Retirement Age Men in the United States increased to 66.83 Years in 2025 from 66.67 Years in 2024. This dataset provides - United States Retirement Age Men - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides values for RETIREMENT AGE MEN reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Not in Labor Force - With No Disability, 65 Years and over (LNU05075379) from Jun 2008 to Aug 2025 about 65 years +, disability, labor force, labor, household survey, and USA.

During the pandemic, the share of retirees in the U.S. population rose much faster than its normal pace. Typically, an increase in this share is driven by more people transitioning from employment to retirement. However, we show that the recent increase was instead driven by fewer people transitioning from retirement back into employment, likely due to pandemic-related health risks. More retirees may rejoin the workforce as these health risks fade, but the retirement share is unlikely to return to a normal level for some time.

Graph and download economic data for Population ages 65 and above for the United States (SPPOP65UPTOZSUSA) from 1960 to 2024 about 65-years +, population, and USA.

This dataset provides values for RETIREMENT AGE WOMEN reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Consumer Unit Characteristics: Number of People in CU by Occupation: Retired (CXU980010LB1209M) from 1984 to 2023 about retirement, consumer unit, occupation, persons, and USA.

Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for the United States (SPPOPDPNDOLUSA) from 1960 to 2024 about 64 years +, working-age, ratio, population, and USA.

In 2021, about **** million people aged 65 years or older were living in California -- the most out of any state. In that same year, Florida, Texas, New York, and Pennsylvania rounded out the top five states with the most people aged 65 and over living there.

NOTE: This dataset has been retired and marked as historical-only. The recommended dataset to use in its place is https://data.cityofchicago.org/Health-Human-Services/COVID-19-Vaccination-Coverage-Region-HCEZ-/5sc6-ey97.

COVID-19 vaccinations administered to Chicago residents by Healthy Chicago Equity Zones (HCEZ) based on the reported address, race-ethnicity, and age group of the person vaccinated, as provided by the medical provider in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE).

Healthy Chicago Equity Zones is an initiative of the Chicago Department of Public Health to organize and support hyperlocal, community-led efforts that promote health and racial equity. Chicago is divided into six HCEZs. Combinations of Chicago’s 77 community areas make up each HCEZ, based on geography. For more information about HCEZs including which community areas are in each zone see: https://data.cityofchicago.org/Health-Human-Services/Healthy-Chicago-Equity-Zones/nk2j-663f

Vaccination Status Definitions:

·People with at least one vaccine dose: Number of people who have received at least one dose of any COVID-19 vaccine, including the single-dose Johnson & Johnson COVID-19 vaccine.

·People with a completed vaccine series: Number of people who have completed a primary COVID-19 vaccine series. Requirements vary depending on age and type of primary vaccine series received.

·People with a bivalent dose: Number of people who received a bivalent (updated) dose of vaccine. Updated, bivalent doses became available in Fall 2022 and were created with the original strain of COVID-19 and newer Omicron variant strains.

Weekly cumulative totals by vaccination status are shown for each combination of race-ethnicity and age group within an HCEZ. Note that each HCEZ has a row where HCEZ is “Citywide” and each HCEZ has a row where age is "All" so care should be taken when summing rows.

Vaccinations are counted based on the date on which they were administered. Weekly cumulative totals are reported from the week ending Saturday, December 19, 2020 onward (after December 15, when vaccines were first administered in Chicago) through the Saturday prior to the dataset being updated.

Population counts are from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-year estimates.

Coverage percentages are calculated based on the cumulative number of people in each population subgroup (age group by race-ethnicity within an HCEZ) who have each vaccination status as of the date, divided by the estimated number of people in that subgroup.

Actual counts may exceed population estimates and lead to >100% coverage, especially in small race-ethnicity subgroups of each age group within an HCEZ. All coverage percentages are capped at 99%.

All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH.

Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined.

CDPH uses the most complete data available to estimate COVID-19 vaccination coverage among Chicagoans, but there are several limitations that impact its estimates. Data reported in I-CARE only includes doses administered in Illinois and some doses administered outside of Illinois reported historically by Illinois providers. Doses administered by the federal Bureau of Prisons and Department of Defense are also not currently reported in I-CARE. The Veterans Health Administration began reporting doses in I-CARE beginning September 2022. Due to people receiving vaccinations that are not recorded in I-CARE that can be linked to their record, such as someone receiving a vaccine dose in another state, the number of people with a completed series or a booster dose is underesti

Note: After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

This dataset represents weekly COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

Reporting information:

• As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).
• While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.
• Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.
• Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.
• Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

Metric details:

• Time Period: timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.
• New COVID-19 Hospital Admissions (count): Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
• New COVID-19 Hospital Admissions (7-Day Average): 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
• Cumulative COVID-19 Hospital Admissions: Cumulative total number of admissions of patients with laboratory-confirmed COVID-19 (including both adult and pediatric admissions) in the entire jurisdiction since August 1, 2020.
• Cumulative COVID-19 Hospital Admissions Rate: Cumulative total number of admissions of patients with laboratory-confirmed COVID-19 (including both adult and pediatric admissions) in the entire jurisdiction since August 1, 2020 divided by 2019 intercensal population estimate for that jurisdiction multiplied by 100,000.
• New COVID-19 Hospital Admissions Rate (7-day average) percent change from prior week: Percent change in the 7-day average new admissions of patients with laboratory-confirmed COVID-19 per 100,000 population compared with the prior week.
• New COVID-19 Hospital Admissions (7-Day Total): 7-day total number of new admissions of patients with laboratory-confirmed COVID-19 (including both adult and pediatric admissions) in the entire jurisdiction.
• New COVID-19 Hospital Admissions Rate (7-Day Total): 7-day total number of new admissions of patients with laboratory-confirmed COVID-19 (including both adult and pediatric admissions) for the entire jurisdiction divided by 2019 intercensal population estimate for that jurisdiction multiplied by 100,000.
• Total Hospitalized COVID-19 Patients: 7-day total number of patients currently hospitalized with laboratory-confirmed COVID-19 (including both adult and pediatric patients) for the entire jurisdiction.
• Total Hospitalized COVID-19 Patients (7-Day Average): 7-day average of the number of patients currently hospitalized with laboratory-confirmed COVID-19 (including both adult and pediatric patients) for the entire jurisdiction.
• COVID-19 Inpatient Bed Occupancy (7-Day Average): Percentage of all staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 (including both adult and pediatric patients) within the entire jurisdiction is calculated as an average of valid daily values within the past 7 days (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (patients hospitalized with confirmed COVID-19) and denominators (staffed inpatient beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction.
• COVID-19 Inpatient Bed Occupancy absolute change from prior week: The absolute change in the percent of staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the 7-day average occupancy of patients with confirmed COVID-19 in staffed inpatient beds in the past 7 days, compared with the prior week, in the entire jurisdiction.
• COVID-19 ICU Bed Occupancy (7-Day Average): Percentage of all staffed inpatient beds occupied by adult patients with confirmed COVID-19 within the entire jurisdiction is calculated as a 7-day average of valid daily values within the past 7 days (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (adult patients hospitalized with confirmed COVID-19) and denominators (staffed adult ICU beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction.
• COVID-19 ICU Bed Occupancy absolute change from prior week: The absolute change in the percent of staffed ICU beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed adult ICU beds for the past 7 days, compared with the prior week, in the in the entire jurisdiction.

Note: October 27, 2023: Due to a data processing error, reported values for avg_percent_inpatient_beds_occupied_covid_confirmed will appear lower than previously reported values by an average difference of less than 1%. Therefore, previously reported values for avg_percent_inpatient_beds_occupied_covid_confirmed may have been overestimated and should be interpreted with caution.

October 27, 2023: Due to a data processing error, reported values for abs_chg_avg_percent_inpatient_beds_occupied_covid_confirmed will differ from previously reported values by an average absolute difference of less than 1%. Therefore, previously reported values for abs_chg_avg_percent_inpatient_beds_occupied_covid_confirmed should be interpreted with caution.

December 29, 2023: Hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN) through December 23, 2023, should be interpreted with caution due to potential reporting delays that are impacted by Christmas and New Years holidays. As a result, metrics including new hospital admissions for COVID-19 and influenza and hospital occupancy may be underestimated for the week ending December 23, 2023.

January 5, 2024: Hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN) through December 30, 2023 should be interpreted with caution due to potential reporting delays that are impacted by Christmas and New Years holidays. As a result, metrics including new hospital admissions for COVID-19 and influenza and hospital occupancy may be underestimated for the week ending December 30, 2023.

Anyone age 16+ is eligible to work in the US. Of the population within this age, people are either employed, unemployed, in the armed forces, or not within the labor force. This map shows the portion of the population that is not within the labor force. These are people who do not have a job, and are not actively looking for one. Many times, this encompasses people who are unable to work, students, homemakers/stay-at-home parents, or are retired. The data shown is current-year American Community Survey (ACS) data from the US Census. The data is updated each year when the ACS releases its new 5-year estimates. For more information about this data, visit this page.To learn more about when the ACS releases data updates, click here.

Thank you for your request for information about the following: Request You asked us: Retired GP pensioners - how many (or percentage) get a pension in the following ranges £0-£24999, £25000-£49999, £50000-£74999, £75000- £99999, over £100000 Date Range: 01/04/2024 - 31/03/2025 On the 8 August 2025 you clarified the following: Live data on the date run. Pensioner including those who have returned to work, fully retired ie all claiming a pension. The NHS Business Services Authority (NHSBSA) received your request on 17 July 2025. We have handled your request under the Freedom of Information Act 2000 (FOIA). Our response I can confirm that the NHSBSA holds the information you have requested. The attached table gives the volume of unique GPs in receipt of pension benefits, broken down by their annual pension rate in payment as of 18/08/2025 Only members with General Practitioner (GP) service are included; these members may also have non-GP service historically or concurrently. General Dental Practitioner service is not in scope. Only GPs in receipt of some pension benefits are included; they may not have claimed all benefits and may still be actively contributing to the NHS Pensions Scheme, and/or working in NHS employment. The pension rate is based on the annual rate in payment currently for each member. It does not necessarily mean the member has received that rate for the previous 12 months or will go on to receive it for the following 12 months, as rates can change throughout the year. The data does not include lump sum payments made, only the ongoing annual pension rate.

Graph and download economic data for Labor Force Participation Rate - With No Disability, 65 Years and over (LNU01375379) from Jun 2008 to Aug 2025 about 65 years +, disability, participation, civilian, labor force, labor, household survey, rate, and USA.

This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).

North American Rail Network LinesImportant Note: This item is in mature support as of December 2024 and will be retired in April 2025. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Transportation Statistics (BTS), displays the North American Rail Network (NARN). Per BTS, "the NARN Rail Lines dataset is a database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada."Rail Line FRA ID# 389469 (Erie County, NY)Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (North American Rail Lines) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 145 (North American Rail Network Lines)OGC API Features Link: (North American Rail Lines - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: Rail Network DevelopmentSupport documentation: MetadataFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations".For other NGDA Content: Esri Federal Datasets

Health Center Service Delivery and Look Alike SitesImportant Note: This item is in mature support as of March, 2025 and will be retired in July, 2025. This feature layer, utilizing data from the Health Resources and Services Administration (HRSA), displays all health center program sites in the United States and it's U.S. Territories. Per HRSA, "Health centers combine medical, dental, mental health, substance use, and other services. They focus on the needs of each patient, and they make sure their providers work together to provide the best care."Henry J. Austin Health Center-ChambersData currency: August 1, 2024Data source: Health Center Service Delivery and Look–Alike SitesData modification: NoneFor more information: About the Health Center Program; Health Center Program Look-AlikesSupport documentation: MetadataFor feedback, please contact: ArcGIScomNationalMaps@esri.comHealth Resources and Services AdministrationPer HRSA, "HRSA programs provide equitable health care to people who are geographically isolated and economically or medically vulnerable. This includes programs that deliver health services to people with HIV, pregnant people, mothers and their families, those with low incomes, residents of rural areas, American Indians and Alaska Natives, and those otherwise unable to access high-quality health care."

Check out the new, interactive program dashboard with the most recent data available

NOTE: This dataset will be retired soon. Please visit the link above.

This dashboard contains participation data related to seven California Health & Human Services agency programs: CalWORKs, CalFresh, In-Home Supportive Services, Foster Care, Medi-Cal, Women, Infants, & Children, and Developmental Services. Users are able to view these data at the county level or by legislative district level (U.S. Congress, State Assembly, State Senate). Statistics on persons served, persons per case, average grant amount, and basic demographics are presented in both tabular spreadsheets and customizable visualizations by program. In addition to presenting statistics for each program separately, the dashboard also provides data on the number of individuals participating in more than one program at the same time in a given district or county. We use monthly point-in-time data; see Sources and Methodology document for more details.

The Personal and family income statistics operation calculates the income of people aged 18 or over resident in the Basque Country and produces figures such as gross per capita income or average personal income; it forms the base for knowledge of the distribution of individual and family wealth, using taxation data, linked to census variables of the population. The breakdown of income according to population strata such as sex, age or relation to productive activity (unemployed, employed or retired population) allows us to have a closer awareness of diverse groups.

Dividend-Per-Share Time Series for CNO Financial Group Inc. CNO Financial Group, Inc., through its subsidiaries, develops, markets, and administers health insurance, annuity, individual life insurance, insurance products, and financial services for middle-income pre-retiree and retired Americans in the United States. It offers Medicare supplement, supplemental health, and long-term care insurance policies; life insurance; and annuities, as well as Medicare advantage plans to individual consumers through phone, virtually, online, and face-to-face with agents. The company also focuses on sale of voluntary benefit life and health insurance products for businesses, associations, and other membership groups by interacting with customers at their place of employment. In addition, it provides fixed indexed annuities; fixed interest annuities, including fixed rate single and flexible premium deferred annuities; single premium immediate annuities; supplemental health products, such as specified disease, accident, and hospital indemnity products; and long-term care plans primarily to retirees, lesser degree, and older self-employed individuals in the middle-income market. Further, the company offers universal life and other interest-sensitive life products; and traditional life policies that include whole life, graded benefit life, term life, and single premium whole life products, as well as graded benefit life insurance products. It markets its products under the Bankers Life, Washington National, and Colonial Penn brand names. The company was founded in 1979 and is headquartered in Carmel, Indiana.