- What is the Population Rate of Change?
- What is the Population Density?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Crime incident count?
- What is the Water Area?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
The population count of Niagara Falls, NY was 48,661 in 2018.
Demographics and Population Datasets Involving Niagara Falls, NY
- API data.cityofnewyork.us | Last Updated 2020-02-08T00:56:30.000Z
Contains resident demographic data at a summary level as of January 1, 2019. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.
- API data.ny.gov | Last Updated 2020-05-27T00:25:21.000Z
Provides data about parolees under community supervision on March 31 of the snapshot year. Information includes region of supervision, county of residence, snapshot year, supervision level, gender, age, and race/ethnicity as of the file date, and crime type for most serious instant offense.
- API data.ny.gov | Last Updated 2020-05-28T22:13:37.000Z
Represents inmates under custody in NYS Department of Corrections and Community Supervision as of March 31 of the snapshot year. Includes data about admission type, county, gender, age, race/ethnicity, crime, and facility.
- API data.ny.gov | Last Updated 2019-11-27T23:01:08.000Z
This dataset shows the population, civilian labor force, unemployed, and unemployment rate for people aged 16 years and older by race and ethnicity in New York State and its Labor Market Regions.
NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015data.ny.gov | Last Updated 2019-11-15T22:30:02.000Z
How 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).
- API health.data.ny.gov | Last Updated 2019-09-13T16:27:54.000Z
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, charges, and costs.This data contains basic record level detail regarding the discharge; however the data does not contain protected health information (PHI) under Health Insurance Portability and Accountability Act (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.
- API health.data.ny.gov | Last Updated 2019-09-13T16:29:09.000Z
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-Identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data contains basic record level detail regarding the discharge; however, the data does not contain protected health information (PHI) under Health Insurance Portability and Accountability Act (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.
- API health.data.ny.gov | Last Updated 2019-09-13T19:04:24.000Z
The 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.
- API data.cityofnewyork.us | Last Updated 2020-02-08T01:17:34.000Z
Summary results from NYC Community Health Survey 2010-2016: adults ages 18 years and older Source: NYC Community Health Survey (CHS) 2010-16. The Community Health Survey (CHS) includes self-reported data from adults, years 18 and older. CHS has included adults with landline phones since 2002 and, starting in 2009, also has included adults who can be reached by cell-phone. Starting in 2011, CHS weighting methods were updated to use Census 2010 and additional demographic characteristics (http://www1.nyc.gov/assets/doh/downloads/pdf/epi/epiresearch-chsmethods.pdf ). Data are age-adjusted to the US 2000 Standard Population. Data prepared by Bureau of Epidemiology Services, New York City Department of Health and Mental Hygiene The New York City Community Health Survey (CHS) is a telephone survey conducted annually by the DOHMH, Division of Epidemiology, Bureau of Epidemiology Services. CHS provides robust data on the health of New Yorkers, including neighborhood, borough, and citywide estimates on a broad range of chronic diseases and behavioral risk factors. The data are analyzed and disseminated to influence health program decisions, and increase the understanding of the relationship between health behavior and health status. For more information see EpiQuery, https://a816-healthpsi.nyc.gov/epiquery/CHS/CHSXIndex.html "TARGET POPULATION The target population of the CHS includes non-institutionalized adults aged 18 and older who live in a household with a landline telephone in New York City (the five borough area). Starting in 2009, adults living in households with only cell phones have also been included in the survey. HEALTH TOPICS Most years the CHS includes approximately 125 questions, covering the following health topics: general health status and mental health, health care access, cardiovascular health, diabetes, asthma, immunizations, nutrition and physical activity, smoking, HIV, sexual behavior, alcohol consumption, cancer screening and other health topics. A core group of demographics variables are included every year to facilitate weighting and comparisons among different groups of New Yorkers. SAMPLING The CHS uses a stratified random sample to produce neighborhood and citywide estimates. Neighborhoods are defined using the United Hospital Fund's (UHF) neighborhood designation, which assigns neighborhood based on the ZIP code of the respondent. New ZIP codes have been added since the UHF's were originally defined. There are 42 UHF neighborhoods in NYC. However, to avoid small sample sizes for CHS estimates, UHF estimates are generally collapsed into 34 UHFs/groups. Starting in 2009, a second sample consisting of cell-only households with New York City exchanges was added. This design is non-overlapping because in the cell-only sample, adults living in households with landline telephones were screened out. A computer-assisted telephone interviewing (CATI) system is used to collect the survey data. The CHS sampling frame was constructed with a list of telephone numbers provided by a commercial vendor. Upon agreement to participate in the survey, one adult is randomly selected from the household to complete the interview. Interviewing is conducted in a variety of languages. Every year, the questionnaire is translated from English into Spanish, Russian, and Chinese. Some years, live translation services are provided by Language Line (including Hindi, Arabic, Farsi, and Haitian Creole). Typically, data collection begins in March of the study year and ends in December. The average length of the survey is 25 minutes. LIMITATIONS The survey sampling methodology does not capture the following groups: households without any telephone service and (prior to 2009) households that only have a cell phone. The CHS also excludes adults living in institutional group housing, such as college dormitories. "
- API data.ny.gov | Last Updated 2019-06-10T17:59:28.000Z
VMT is an estimate of travel based on traffic counts taken along the roads in New York State. Each year travel is estimated as part of the annual report to the Federal Highway Administration through the Highway Performance Monitoring System software application. The VMT estimate is stratified by the roadway Functional Classification of Principal Arterials, Minor Arterials, Collectors, and Local Roads & Street. The VMT data from 1985 through the current year is available.