- 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 Water Area?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
- What is the Percent Employed?
The population count of North Lindenhurst, NY was 10,584 in 2018.
Demographics and Population Datasets Involving North Lindenhurst, 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.
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 data.cityofnewyork.us | Last Updated 2020-02-08T01:20:25.000Z
Contains the main body of the “Development Data Book” as of January 1, 2019. The Development Data Book lists all of the Authority's Developments alphabetically and includes information on the development identification numbers, program and construction type, number of apartments and rental rooms, population, number of buildings and stories, street boundaries, and political districts.
- API data.ny.gov | Last Updated 2021-04-27T16:06:09.000Z
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 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.
- API data.ny.gov | Last Updated 2021-04-27T16:06:27.000Z
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 2020-05-27T00:33:28.000Z
The Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI.
- 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 data.ny.gov | Last Updated 2019-06-10T17:59:46.000Z
New York State has just completed a broadband mapping program as part of the national broadband mapping program funded by the National Telecommunications and Information Administration in the US Department of Commerce. Information about the availability of high-speed Internet services, commonly called Broadband, was collected from broadband provider companies regarding the technology type and speed of services offered. The data was updated every six months for five years, and is shown on the NYS Broadband Map at www.broadbandmap.ny.gov as well as the National Broadband Map at www.broadbandmap.gov. The data on the map depicts broadband availability at the Census Block level. This table summarizes the information for each municipality (town, city, village, Indian Reservation) in New York State.
- 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.