The population count of Fairfield County, CT was 944,348 in 2018. The population count of Bergen County, NJ was 929,999 in 2018. The population count of Nassau County, NY was 1,356,564 in 2018.
Population
Population Change
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Demographics and Population Datasets Involving Nassau County, NY or Bergen County, NJ or Fairfield County, CT
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Monthly Interstate Ferry Ridership, Port Authority: Beginning 1998
data.ny.gov | Last Updated 2019-06-10T17:59:20.000ZThis dataset provides total monthly ridership trends on New York/New Jersey interstate ferry routes. It counts ridership as unlinked trips, covering both directions of travel between the two states. It includes only scheduled interstate ferry services, and excludes tour and charter trips. The dataset provides separate totals columns for ferry terminals serving Midtown (W 39th St/Pier 79) and Downtown (Pier 11 and the World Financial Center).
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Average Weekday Interstate Ferry Ridership Figures for Port Authority: Beginning 1998
data.ny.gov | Last Updated 2019-06-10T17:59:20.000ZThis dataset provides average weekday ridership trends on New York/New Jersey interstate ferry routes. It counts ridership as unlinked trips, covering both directions of travel between the two states. It includes only scheduled interstate ferry services, and excludes tour and charter trips. The dataset provides separate totals columns for ferry terminals serving Midtown (W 39th St/Pier 79) and Downtown (Pier 11 and the World Financial Center).
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NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015
data.ny.gov | Last Updated 2019-11-15T22:30:02.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).
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COVID-19 Updated (Bivalent) Vaccine Coverage By Age Group - ARCHIVED
data.ct.gov | Last Updated 2023-08-07T17:13:41.000Z<strong>These tables will stop being updated after June 1, 2023. COVID-19 vaccination reporting is expected to resume when a new COVID-19 vaccination formulation is authorized.</strong></p> Updated (Bivalent) COVID- 19 Vaccination by Age Group As 4/22/2023, CDC recommends bivalent vaccine for everyone regardless of age and whether or not the person has had prior monovalent vaccine. This table shows the cumulative number and percentage of people who have received an updated (bivalent) COVID-19 vaccine by age group . • Data are reported weekly on Thursday and include doses administered to Saturday of the previous week. • All data in this report are preliminary. Data for previous weeks may be changed because of delays in reporting, deduplication, or correction of errors. • The table groups people based on their current age and excludes people known to be deceased. • The analyses here are based on data reported to CT WiZ which is the immunization information system for CT. Connecticut COVID-19 Vaccine Program providers are required to report to CT WiZ all COVID-19 doses administered in CT including to CT residents and to residents of other jurisdictions. CT Wiz also receives records on CT residents vaccinated in other jurisdictions and by federal entities which share data with CT WiZ electronically (currently: RI, NJ, New York City, DE, Philadelphia, NV, Indian Health Service, Department of Veterans Affairs (doses administered since 11/2022)). Electronic data exchange is being added jurisdiction-by-jurisdiction. Once a jurisdiction is added to CT WiZ, the records for residents of that jurisdiction vaccinated in CT are removed. For example, when CT residents vaccinated in NYC were added, NYC residents vaccinated in CT were removed. • Population size estimates used to calculate cumulative percentages are based on 2020 DPH provisional census estimates**. • Cumulative percentage estimates have been capped at 100%. Observed percentages may be higher than 100% for multiple reasons, inaccuracies in the census denominators or reporting errors. * DPH Provisional State and County Characteristics Estimates April 1, 2020. Hayes L, Abdellatif E, Jiang Y, Backus K (2022) Connecticut DPH Provisional April 1, 2020, State Population Estimates by 18 age groups, sex, and 6 combined race and ethnicity groups. Connecticut Department of Public Health, Health Statistics & Surveillance, SAR, Hartford, CT.
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COVID-19 Updated (Bivalent) Vaccination Coverage By Race/Ethnicity and Age Group - ARCHIVED
data.ct.gov | Last Updated 2023-08-07T17:07:17.000Z<strong>These tables will stop being updated after June 1, 2023. COVID-19 vaccination reporting is expected to resume when a new COVID-19 vaccination formulation is authorized.</strong></p> As 4/22/2023, CDC recommends bivalent vaccine for everyone regardless of age and whether or not the person has had prior monovalent vaccine. This table shows the cumulative number and percentage of people who have received an updated (bivalent) COVID-19 vaccination by race/ethnicity and age group for people 5 years and over. • Data are reported weekly on Thursday and include doses administered to Saturday of the previous week. • All data in this report are preliminary. Data for previous weeks may be changed because of delays in reporting, deduplication, or correction of errors. • The table groups people based on their current age and excludes people known to be deceased. • The analyses here are based on data reported to CT WiZ which is the immunization information system for CT. Connecticut COVID-19 Vaccine Program providers are required to report to CT WiZ all COVID-19 doses administered in CT including to CT residents and to residents of other jurisdictions. CT Wiz also receives records on CT residents vaccinated in other jurisdictions and by federal entities which share data with CT WiZ electronically (currently: RI, NJ, New York City, DE, Philadelphia, NV, Indian Health Service, Department of Veterans Affairs (doses administered since 11/2022)). Electronic data exchange is being added jurisdiction-by-jurisdiction. Once a jurisdiction is added to CT WiZ, the records for residents of that jurisdiction vaccinated in CT are removed. For example, when CT residents vaccinated in NYC were added, NYC residents vaccinated in CT were removed. • Population size estimates used to calculate cumulative percentages are based on 2020 DPH provisional census estimates*. • Race and ethnicity data may be self-reported or taken from an existing electronic health care record. Reported race and ethnicity information is used to create a single race/ethnicity variable. People with Hispanic ethnicity are classified as Hispanic regardless of reported race. People with a missing ethnicity are classified as non-Hispanic. People with more than one race are classified as multiple races. A vaccine coverage percentage cannot be calculated for people classified as NH (non-Hispanic) Other race or NH Unknown race since there are no population size estimates for these groups. Data quality assurance activities suggest that in at least some cases NH Other may represent a missing value. Vaccine coverage estimates in specific race/ethnicity groups may be underestimated as result of the classification of records as NH Unknown Race or NH Other Race. • Cumulative percentage estimates have been capped at 100%. Observed percentages may be higher than 100% for multiple reasons, inaccuracies in the census denominators or reporting errors. * DPH Provisional State and County Characteristics Estimates April 1, 2020. Hayes L, Abdellatif E, Jiang Y, Backus K (2022) Connecticut DPH Provisional April 1, 2020, State Population Estimates by 18 age groups, sex, and 6 combined race and ethnicity groups. Connecticut Department of Public Health, Health Statistics & Surveillance, SAR, Hartford, CT.
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Hospital Inpatient Discharges (SPARCS De-Identified): 2013
health.data.ny.gov | Last Updated 2019-09-13T19:04:24.000ZThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
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Hospital Inpatient Discharges (SPARCS De-Identified): 2014
health.data.ny.gov | Last Updated 2019-09-13T16:31:56.000ZThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
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National Immunization Survey Adult COVID Module (NIS-ACM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)-Archived
data.cdc.gov | Last Updated 2024-01-24T15:02:36.000ZNational Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.
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Hospital Inpatient Discharges (SPARCS De-Identified): 2016
health.data.ny.gov | Last Updated 2019-09-17T19:44:54.000ZThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
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Hospital Inpatient Discharges (SPARCS De-Identified): 2015
health.data.ny.gov | Last Updated 2019-09-13T16:33:50.000ZThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.