Oregon

Average commute time per commuter Source:American Community Survey 1-Year Estimates Source Table: S0801

Note: ACS 1-Year Estimates 

Means of Transportation To Work by Age Universe: Workers 16 Years and Over More Information 2005 American Community Survey

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

Data cited at: CNBC Around 50 states have been assigned score on more than 60 measures of competitiveness which are  developed with input from a broad and diverse array of business and policy experts, official government sources, the CNBC Global CFO Council and the states themselves. States receive points based on their rankings in each metric. Then we separate those metrics into 10 broad categories, weighted based on how frequently each is used as a selling point in state economic development marketing materials. That way, our study ranks the states based on the criteria they use to sell themselves. This year some states were tied http://www.cnbc.com/top-states-past-year-rankings/  

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.

Data Dictionary: https://github.com/wri/Aqueduct40/blob/master/data_dictionary_country-rankings.md#country-future  

The 10th biennial TEConomy/BIO report focuses on the economic footprint of the industry geographically including the latest trends in the bioscience industry for the nation, states, and metropolitan areas. 

Sugar Data of United States

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

This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau

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. 

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

The Federal Reserve Bank of Philadelphia produces a monthly coincident index for each of the 50 states. The indexes are released a few days after the Bureau of Labor Statistics (BLS) releases the employment data for the states. The Bank issues a release each month describing recent trends in the state indexes, with special coverage of the three states in the Third District: Pennsylvania, New Jersey, and Delaware. The coincident indexes combine four state-level indicators to summarize current economic conditions in a single statistic. The four state-level variables in each coincident index are nonfarm payroll employment, average hours worked in manufacturing by production workers, the unemployment rate, and wage and salary disbursements plus proprietors' income deflated by the consumer price index (U.S. city average). The trend for each state’s index is set to the trend of its gross domestic product (GDP), so long-term growth in the state’s index matches long-term growth in its GDP. A dynamic single-factor model is used to create the state indexes. James Stock and Mark Watson developed the basic model for constructing a coincident index for the U.S. Theodore Crone and Alan Clayton-Matthews adapted the basic model for the states. The method involves a system of five major equations: one equation for each input variable and one equation for an underlying (latent) factor that is reflected in each of the indicator (input) variables. The underlying factor represents the state coincident index. The model and the input variables are consistent across the 50 states, so the state indexes are comparable to one another.

Combined Statistical Area Population Estimates, U.S.

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  

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

These Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Data cited at: Homebase https://joinhomebase.com/data/covid-19/. This dataset is based on Homebase data covering 60,000 businesses and 1 million hourly employees active in these metropolitan areas in January 2020.   All the rates compare that day vs. the median for that day of the week for the period Jan 4, 2020 – Jan 31, 2020. In other words, they show the extent to which Covid-19 has impacted Main St. as compared to pre-Covid levels. 

Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by race, age, and state.   Number of deaths reported in this dataset are the total number of 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.

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

Educational Attainment, U.S.

The dataset is about reported electric emergency incidents and disturbances. Note: This dataset is collected from "https://knoema.com/eqdpivf" using aggregation method present in knoema.

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

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.

These annual statistics provide information on the amount and characteristics of new investments in the United States by foreign investors, including information on the acquisition and establishment of U.S. business enterprises by foreign investors and on the expansion of existing U.S. affiliates of foreign companies to establish new production facilities. 

This product summarizes fertilizer consumption in the United States by plant nutrient and major fertilizer products—as well as consumption of mixed fertilizers, secondary nutrients, and micro nutrients—for 1960 through the latest year for which statistics are available. The share of planted crop acreage receiving fertilizer, and fertilizer applications per receiving acre (by nutrient), are presented for the major producing States for corn, cotton, soybeans, and wheat (data on nutrient consumption by crop start in 1964). 

The FMHPI provides a measure of typical price inflation for houses within the United States. Values are calculated monthly and released at the end of the following month. For example, the FMHPI for March is published in late April. Seasonally and non-seasonally adjusted series are available at three levels of geographical aggregation: Metropolitan Statistical Area (MSA), state, and national. All series begin in January 1975. The national index is defined as a weighted average of the 50 states and Washington, D.C. indices. The FMHPI is based on an ever-expanding database of loans purchased by either Freddie Mac or Fannie Mae. Data cited at: Freddie Mac-http://www.freddiemac.com/research/indices/house-price-index.page#:~:text=Freddie%20Mac%20House%20Price%20Index,is%20published%20in%20late%20April

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)

Health Insurance in the United States

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

These annual national indexes should be considered developmental. As with the standard FHFA HPIs, revisions to these indexes may reflect the impact of new data or technical adjustments. Indexes are calibrated using appraisal values and sales prices for mortgages bought or guaranteed by Fannie Mae and Freddie Mac. Index values always reflect data from that year. Three HPI values are provided and, since the indexes reflect cumulative appreciation since a certain period, the values reflect the base year being used (annual appreciations are the same). 

US Regional Households

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

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.

Data cited at: Prof.Prof. Lauren Gardner; Center for Systems Science and Engineering at John Hopkins University, blog Post -  https://systems.jhu.edu/research/public-health/ncov/   On December 31, 2019, the World Health Organization (WHO) was informed of an outbreak of “pneumonia of unknown cause” detected in Wuhan City, Hubei Province, China – the seventh-largest city in China with 11 million residents. As of February 04, 2020, there are over 24,502 cases confirmed globally, including cases in at least 30 regions in China and 30 countries.  Interests: In-Market Segments Knoema All Users   Knoema modified the original dataset to include calculations per million.   https://knoema.com/WBPEP2018Oct https://knoema.com/USICUBDS2020 https://knoema.com/NBSCN_P_A_A0301 https://knoema.com/IMFIFSS2017Nov https://knoema.com/AUDSS2019 https://knoema.com/UNAIDSS2017 https://knoema.com/UNCTADPOPOCT2019Nov https://knoema.com/WHOWSS2018 https://knoema.com/KPMGDHC2019

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

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.

Metropolitan and Micropolitan Statistical Area Population Estimates, U.S.

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.

State Minimum Wage Laws - Basic Minimum Rate, United States

Note: The source has discontinued this dataset with note-"With the discontinuation of the database that is the input for the MEI, we will no longer update the index after March 31, 2021. For questions, please contact Tyler Atkinson ( [email protected] < [email protected]>;)"   The Dallas Fed Mobility and Engagement Index (formerly the “Social Distancing Index”) summarizes the information in seven different variables based on geolocation data collected from a large sample of mobile devices to gain insight into the economic impact of the pandemic. The Mobility and Engagement Index measures the deviation from normal mobility behaviors induced by COVID-19. The updated name recognizes that social distancing, or the limiting of close contact with others outside your household, can be practiced while mobility and engagement improve. Along with revising the index’s name, we also changed the sign of the index to make it more intuitive as a measure of mobility and engagement. The underlying data is provided by SafeGraph. The national series is aggregated from county-level data with device counts as weights. Similar for the states. In the county files, the county name is in the first row, with FIPS code in the variable name. MSA data are for metro statistical areas (MSA), aggregated from county data using the March 2020. MSA names are in the first row, and CBSA codes in the variable name. The index is scaled so that the average of January-February is zero, and the lowest weekly value (week ended April 11) is -100. File names including 'weekly' are averages of the daily data. The data corresponds to the last day of the calendar week.

We define our day as midnight-to-midnight, Pacific time. Cities represent usage in greater metropolitan areas and are stably defined during this period. In many countries/regions and cities, relative volume has increased since January 13th, consistent with normal, seasonal usage of Apple Maps. Day of week effects are important to normalize as you use this data. Data that is sent from users’ devices to the Maps service is associated with random, rotating identifiers so Apple doesn’t have a profile of your movements and searches. Apple Maps has no demographic information about our users, so we can’t make any statements about the representativeness of our usage against the overall population. This information will be available for a limited time during the COVID‑19 pandemic.

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.

Data cited at: AllClear.App-https://home.allclear.app/  

Independent Inventor Utility Patents by Country, State and Year An independent inventor patent is a patent that has ownership that is unassigned or assigned to an individual at the time of grant i.e. ownership of the patent is not assigned to an organization. some U.S. origin patents are assigned to foreign individuals while some foreign origin patents are assigned to U.S. individuals. Therefore, the sum of counts of U.S. origin independent inventor patents usually will not equal the sum of counts of patents owned by "U.S. individuals" and the sum of counts of "foreign origin" independent inventor patents usually will not equal the sum of counts of patents owned by foreign individuals.

Occupational Injuries and Illnesses Industry Data (IS)DimensionsData TypeAreaSupersectorIndustryCase TypeSeasonal

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

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).

Note: Effective September 27, 2023, this dataset will no longer be updated. Deaths involving coronavirus disease 2019 (COVID-19), pneumonia and influenza reported to NCHS by place of death and state, United States.

Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by sex and age group and state.   Number of deaths reported in this table are the total number of 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.

Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county.   Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Counties included in this table have 10 or more COVID-19 deaths at the time of analysis. Number of deaths reported in this table are the total number of 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 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

Data cited at: Refugee Processing Center   FY - Fiscal Years have been used (since October until September). Data for 2017 include the last available values.  The Refugee Processing Center (RPC) is operated by the U.S Department of State (DOS) Bureau of Population, Refugees, and Migration (PRM) in the Rosslyn section of Arlington, Virginia USA.  At the RPC and at Resettlement Support Centers (RSCs), an interactive computer system called the Worldwide Refugee Admissions Processing System (WRAPS) is used to process and track the movement of refugees from various countries around the world to the U.S. for resettlement under the U.S. Refugee Admissions Program (USRAP). Fiscal years 2008 through 2019 as of june 30,2019. . Fiscal Years 2008 through 2019 as of june 30,2019. >> Annual data is Fiscal year data and October is the year starting 

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

American Community Survey 1-Year Estimates - State-to-State Migration Flows

 Change in seated diners by month / day, 2024 vs. 2023 This table measures the volume of seated diners on a daily/monthly basis in 2024 vs. 2023. For example, in Berlin on January 8, 2024, seated diners were up 8% compared to 2023. In the monthly view, data for the current month shows the YoY change in seated diners for the month-to-date (up until one day prior to the current date). For example, if the date is January 10, 2024, the data compares January 1 – 9, 2024 to the same range in 2023.

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

The Business Formation Statistics (BFS) are an experimental data product of the U.S. Census Bureau developed in research collaboration with economists affiliated with Board of Governors of the Federal Reserve System, Federal Reserve Bank of Atlanta, University of Maryland, and University of Notre Dame. The BFS provide timely and high frequency information on new business applications and formations in the United States.

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 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.

Courtesy: National Science Foundation

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.

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.

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.

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.  

  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.