Tennessee

CITE SOURCE OF DATA AS: Kantar/CMAG with analysis by the Wesleyan Media Project. Note: Numbers include ads aired on broadcast television and national cable between September 5 and 27, 2020.  

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 ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. 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.    

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. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Economic Characteristics – class of worker, commute to work, employment status, health insurance, income and benefits, industry,occupation, and poverty.

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. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Housing Characteristics – house heating fuel, housing occupancy, housing value, mortgage status, occupants per room, rent, rooms, selected characteristics, selected monthly owner cost, units in structure, vehicles available, year of move-in, and year structure built.

The American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties

The American Dream Prosperity Index provides a comprehensive picture of prosperity in 50 states and Washington D.C.The Index, comprising over 200 indicators gathered from more than 80 separate data sources are divided into 3 main domains namely Inclusive Societies, Open Economies, and the Empowered People, under these 11 pillars and 48 sub-components. It is a transformational tool designed to help policymakers, investors, philanthropists, and community leaders strengthen the pathways from poverty to prosperity across the nation, enabling all Americans to achieve their dream. It also provides journalists, researchers, and citizens access to meaningful data to better understand the impact of decisions being made that affect their communities.  

State Population Totals and Components of Change: 2020-2022 Each year, the United States Census Bureau produces and publishes estimates of the population for the nation, states, counties, state/county equivalents, and Puerto Rico. With each annual release of population estimates, the Population Estimates Program revises and updated the entire time series of estimates from April 1, 2020 to July 1 of the current year.

Behavioral Risk Factor Data: Tobacco Use (2011 to present) 2011-2019. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. BRFSS Survey Data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. The data for the STATE System were extracted from the annual BRFSS surveys from participating states. Tobacco topics included are cigarette and e-cigarette use prevalence by demographics, cigarette and e-cigarette use frequency, and quit attempts. NOTE: these data are not to be compared with BRFSS data collected 2010 and prior, as the methodologies were changed.

Between 1980 and 2023, 59 Severe Storm, 12 Winter Storm, 4 Flooding, 9 Drought, 4 Tropical Cyclone, and 2 Freeze billion-dollar disaster events affected Ohio (CPI-adjusted). Note: All Events data has been aggregated.

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

New Privately Owned Housing Units Authorized, Unadjusted Units for Regions, Divisions, and States County data collecting from the link https://www2.census.gov/econ/bps/County/

New Privately-Owned Housing Units Authorized Unadjusted Units by State, Regions and Metropolitan Area

Canada and U.S. General Aviation Fleet, Flight Activity, and Forecast

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. 

Change-of-Address Stats on USPS FOIA Website

City and Town Population Totals: 2010-2022, U.S.

2019-20 year consider as 2020 and 2018-19 year consider as 2019

Combined Statistical Area Population Estimates, U.S.

Common Core of Data: State Dropout and Completion Data The report draws on a wide array of surveys and administrative datasets to present statistics on high school dropout and completion rates at the state and national levels. The report includes estimates of the percentage of students who drop out in a given 12-month period (event dropout rates), the percentage of young people in a specified age range who are high school dropouts (status dropout rates), and the percentage of young people in a specified age range who hold high school credentials (status completion rates). In addition, the report includes data on the percentage of students who graduate with a regular diploma within four years of starting ninth grade (adjusted cohort graduation rates).  

Program Overview:The Common Core of Data (CCD) nonfiscal surveys consist of data submitted annually to the National Center for Education Statistics (NCES) by state education agencies (SEAs) in the 50 states, the District of Columbia, Puerto Rico, the four US Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the US Virgin Islands), the Department of Defense Education Activity (DoDEA), and the Bureau of Indian Education (BIE). In order to provide data comparable across states, NCES and representatives of SEAs have worked since the 1950s to develop and accept common data items and definitions. SEAs report school-, agency-, and state-level education data for the CCD through the US Department of Education's EDFacts collection system. CCD survey staff edits the data to produce the final data file, which NCES uses to construct general-purpose publications and specialized reports. The principal users of CCD nonfiscal data are the federal government; the education research community; state and local government officials, including school boards and LEA administrators; and the general public.   Guidelines for Missing, Not Applicable, and Suppression Code Values: For Numeric Data: -1 denotes missing, not available, or not reported data items. -2 denotes "not applicable" data items. -9 indicates suppressed data because it failed the multi-year edit.        

Comparison of State and Local Government Revenue in the United States

Comparison of State and Local Government Spending in the United States -5yr -1yr Fiscal Year 2028

Note: Effective September 27, 2023, this dataset will no longer be updated.  This dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19).   Number of conditions reported in this table are tabulated from deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more. Conditions contributing to the death were identified using the International Classification of Diseases, Tenth Revision (ICD-10). Deaths involving more than one condition (e.g., deaths involving both diabetes and respiratory arrest) were counted in both totals. To avoid counting the same death multiple times, the numbers for different conditions should not be summated. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1  

Note: The year is Calendar year The national conforming loan limit for mortgages that finance single-family one-unit properties increased from $ 33,000 in the early 1970s to $ 417,000 for 2006-2008, with limits 50 percent higher for four statutorily-designated high cost areas: Alaska, Hawaii, Guam, and the US Virgin Islands. Since 2008, various legislative acts increased the loan limits in certain high-cost areas in the United States. While some of the legislative initiatives established temporary limits for loans originated in select time periods, a permanent formula was established under the Housing and Economic Recovery Act of 2008 (HERA). The 2019 loan limits have been set under the HERA formula.  TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

The national conforming loan limit for mortgages that finance single-family one-unit properties increased from $33,000 in the early 1970s to $417,000 for 2006-2008, with limits 50 percent higher for four statutorily-designated high cost areas: Alaska,  Hawaii, Guam, and the U.S. Virgin Islands.  Since 2008, various legislative acts increased the loan limits in certain high-cost areas in the United States.  While some of the legislative initiatives established temporary limits for loans originated in select time periods, a permanent formula was established under the Housing and Economic Recovery Act of 2008 (HERA).  The 2021 loan limits have been set under the HERA formula. 

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

County Population Totals: 2010-2019, U.S.

Overview of Variants in Countries: This dataset contains, the proportion of total number of sequences (not cases), over time, that fall into defined variant groups. Countries are displayed if they have at least 70 sequences in any variant being tracked, over a period of at least 4 weeks. Countries are ordered by total number of sequences in tracked variants.   It is worth interpreting with caution:Not all samples are representative - sometimes some samples are more likely to be sequenced than others (for containing a particular mutation, for example)The last data point - this often has incomplete data and may change as more sequences come inFrequencies that are very 'jagged' - this often indicates low sequencing numbers and so may not be truly representative of the countryIn many places, sampling may not be equal across the region: samples may only cover one area or certain areas. It's important not to assume frequencies shown are necessarily representative.

The Veteran Population Projection Model 2020 (VetPop2020) provides the latest official Veteran population projection from the Department of Veterans Affairs (VA).  VetPop2020 is a deterministic projection model developed by the office of Predictive Analytics to estimate and project the Veteran Population from Fiscal Year (FY) 2020 to FY2050. Using the best available Veteran data at the end of FY2020 as the base population. VetPop2020 projects living and deceased Veteran counts by key demographic characteristics such as age, gender, period of service, and race/ethnicity at various geographic levels for the next 30 years

Fatality Analysis Reporting System (FARS) Source - https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813435

Early-Childhood Education of United States

Education Demographics Indicators United States. The data for each year is a cumulative sum of the values from the past five years. For example, the data for 2021 includes the sum of the values from 2017 to 2021.

United States : Finance Statistics

Educational Attainment, U.S.

Indicator Details are as Below:Advanced Meters – This file, compiled from data collected on both Forms EIA-861 and EIA-861S, contains information on Automated Meter Readings (AMR) and Advanced Metering Infrastructure (AMI). (Formerly File 8)Balancing Authority – This file, contains the list of Balancing Authorities and the states they operate in, for the EIA-861 and EIA-861S. (Formerly File 1_cao)Demand Response (2013 forward) – This file, compiled from data collected on Form EIA-861 only, contains the number of customers enrolled, energy savings, potential and actual peak savings, and associated costs.Distribution Systems (2013 forward) – This file, compiled from data collected on Form EIA-861 only, contains the number of distribution circuits and circuits with voltage optimization.Dynamic Pricing (2013 forward) – This file, compiled from data collected on Form EIA-861 only, contains the number of customers enrolled in various programs, i.e. time of use, real time, variable peak and critical peak pricing, and critical peak rebate programs.Energy Efficiency (2013 forward) – This file, compiled from data collected on Form EIA-861 only, contains incremental and life cycle data on energy savings, peak demand savings, weighted average life, and associated costs.Mergers (2007 forward) – This file, compiled from data collected on Form EIA-861 only, contains information on mergers and acquisitions. (Formerly File 7)Net Metering (2007 forward) – This file, compiled from data collected on Form EIA-861 only, contains number of customers and displaced energy, by sector and state. For 2010 forward, it contains capacity, customer count, and energy sold back (an optional question on the survey) by sector and state and by technology type, i.e. photovoltaic, wind, and/or other.Non Net Metering Distributed – This file, compiled from data collected on Form EIA-861 only, contains information on utility or customer-owned distributed generators such as the number, capacity, and technology type of generators. Capacities by photovoltaic and storage generation types were added in 2010, fuel cells were added in 2016. Starting in 2016, this data is now collected at the sector level. (Formerly Distributed Generation, Formerly File 6)Operational Data – This file, compiled from data collected on Form EIA-861 only, contains aggregate operational data for the source and disposition of energy and revenue information from each electric utility in the country, including power marketers and federal power marketing administrations. (Formerly File 1)Reliability (2013 forward) – This file, compiled from data collected on Form EIA-861 only, contains SAIDI and SAIFI data.Sales to Ultimate Customers – This file, compiled from data collected on the Form EIA-861 and an estimate from Form EIA-861S for data by customer sector, contains information on retail revenue, sales, and customer counts by state, balancing authority, and class of service (including the transportation sector which was added in 2003) for each electric distribution utility or energy service provider. (Formerly File 2)Sales to Ultimate Customers, Customer Sited – This file, compiled from data collected on the Form EIA-923 only, contains information on retail revenue, sales, and customer counts by state and balancing authority. This includes retail sales from any units located at a customer site.Utility Data (2007 forward) – This file, compiled from data collected on Form EIA-861 only, contains information on the types of activities each utility engages in, the NERC regions of operation, whether the utility generates power, whether it operates alternative-fueled vehicles, and, beginning in 2010, the ISO or RTO region in which the entity conducts operations. (Formerly File 1_a)Demand-Side Management (discontinued after 2012) – This file, compiled from data collected on both Form EIA-861 and, for time-based rate programs, Form EIA-861S, contains information on electric utility demand-side management programs, including energy efficiency and load management effects and expenditures. Beginning in 2007, it also contains the number of customers in time-based rate programs. (Formerly File 3)Green Pricing (discontinued after 2012) – This file, compiled from data collected on Form EIA-861 only, contains number of customers, sales, and revenue, by sector and state. (Formerly File 5)  

U.S. Employment by Sector -  Monthly data

US Employment Situation of Veterans, 2018

The State Preschool Yearbook is an annual publication which has tracked the funding, access, and policies of state-funded preschool programs since the 2001-2002 school year. The Yearbook seeks to improve the public’s knowledge and understanding of state efforts to expand the availability of high-quality education to young children in the 21st century. We hope that this report will serve as a resource for policymakers, advocates, and researchers to make more informed decisions as state-funded preschool education moves forward to further decades of progress.

All States provided estimates for public supply, domestic, irrigation, livestock, aquaculture, industrial,mining, and thermoelectric power water use. All States also provided estimates of public supply deliveries for domestic use.All States will have estimates of the total population served by public supply. States optionally may have estimated public supply population served by groundwater and surface water.All States will have estimates of total irrigation. States optionally may have estimated subtotals for crop irrigation and golf-course irrigation.No consumptive-use data were collected nationally for any of the categories for 2010.No commercial water-use data were collected nationally for 2010.No wastewater release data were collected nationally for 2010.No hydroelectric power instream use data were collected nationally for 2010.Public-supply deliveries for commercial, industrial, and thermoelectric power were not collected nationally for 2010.

Estimates of excess deaths can provide information about the burden of mortality potentially related to COVID-19, beyond the number of deaths that are directly attributed to COVID-19. Excess deaths are typically defined as the difference between observed numbers of deaths and expected numbers. This visualization provides weekly data on excess deaths by jurisdiction of occurrence. Counts of deaths in more recent weeks are compared with historical trends to determine whether the number of deaths is significantly higher than expected. Estimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. Estimates of excess deaths presented in this web page were calculated using Farrington surveillance algorithms (1). For each jurisdiction, a model is used to generate a set of expected counts, and the upper bound of the 95% Confidence Intervals (95% CI) of these expected counts is used as a threshold to estimate excess deaths. Observed counts are compared to these upper bound estimates to determine whether a significant increase in deaths has occurred. Provisional counts are weighted to account for potential under reporting in the most recent weeks. However, data for the most recent week(s) are still likely to be incomplete. Only about 60% of deaths are reported within 10 days of the date of death, and there is considerable variation by jurisdiction.

The Higher Education Research and Development Survey, successor to the Survey of Research and Development Expenditures at Universities and Colleges, is the primary source of information on R&D expenditures at U.S. colleges and universities. The survey collects information on R&D expenditures by field of research and source of funds and also gathers information on types of research and expenses and headcounts of R&D personnel. The survey is an annual census of institutions that expended at least $150,000 in separately budgeted R&D in the fiscal year.   Courtesy: National Science Foundation

The activities of multinational enterprises statistics available here provide a picture of the overall activities of US affiliates of foreign parents and contain a wide variety of indicators of their financial structure and operations. These statistics cover items that are needed in analyzing the characteristics, performance, and economic impact of MNEs, and are obtained from mandatory surveys of US affiliates of foreign parents conducted by BEA.

The Freight Analysis Framework (FAF) creates a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. The FAF integrates data from a variety of sources. Starting with data from the Commodity Flow Survey (CFS) and international trade data from the Census Bureau, FAF incorporates data from agriculture, extraction, utility, construction, service, and other sectors. The FAF is produced by BTS with support from FHWA.

Update - Latest version - FAF5.6 has estimates of weight, value, and activity by origin and destination regions, commodity type, and mode for:Base year (2017)Annual estimates (2018–2022)Forecast year estimates (2025–2050)State-level historical trend estimates (1997–2012)

Definition: The Uniform Crime Reporting (UCR) Program defines law enforcement officers as individuals who ordinarily carry a firearm and a badge, have full arrest powers, and are paid from governmental funds set aside specifically for sworn law enforcement representatives. User’s note:  Because of law enforcement’s varied service requirements and functions, as well as the distinct demographic traits and characteristics of each jurisdiction, readers should use caution when drawing comparisons between agencies’ staff levels based on police employment data from the UCR Program. In addition, the data presented here reflect existing staff levels and should not be interpreted as preferred officer strengths recommended by the FBI. Lastly, it should be noted that the totals given for sworn officers for any particular agency reflect not only the patrol officers on the street but also the officers assigned to various other duties such as those in administrative and investigative positions and those assigned to special teams. Data collection: Each year, law enforcement agencies across the United States report to the UCR Program the total number of sworn law enforcement officers and civilians in their agencies as of October 31. Civilian employees include personnel such as clerks, radio dispatchers, meter attendants, stenographers, jailers, correctional officers, and mechanics provided that they are full-time employees of the agency.

Government Revenue and Expenditure by Category, Texas (Annual Report)

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

Note that values are given for marketing years, e.g. 2016 corresponds to 2015/2016 marketing year, 2015 refers to 2014/2015 marketing year, etc.   Market year starts in December and ends in November of the following year.

In December 2022, IHME paused its COVID-19 modeling. IHME has developed projections for total and daily deaths, daily infections and testing, hospital resource use, and social distancing due to COVID-19 for a number of countries. Forecasts at the subnational level are included for select countries. The projections for total deaths, daily deaths, and daily infections and testing each include a reference scenario: Current projection, which assumes social distancing mandates are re-imposed for 6 weeks whenever daily deaths reach 8 per million (0.8 per 100k). They also include two additional scenarios: Mandates easing, which reflects continued easing of social distancing mandates, and mandates are not re-imposed; and Universal Masks, which reflects 95% mask usage in public in every location. Hospital resource use forecasts are based on the Current projection scenario. Social distancing forecasts are based on the Mandates easing scenario. These projections are produced with a model that incorporates data on observed COVID-19 deaths, hospitalizations, and cases, information about social distancing and other protective measures, mobility, and other factors. They include uncertainty intervals and are being updated daily with new data. These forecasts were developed in order to provide hospitals, policy makers, and the public with crucial information about how expected need aligns with existing resources, so that cities and countries can best prepare. Dataset contains Observed and Projected data

US Regional Households

Annual Estimates of Housing Units for the United States and States: April 1, 2010 to July 1, 2019

Housing Vacancies and Homeownership in US https://www.census.gov/housing/hvs/data/ann19ind.html 

The Impact of Travel on State Economies database contains data on total domestic and international travelers' direct travel spending in the U.S., as well as travel-generated employment, payroll and tax receipts, the estimates are broken out for the total U.S. overall, as well as for each state and the District of Columbia.   Impact of Travel on State Economies of U.S.: Current and Historical Estimates

Year represents, for any particular company, the time series of that particular company. For example xyz company has data for 10 years (2007-2016) then in "year" it shows 10, if another company ABC has time series of 5 years (2007-2011) then it shows 5.   Note: Before 2007, data is not available but it has been counted under "Year".

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.

The international goods and services deficit was $74.6 billion in April, up $14.0 billion from $60.6 billion in March. April exports were $249.0 billion, $9.2 billion less than March exports. April imports were $323.6 billion, $4.8 billion more than March imports. 

The mission of the Internet Crime Complaint Center (IC3) is to provide the public with a reliable and convenient reporting mechanism to submit information to the FBI concerning suspected Internet-facilitated criminal activity and to develop effective alliances with industry partners. Information is processed for investigative and intelligence purposes for law enforcement and public awareness.

This dataset contains the number of first-time freshmen by the state of residence, along with data on the number who graduated from high school the previous year. Institutions with traditional academic year calendar systems (semester, quarter, trimester or 4-1-4) report their enrollment as of October 15 or the official fall reporting date of the institution. Institutions with calendar systems that differ by program or allow continuous enrollment report students that are enrolled at any time between August 1 and October 31. 

This dataset contains data on the total entering class, first-year retention rates and the student-to-faculty ratio. The total entering class is the number of incoming students (students enrolling for the first time in a postsecondary institution versus students transferring in from another postsecondary institution) at an institution. This measure permits the calculation of the graduation rate cohort as a proportion of the total entering student body. This dataset contains data on the total entering class, first-year retention rates and the student-to-faculty ratio. The total entering class is the number of incoming students (students enrolling for the first time in a postsecondary institution versus students transferring in from another postsecondary institution) at an institution. This measure permits the calculation of the graduation rate cohort as a proportion of the total entering student body. The first-year retention rate data measure the percentage of first-year students who had persisted in or completed their educational program a year later (began in fall 2016 and persisted or completed in fall 2017). Institutions can exclude the number of students from the first-time cohort who left the institution for any of the following reasons: died or were totally and permanently disabled; to serve in the armed forces (including those called to active duty); to serve with a foreign aid service of the Federal Government (e.g. Peace Corps); or to serve on official church missions. Beginning with the fall 2016 data, instititions can include first-time bachelor’s-seeking (or equivalent) study abroad students who were excluded from the first-time cohort  but who have re-enrolled at the institution their second year. Student-to-faculty ratio is defined as  total FTE students (not in graduate or professional programs) divided by total FTE instructional staff (not teaching in graduate or professional programs). All data on this file is applicable only to institutions with undergraduate students. Institutions with traditional academic year calendar systems (semester, quarter, trimester or  4-1-4) report their enrolment as of October 15 or the official fall reporting date of the institution (academic year). Institutions with calendar systems that differ by program or allow continuous enrolment report students that are enrolled at any time between August 1 and October 31 (program year).  Only academic year institutions report entering class data. Institutions with short programs (less-than-one-year) will not have data on retention.

This dataset contains institutional finance data for institutions that use accounting standards established by the Financial Accounting Standards Board (FASB) . All private not-for-profit institutions are included in this file. There are some public institutions that use the FASB model and are also included. Finance data includes institutional revenues by source, expenditures by functional categories, expenditures by natural classification categories, endowments, and assets and liabilities. This information provides context for understanding the cost and resources of providing postsecondary education. It is used to calculate the contribution of postsecondary education to the gross national product. Beginning with fiscal year 2016 detailed expenditures by function and the natural classifications of fringe benefits, operations and maintenance of plant, depreciation and interest are no longer available.

This data file contains institutional finance data for private for-profit institutions that use accounting standards established by the Financial Accounting Standards Board (FASB). Finance data includes institutional revenues by source, expenditures by functional categories, expenditures by natural classification categories, and assets and liabilities. This information provides context for understanding the cost and resources of providing post secondary education. It is used to calculate the contribution of post secondary education to the gross national product. Beginning with fiscal year 2016 detailed expenditures by function and the natural classifications of fringe benefits, operations and maintenance of plant, depreciation and interest are no longer available.

This dataset contains the graduation rate status as of 2021 for the cohort of full-time, first-time degree / certificate-seeking undergraduates in both four year and two year institutions. Data for four year institutions include the number of bachelor degree-seeking students who were enrolled in 2011, the number of bachelor degree seeking students who completed any degree / certificate within 150 percent of normal time, the number who completed a bachelor's degree within 100, 125 or 150 percent of normal time, and the number of bachelor's degree-seeking students who transferred out. Data for students seeking a degree / certificate other than a bachelor's degree are also included for four year institutions. Data for two year institutions include the number of full-time, first-time students who were enrolled in 2014, the number of students who completed any degree / certificate within 100 or 150 percent of normal time and the number of students who transferred out. This file has multiple records per institution. Records are uniquely defined by the variables IPEDS ID (UNITID), and the cohort and graduation status within the cohort (GRTYPE). Each record will contain the above data by gender and race / ethnicity. Note: The number of students who completed a degree / certificate within 100 percent of normal time is not available by race / ethnicity and gender. "This file contains the graduation rate status as of August 31, 2017 for the cohort of full-time, first-time degree / certificate-seeking undergraduates in both four year and two year institutions. Data for four year institutions include the number of bachelor degree-seeking students who were enrolled in 2011, the number of bachelor's degree seeking students who completed any degree / certificate within 150 percent of normal time, the number who completed a bachelor's degree within 100, 125 or 150 percent of normal time, and the number of bachelor's degree-seeking students who transferred out . Data for students seeking a degree / certificate other than a bachelor's degree are also included for four year institutions. Data for two year institutions include the number of full-time, first-time students who were enrolled in 2014, the number of students who completed any degree / certificate within 100 or 150 percent of normal time and the number of students who transferred out. This file has multiple records per institution. Records are uniquely defined by the variables IPEDS ID (UNITID), and the cohort and graduation status within the cohort (GRTYPE). Each record will contain the above data by gender and race / ethnicity. Note: The number of students who completed a degree / certificate within 100 percent of normal time is not available by race / ethnicity and gender.

This dataset contains the number of staff, total salary outlays and average salaries of full-time, nonmedical, instructional staff by academic rank, number of months worked, and gender. The categories for number of months worked are 9-, 10-, 11- and 12-months. Number of staff working less than 9 months are also available, but salary data are not available for this group. Equated 9-month salary outlays and equated 9-month average salaries are also available by academic rank and gender. For details see the variables listed in the description tab. This data file has multiple records for each institution. Each record is uniquely defined by the variables IPEDS ID (UNITID), and the variable academic rank (ARANK) of full-time instructional staff. "This dataset contains the number of staff, total salary outlays and average salaries of full-time, nonmedical, instructional staff by academic rank, number of months worked, and gender. The categories for number of months worked are 9-, 10-, 11- and 12-months. Number of staff working less than 9 months are also available, but salary data are not available for this group. Equated 9-month salary outlays and equated 9-month average salaries are also available by academic rank and gender. For details see the variables listed in the description tab. This data file has multiple records for each institution. Each record is uniquely defined by the variables IPEDS ID (UNITID), and the variable academic rank (ARANK) of full-time instructional staff. Number of staff working less than 9 months are also available, but salary data are not available for this group. Equated 9-month salary outlays and equated 9-month average salaries are also available by academic rank and gender. For details see the variables listed in the description tab. This data file has multiple records for each institution. Each record is uniquely defined by the variables IPEDS ID (UNITID), and the variable academic rank (ARANK) of full-time instructional staff. Number of staff working less than 9 months are also available, but salary data are not available for this group. Equated 9-month salary outlays and equated 9-month average salaries are also available by academic rank and gender. For details see the variables listed in the description tab. This data file has multiple records for each institution. Each record is uniquely defined by the variables IPEDS ID (UNITID), and the variable academic rank (ARANK) of full-time instructional staff. Between 2012 and 2015 salary information were not available by number of months worked. Equated 9-month average salaries were available, but because of the lack of detailed salary data by the number of months worked, it is not consistent with equated 9-month salary data generated in 2016.  Prior to 2012, number of staff and salary information were available for 9/10 months worked and 11/12 months worked. Equated 9-month average salaries and equated 9-month salary outlays were available and is more consistent with the 2016 equated salaries. Prior to 2016 the number of months worked were referred to as contract lengths. In 2016, the salary survey collection screens used the "" number of months worked "" terminology.    This dataset also contains the number and salary outlays for full-time, nonmedical, non-instructional staff by occupational category

Unduplicated head count: Unduplicated head count of students enrolled over a 12-month period for both undergraduate and graduate levels. These enrollment data are particularly valuable for institutions that use non-traditional calendar systems and offer short-term programs. Because this enrollment measure encompasses an entire year, it provides a more complete picture of the number of students these schools serve. Instructional activity: Instructional activity measured in total credit and/or contact hours delivered by institutions during a 12-month period.  The credit hour and contact hour activity data are used to derive 12-month full-time equivalent (FTE) enrollments for both undergraduate and graduate levels. The graduate level does not include credit hours for doctoral professional practice students.

Wage and salary workers paid hourly rates with earnings at/below the prevailing federal minimum wage, U.S.

Original data link: https://knoema.com/BLS_LA/local-area-unemployment-statistics-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 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 data set covers Monthly and Annual milk COP estimates by State. Estimates since 2016 are based on the 2016 Agricultural Resource Management Survey (ARMS) data from milk producers. Estimates for 2010 through 2015 are based on the 2010 and estimates for 2005 through 2009 are based on the 2005 ARMS data from milk producers

The USGS Mineral Resources Program (MRP) provides scientific information for objective resource assessments and unbiased research results on mineral potential, production, consumption, and environmental effects. The MRP is the sole Federal source for this information. Values of 2019 are estimated.

Data cited at: (https://www.numbeo.com/cost-of-living/historical-prices-by-city?displayCurrency=USD&year=2016&itemId=13)

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

National Patterns of R&D Resources provides current data on the levels and key trends of the performance and funding of research and experimental development (R&D) in the United States. The National Patterns statistics draw primarily from NCSES's national surveys of the R&D expenditures and funding of the organizations that perform the bulk of U.S. R&D—including businesses, federal and nonfederal government, higher education, and other nonprofit organizations. Additional details on levels and trends are provided by type of R&D performed (i.e., basic research, applied research, and experimental development). The National Patterns data are reported in both current and inflation-adjusted dollars, with comparisons to the historical record for U.S. R&D (back to 1953) and to the corresponding pace of overall U.S. economic growth.

(CDC ID's: s5s8-d82d ,4y34-2pku) NNDSS - Table II. Babesiosis to Campylobacteriosis - 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 years 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.

This entry gives the total number of airports or airfields recognizable from the air. The runway(s) may be paved (concrete or asphalt surfaces) or unpaved (grass, earth, sand, or gravel surfaces) and may include closed or abandoned installations. Airports or airfields that are no longer recognizable (overgrown, no facilities, etc.) are not included. Note that not all airports have accommodations for refueling, maintenance, or air traffic control.

Occupation Employment StatisticsDimensionsData TypeArea TypeAreaStateSectorIndustryOccupationSeasonal

Index Period: January 4th - January 31st Indexing Type: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 1 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division.

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

Passenger (enplanement) and cargo data is extracted from the Air Carrier Activity Information System (ACAIS), a database that contains revenue passenger boarding and all-cargo data. The database supports the FAA's Airport Improvement Program (AIP) apportionment formula calculations. More about the collection and use of passenger and all-cargo data » Passenger boarding and all-cargo data is collected for a full calendar year and determines AIP entitlements for the next full fiscal year (i.e., calendar year 2018 data determines Fiscal Year 2020 entitlement funds).

This dataset presents the measure of participation and performance that shows success on the Advanced Placement(AP) Exam. It represents only U.S. public school students. Source: https://www.fldoe.org/core/fileparse.php/5673/urlt/21FLAPCohortDataReport.pdf

In March 2011, starting with 2009 data, FHWA implemented an enhanced methodology for estimating registered vehicles and vehicle miles traveled by vehicle type. In addition, updates were made to 2000 through 2008 data using this methodology. As a result of FHWA's changes, involvement rates may differ, and in some cases significantly , from previously published rates.

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).

This dataset contains county-level returns for presidential elections from 2000 to 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

Prosperity Now Scorecard presents a comprehensive resource for data on household's financial health, racial economic inequality and policy recommendations to help put everyone in the country on a path to prosperity.

Deaths involving coronavirus disease 2019 (COVID-19), pneumonia and influenza reported to NCHS by place of death and state, United States.

Regional Crime Statistics of U.S.

The Regional database contains annual data from 1995 to the most recent available year (generally 2022 for demographic and labor market data, 2021 for regional accounts, innovation and social statistics). 

The Regional database contains annual data from 1995 to the most recent available year (generally 2018 for demographic and labor market data, 2017 for regional accounts, innovation and social statistics). The data collection is undertaken by the Center for Entrepreneurship, SMEs, Regions and Cities (CFE). Statistics are collected through an annual questionnaire sent to the delegates of the Working Party on Territorial Indicators (WPTI), and via downloads from the web-sites of National Statistical Offices and Eurostat

The Regional Database contains annual data from 1995 to the most recent available year. The data collection is undertaken by the Directorate of Public Governance and Territorial Development, within the Regional Development Policy division (GOV/RDP). Statistics are collected through an annual questionnaire sent to the delegates of the Working Party on Territorial Indicators (WPTI), and through access to the web-sites of National Statistical Offices and Eurostat. The WPTI is responsible for developing regional (subnational) and urban statistics and providing analysis to support policy evaluations. The Regional Database includes statistics on the regional distribution of resources, regional disparities, and how regions contribute to national growth and the well-being of society. Under this framework, the Regional Database is one of the pillars for providing indicators to the publication OECD Regions at a Glance (link).

The Regional Database contains annual data from 1995 to the most recent available year (generally 2016 for demographic, 2015 for labor market data and 2014 for regional accounts, innovation and social statistics).

Note:  The dataset is combination of two following datasets. https://www2.census.gov/programs-surveys/popest/tables/2020-2021/state/detail/https://knoema.com/USRAGE2013/ https://www2.census.gov/programs-surveys/popest/tables/2020-2021/state/detail/https://knoema.com/USRSD2013/  

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.

General Revenue-Related Funds Fiscal 2021 Data on net state revenue collections deposited to general revenue-related funds, both by month of collection and type of revenue source. General revenue-related funds affect the discretionary spending detailed in the General Appropriation Act, and consist of the General Revenue Fund, Available School Fund, State Technology Instructional Materials Fund, Foundation School General Revenue Dedicated Account and General Revenue Dedicated Account related to the Tobacco Settlement.

Data cited at: Baker Hughes Rig Count   Note: For 2017 and 2018, original data was adjusted to include annual values, which are the averages of the monthly values.   Rotary Rig:  A rotary rig rotates the drill pipe from surface to drill a new well (or sidetracking an existing one) to explore for, develop and produce oil or natural gas. The Baker Hughes Rotary Rig count includes only those rigs that are significant consumers of oilfield services and supplies and does not include cable tool rigs, very small truck mounted rigs or rigs that can operate without a permit. Non-rotary rigs may be included in the count based on how they are employed. For example, coiled tubing and workover rigs employed in drilling new wells are included in the count.

Note: ACS 1-Year Estimates. United States: School Enrollment 

This dataset has indicators related to Graduate students and Postdoctoral appointees in US Science, Engineering and Health institutions. The Graduate Students and Post doctorates in Science and Engineering survey is an annual census of all U.S. academic institutions granting research-based master’s degrees or doctorates in science, engineering, and selected health fields as of fall of the survey year. The survey, sponsored by the National Science Foundation and the National Institutes of Health, collects the total number of graduate students, postdoctoral appointees, and doctorate-level non faculty researchers by demographic and other characteristic such as source of financial support. Results are used to assess shifts in graduate enrollment and postdoc appointments and trends in financial support.   Courtesy: National Science Foundation

The SIFMA Fact Book is an annual reference containing comprehensive data on the securities industry, capital markets, market activity, investor participation, global markets, savings and investment, and much more. Note: 2018 and 2019 data is projection data

Data cited at: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Socio-Demographic Index (SDI) 1950–2019. Seattle, United States of America: Institute for Health Metrics and Evaluation (IHME), 2020.

State-level Data for Understanding Child Welfare in the United States. This dataset provides comprehensive information about child welfare resource provides state and national data on child maltreatment, foster care, adoption from foster care and kinship caregiving. The data are crucial to policymakers for understanding how many children and youth came in contact with the child welfare system, and why.  States can use this resource to ensure their child welfare systems support the safety, stability, and well-being of all families in their state.

NAM stands for The National Association of Manufacturers Note Annual reports are released twice per year.Initial report in the month of March.Revised report in the month of October.

Volatility scores for each state’s overall tax revenue and specific tax sources were calculated using the U.S. Census Bureau’s State Government Tax Collections historical data series from fiscal 2001 to 2021. Data were adjusted to control for the effects of tax policy changes using the National Conference of State Legislatures’ State Tax Actions reports for fiscal 2001 to 2021.

The Tax Foundation’s State Business Tax Climate Index is designed to show how well states structure their tax systems and provides a road map for improvement. A rank of 1 is best, 50 is worst. The latest values shows the tax systems as of July 1, 2021 (the beginning of Fiscal Year 2022) Note-District of Columbia (DC)’s score and rank do not affect other states

This dataset presents internationally comparable data on (full-time) salaries of teachers and school heads in public institutions at pre-primary, primary and general (lower and upper) secondary education. Statutory salaries are displayed by level of education, Data also include other statistics related to salaries of teachers.

THE REDEFINED AMERICAN AUTO INDUSTRY, a report produced by the Association of Global Automakers and the American International Automobile Dealers Association, demonstrates the economic impact of international automakers and dealerships on the US economy.    THE REDEFINED AMERICAN AUTO INDUSTRY showcases the reality of today's vibrant and growing US auto industry. The global array of companies represented in the report all share the same commitment to developing new technologies to provide safer, more efficient vehicles and expanding consumer choice   ASSOCIATION OF GLOBAL AUTOMAKERS The Association of Global Automakers represents international motor vehicle manufacturers, original equipment suppliers, and other automotive-related trade associations. Our global perspective has led us to approach every issue collaboratively by working with industry leaders, legislators, regulators, and other stakeholders to create the kind of public policy that improves vehicle safety, encourages technological innovation, and protects our planet. Our goal is to foster an open and competitive automotive marketplace that encourages investment, job growth, and development of more vehicles that enhance Americans' quality of life. The Association has served as the voice of automobile manufacturers from around the world since 1961 under various names.    TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

The TomTom Traffic Index is published to provide drivers, industry and policy makers with unbiased information about congestion levels in urban areas. Now in its 6th year, we’re offering even more insight into why our urban centers are congested, putting the issue into context, and offering ideas about how the problem can be alleviated. This year, TomTom is also celebrating those cities that deserve special recognition for their efforts to beat traffic congestion, with the TomTom Traffic Index awards.

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/  

This Dataset describes about the population estimates.

Fuel ethanol production facilities capacity and utilization rates are as of January of the year except 2018. For 2019 data is January 2019.

Data cited at: NASBO - https://www.nasbo.org/mainsite/reports-data/state-expenditure-report

Reporting of new Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. According to the source, this dataset will receive a final update on June 1, 2023, to reconcile historical data.

The US Presidential election takes place every 4 years and Congressional election happens every 2 years. National elections generally fall into two categories: elections where congressional seats are the highest offices decided and years where voters decide on the office of the President and congressional seats.To avoid confusion with presidential elections, the source refers to non-presidential year elections as “congressional elections" and the data is published at 4 years interval Reference link: https://www.census.gov/library/publications/2015/demo/p20-577.html

The taxes and other fees on retail gasoline and diesel fuel, in cents per gallon, as of January 1, 2023   Federal taxes include excises taxes of 18.3 cents per gallon on gasoline and 24.3 cents per gallon on diesel fuel, and a Leaking Underground Storage Tank fee of 0.1 cents per gallon on both fuels. State taxes include rates of general application including, but not limited to, excise taxes, environmental taxes, special taxes, and inspection fees, but exclude state taxes based on gross or net receipts. State taxes do not include county and local taxes. This information is for general informational purposes only. Sources: State and Territorial statutes and government agencies.

The National Science Foundation Act of 1950, as amended, requires that the National Science Foundation initiate and maintain a program for the determination of the total amount of money for scientific and engineering research, including money allocated for the construction of the facilities wherein such research is conducted, received by each educational institution and appropriate nonprofit organization in the United States, by grant, contract, or other arrangement from agencies of the Federal Government, and to report annually thereon to the President and the Congress. To fulfill this requirement, NSF’s National Center for Science and Engineering Statistics has used the data collection system originally designed by the Committee on Academic Science and Engineering of the Federal Council for Science and Technology. Through its Survey of Federal Science and Engineering Support to Universities, Colleges, and Nonprofit Institutions, NCSES annually collects statistical data from the 19 federal agencies that account for virtually all support for science and engineering (S&E) research and development at educational institutions. Data are also collected on these agencies' obligations to nonprofit institutions. Since its inception, this survey system has been the sole source of data on federal funding to individual institutions for S&E activities and, therefore, attracts a wide audience. These data provide information that enables users to examine patterns of support for individual institutions over time and to compare such patterns with those of other institutions.   Courtesy: National Science Foundation

US Firearms Trace Data

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.

The Yearbook of Immigration Statistics is a compendium of tables that provides data on foreign nationals who, during a fiscal year, were granted lawful permanent residence (i.e., admitted as immigrants or became legal permanent residents), were admitted into the United States on a temporary basis (e.g., tourists, students, or workers), applied for asylum or refugee status, or were naturalized.

Data updates are released on every Thursday.

U.S. Non-Employer Statistics (NES)

Dataset series are broadly classified into 4 major categories: States; Census Regions;BEA Regions;Federal Reserve Districts. Note: This dataset excludes county & MSAs.

The State Energy Data System (SEDS) is the U.S. Energy Information Administration's (EIA) source for comprehensive State energy statistics. Included are estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Production and consumption estimates begin with the year 1960 while price and expenditure estimates begin with 1970.

U.S. Road and Bridge statistics by State

Data cited at:  Kauffman Indicators of Entrepreneurship Kauffman Indicators of Entrepreneurship The Kauffman Indicators of Entrepreneurship offers in-depth measures, reports, and accompanying interactive data visualizations that present entrepreneurial trends in the United States.

1). U.S. Gross Output: Gross output is the value of gross domestic product (GDP) plus the value of intermediate inputs used to produce GDP 2). Implicit Price Deflator: The gross domestic product implicit price deflator is used to convert nominal dollars to chained (2009) dollars.

Note: This dataset presents the weekly unemployment insurance (UI) claims reported by each state's unemployment insurance program offices. These claims may be used for monitoring workload volume. Where the claimant claims the claim is filed directly with the claimant. These are the basis for the initial claims and continued claims reported each week. These data come from ETA 538, Advance Weekly Initial and Continued Claims Report. The following week initial claims and continuing claims are based on a second reporting by the state of residence. These data come from the ETA 539, Weekly Claims and Extended Benefits Trigger Data Report.

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.

The HPI is a broad measure of the movement of single-family house prices. The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancing's on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.

Annual Estimates of the Resident Population by Sex, Race, and Hispanic Origin for the United States, States, and Counties: April 1, 2010 to July 1, 2021

The US venture capital (VC) industry had a record year in 2020. Despite headwinds from the COVID-19 pandemic and the worst recession since the Great Depression, the VC industry posted records for fundraising, investments, and exits. For the third consecutive year, high-growth startups raised more than $130 billion, and 2020 represented the fourth straight year where more than 10,000 venture-backed companies received an investment. At the end of 2020, 1,965 VC firms managed 3,680 venture funds and had approximately $548 billion in US venture capital assets under management (AUM), as well as a record $151 billion in dry powder heading into 2021. In 2020, the US remained the destination for about half of global VC investment dollars, attracting 51% of global capital invested. This year’s share of global investment is up slightly from the 49% reported for 2019 and is eight percentage points higher than the most recent low of 43% in 2018. However, these percentages stand in stark contrast to the 83% global share the US garnered in 2004, when the US held dominant sway over investors, and serves as a good reminder that capital and talent are everywhere.

  For the following indicators, Knoema modified the original reported values by multiplying by 100 to display in percent value in accordance with the WID unit labels: Capital share of national incomeIncome reduction as a result of income taxLabor share of national incomeNet Corporate Wealth to Net National Income RatioNet national wealth to Net National Income RatioNet Non-Profit Wealth to Net National Income RatioNet Personal Wealth to Net National Income RatioNet Private Wealth to Net National Income RatioNet Public Wealth to Net National Income Ratio

  Zillow Home Value Index (ZHVI) for Metro & U.S and Statewise data. A smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. Zillow publishes top-tier ZHVI ($, typical value for homes within the 65th to 95th percentile range for a given region) and bottom-tier ZHVI ($, typical value for homes that fall within the 5th to 35th percentile range for a given region). Zillow also publishes ZHVI for all single-family residences ($, typical value for all single-family homes in a given region), for condo/coops ($), for all homes with 1, 2, 3, 4 and 5+ bedrooms ($), and the ZHVI per square foot ($, typical value of all homes per square foot calculated by taking the estimated home value for each home in a given region and dividing it by the home’s square footage).

Zillow Observed Rent Index (ZORI): A smoothed measure of the typical observed market rate rent across a given region. ZORI is a repeat-rent index that is weighted to the rental housing stock to ensure representativeness across the entire market, not just those homes currently listed for-rent. The index is dollar-denominated by computing the mean of listed rents that fall into the 40th to 60th percentile range for all homes and apartments in a given region, which is once again weighted to reflect the rental housing stock.