| County Seat: | Val |
| Year Organized: | Val |
| Total Square Miles: | Val |
| 2020 Population: | Val |
| Persons/Square Mile: | Val |
| Government Type: | Val |
| Authority: | Val |
| Legislative Body: | Val |
| Size of Legislative Body: | Val |
| 2019 Gross Domestic Product (GDP): |
Val |
| 2020 Labor Force: | Val |
| 2020 Unemployment Rate: | Val |
| Population: | Val |
| 2010 to 2020 Population Change: | Val |
| Total Housing Units: | Val |
| Share Occupied Housing Units: | Val |
| Val |
| Val |
A 7-day moving avarage is calculated by adding new cases for the current and 6 preceding days and dividing the result by 7.
If your county has issued an emergency declaration or shelter-in-place policy not reflected in County Explorer, please contact us at research@naco.org.
All 50 States and DC have declared a state of emergency. To access a state declaration, click on the state. If your state has issued a shelter-in-place and/or business closure policy not reflected in County Explorer, please contact us at research@naco.org.
If there is an inaccuracy reflected in County Explorer, please contact us at research@naco.org.
The map shows the percentage of COVID-19 vaccines administered to residents out of the doses delivered to the state.
Estimated percentage of adults who describe themselves as "probably not" or "definitely not" going to get a COVID-19 vaccine once one is available to them. Full notes and definitions.
Estimated percentage of adults who describe themselves as "definitely not" going to get a COVID-19 vaccine once one is available to them. Full notes and definitions.
The map illustrates the GDP change between 2020 and 2022.
Official values from the U.S. Treasury that counties will receive under the American Rescue Plan.
County Veteran Service Officers (CVSOs) help veterans access a range of service-connected federal benefits. These federal benefits include health care, disability, pension, compensation and transition assistance programs.
Aggregate award amount from FY 2018 – FY 2023 (including supplemental CARES Act funding)
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
Interpreting Census of Governments - Employment Statistics
The Census of Governments identifies the scope and nature of the nation's state and local government sector; provides authoritative benchmark figures of public finance and public employment.
Counties with zero (0) employees within any of the categories implies that a county may either have no employees to serve that function or the county did not report employment levels for a given category to the U.S. Census Bureau.
Maternity care desert: A county without a hospital or birth center offering obstetric care and without any obstetric providers. Please note that obstetric (OB) providers include obstetricians/gynecologists and certified nurse midwives/certified midwives (CNMs/CMs).
Low access to care: Counties where residents may have low access to appropriate preventive, prenatal and postpartum care. These are counties where there was one or no hospital offering obstetric service and fewer than 60 obstetric providers per 10,000 births, and the proportion of women without health insurance was 10 percent or greater.
Moderate Access to Care: Counties where residents have access to one or no hospital offering obstetric service and fewer than 60 obstetric providers per 10,000 births, and the proportion of women without health insurance was less than 10 percent.
Access to Maternity Care: Counties where residents had full access to either two or more hospitals offering obstetric services or more than 60 obstetric providers per 10,000 births.
Most Restrictive (Dillon's Rule): All counties in these states are under a strict Dillon's Rule doctrine and only have the authority and powers explicitly granted by the state.
Mixed/Restrictive (Mostly Dillon's Rule): Most counties in these states are under a strict Dillon's Rule doctrine, though there are a few, limited exceptions, often for counties of a certain population size. Some of these states impose strict limitations even on their few Home Rule counties.
Somewhat Restrictive (Flexible Dillon's Rule): Counties in these states are under a flexible Dillon's Rule; although they are technically restricted to the authority and powers explicitly granted by the state, these powers are broadly construed to give additional authority for counties to manage their own affairs. Some of these counties have more flexibility than Home Rule counties in other states.
Somewhat Flexible (Restrictive Home Rule): Counties in these states are given Home Rule authority, though the state limits this authority, granting them flexibility in only certain areas. Some of these counties are more restricted than counties in Dillon's Rule states.
Mixed/Flexible (Optional Home Rule): Counties in these states are under Dillon's Rule by default, but have the option to develop charters and become Home Rule counties, which grants them additional flexibility to determine their own affairs.
Most Flexible (Home Rule): All counties in these states are granted broad powers to govern their own affairs under a flexible Home Rule doctrine, which permits counties any authority not explicitly restricted by the state.
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.
The map displays the most up-to-date information available from the Census of State and Local Government Finances. This census is conducted every five years, in years ending in "2" and "7," and covers all local governments. In between those years, a sample of state and local governments is used to collect data. The next census dataset, which will have 2022 data, is scheduled for release in 2024. For more information on the program, visit the U.S. Census page .
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:
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.
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.
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.
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.
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This tool provides easy access to data that offer a snapshot on a variety of topics relevant to counties nationwide.
