Alabama

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.

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

Note: Data Series with Survey period range mentioned (like 2022-2023, etc.), Date/year is mentioned as '1111' and this value of '1111' can be ignored. Data cited at: County Health Rankings-  https://www.countyhealthrankings.org/explore-health-rankings/texas/data-and-resources

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

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

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.

(CDC ID's: y6uv-t34t ,7pb7-w9us ,93k9-hy54) NNDSS - Table II. Lyme disease to Meningococcal - 2016. In this Table, provisional* cases of selected notifiable diseases (1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. 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. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Case counts for reporting year 2015 and 2016 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. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.

Medicaid enrollment includes Breast and Cervical Cancer Program recipients, February 2019 figures above are estimated based on incomplete data and will change, Source: PPS Data, HHSC Forecasting

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.

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

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

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).

Registered studies by ClinicalTrials.gov

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.

Data cited at: https://globalepidemics.org/our-data/hospital-capacity/   Notes: HGHI launches regionalized capacity estimates.  We built this model to provide the public, health care leaders and policy makers with a better understanding of hospital bed capacity across the United States. We have run the numbers not just nationally, but for each Hospital Referral Region — 305 local hospital markets in the country. By making this information available on such a granular level, we can showcase which regions will be particularly stressed as coronavirus infections rise, and an more and more people need to be hospitalized. Our model offers two main levers framing the bed capacity outcomes: Users can select the percentage of the population that will be infected with SARS-CoV-2, and they can select in which time frame this percentage of the total population of the selected region will be infected. For example, our pre-set when first clicking on a Hospital Referral Region shows hospital bed capacity for a scenario in which x percent of that region’s population are infected in y months. When we first published our model in collaboration with ProPublica, we chose nine main scenarios on which to focus: A population infection rate of 20 percent, 40 percent, or 60 percent, each modeled over either 6, 12 or 18 months. Our original infection rate scenarios are based on estimates by leading epidemiologists such as Harvard’s Mark Lipsitch, who predicts that 20 to 60 percent of the population will get infected with the novel coronavirus over the course of the pandemic. Our original time stamps – 6, 12 or 18 months – are based on the assumption that it will take about 18 months for a vaccine to be widely available (if there will be a vaccine.) These scenarios allow us to explore the impact of mitigation efforts such as physical distancing — which help us  keep the infection rate lower for longer — up to the earliest time point when we could have an additional measure — the vaccine or a treatment — to bring down hospitalizations due to COVID-19.  

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

Avian influenza is caused by influenza Type A virus (influenza A). Avian-origin influenza viruses are broadly categorized based on a combination of two groups of proteins on the surface of the influenza A virus: hemagglutinin or “H” proteins, of which there are 16 (H1-H16), and neuraminidase or “N” proteins, of which there are 9 (N1-N9). Many different combinations of “H” and “N” proteins are possible. Each combination is considered a different subtype, and related viruses within a subtype may be referred to as a lineage. Avian influenza viruses are classified as either “low pathogenic” or “highly pathogenic” based on their genetic features and the severity of the disease they cause in poultry. Most viruses are of low pathogenicity, meaning that they causes no signs or only minor clinical signs of infection in poultry.

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.