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Datathon 2020
Federated data Data Provided by data.virginia.gov
External Link
From the Weldon Cooper Center for Public Service at the University of Virginia the "Demographics Research Group produces the official annual population estimates for Virginia and its localities; conducts practical and policy-oriented analysis of census and demographic data under contract; and communicates rigorous research and its policy implications to clients including state and local governments, employers, non-profit organizations, and the general public, through meaningful, intuitive publications, and presentations."
Tags population us census
Updated
May 22 2023
Views
4,972

Datathon 2020
Federated data Data Provided by data.virginia.gov
External Link
Tags population us census
Updated
May 22 2023
Views
1,472

Government
Federated data Data Provided by data.virginia.gov
Dataset
This table lists the overall population of each Virginia locality, as well as a breakdown of each locality's population by race. Each column's description explains the race identification. In addition, for each locality, there is a column for those who identified their ethnicity as "Hispanic or Latino Origin."
Please see note from the Census Reporter regarding race in Census data:
Census data about race is complicated. While casual language and even much reporting proceeds as if each person had exactly one race, the Census Bureau allows each person to select as many as six race options, one of which is simply "some other race." Furthermore, "hispanic/latino" is not a race, but a characteristic tracked independently. Note that hispanic respondents disproportionately choose "some other race alone": nationwide, more than 25% of hispanics make that choice, compared to a fraction of a percent of non-hispanics. (https://censusreporter.org/topics/race-hispanic/)
Tags equity dashboard locality population us census
API Docs
Updated
May 22 2023
Views
3,803

Geographic Information
Federated data Data Provided by data.virginia.gov
Dataset
This table uses U.S. Census data to create a dataset that identifies all Virginia localities as either Mostly Urban, Mostly Rural or Completely Rural. Total population and breakdown between urban and rural populations are included.
For information on the U.S. Census Bureau's use of these designations see https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural.html. (Source data for this dataset is found at this link and is titled "County Classification Lookup Table [XLS]".)
Tags equity dashboard locality population us census
API Docs
Updated
May 22 2023
Views
2,843

Economy
Federated data Data Provided by data.virginia.gov
Dataset
This dataset provides annual numbers for each state in the United States for 2013-2018. Includes the following data: total population, median income, and number of people living at or below the poverty level.
Helpful information on using U.S. Census data is found at https://censusreporter.org/
Tags equity dashboard income population poverty us census
API Docs
Updated
May 22 2023
Views
5,239

Government
Federated data Data Provided by data.virginia.gov
Dataset
This dataset includes population estimates for each Virginia locality by year, age group, sex, race and ethnicity. This estimates are produced by the National Center for Health Statistics (NCHS) within the Centers for Disease Control and Prevention (CDC), more information can be found here: https://www.cdc.gov/nchs/nvss/bridged_race.htm
Tags covid-19 datathon 2021 locality population vaccine
API Docs
Updated
November 9 2022
Views
4,330

Government
Federated data Data Provided by data.virginia.gov
Dataset
2013-2021 Virginia population by Census Block Group. Contains estimates and margins of error.
U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B01003
Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html).
The United States Census Bureau's American Community Survey (ACS):
-What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html)
-Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html)
-Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)
Although 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 are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.
Tags american community survey (acs) census block group population transportation planning us census
API Docs
Updated
February 13 2023
Views
1,220

Government
Federated data Data Provided by data.virginia.gov
Dataset
2013-2021 Virginia Population by Sex by Age by Census Block Group. Contains estimates and margins of error.
U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B01001
Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)
The United States Census Bureau's American Community Survey (ACS):
-What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html)
-Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html)
-Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)
Although 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 are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.
Tags american community survey (acs) census block group population transportation planning us census
API Docs
Updated
March 3 2023
Views
1,053

Transportation
Federated data Data Provided by data.virginia.gov
Dataset
2013-2021 Virginia Non-Single Occupancy Vehicle (SOV) Travel Percent by Census Urban Area. Contains estimates. Workers 16 years and over, commuting to work, who are NOT using a car, truck, or van when driving alone.
U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table DP03, Column DP03_0019PE
Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)
Documentation of the method to calculate Non-SOV is provided by the Federal Highway Administration
(https://www.fhwa.dot.gov/tpm/guidance/hif18024.pdf)
page 38 explains the calculation of the Non-SOV Travel measure.
Urban areas with values of -666,666,666 or 0 have blanks calculated for Non-SOV values.
The United States Census Bureau's American Community Survey (ACS):
-What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html)
-Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html)
-Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)
Although 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 are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.
Tags american community survey (acs) population transportation transportation planning urban and 1 more
API Docs
Updated
December 8 2022
Views
1,410

Government
Federated data Data Provided by data.virginia.gov
Dataset
2013-2021 Virginia Population by Race by Census Block Group. Contains estimates and margins of error.
U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B03002
Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)
The United States Census Bureau's American Community Survey (ACS):
-What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html)
-Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html)
-Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)
Although 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 are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.
Tags american community survey (acs) population transportation planning us census
API Docs
Updated
December 9 2022
Views
429