New York

The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The 5-year estimates from the ACS are "period" estimates that represent data collected over a period of time. The primary advantage of using multiyear estimates is the increased statistical reliability of the data for less populated areas and small population subgroups.    

The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Economic Characteristics – class of worker, commute to work, employment status, health insurance, income and benefits, industry,occupation, and poverty.

The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Social Characteristics – ancestry, disability, educational attainment, fertility, grandparents, household, language spoken, marital status, place of birth, region of birth, relationships, residence, school enrollment, US citizenship status, veteran status, and year of entry

Since high ambient temperatures can lead to negative health outcomes such as heat cramps, heat exhaustion, heat syncope, and heat stroke. Monitoring health conditions associated with extreme heat requires temperature and relative-humidity data at highly resolved spatio-temporal scales. This dataset presents the data on daily estimates of heat index and extreme temperature days during the summer months.

The FMHPI provides a measure of typical price inflation for houses within the United States. Values are calculated monthly and released at the end of the following month. For example, the FMHPI for March is published in late April. Seasonally and non-seasonally adjusted series are available at three levels of geographical aggregation: Metropolitan Statistical Area (MSA), state, and national. All series begin in January 1975. The national index is defined as a weighted average of the 50 states and Washington, D.C. indices. The FMHPI is based on an ever-expanding database of loans purchased by either Freddie Mac or Fannie Mae. Data cited at: Freddie Mac-http://www.freddiemac.com/research/indices/house-price-index.page#:~:text=Freddie%20Mac%20House%20Price%20Index,is%20published%20in%20late%20April

This dataset presents estimates to determine population exposure to extreme heat.

This dataset presents county-level estimates of temperature and heat index.

Index Period: January 4th - January 31st Indexing Type: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 1 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division.

An Environmental Public Health Indicator (EPHI) provides information about a population's health status with respect to environmental factors.  The EPHIs may be particularly useful when measurable links are not clear. As such, they can be used to measure health, or a factor associated with health in a specific population.

This dataset presents the population-based surveillance for laboratory-confirmed influenza-associated hospitalizations in children (persons younger than 18 years) and adults. The FluSurv-NET's current network covers over 70 counties in the 10 Emerging Infections Program (EIP) states (CA, CO, CT, GA, MD, MN, NM, NY, OR, and TN) and three additional states through the Influenza Hospitalization Surveillance Project (MI, OH, and UT). The network represents approximately 9% of US population i.e. 29 million people. Cases are identified by reviewing hospital, laboratory, and admission databases and infection control logs for patients hospitalized during the influenza season with a documented positive influenza test (i.e., viral culture, direct/indirect fluorescent antibody assay (DFA/IFA), reverse transcription-polymerase chain reaction (RT-PCR), or a rapid influenza diagnostic test (RIDT)).Data gathered are used to estimate age, racial/ethnic and sex-specific hospitalization rates on a weekly basis and describe characteristics of persons hospitalized with influenza illness. Laboratory-confirmation is dependent on clinician-ordered influenza testing. Therefore, the rates provided are likely to be underestimated as influenza-related hospitalizations can be missed due to test availability and provider or facility testing practices. Note- In all influenza seasons except 2009-10 and 2021-22, rates reflect cases hospitalized during October 1 – April 30 of each influenza season. 

Rates of Laboratory-Confirmed RSV, COVID-19, and Flu Hospitalizations from the RESP-NET Surveillance Systems

Apartment List Rent Estimates and Apartment List Vacancy Index

The Yearbook of Immigration Statistics is a compendium of tables that provides data on foreign nationals who, during a fiscal year, were granted lawful permanent residence (i.e., admitted as immigrants or became legal permanent residents), were admitted into the United States on a temporary basis (e.g., tourists, students, or workers), applied for asylum or refugee status, or were naturalized.

Data updates are released on every Thursday.

Dataset series are broadly classified into 4 major categories: States; Census Regions;BEA Regions;Federal Reserve Districts. Note: This dataset excludes county & MSAs.

Note: This dataset presents the weekly unemployment insurance (UI) claims reported by each state's unemployment insurance program offices. These claims may be used for monitoring workload volume. Where the claimant claims the claim is filed directly with the claimant. These are the basis for the initial claims and continued claims reported each week. These data come from ETA 538, Advance Weekly Initial and Continued Claims Report. The following week initial claims and continuing claims are based on a second reporting by the state of residence. These data come from the ETA 539, Weekly Claims and Extended Benefits Trigger Data Report.

The HPI is a broad measure of the movement of single-family house prices. The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancing's on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.

Historical Temperature and Heat Index_Weekly Average Maximum Temperature

  Zillow Home Value Index (ZHVI) for Metro & U.S and Statewise data. A smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. Zillow publishes top-tier ZHVI ($, typical value for homes within the 65th to 95th percentile range for a given region) and bottom-tier ZHVI ($, typical value for homes that fall within the 5th to 35th percentile range for a given region). Zillow also publishes ZHVI for all single-family residences ($, typical value for all single-family homes in a given region), for condo/coops ($), for all homes with 1, 2, 3, 4 and 5+ bedrooms ($), and the ZHVI per square foot ($, typical value of all homes per square foot calculated by taking the estimated home value for each home in a given region and dividing it by the home’s square footage).

Zillow Observed Rent Index (ZORI): A smoothed measure of the typical observed market rate rent across a given region. ZORI is a repeat-rent index that is weighted to the rental housing stock to ensure representativeness across the entire market, not just those homes currently listed for-rent. The index is dollar-denominated by computing the mean of listed rents that fall into the 40th to 60th percentile range for all homes and apartments in a given region, which is once again weighted to reflect the rental housing stock.