neighborhood boundaries. Similar demographic and socio-economic characteristics.Rural MSSA - Population density of less than 250 persons per square mile. No population center exceeds 50,000.Frontier MSSA - Population density of less than 11 persons per square mile.

  17. Forecast: Density of Specialist Medical Practitioners in the US 2022 - 2026

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Density of Specialist Medical Practitioners in the US 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/9c4c78c252255bdbc0d55f4cd4979800c9c60876
    Explore at:
    Dataset updated
    Apr 7, 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 States
    Description

    Forecast: Density of Specialist Medical Practitioners in the US 2022 - 2026 Discover more data with ReportLinker!

  18. Womens Health Diagnostics Market Analysis North America, Europe, Asia, Rest...

    • technavio.com
    Updated Jul 15, 2024
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    Womens Health Diagnostics Market Analysis North America, Europe, Asia, Rest of World (ROW) - US, China, France, Canada, UK - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/womens-health-diagnostics-market-analysis
    Explore at:
    Dataset updated
    Jul 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    France, Europe, China, United Kingdom, Canada, United States, Global
    Description

    Snapshot img

    Womens Health Diagnostics Market Size 2024-2028

    The womens health diagnostics market size is forecast to increase by USD 14.61 billion at a CAGR of 8.09% between 2023 and 2028.

    The women's health diagnostics market is experiencing significant growth due to several key factors. The increasing prevalence of breast cancer worldwide is driving market demand, as early and accurate medical diagnostics is crucial for effective treatment. 
    Another trend is the global adoption of advanced diagnostic solutions, which offer improved accuracy and efficiency compared to traditional methods. Stringent regulatory bodies are also guiding manufacturers of in-vitro diagnostics to ensure product safety and quality, further boosting market growth. These factors are expected to continue shaping the women's health diagnostics market In the coming years.
    

    What will be the Size of the Womens Health Diagnostics Market During the Forecast Period?

    Request Free Sample

    The Women's Health Diagnostics Market encompasses a range of medical diagnostic devices and techniques aimed at detecting various conditions unique to women. Key diseases include breast, ovarian, and cervical cancers, as well as infectious diseases such as hepatitis and urinary tract infections. Diagnostic methods span imaging techniques like Breast MRI and ultrasound, bone density testing for osteoporosis, and breast cancer biopsy devices for cancer diagnosis. 
    The geriatric female population is a significant market driver, given the increased prevalence of chronic conditions like cancer and osteoporosis. Medical science continues to advance, leading to the development of more sophisticated diagnostic tools and tests for pregnancy and menopause.
    The market also caters to infectious diseases, with a growing focus on HIV/AIDS and other sexually transmitted infections. Overall, the Women's Health Diagnostics market is a vital sector in healthcare, providing essential tools for early detection and effective treatment of various conditions.
    

    How is this Womens Health Diagnostics Industry segmented and which is the largest segment?

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

    Application
    
      Breast cancer testing
      Infectious disease testing
      STD testing
      Cervical cancer testing
      Others
    
    
    End-user
    
      Hospitals and clinics
      Diagnostic and imaging centers
      Home care settings
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        UK
        France
    
    
      Asia
    
        China
    
    
      Rest of World (ROW)
    

    By Application Insights

    The breast cancer testing segment is estimated to witness significant growth during the forecast period.
    

    Women's health diagnostics encompass various medical tests and devices used to identify and manage conditions such as breast cancer, ovarian cancer, cervical cancer, menopause, pregnancy, and chronic conditions like osteoporosis and infectious diseases. Breast cancer diagnosis primarily relies on biopsy procedures, where a specialized needle and imaging techniques, such as mammography or ultrasound, guide the doctor to extract tissue samples for laboratory analysis. Biopsy devices, ultrasound devices, mammography systems, and diagnostic tests are essential medical diagnostics tools. The geriatric female population, hospitals and clinics, diagnostic centers, and home care settings utilize these devices. Diagnostic tests for breast cancer, cervical cancer, ovarian cancer, prenatal genetic screening, and infectious diseases like hepatitis, urinary tract infection, and HIV/AIDS are crucial.

    Medical science advances continue to introduce new technologies, such as bone density testing, MRI, and genomic testing, to enhance diagnostic accuracy and patient care. Healthcare expenditure on diagnostic devices, accessories, and consumables is significant, with emerging countries increasingly investing in these technologies.

    Get a glance at the Womens Health Diagnostics Industry report of share of various segments Request Free Sample

    The Breast cancer testing segment was valued at USD 6.56 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 43% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    In North America, the adoption of advanced diagnostic technologies for women's health has been on the rise due to increasing healthcare expenditure, growing awareness about chronic diseases such as breast, ovarian, and cervical cancer, and the

  19. Forecast: Density of Computed Tomography Scanners in Hospitals in the US...

    • reportlinker.com
    Updated Apr 7, 2024
    + more versions
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    ReportLinker (2024). Forecast: Density of Computed Tomography Scanners in Hospitals in the US 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/d45ae875a12a118547daa25d6033cc35ab582e2e
    Explore at:
    Dataset updated
    Apr 7, 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 States
    Description

    Forecast: Density of Computed Tomography Scanners in Hospitals in the US 2022 - 2026 Discover more data with ReportLinker!

  20. Forecast: In Hospitals Magnetic Resonance Imaging Units Density in the US...

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: In Hospitals Magnetic Resonance Imaging Units Density in the US 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/210d6ccb062a1f5ff4f11bd55a897570a255fc88
    Explore at:
    Dataset updated
    Apr 7, 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 States
    Description

    Forecast: In Hospitals Magnetic Resonance Imaging Units Density in the US 2023 - 2027 Discover more data with ReportLinker!

Share
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Hospital bed density in the U.S. in 2022, by state [Dataset]. https://www.statista.com/statistics/1474768/hospital-bed-density-in-the-us-by-state/
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Hospital bed density in the U.S. in 2022, by state

Explore at:
Dataset updated
Jul 18, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
United States
Description

In 2022, there were, on average, 2.35 hospital beds per 1,000 population in the United States. Hospital bed density varied widely between the states, with South Dakota having 4.61 beds per thousand population, while there were just 1.6 hospital beds per thousand population available in Washington.

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