- What is the Number of Residents Without Insurance ?
- What is the Percent With Health Insurance?
- What is the Number of Residents?
- What is the Population Count?
- What is the Population Density?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
- What is the Student Teacher Ratio?
- What is the Median Earnings?
- What is the Mean Job Proximity Index?
The percent without health insurance of Chesterfield County, VA was 13.10% for 18 to 64, all races, both sexes and all income levels in 2014.
Percent Uninsured by Income Level
Percent Uninsured by Race
Health and Health Insurance Datasets Involving Chesterfield County, VA
- API data.iowa.gov | Last Updated 2019-04-02T16:48:14.000Z
This dataset contains Iowa unemployment insurance benefit payments, weeks compensated, and number of benefit recipients by county. County data is based on the recipient’s place of residence. (2000 to date)
- API data.iowa.gov | Last Updated 2019-01-14T23:01:00.000Z
This dataset contains Iowa unemployment insurance benefit payments, weeks compensated, and number of benefit recipients by county. County data is based on the recipient’s place of residence.
- API data.iowa.gov | Last Updated 2019-04-09T22:00:11.000Z
This dataset contains Iowa unemployment insurance initial claims by county. County data is based on the claimant’s place of residence. (2011 to date)
- API opendata.utah.gov | Last Updated 2019-04-19T06:44:33.000Z
Number Of People Without Health Insurance All States 2005-2012
- API data.iowa.gov | Last Updated 2018-08-29T17:06:27.000Z
This dataset contains county population in Iowa from 1990 to the most current year available. Data from 1990, 2000, and 2010 comes from the decennial censuses while the years in between are produced annually.
- API data.iowa.gov | Last Updated 2019-03-01T23:00:44.000Z
This dataset contains aggregate Medicaid payments, and counts for eligible recipients and recipients served by month and county in Iowa, starting with month ending 1/31/2011. Eligibility groups are a category of people who meet certain common eligibility requirements. Some Medicaid eligibility groups cover additional services, such as nursing facility care and care received in the home. Others have higher income and resource limits, charge a premium, only pay the Medicare premium or cover only expenses also paid by Medicare, or require the recipient to pay a specific dollar amount of their medical expenses. Eligible Medicaid recipients may be considered medically needy if their medical costs are so high that they use up most of their income. Those considered medically needy are responsible for paying some of their medical expenses. This is called meeting a spend down. Then Medicaid would start to pay for the rest. Think of the spend down like a deductible that people pay as part of a private insurance plan.
- API data.iowa.gov | Last Updated 2018-08-29T17:01:49.000Z
This dataset contains city population in Iowa from 2010 to the most current year available. Data from 2010 comes from the decennial census while the proceeding years are produced annually. Aggregating the city populations in each county will provide a county total population
- API data.iowa.gov | Last Updated 2018-03-27T19:33:09.000Z
The dataset provides vehicle (both motor vehicle and trailer) registration numbers and annual fees in Iowa by year, county and vehicle types. Vehicle types include: Automobile, Bus, Moped, Motor Home - A, Motor Home - B, Motor Home - C, Motorcycle, Multi-purpose, Regular Trailer, Semi Trailer, Small Regular Trailer, Small Semi Trailer, Truck Tractor, Travel Trailer, Truck, Truck - Business Trade, and Truck - Weight and List.
- API data.iowa.gov | Last Updated 2019-04-22T20:52:57.000Z
This dataset contains voter registration data in Iowa by month and county starting with January 2000. It identifies the number of voters registered as Democrats, Republicans, other party or no party. Libertarians were reported separately March 2017 through January 2019. The dataset also identifies the number of active and inactive voter registrations. Inactive voters are those to whom official mailings have been sent from the county auditor’s office, the notice was returned as undeliverable by the United States Postal Service and the voter has not responded to a follow up confirmation notice. [§48A.37]
- API data.iowa.gov | Last Updated 2019-03-21T22:00:40.000Z
The Food Assistance Program provides Electronic Benefit Transfer (EBT) cards that can be used to buy groceries at supermarkets, grocery stores and some Farmers Markets. This dataset provides data on the number of households, recipients and cash assistance provided through the Food Assistance Program participation in Iowa by month and county starting in January 2011 and updated monthly. Beginning January 2017, the method used to identify households is based on the following: 1. If one or more individuals receiving Food Assistance also receives FIP, the household is categorized as FA/FIP. 2. If no one receives FIP, but at least one individual also receives Medical Assistance, the household is categorized as FA/Medical Assistance. 3. If no one receives FIP or Medical Assistance, but at least one individual receives Healthy and Well Kids in Iowa or hawk-i benefits, the household is categorized as FA/hawk-i. 4. If no one receives FIP, Medical Assistance or hawk-i , the household is categorized as FA Only. Changes have also been made to reflect more accurate identification of individuals. The same categories from above are used in identifying an individual's circumstances. Previously, the household category was assigned to all individuals of the Food Assistance household, regardless of individual status. This change in how individuals are categorized provides a more accurate count of individual categories. Timing of when the report is run also changed starting January 2017. Reports were previously ran on the 1st, but changed to the 17th to better capture Food Assistance households that received benefits for the prior month. This may give the impression that caseloads have increased when in reality, under the previous approach, cases were missed.