Download Virginia NHD File GDB 350 MB - NHD Downloads Directory - NHD Product PageThe National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system.

Graph and download economic data for Resident Population in Virginia (VAPOP) from 1900 to 2023 about VA, residents, population, and USA.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

Graph and download economic data for Unemployment Rate in Virginia (VAUR) from Jan 1976 to Feb 2024 about VA, unemployment, rate, and USA.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

Graph and download economic data for Per Capita Personal Income in Virginia (VAPCPI) from 1929 to 2023 about VA, personal income, per capita, personal, income, and USA.

The VA_TOWN dataset is a feature class component of the Virginia Administrative Boundaries dataset from the Virginia Geographic Information Network (VGIN). VA_COUNTY represents the best available city and county boundary information to VGIN.VGIN initially sought to develop an improved locality and town boundary dataset in late 2013, spurred by response of the Virginia Administrative Boundaries Workgroup community. The feature class initially started from the locality boundaries from the Census TIGER dataset for Virginia. VGIN solicited input from localities in Virginia through the Road Centerlines data submission process as well as through public forums such as the Virginia Administrative Boundaries Workgroup and VGIN listservs. Data received were analyzed and incorporated into the VA_COUNTY feature class where locality data were a superior representation of the city or county boundary.

© Virginia Geographic Information Network (VGIN), and the Census and Localities and Towns submitting data to the project

This layer is a component of Feature classes representing locality (county, city, and town) boundaries in the Commonwealth of Virginia..

USAFacts -- In 2022 (most recent), Gross domestic product (GDP) was 649392600000.0 in the United States for Virginia (state). This increased by 44,435,000,000 or 7.35% from 2021. Highest: 649,392,600,000 in 2022. Lowest: 215,101,700,000 in 1997.

Graph and download economic data for Housing Inventory: Active Listing Count in Virginia (ACTLISCOUVA) from Jul 2016 to Feb 2024 about active listing, VA, listing, and USA.

The Northern Virginia Data Center Market is segmented by DC Size (Small, Medium, Large, Massive, Mega), Tier Type (Tier 1&2, Tier 3, Tier 4), Absorption (Utilized (Colocation Type (Retail, Wholescale, Hyperscale), End User (Cloud & IT, Telecom, Media & Entertainment, Government, BFSI, Manufacturing, E-Commerce)), and Non-Utilized). The market sizes and forecasts are provided in terms of volume (MW) for all the above segments.

U.S. Census Bureau QuickFacts statistics for Virginia. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

This dataset includes all content and structural components for the project Redlining Virginia (http://redliningvirginia.org/). The purpose is to provide a description of the original project, a description of the preservation package, and any specialized software to open any component with the potential for reuse, reconstruction, or recreation. Project Description: “Congress created the Home Owners' Loan Corporation (HOLC) in 1933 to rescue the real estate industry and restructure the home mortgage market. In the process, HOLC also strengthened residential racial segregation. HOLC promoted racial covenants on deeds to prevent mixed-race neighborhoods and created color-coded maps of American cities that made race a key element in assessing financial risk. This exhibit explores the actions of HOLC in Virginia and its impact on Virginia cities.”Additional Redlining mappings that extend beyond Virginia and West Virginia regions can be found at https://doi.org/10.7294/cnha-n469.

RealClearPolitics - Election 2021 - Virginia Governor - Youngkin vs. McAuliffe

REST Endpoint Additional Resources:Routable RCL With Network Dataset GDBShapefile DownloadRoad Centerline Data StandardArcGIS LYR FileHistorical RCL & Ancillary Centerlines - Contact VGINThe Virginia Geographic Information Network (VGIN) has coordinated and manages the development of a consistent, seamless, statewide digital Road Centerline (RCL) geospatial database as part of the Virginia Base Mapping Program (VBMP) which includes address ranges, road names, network routing elements, and specific VDOT business elements. The Road Centerline Program (RCL) leverages the Commonwealth's investment in VBMP digital orthophotography and is focused on creating a single statewide, consistent digital road file. The RCL data layer is a dynamic dataset supported and maintained by Virginia's Local Governments, VDOT, and VGIN through VGIN efforts. VBMP RCL is extracted and provided back to local governments and state agencies in many geographic data sets every quarter. You can download the most recent RCL using the "Download" image above and also at the following resource locations.GDB Version: 10.6.1View Road Centerlines in ArcGIS Online Web Map

The Virginia Scenic Rivers Program was enabled by the Virginia Scenic Rivers Act of 1970. Within Loudoun County are two Virginia-designated scenic rivers - Catoctin Creek from Waterford to the confluence of the Potomac, and Goose Creek from the confluence of the north and south prongs near Linden to the confluence of the Potomac. These creeks are represented in the Loudoun County GIS using the base map drainage data, which is collected via a planimetric update process from aerial photography and processed for a cartographic representation at 1:2400 Scale, and are mapped to National Map Accuracy Standards (NMAS). As the designation is to the main trunk of each stream, tributaries were removed and the centerlines were dissolved by name.Updated - 2016Additional Information:Scenic Rivers Act - Catoctin Creek State Scenic RiverScenic Rivers Act - Goose Creek State Scenic RiverIf you would like more information or would like to get involved please contact the following:Catoctin Creek Scenic River Advisory CommitteeGoose Creek Scenic River Advisory Committee

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Virginia. Based on the latest 2022 1-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Virginia. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2022

In terms of income distribution across age cohorts, in Virginia, householders within the 45 to 64 years age group have the highest median household income at $107,552, followed by those in the 25 to 44 years age group with an income of $93,923. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $61,447. Notably, householders within the under 25 years age group, had the lowest median household income at $44,335.

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Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Virginia median household income by age. You can refer the same here

Unemployment Rate in Virginia was 3.00% in January of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Virginia reached a record high of 12.00 in April of 2020 and a record low of 2.10 in September of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Virginia - last updated from the United States Federal Reserve on April of 2024.

This layer presents the counties of the state of Virginia. The county boundaries are generalized to improve draw performance and be used effectively at a national level.

Graph and download economic data for Real Per Capita Personal Income for Virginia (VARPIPC) from 2008 to 2022 about VA, personal income, per capita, personal, income, real, and USA.