County Seat: | Val |
Year Organized: | Val |
Total Square Miles: | Val |
2018 Population: | Val |
Persons/Square Mile: | Val |
Government Type: | Val |
Authority: | Val |
Legislative Body: | Val |
Size of Legislative Body: | Val |
2018 Population: | Val |
25 to 64 Years of Age | Val |
65 Years of Age and Older | Val |
Gross Domestic Product (GDP): | Val |
Labor Force | Val |
Unemployment Rate | Val |
Val |
Val |
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.
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
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.