- 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 Fairfield County, CT was 12.60% 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 Fairfield County, CT
- API data.ct.gov | Last Updated 2016-04-08T13:46:19.000Z
Payments to businesses and other entities are at the core of State spending transparency. This data allows citizens to view who received payments from the State for goods or services and how much they received. Data from the CORE-CT Financial Accounting System are summarized by Agency, Payee, and Expense Account. Certain Payee Names have been removed in order to protect the privacy of individuals, in accordance with Health Insurance Portability and Accountability Act (HIPAA) regulations or where it might be a violation of protected information, in the case of Department of Criminal Justice Investigations. These redacted names appear as "REMOVED FOR PRIVACY." This data is static and is not live-updated.
- API data.ct.gov | Last Updated 2020-12-21T17:17:31.000Z
This registry provides a list of licensed nursing facilities in Connecticut as of September 30th each year, beginning with data from 2013. For each facility, this dataset includes aggregate resident demographic information, private pay rates for private and semi-private rooms, payment sources and occupancy levels for each year.
- API mydata.iowa.gov | Last Updated 2021-01-15T20:40:30.000Z
The Iowa Insurance Division regulates and supervises the business of insurance in Iowa. This dataset provides a list of insurance companies licensed to do business in Iowa.
- API mydata.iowa.gov | Last Updated 2019-08-12T22:38:06.000Z
Sample premium information for individual ACA-compliant health insurance plans available to Iowans for 2019 based on age, rating area and metal level. These are premiums for individuals, not families. Please note that not every plan ID is available in every county. Please go to https://www.healthcare.gov/ to determine if your plan is available in the county you reside in.
- API mydata.iowa.gov | Last Updated 2019-08-14T20:38:31.000Z
Sample premium information for individual ACA-compliant health insurance plans available to Iowans for 2018 based on age, rating area and metal level. These are premiums for individuals, not families. Please note that not every plan ID is available in every county. Please go to https://www.healthcare.gov/ to determine if your plan is available in the county you reside in.
- API mydata.iowa.gov | Last Updated 2019-09-25T18:48:16.000Z
Explore and drill into the data using the <a href="/d/5fsw-rf5a" target="_blank" rel="nofollow external">Average 2020 Iowa Individual ACA Premiums by Rating Area, Metal Level and Age</a> chart. <br><br>Please note that not every plan ID is available in every county. Please go to <a href="https://www.healthcare.gov/" target="_blank" rel="nofollow external">www.healthcare.gov</a> to determine if your plan is available in the county you reside in. Sample premium information for individual ACA-compliant health insurance plans available to Iowans for 2020 based on age, rating area and metal level. These are premiums for individuals, not families.
- API data.healthcare.gov | Last Updated 2017-12-11T22:46:58.000Z
The Plan ID Crosswalk PUF (CW-PUF) is one of the seven files that make up the Marketplace PUF. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Marketplaces in 2014 to plans that will be offered through the Marketplaces in 2015. These data either originate from the Plan Crosswalk template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).This data dictionary describes the variables contained in the CW-PUF. Each record relates to a mapping between a plan offered in 2014 and a plan offered in 2015 at the county or county-zip code level.
- API data.ct.gov | Last Updated 2021-01-14T21:53:50.000Z
This dataset includes the leading and secondary metrics identified by the Connecticut Department of Health (DPH) and the Department of Education (CSDE) to support local district decision-making on the level of in-person, hybrid (blended), and remote learning model for Pre K-12 education. Data represent daily averages for two-week periods by date of specimen collection (cases and positivity), date of hospital admission, or date of ED visit. Hospitalization data come from the Connecticut Hospital Association and are based on hospital location, not county of patient residence. COVID-19-like illness includes fever and cough or shortness of breath or difficulty breathing or the presence of coronavirus diagnosis code and excludes patients with influenza-like illness. All data are preliminary. These data are updated weekly and reflect the previous two full Sunday-Saturday (MMWR) weeks (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf). These metrics were adapted from recommendations by the Harvard Global Institute and supplemented by existing DPH measures. For national data on COVID-19, see COVID View, the national weekly surveillance summary of U.S. COVID-19 activity, at https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html DPH note about change from 7-day to 14-day metrics: Prior to 10/15/2020, these metrics were calculated using a 7-day average rather than a 14-day average. The 7-day metrics are no longer being updated as of 10/15/2020 but the archived dataset can be accessed here: https://data.ct.gov/Health-and-Human-Services/CT-School-Learning-Model-Indicators-by-County/rpph-4ysy As you know, we are learning more about COVID-19 all the time, including the best ways to measure COVID-19 activity in our communities. CT DPH has decided to shift to 14-day rates because these are more stable, particularly at the town level, as compared to 7-day rates. In addition, since the school indicators were initially published by DPH last summer, CDC has recommended 14-day rates and other states (e.g., Massachusetts) have started to implement 14-day metrics for monitoring COVID transmission as well. With respect to geography, we also have learned that many people are looking at the town-level data to inform decision making, despite emphasis on the county-level metrics in the published addenda. This is understandable as there has been variation within counties in COVID-19 activity (for example, rates that are higher in one town than in most other towns in the county).
- API health.data.ny.gov | Last Updated 2019-09-30T19:32:46.000Z
This dataset contains the number of New York State live births stratified by primary financial coverage and county of residence. The data presented here may not be the same as the Vital Statistics table on the DOH public web due to data updates. For more information, go to: http://www.health.nygov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.
- API mydata.iowa.gov | Last Updated 2019-08-12T22:52:58.000Z
Sample premium information for individual ACA-compliant health insurance plans available to Iowans for 2016.