Georgia

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.

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.

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.

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

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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.

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. 

U.S. Employment by Sector -  Monthly data

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). 

International Trade in Commodities in UAE

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

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)

US Regional Households

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".

Industry Productivity and CostsDimensionsMeasureAreaSectorIndustryDurationTypeSeasonal

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. 

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.

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

The living wage shown is the hourly rate that an individual must earn to support their family, if they are the sole provider and are working full-time (2080 hours per year). All values are per adult in a family unless otherwise noted. The state minimum wage is the same for all individuals, regardless of how many dependents they may have. The poverty rate is typically quoted as gross annual income. We have converted it to an hourly wage for the sake of comparison.

Original data link: https://knoema.com/BLS_LA/local-area-unemployment-statistics-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.

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.

U.S. Census Bureau - National Population Totals, State wise, U.S

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.

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).

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/  

Educational attainment in a science, engineering, or technology (SET) field gives people greater opportunities to work in higher-paying technical jobs than are generally available to those in other fields of study. Earning an associate's degree in an SET field also prepares an individual for more advanced technical education. This indicator represents the extent to which a state provides associate's level training in SET fields, controlling for the size of its college-age population. The cohort 18–24 years old was chosen to approximate the age range of most students who are pursuing an associate's degree. The National Center for Education Statistics counts the number of associate's degrees awarded in SET fields; these data include degrees in science and engineering technology fields that are not included with other similar indicators where only S&E fields are included. Associate's degrees are awarded at both 2-year and 4-year institutions in the United States, and there may be regional variations in the degree awards, based on the relationship of these institutions to each other in each state. Estimates of the population aged 18–24 years old are provided by the U.S. Census Bureau. Small differences in the indicator value between states or across time generally are not meaningful. Because students may move across state lines after receiving their associate's degrees, this indicator does not necessarily predict the qualifications of a state's future technical workforce.

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

SOMA collects and reports data on how quickly new construction of multifamily units with 5 or more units are absorbed (Sold or rented). Reports in this section are based on the quarter and the year of absorption of units three 3 months after completion. Quarterly Estimates of Absorption Rates - (Privately-financed, non subsidized, unfurnished units)

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 describes about the population estimates.

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

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 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.

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. Regional Population, Census Data

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.

Coronavirus in the United States

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

  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).