Arizona

30-day hospital readmissions among adults ages 18–64 with employer-sponsored insurance, per 1,000 enrollees.

Adults ages 18–64 who report fair or poor health (%)

The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The 5-year estimates from the ACS are "period" estimates that represent data collected over a period of time. The primary advantage of using multiyear estimates is the increased statistical reliability of the data for less populated areas and small population subgroups. Notes on ACS Estimate:An '-999999999' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.An '(-888888888)' means that the estimate is not applicable or not available.A '-666666666' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.A '-555555555' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.A '-333333333' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.A '-222222222' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

The SAHIE program updated its methodology to incorporate the estimates of health insurance coverage from the American Community Survey (ACS). The incorporation of the ACS into the modeling procedures has allowed for more detailed income group data as well as a higher level of precision in the estimates.

TOTAL FERTILITY RATE is the sum of the age-specific birth rates (5-year age groups between 10 and 49) for female residents of a specified geographic area (nation, state, county, etc.) during a specified time period (usually a calendar year) multiplied by 5. (NOTE: This rate estimates the number of children a hypothetical cohort of 1,000 females in the specified population would bear if they all went through their childbearing years experiencing the same age-specific birth rates for a specified time period.) Note : 2022 data is provisional

This data set provides the Estimated numbers of new cancer cases and deaths in 2023. In 2023, 1,958,310 new cancer cases and 609,820 cancer deaths are projected to occur in the United States. 

Marketplace Open Enrollment Period Public Use Files Statistics of United States

Data cited at: COVID-19 Vaccine Projections https://covid19-projections.com/path-to-herd-immunity/

Since high ambient temperatures can lead to negative health outcomes such as heat cramps, heat exhaustion, heat syncope, and heat stroke. Monitoring health conditions associated with extreme heat requires temperature and relative-humidity data at highly resolved spatio-temporal scales. This dataset presents the data on daily estimates of heat index and extreme temperature days during the summer months.

Deaths from drug overdose have been identified as a significant public health burden in the United States in recent years. This report uses data from the National Vital Statistics System (NVSS) to highlight recent trends in drug overdose deaths, describing demographic and geographic patterns as well as the types of drugs involved.

AdvaMed advocates for a legal, regulatory and economic environment that advances global health care by assuring worldwide patient access to the benefits of medical technology. It promotes policies that foster the highest ethical standards, rapid product approvals, appropriate reimbursement, and access to international markets. Medical technology innovators are committed to providing physicians the best tools to diagnose and treat patients. This commitment drives over 6,000 companies in the U.S. to create medical miracles everyday—leading to an 80 percent increase in patents for breakthrough medical technologies in the last decade

Employee total potential out-of-pocket medical costs (premium contribution + deductible), as a share of state median income (%)

employer-sponsored insurance spending per enrollee

The Environmental Scanning and Program Characteristics (ESPC) Database, is intended to facilitate cross-State analyses. Information from the ESPC database can be linked to the Medicaid Analytic eXtract (MAX) files and other Medicaid data to support program and comparative effectiveness research (CER), policy studies, and program evaluations. The ESPC database and companion User Guide can serve as a stand-alone tool to facilitate intra–and inter–state analysis stemming from the implementation of health reform.

FHIR: Fast Healthcare Interoperability Resources HRR: Healthcare Referral Region

The Health, United States series presents an annual overview of national trends in health statistics. The report contains a Chartbook that assesses the nation's health by presenting trends and current information on selected measures of morbidity, mortality, health care utilization and access, health risk factors, prevention, health insurance, and personal health care expenditures. This year's Chartbook includes a Special Feature on the health of adults aged 55–64. The report also contains 123 Trend Tables organized around four major subject areas: health status and determinants, health care utilization, health care resources, and health care expenditures. A companion report—Health, United States: In Brief—featuresinformation extracted from the full report. The complete report, In Brief, and related data products are available on the Health, United States website.

Health Indicators on US States

Health Insurance in the United States

Global Burden of Disease Study 2016 (GBD 2016) Healthcare Access and Quality Index Based on Amenable Mortality 1990–2016. Global Burden of Disease Study 2016 (GBD 2016) estimates were used in an analysis of personal healthcare access and quality for 195 countries and territories, as well as selected subnational locations, over time. This dataset includes the following global, regional, national, and selected subnational estimates for 1990-2016: age-standardized risk-standardized death rates from 24 non-cancer causes considered amenable to healthcare; age-standardized mortality-to-incidence ratios for 8 cancers considered amenable to healthcare; and the Healthcare Access and Quality (HAQ) Index and individual scores for each of the 32 causes on a scale of 0 to 100. Code used to produce the estimates is also included. Results were published in The Lancet in May 2018 in "Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016

Healthy Marketplace Index (HMI) project is an initiative of HCCI, it tracks drivers of health care spending across 186 cities in the U.S. 

This dataset presents estimates to determine population exposure to extreme heat.

30-day hospital readmissions among Medicare beneficiaries age 65 and older per 1,000 beneficiaries, by income

Knoema modified the original dataset to include calculated indicators of "Total county population per ICU bed" and "Number of ICU beds per 100,000 population.”   Notes: This dataset includes the most recent reports, from FY 2018 and 2019. Some hospitals may have closed since then, and some hospitals may have made errors in their reporting. In some cases, beds in small satellite hospitals are reported in the main hospital's filing. Hospitals for veterans run by the Department of Defense are not included in this dataset.  

The data are from the linked infant birth and death files. To create linked data files, death certificates are linked with corresponding birth certificates for infants who die in the U.S. before their first birthday. The linked file is used for calculating infant mortality rates by race and ethnicity because these variables are more accurately collected on the birth certificate than the death certificate. For this table, the period linked file is used (the numerator of the mortality rates includes the deaths occurring in a given calendar year whether the birth occurred in that year or the preceding year).

In the United States, state laws require death certificates to be completed for all deaths, and Federal law mandates national collection and publication of deaths and other vital statistics data. The National Vital Statistics System, the Federal compilation of these data, is the result of the cooperation between the National Center for Health Statistics (NCHS) and the states to provide access to national statistical information from death certificates.

NCHS - Leading Causes of Death: United States This dataset presents the age-adjusted death rates for the 10 leading causes of death in the United States beginning in 1999. Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia using demographic and medical characteristics. Age-adjusted death rates (per 100,000 population) are based on the 2000 U.S. standard population. Populations used for computing death rates after 2010 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD–10) are ranked according to the number of deaths assigned to rankable causes. Cause of death statistics are based on the underlying cause of death. 

Data citation:International Long Term Care Policy Network, Avik Roy, The Foundation for Research on Equal Opportunity retrieved from The Foundation for Research on Equal Opportunity with approval dated 25th August 2020.

In the United States, state laws require birth certificates to be completed for all births, and Federal law mandates national collection and publication of births and other vital statistics data. The National Vital Statistics System, the Federal compilation of these data, is the result of the cooperation between the National Center for Health Statistics (NCHS) and the states to provide access to national statistical information from birth certificates. For more information, see Birth Data .

Note: For 2022 data is as of July 1 2022 This dataset provides provides eligibility levels in each state for key coverage groups that use Modified Adjusted Gross Income (MAGI), as of July 1, 2022. The data represent the principal, but not all, MAGI coverage groups in Medicaid, the Children’s Health Insurance Program (CHIP), and the Basic Health Program (BHP). All income standards are expressed as a percentage of the federal poverty level (FPL). The MAGI-based rules generally include adjusting an individual’s income by an amount equivalent to a 5% FPL disregard. Other eligibility criteria also apply, such as citizenship, immigration status, and state residency.

The Part D Prescriber PUF is based on information from CMS’s Prescription Drug Event Standard Analytic File, which has final-action claims that are submitted by Medicare Advantage Prescription Drug (MAPD) plans and by stand-alone Prescription Drug Plans (PDP).

The Access Ranking indicates how much access to mental health care exists within a state. The access measures include access to insurance, access to treatment, quality and cost of insurance, access to special education, and workforce availability. A high Access Ranking indicates that a state provides relatively more access to insurance and mental health treatment.

In the United States, state laws require death certificates to be completed for all deaths, and Federal law mandates national collection and publication of deaths and other vital statistics data. The National Vital Statistics System, the Federal compilation of these data, is the result of the cooperation between the National Center for Health Statistics (NCHS) and the states to provide access to national statistical information from death certificates

In the United States, State laws require death certificates to be completed for all deaths, and Federal law mandates national collection and publication of data on deaths. The National Vital Statistics System, the Federal compilation of these data, is the result of the cooperation between the National Center for Health Statistics (NCHS) and the States to provide access to statistical information from death certificates

The 2020 Index is the seventh in a series of annual releases of data and analysis on national health security and preparedness. The first two Index releases in December 2013 and December 2014 were supported by the U.S. Centers for Disease Control and Prevention; beginning with the third release in April 2016, support for the Index was provided by the Robert Wood Johnson Foundation, with the Program Management Office located at the University of Kentucky. Expert workgroups provide input and feedback on Index production throughout the year, while a National Advisory Committee provides guidance to the Foundation and Program Management Office on strategic issues.

National Healthcare Quality and Disparities Reports (NHQDR): Deaths per 1,000 Hospital Admissions with Expected Low-Mortality

Table 2o - Typhoid fever; Vancomycin-intermediate Staphylococcus aureus; Vancomycin-resistant Staphylococcus aureus; Varicella morbidity; Varicella mortality; Vibriosis; Suggested Citation:  Centers for Disease Control and Prevention. National Notifiable Diseases Surveillance System, 2018 Annual Tables of Infectious Disease Data.  Atlanta, GA. CDC Division of Health Informatics and Surveillance, 2019.  Available at: https://www.cdc.gov/nndss/infectious-tables.html, https://www.cdc.gov/nndss/infectious-tables.html.

NNDSS - Table II. Salmonellosis to Shigellosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed ( 1,000 and _ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. Includes E. coli O157:H7; Shiga toxin positive, serogroup non-O157; and Shiga toxin positive, not serogrouped.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.

BRFSS: Table of Overweight and Obesity (BMI) Based on Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2011 to present) 2011 to present. BRFSS combined land line and cell phone prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death

Data cited: SHADAC analysis of [DATA SOURCE], State Health Compare, SHADAC, University of Minnesota, statehealthcompare.shadac.org, Accessed [DATE]: 1st July 2021.Notes: Dollar amount represents state per capita public health funding during the fiscal year. Figures represent state funding only. Data not available for 2006. 

Percent who had trouble paying off medical bills in the past year, U.S

This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).

In the United States, state laws require birth certificates to be completed for all births, and Federal law mandates national collection and publication of births and other vital statistics data. The National Vital Statistics System, the Federal compilation of these data, is the result of the cooperation between the National Center for Health Statistics (NCHS) and the states to provide access to national statistical information from birth certificates. For more information, see Birth Data

An Environmental Public Health Indicator (EPHI) provides information about a population's health status with respect to environmental factors.  The EPHIs may be particularly useful when measurable links are not clear. As such, they can be used to measure health, or a factor associated with health in a specific population.

This data file contains the following indicators that can be used to illustrate potential differences in the burden of deaths due to COVID-19 according to race and ethnicity: •Count of COVID-19 deaths: Number of deaths due to COVID-19 reported for each race and Hispanic origin group •Distribution of COVID-19 deaths (%): Deaths for each group as a percent of the total number of COVID-19 deaths reported •Unweighted distribution of population (%): Population of each group as a percent of the total population •Weighted distribution of population (%): Population of each group as percent of the total population after accounting for how the race and Hispanic origin population is distributed in relation to the geographic areas impacted by COVID-19

The Regional Database contains annual data from 1995 to the most recent available year (generally 2014 for demographic and labour market data, 2013 for regional accounts, innovation and social statistics).   In any analytical study conducted at sub-national levels, the choice of the territorial unit is of prime importance. The territorial grids (TL2 and TL3) used in this database are officially established and relatively stable in all member countries, and are used by many as a framework for implementing regional policies. This classification - which, for European countries, is largely consistent with the Eurostat classification - facilitates greater comparability of regions at the same territorial level. The differences with the Eurostat NUTS classification concern Belgium, Greece and the Netherlands where the NUTS 2 level correspond to the OECD TL3 and Germany where the NUTS1 corresponds to the OECD TL2 and the OECD TL3 corresponds to 97 spatial planning regions (Groups of Kreise). For the United Kingdom the Eurostat NUTS1 corresponds to the OECD TL2. Due to limited data availability, labour market indicators in Canada are presented for a different grid (groups of TL3 regions). Since these breakdowns are not part of the OECD official territorial grids, for the sake of simplicity they are labelled as Non Official Grids (NOG).

The Regional well-being dataset presents eleven dimensions central for well-being at local level and for 395 OECD regions, covering material conditions (income, jobs and housing), quality of life (education, health, environment, safety and access to services) and subjective well-being (social network support and life satisfaction). The set of indicators selected to measure these dimensions is a combination of people's individual attributes and their local conditions, and in most cases, are available over two different years (2000 and 2014). Regions can be easily visualised and compared to other regions through the interactive website [www.oecdregionalwellbeing.org]. The dataset, the website and the publications "Regions at a Glance" and "How’s life in your region?" are outputs designed from the framework for regional and local well-being. The Regional income distribution dataset presents comparable data on sub-national differences in income inequality and poverty for OECD countries. The data by region provide information on income distribution within regions (Gini coefficients and income quintiles), and relative income poverty (with poverty thresholds set in respect of the national population) for 2013. These new data complement international assessments of differences across regions in living conditions by documenting how household income is distributed within regions and how many people are poor relatively to the typical citizen of their country. For analytical purposes, the OECD classifies regions as the first administrative tier of sub-national government, so called Territorial Level 2 or TL2 in the OECD classification. This classification is used by National Statistical Offices to collect information and it represents in many countries the framework for implementing regional policies. Well-being indicators are shown for the 395 TL2 OECD regions, equivalent of the NUTS2 for European countries, with the exception for Estonian where well-being data are presented at a smaller (TL3) level and for the Regional Income dataset, where Greece, Hungary and Poland data are presented at a more aggregated (NUTS1) level.

Registered studies by ClinicalTrials.gov

In the United States, the seasonality of respiratory syncytial virus (RSV) has traditionally been defined on the basis of weeks during which antigen-based tests detect RSV in >10% of specimens. Because molecular testing has become more widely used, we explored the extent of polymerase chain reaction (PCR)–based RSV testing and its impact on determining the seasonality of RSV.

Health Professional Shortage Area (HPSA) designations are used to identify areas and population groups within the United States that are experiencing a shortage of health professionals. There are three categories of HPSA designation based on the health discipline that is experiencing a shortage: 1) primary medical; 2) dental; and 3) mental health. The primary factor used to determine a HPSA designation is the number of health professionals relative to the population with consideration of high need. Federal regulations stipulate that, in order to be considered as having a shortage of providers, an area must have a population-to-provider ratio of a certain threshold. For mental health, the population to provider ratio must be at least 30,000 to 1 (20,000 to 1 if there are unusually high needs in the community). The number of mental health care HPSA designations includes HPSAs that are proposed for withdrawal and HPSAs that have no data. By statute, designations are not withdrawn until a Federal Register Notice is published, generally once a year on or around July 1.

Marketplace Open Enrollment Period Public Use Files Statistics of United States

Teen birth rates differ substantially by age, racial and ethnic group, and region of the country. Most adolescents who give birth are 18 or older; in 2016, 74 percent of all teen births occurred to 18- to 19-year-olds. Birth rates are also higher among Hispanic and black adolescents than among their white counterparts. In 2016, Hispanic adolescent females ages 15-19 had a higher birth rate (31.9 births per 1,000 adolescent females) than black adolescent females (29.3) and white adolescent females (14.3). To help put these differences in perspective, estimates from 2013 show that eight percent of white adolescent females will give birth by their 20th birthday, as will 16 percent of black adolescent females and 17 percent of Hispanic adolescent females. Although Hispanics still have a higher teen birth rate than their black and white peers, the rate has declined substantially in recent years. Since 2007, the teen birth rate among Hispanics has declined by 58 percent, compared with declines of 53 percent for blacks and 47 percent for whites.

Texas Primary Care Physicians & Psychiatrists by Health Region. Table 28: Infant, Neonatal, Fetal, Perinatal, and Maternal Deaths by Public Health Region, County and City of Residence Texas  (Rates, Ratios Per 1,000 Live Births).

State-level Data on Demographics, Economy, Labor, Income and Welfare, Crime, Health, Education and Agriculture.   Two indicators: "Enrollment in public elementary and secondary school" and "Public high school graduates" have forecast data points. References: http://nces.ed.gov/ http://quickstats.nass.usda.gov/ http://usda.mannlib.cornell.edu/ http://wonder.cdc.gov/mortSQL.html http://www.acf.hhs.gov/ http://www.bea.gov/iTable http://www.bls.gov/mls/ http://www.census.gov/ http://www.dhs.gov/ http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s http://www.infoplease.com/ http://www.usgovernmentspending.com/  

The 2020 Health Care Cost and Utilization Report presents data on health care spending, utilization, and average prices from 2016 through 2020 for individuals under the age of 65 who receive health insurance coverage through an employer. The report relies on de-identified commercial health insurance claims contributed by CVS Health/Aetna, Humana, and Blue Health Intelligence during this period.

Hospitals across the country show a lot of variation when it comes to patient safety. Here, states are ranked based on the number of “A” hospitals they have compared to the total number of graded hospitals on the Fall 2020 Leapfrog Hospital Safety Grade. State rankings from Fall 2019 are also displayed.

Enrolled-Number of beneficiaries enrolled by contract in the state/county United States: Enrollment Data for Medicare Advantage.

Per Capita Health Care and Health Insurance Spendings in United States

Vaccination Coverage among Young Children (0 – 35 Months)

Data cited at:  Ahmad FB, Rossen LM, Sutton P. Provisional drug overdose death counts. National Center for Health Statistics. 2020. Designed by LM Rossen, A Lipphardt, FB Ahmad, JM Keralis, and Y Chong: National Center for Health Statistics. This data contains provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. Counts for the most recent final annual data are provided for comparison. National provisional counts include deaths occurring within the 50 states and the District of Columbia as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation (see Technical notes) resulting in an underestimate relative to final counts. To address this, methods were developed to adjust provisional counts for reporting delays by generating a set of predicted provisional counts (see Technical notes). Starting in June 2018, this monthly data release will include both reported and predicted provisional counts.

Data cited at: Ahmad FB, Bastian B. Quarterly provisional estimates for selected indicators of mortality, 2018-Quarter 3, 2019. National Center for Health Statistics. National Vital Statistics System, Vital Statistics Rapid Release Program. 2020. Provisional estimates of death rates. Estimates are presented for each of the 15 leading causes of death plus estimates for deaths attributed to drug overdose, falls (for persons aged 65 and over), human immunodeficiency virus (HIV) disease, homicide, and firearms-related deaths.

Note: Effective September 27, 2023, this dataset will no longer be updated. Provisional counts of deaths by the week the deaths occurred, by state of occurrence, and by select underlying causes of death. The dataset also includes weekly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.