This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for counties and equivalent entities in United States of America. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.Processors and tools are using this data. Enhancements Add ISO 3166-3 codes. Simplify geometries to provide better performance across the services. Add administrative hierarchy.

As of April 2025, it was found that Florida and New York were the two most visited states by adults in the United States, having been visited by ** and ** percent of respondents, respectively. In contrast, only ** percent of respondents said they had visited Alaska, making it the least-visited state. What is the most visited national park in the U.S.? With approximately **** million recreational visits in 2023, the Blue Ridge Parkway was the most visited National Park Service park in the United States. The park extends *** miles through Virginia and North Carolina, connecting the Shenandoah National Park to the Great Smoky Mountains National Park. Meanwhile, the number of recreational visitors to Yellowstone National Park in 2023 was *** million, up from the previous year’s total of **** million. How many domestic leisure trips do Americans take? The number of domestic leisure trips in the U.S. amounted to **** billion in 2022. As estimated, domestic leisure travels in the U.S. dropped to *** billion in 2020. This was due to travel restrictions related to the coronavirus (COVID-19) pandemic. It is forecast that the number of leisure trips will recover gradually during the following years, reaching * billion by 2026. The number of business trips, by comparison, is forecast to reach *** million that same year.

United States - Population, Total for Small States was 20253539.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, United States - Population, Total for Small States reached a record high of 41912623.00000 in January of 2020 and a record low of 14211632.00000 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population, Total for Small States - last updated from the United States Federal Reserve on July of 2025.

This study uses historical records from 36 archives in the United States to analyze 8,437 enslaved people's sale and/or appraisal prices from 1797 to 1865.

The Religious Characteristics of States Dataset (RCS) was created to fulfill the unmet need for a dataset on the religious dimensions of countries of the world, with the state-year as the unit of observation. The third phase, Chief Executives' Religions, provides data on religious affiliations of countries' 'chief executives,' i.e., their presidents, prime ministers, or other heads of state/government exercising largely real, not ceremonial, political power. The dataset, like others in the RCS data project, is designed expressly for easy merger with datasets of the Correlates of War and Polity projects, datasets by the United Nations, the Religion And State datasets by Jonathan Fox, and the ARDA national profiles.

This dataset shows the projects that have been approved manufacturing license and/or incentives based on factory location.

This dataset provides values for UNITED STATES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The United States data center market size reached approximately USD 18.50 Billion in 2024. The market is projected to grow at a CAGR of 9.50% between 2025 and 2034, reaching a value of around USD 45.85 Billion by 2034.

Uruguay Imports from United States was US$1.1 Billion during 2023, according to the United Nations COMTRADE database on international trade. Uruguay Imports from United States - data, historical chart and statistics - was last updated on June of 2025.

State Government Tax Collections, Total Income Taxes in the United States was 649004063.00000 Thous. of $ in January of 2024, according to the United States Federal Reserve. Historically, State Government Tax Collections, Total Income Taxes in the United States reached a record high of 708270551.00000 in January of 2022 and a record low of 0.00000 in January of 1913. Trading Economics provides the current actual value, an historical data chart and related indicators for State Government Tax Collections, Total Income Taxes in the United States - last updated from the United States Federal Reserve on July of 2025.

The United States Data Center Power Market is Segmented by Component (Electrical Solutions, Services), Data Center Type (Hyperscaler/Cloud Service Providers, Colocation Providers, and More), Data Center Size (Small Size Data Centers, Medium Size Data Centers, Large Size Data Centers and More), Tier Type (Tier I and II, Tier III, Tier IV). The Market Forecasts are Provided in Terms of Value (USD)

The United States data center power market reached around USD 13.20 Billion in 2024. The market is estimated to grow at a CAGR of 6.70% during the forecast period of 2025-2034 to attain nearly USD 25.25 Billion by 2034.

House Price Index: FHFA: Expanded: United States data was reported at 239.150 Jan1991=100 in Mar 2018. This records an increase from the previous number of 236.910 Jan1991=100 for Dec 2017. House Price Index: FHFA: Expanded: United States data is updated quarterly, averaging 170.180 Jan1991=100 from Mar 1991 (Median) to Mar 2018, with 109 observations. The data reached an all-time high of 239.150 Jan1991=100 in Mar 2018 and a record low of 100.000 Jan1991=100 in Mar 1991. House Price Index: FHFA: Expanded: United States data remains active status in CEIC and is reported by Federal Housing Finance Agency. The data is categorized under Global Database’s USA – Table US.EB015: House Price Index: Expanded.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

Tunisia Imports from United States was US$655.91 Million during 2023, according to the United Nations COMTRADE database on international trade. Tunisia Imports from United States - data, historical chart and statistics - was last updated on July of 2025.

Note: After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

Note: May 3,2024: Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.

This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States as of the initial date of reporting for each weekly metric. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

Reporting information:

• As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).
• While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.
• Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.
• Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.
• Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

• County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level.
• Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hospitals within the selected HSA. Therefore, admissions, capacity, and occupancy are not limited to residents of the selected HSA.
• For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA.
• For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA.

• Time period: data for the previous MMWR week (Sunday-Saturday) will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.
• New hospital admissions (count): Total number of admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction
• New Hospital Admissions Rate Value (Admissions per 100k): Total number of new admissions of patients with laboratory-confirmed COVID-19 in the past week (including both adult and pediatric admissions) for the entire jurisdiction divided by 2019 intercensal population estimate for that jurisdiction multiplied by 100,000. (Note: This metric is used to determine each county’s COVID-19 Hospital Admissions Level for a given week).
• New COVID-19 Hospital Admissions Rate Level: qualitative value of new COVID-19 hospital admissions rate level [Low, Medium, High, Insufficient Data]
• New hospital admissions percent change from prior week: Percent change in the current weekly total new admissions of patients with laboratory-confirmed COVID-19 per 100,000 population compared with the prior week.
• New hospital admissions percent change from prior week level: Qualitative value of percent change in hospital admissions rate from prior week [Substantial decrease, Moderate decrease, Stable, Moderate increase, Substantial increase, Insufficient data]
• COVID-19 Inpatient Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 (including both adult and pediatric patients) within the in the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (patients hospitalized with confirmed COVID-19) and denominators (staffed inpatient beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction.
• COVID-19 Inpatient Bed Occupancy Level: Qualitative value of inpatient beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data]
• COVID-19 Inpatient Bed Occupancy percent change from prior week: The absolute change in the percent of staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed inpatient beds in the past week, compared with the prior week, in the entire jurisdiction.
• COVID-19 ICU Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by adult patients with confirmed COVID-19 within the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (adult patients hospitalized with confirmed COVID-19) and denominators (staffed adult ICU beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction.
• COVID-19 ICU Bed Occupancy Level: Qualitative value of ICU beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data]
• COVID-19 ICU Bed Occupancy percent change from prior week: The absolute change in the percent of staffed ICU beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed adult ICU beds for the past week, compared with the prior week, in the in the entire jurisdiction.
• For all metrics, if there are no data in the specified locality for a given week, the metric value is displayed as “insufficient data”.

Notes: June 15, 2023: Due to incomplete or missing hospital data received for the June 4, 2023, through June 10, 2023, reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and AS and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on June 15, 2023.

July 10, 2023: Due to incomplete or missing hospital data received for the June 25, 2023, through July 1, 2023, reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and AS and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on July 10, 2023.

July 17, 2023: Due to incomplete or missing hospital data received for the July 2, 2023, through July 8, 2023, reporting

The data contained in this data set were collected by a project entitled "Comparative Welfare States in the 21st Century" directed by David Brady, Evelyne Huber, and John D. Stephens. The project was supported in 2011-13 by grants from the National Science Foundation ("Collaborative Research: Comparative Welfare States: A Public Use Archival Dataset,” SES 1059959 and 1061007). Additional support was provided by the Morehead Alumni Distinguished Professorship and the Margaret and Paul A. Johnston Professorships (funding the Gerhard E. Lenski, Jr. Distinguished Professorship) in the College of Arts and Sciences at the University of North Carolina at Chapel Hill. Some further support was provided by Duke University and the WZB Berlin Social Science Center. An earlier version of this dataset was assembled by Evelyne Huber, Charles Ragin, and John Stephens in the 1990s. That project was supported in 1990-92 by a grant from the National Science Foundation (Grant # SES 9108716). Major categories include: wage and salary data, social spending, revenue and welfare state institutions data, labour force and labour institutions data, demographic data, macroeconomic data (Penn world tables, mark 6.1), political variables.

State Government Tax Collections, Death and Gift Taxes in the United States was 6903139.00000 Thous. of $ in January of 2024, according to the United States Federal Reserve. Historically, State Government Tax Collections, Death and Gift Taxes in the United States reached a record high of 8015868.00000 in January of 2023 and a record low of 109851.00000 in January of 1942. Trading Economics provides the current actual value, an historical data chart and related indicators for State Government Tax Collections, Death and Gift Taxes in the United States - last updated from the United States Federal Reserve on July of 2025.

Togo Exports to United States was US$47.83 Million during 2024, according to the United Nations COMTRADE database on international trade. Togo Exports to United States - data, historical chart and statistics - was last updated on August of 2025.

New Caledonia Exports to United States was US$41.72 Million during 2015, according to the United Nations COMTRADE database on international trade. New Caledonia Exports to United States - data, historical chart and statistics - was last updated on August of 2025.