download data
This data has been made publicly available "as is" for noncommercial public use.
By downloading the data, you agree to credit "The National Association of Counties - County Explorer" if you use
the data in publications/reports, presentations, articles, or social media. For questions about the data,
please contact us at research@naco.org
Definitions
Notes
In partnership with the Elizabeth Dole Foundation (EDF), NACo is supporting the
Hidden Heroes Cities and
Counties Program, which is a growing network of cities, counties, and states working to find local solutions
to better serve military and veteran caregivers. Hidden Heroes is a multi-year, multi-faceted campaign that
brings vital attention to the untold stories of veteran and military caregivers and seeks solutions for the
tremendous challenges and long-term needs they face.
Hidden Helpers Kids, Youth and Families
initiative, which EDF recently launched, elevates the voices of military caregiver children and families to
better understand the unique challenges they face and explores approaches for enhancing support services
available to them.
U.S. Census Bureau's Population Estimates Program (PEP)
The population and housing unit estimates are released on a flow basis throughout each year. Each new series
of data (called vintages) incorporates the latest administrative record data, geographic boundaries, and
methodology. Therefore, the entire time series of estimates beginning with the most recent decennial census
is revised annually and estimates from different vintages of data may not be consistent across geography and
characteristics detail. When multiple vintages of data are available, the most recent vintage is the
preferred data.
The vintage year (e.g., V2020) refers to the final year of the time series. The reference date for all
estimates is July 1, unless otherwise specified.
To support state and local communication and outreach efforts, the U.S. Department of Health & Human
Services, Office of the Assistant Secretary for Planning and Evaluation (ASPE) developed state, county,
and sub-state level
predictions of hesitancy rates using the most recently available federal survey data.
For more on how the estimates were calculated, please see this
methodology document created by ASPE.
Data displayed within the map uses standard metrics across all United States counties. However, data might
differ from data on state and local websites. This can be due to differences in how data were reported or
how the metrics are calculated.
Exceptions:
-
California does not report the county of residence for persons receiving a vaccine
when the resident’s county has a population of fewer than 20,000 people.
-
Hawaii does not provide CDC with county-of-residence information.
-
Texas provides data that are aggregated at the state level and cannot be stratified
by county.
For more information about the data shown here, please visit
CDC: Reporting County-Level COVID-19 Vaccination Data
The Election Assistance Commission (EAC) has conducted the Election Administration and Voting Survey (EAVS) following each federal general election. The EAVS asks all 50 U.S. states, the District of Columbia, and U.S. territories to provide data about the ways in which Americans vote and how elections are administered.
1 Most states report data on the level of the county (or county equivalent, such as parishes for Louisiana). Illinois, Missouri, and Virginia report data for "independent" cities in addition to counties. The territories, the District of Columbia, and Alaska each report as a single jurisdiction.
2 We also excluded municipal jurisdictions within counties that reported data separate from the county. This was case with some cities in Illinois and Missouri that reported separately from the county.
3 Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont, and Wisconsin report data on the level of individual townships. Thus, we excluded data for AK, ME, MA, NH, VT and WI. CT and RI are excluded as they do not have active county governments.
4 By-mail voting includes all individuals who received a ballot from the election office prior to Election Day by mail (or via download from a web portal or by fax). It does not matter how the by-mail ballot was returned (via mail, dropped off at a polling place, or other designated method).
The National Incident Based Reporting System (NIBRS) is an incident-based reporting system for crimes known to
the police. For each crime incident coming to the attention of law enforcement, a variety of data are collected
about the incident. These data include the nature and types of specific offenses in the incident,
characteristics of the victim(s) and offender(s), types and value of property stolen and recovered, and
characteristics of persons arrested in connection with a crime incident.
Participation in the National Incident Based Reporting System (NIBRS) is voluntary. Not all law enforcement
agencies in a state use the NIBRS system to report data to the FBI.
This analysis includes offenses associated with crime incidents that were reported by law enforcement agencies
that participate in the National Incident Based Reporting System (NIBRS).
City law enforcement agencies report offenses that occur within their city boundaries in a county.
County and state law enforcement agencies report offenses that take place in the county outside the limits of the city.
American Community Survey (ACS) Indicators in County Explorer
The estimates within this dataset are direct estimates from the 5-year American Community Survey. The ACS is an
ongoing national survey of more than 3.5 million housing unit addresses annually. Data from monthly surveys are
accumulated over 60 months and the estimates reflect the entire 5-year period not just a specific year. The
estimates produced by ACS are not exact because they are based on a sample, not on all the housing units in the
United States.
The coefficient of variation (CV) associated with an estimate can help identify the level of reliability of the
estimate. The CV measures the variability associated with a survey estimate. It is calculated as the ratio of
the standard error of an estimate to the estimate itself and is expressed as a percentage. Low CV values
indicate more reliable estimates
The U.S. Census Bureau ACS Compass recommends using the ranges below for assessing the reliability of an
estimate. However, the value of the cutoff points may vary depending on the availability of better quality data
and the context of the analysis.
-
High Reliability: Estimates with CVs less than or equals to 15 percent.
-
Medium Reliability: Estimates with CVs between 15 percent and 30 percent.
-
Low Reliability: Estimates with CVs over 30 percent.
The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) Indicators In County Explorer
The estimates within this dataset are model estimates, not direct counts from enumerations or administrative
records, nor direct estimates from sample surveys. U.S. Census Bureau models county income and poverty estimates
by combining survey data with population estimates and administrative records. Beginning with the SAIPE program's
estimates for 2005, data from the American Community Survey (ACS) are used in the estimation procedure.
The SAIPE estimates have a level of uncertainty associated with them resulting from the use of sample data
and model estimation.
The coefficient of variation (CV) associated with an estimate can help identify the level of reliability of the
estimate. The CV measures the variability associated with a survey estimate. It is calculated as the ratio of
the standard error of an estimate to the estimate itself and is expressed as a percentage. Low CV values
indicate more reliable estimates
The U.S. Census Bureau ACS Compass recommends using the ranges below for assessing the reliability of an
estimate. However, the value of the cutoff points may vary depending on the availability of better quality data
and the context of the analysis.
-
High Reliability: Estimates with CVs less than or equals to 15 percent.
-
Medium Reliability: Estimates with CVs between 15 percent and 30 percent.
-
Low Reliability: Estimates with CVs over 30 percent.
Data was obtained from the Annual Survey of Jails (ASJ). This survey is a nationally representative survey of
county or city jail jurisdictions and regional jails in the country. N/A indicates the data are missing or not
applicable. There are 407 counties that do not operate a county jail.
Data are from the Multiple Cause of Death Files, 1999-2017, as compiled from data provided by the 57 vital
statistics jurisdictions through the Vital Statistics Cooperative Program. Accessed at
http://wonder.cdc.gov/mcd-icd10.html.
New York City is a consolidation of the five boroughs of the city of New York:
- Manhattan (New York County)
- The Bronx (Bronx County)
- Brooklyn (Kings County)
- Queens (Queens County)
- Staten Island (Richmond County)
