How much do you know about your county? (original) (raw)

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Definitions

Notes

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 theHidden 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 theU.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.

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.

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.

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 athttp://wonder.cdc.gov/mcd-icd10.html.

New York City is a consolidation of the five boroughs of the city of New York: