This dataset is grouped by service provider specialty, and provides information about the number of recipients, number of claims, and dollar amount for given diagnosis claims. Restricted to claims with service date between 01/2012 to 12/2017. Restricted to claims with a primary diagnosis only. Restricted to top 100 most frequent diagnosis codes that are marked as primary diagnosis of a claim. Provider is the rendering provider marked in the claim. Provider specialty is the primary specialty of the rendering provider. This data is for research purposes and is not intended to be used for reporting. Due to differences in geographic aggregation, time period considerations, and units of analysis, these numbers may differ from those reported by FSSA.

Demographics of providers and characteristics of provider practices.

The CMS Program Statistics - Medicare Physician, Non-Physician Practitioner and Supplier tables provide use and payment data for physicians, other practitioners, limited-licensed practitioners, and durable medical equipment, prosthetic, and orthotic (DMEPOS) suppliers.

For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.

These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data.

Below is the list of tables:

MDCR PHYSSUPP 1. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR PHYSSUPP 2. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PHYSSUPP 3. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Area of Residence MDCR PHYSSUPP 4. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Type of Service MDCR PHYSSUPP 5. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Place of Service MDCR PHYSSUPP 6. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Physician Specialty MDCR PHYSSUPP 7. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization and Program Payments for Original Medicare Beneficiaries, by Berenson-Eggers Type of Service (BETOS) Classification

Jamaica JM: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 82.300 % in 2011. This records an increase from the previous number of 75.000 % for 2005. Jamaica JM: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 75.000 % from Dec 2000 (Median) to 2011, with 3 observations. The data reached an all-time high of 82.300 % in 2011 and a record low of 39.000 % in 2000. Jamaica JM: ARI Treatment: % of Children Under 5 Taken to a Health Provider data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jamaica – Table JM.World Bank: Health Statistics. Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;

U.S. Census Bureau QuickFacts statistics for Doctor Phillips CDP, Florida. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Definitions:Race/Ethnicity: Race/ethnicity is categorized as: All races/ethnicities, Non-Hispanic (NH) White, NH Black, Asian/Pacific Islander, or Hispanic. "All races" includes all of the above, as well as other and unknown race/ethnicity and American Indian/Alaska Native. The latter two groups are not reported separately due to small numbers for many cancer sites.Racial/Ethnic Composition: Distribution of residents' race/ethnicity (e.g., % Hispanic, % non-Hispanic White, % non-Hispanic Black, % non-Hispanic Asian/Pacific Islander). (Source: US Census, 2010.)Rural: Percent of residents who reside in blocks that are designated as rural. (Source: US Census, 2010.)Foreign Born: Percent of residents who were born outside the United States. (Source: American Community Survey, 2008-2012.)Socioeconomic Status (Neighborhood Level): A composite measure of seven indicator variables created by principal component analysis; indicators include: education, blue-collar job, unemployment, household income, poverty, rent, and house value. Quintiles based on state distribution, with quintile 1 being the lowest SES and 5 being the highest. (Source: American Community Survey, 2008-2012.)Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

Haiti HT: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 78.100 % in 2017. This records an increase from the previous number of 37.900 % for 2012. Haiti HT: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 31.000 % from Dec 1995 (Median) to 2017, with 5 observations. The data reached an all-time high of 78.100 % in 2017 and a record low of 17.000 % in 1995. Haiti HT: ARI Treatment: % of Children Under 5 Taken to a Health Provider data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Haiti – Table HT.World Bank: Health Statistics. Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;

Albania ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 81.800 % in 2018. This records an increase from the previous number of 69.600 % for 2009. Albania ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 75.700 % from Dec 2000 (Median) to 2018, with 4 observations. The data reached an all-time high of 83.000 % in 2000 and a record low of 45.000 % in 2005. Albania ARI Treatment: % of Children Under 5 Taken to a Health Provider data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Albania – Table AL.World Bank.WDI: Social: Health Statistics. Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;

Togo TG: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: % of Population Aged 15+ data was reported at 45.289 % in 2017. This records an increase from the previous number of 18.251 % for 2014. Togo TG: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: % of Population Aged 15+ data is updated yearly, averaging 18.251 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 45.289 % in 2017 and a record low of 10.185 % in 2011. Togo TG: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: % of Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Togo – Table TG.World Bank.WDI: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Slovakia SK: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: % of Population Aged 15-24 data was reported at 54.582 % in 2017. This records an increase from the previous number of 37.638 % for 2014. Slovakia SK: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: % of Population Aged 15-24 data is updated yearly, averaging 54.582 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 59.480 % in 2011 and a record low of 37.638 % in 2014. Slovakia SK: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: % of Population Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovakia – Table SK.World Bank.WDI: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (young adults, % of population ages 15-24).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Portugal PT: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Secondary Education Or More: % of Population Aged 15+ data was reported at 95.502 % in 2017. This records a decrease from the previous number of 95.641 % for 2014. Portugal PT: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Secondary Education Or More: % of Population Aged 15+ data is updated yearly, averaging 95.502 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 95.641 % in 2014 and a record low of 86.092 % in 2011. Portugal PT: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Secondary Education Or More: % of Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Portugal – Table PT.World Bank: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (secondary education or more, % of population ages 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted Average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

This layer shows the age statistics in Tucson by neighborhood, aggregated from block level data, between 2010-2019. For questions, contact GIS_IT@tucsonaz.gov. The data shown is from Esri's 2019 Updated Demographic estimates.Esri's U.S. Updated Demographic (2019/2024) Data - Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.Additional Esri Resources:Esri DemographicsU.S. 2019/2024 Esri Updated DemographicsEssential demographic vocabularyPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

The Population Health Management (PHM) services market is experiencing robust growth, projected to reach a market size of $53.41 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 18.89% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing prevalence of chronic diseases necessitates proactive healthcare approaches, driving demand for PHM solutions. Furthermore, the shift towards value-based care models incentivizes providers to focus on improving population health outcomes, leading to increased adoption of PHM technologies and services. Government initiatives promoting preventative care and data-driven healthcare also contribute significantly to market growth. Technological advancements, particularly in data analytics, artificial intelligence, and telehealth, are further enhancing the capabilities and efficiency of PHM solutions, leading to improved patient outcomes and cost reduction. The market is segmented by component (software, hardware, services), delivery mode (on-premise, cloud-based/web-based), and end-user (payers, providers). The cloud-based segment is expected to dominate due to its scalability, accessibility, and cost-effectiveness. North America currently holds a significant market share due to advanced healthcare infrastructure and high adoption rates, but the Asia-Pacific region is anticipated to witness rapid growth in the coming years, driven by rising healthcare expenditure and increasing technological advancements in the region. The competitive landscape is characterized by a mix of established players like Allscripts Healthcare Solutions, Cerner Corporation, Epic Systems Corporation, and McKesson Corporation, alongside emerging technology providers. These companies are strategically focusing on developing innovative PHM solutions, expanding their service offerings, and forging strategic partnerships to consolidate their market positions. While challenges such as data security concerns, interoperability issues, and the need for robust data infrastructure exist, the overall market outlook for PHM services remains positive. The increasing emphasis on preventive care, the rising adoption of telehealth, and continuous technological advancements are poised to drive substantial growth throughout the forecast period, resulting in a significant expansion of the PHM services market by 2033. We project continued strong growth in all segments, though the specific pace of growth within each segment will likely vary based on technology adoption rates and regional healthcare system developments. Key drivers for this market are: , Need to Build a Comprehensive Single Platform for Patient Record and Management; Rising Population Suffering from Chronic Diseases Requires Long Period of Surveillance; Increasing Support and Investments from Public and Private Organizations. Potential restraints include: , Need to Build a Comprehensive Single Platform for Patient Record and Management; Rising Population Suffering from Chronic Diseases Requires Long Period of Surveillance; Increasing Support and Investments from Public and Private Organizations. Notable trends are: Cloud-based Segment is Found Dominating the Population Health Management Market.

This dataset merges 1972 data on social and military expenditures in 132 nations selected from WORLD MILITARY AND SOCIAL EXPENDITURES, 1974 (see Data Source) with information on demographic attributes of the same nations in 1972 obtained from WORLD POPULATION, 1973 (ICPSR 5032), collected by the United States Bureau of the Census. Military expenditures as well as international peacekeeping, public education, public health, and foreign economic aid expenditures are presented as both raw and per capita measures. Other information includes number of teachers, school age population per teacher, illiteracy rates, number of qualified physicians, population per physician, infant mortality rates, and population per soldier.

About this dataset

Context

The dataset tabulates the Spickard population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Spickard. The dataset can be utilized to understand the population distribution of Spickard by age. For example, using this dataset, we can identify the largest age group in Spickard.

Key observations

The largest age group in Spickard, MO was for the group of age 55 to 59 years years with a population of 78 (29.10%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Spickard, MO was the 10 to 14 years years with a population of 2 (0.75%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Spickard is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Spickard total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Spickard Population by Age. You can refer the same here

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Hospice Market Size 2024-2028

The hospice market size is forecast to increase by USD 111.1 billion, at a CAGR of 4.88% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing geriatric population and increasing geriatric medicine and the rising emphasis on person-centered care in hospice settings. The aging demographic trend is fueling a surge in demand for hospice services and digital health as the elderly population is more likely to require end-of-life care. This demographic shift is a major opportunity for hospice providers to expand their offerings and cater to the unique needs of this population. However, the high cost of healthcare remains a significant challenge for the market. The escalating costs of providing quality care, coupled with regulatory requirements and reimbursement pressures, put pressure on hospice providers to optimize their operations and manage costs effectively.
To navigate these challenges, hospice providers must explore innovative care models, leverage technology to improve efficiency, and collaborate with healthcare partners to share resources and reduce costs. By addressing these challenges, hospice providers can capitalize on the market's growth potential and deliver high-quality, person-centered care to their patients.

What will be the Size of the Hospice Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The market continues to evolve, with dynamic market activities shaping its landscape. Medication management, a crucial aspect, is increasingly integrated into hospice care through advanced technologies and specialized services. Wound care and home infusion therapy are also gaining prominence, providing comfort and symptom relief for patients. Hospice chaplains offer spiritual care, while home health aides and social workers ensure patient needs are met beyond medical care. Palliative care and grief counseling are essential components of holistic care, addressing the emotional and psychological aspects of end-of-life care. Referral pathways streamline the transition between various care settings, ensuring seamless continuity. Hospice volunteer coordinators play a vital role in supporting patients and families, while hospice physicians and administrators oversee the delivery of quality care.

Quality indicators, discharge planning, and spiritual assessment are key focus areas for enhancing patient satisfaction and improving overall care. Community resources, financial assistance, and durable medical equipment are essential for ensuring accessibility and affordability. Caregiver training and volunteer services are integral to supporting families and enhancing the patient experience. Symptom management, pain control, and nutritional support are ongoing priorities for hospice care. The market's continuous evolution reflects the diverse needs of patients and families, requiring a comprehensive approach to care that integrates medical, emotional, and spiritual support.

How is this Hospice Industry segmented?

The hospice 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.

End-user

  Home settings
  Hospitals
  Specialty nursing homes
  Hospice care centers


Type

  Nursing services
  Medical supply services
  Physician services
  Other services


Geography

  North America

    US
    Canada


  Europe

    Germany
    UK


  APAC

    China


  Rest of World (ROW)

By End-user Insights

The home settings segment is estimated to witness significant growth during the forecast period.

In the realm of healthcare, hospice care has emerged as a significant solution for individuals with chronic illnesses or those recovering from acute hospitalization. Hospice services encompass a range of social and medical offerings tailored to patients' needs. Registered and licensed nurses, therapists, dieticians, case managers, and nutritionists are among the professionals providing care. Home health aides, personal caregivers, and daily chores assistance are also included. These services extend to essential products, devices, and solutions for home settings. Hospice care goes beyond medical care, encompassing spiritual assessment, family support groups, and bereavement services. Outpatient hospice and inpatient hospice cater to varying patient requirements.

Quality indicators, discharge planning, and symptom management are integral components of hospice care. Caregiver training, volunteer services, and physician services ensure comprehensive patient care. Financial assistance, durable medical equipment, medication management, wound care, home inf

Liberia LR: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Female: % of Population Aged 15+ data was reported at 28.162 % in 2017. This records an increase from the previous number of 14.684 % for 2011. Liberia LR: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Female: % of Population Aged 15+ data is updated yearly, averaging 21.423 % from Dec 2011 (Median) to 2017, with 2 observations. The data reached an all-time high of 28.162 % in 2017 and a record low of 14.684 % in 2011. Liberia LR: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Female: % of Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (female, % age 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

About this dataset

Context

The dataset tabulates the New Haven population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Haven. The dataset can be utilized to understand the population distribution of New Haven by age. For example, using this dataset, we can identify the largest age group in New Haven.

Key observations

The largest age group in New Haven, IL was for the group of age 20-24 years with a population of 105 (25.86%), according to the 2021 American Community Survey. At the same time, the smallest age group in New Haven, IL was the 30-34 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the New Haven is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New Haven total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Haven Population by Age. You can refer the same here