The population count of Franklin Lakes, NJ was 10,883 in 2018.

Population

Population Change

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Demographics and Population Datasets Involving Franklin Lakes, NJ

  • API

    Percent Of Middle School Students (grades 7-8) Who Smoke Cigarettes, New Jersey, by year: Beginning 2014

    healthdata.nj.gov | Last Updated 2017-08-30T17:19:32.000Z

    Ratio: Percentage of middle school (7th-8th grade) students who have used cigarettes on one or more days in the 30 days preceding the survey. Definition: Percentage of middle school (grades 7-8) students who have used cigarettes on one or more days in the 30 days preceding the survey. Data Source: NJDHS DMHAS NJ Middle School Risk and Protective Factor Survey History: FEB 2017 - Data source for this indicator changed to New Jersey Youth Tobacco Survey (YTS) starting with 2014 data. Previous data years were based on PRIDE survey data, New Jersey Department of Human Services. MAR 2017 - Baseline year changed from 2010 to 2014, since YTS and PRIDE data are not comparable. - 2020 targets modified to reflect a 10% improvement over the 2014 baseline for total population and all racial/ethnic groups

  • API

    Hospital Inpatient Discharges (SPARCS De-Identified): 2013

    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

    Labor Force Demographic Characteristics by Commuting Mode Split: 2012 - 2016

    data.cambridgema.gov | Last Updated 2019-09-17T17:16:51.000Z

    This data set provides demographic and journey to work characteristics of the Cambridge Labor Force by primary mode of their journey to work. Attributes include age, presence of children, racial and ethnic minority status, vehicles available, time leaving home, time spent traveling, and annual household income. The data set originates from a special tabulation of the American Community Survey - the 2012 - 2016 version of the Census Transportation Planning Products (CTPP). The Cambridge Labor Force consist of all persons who live in Cambridge who work or are actively seeking employment. For more information on Journey to Work data in Cambridge, please see the full 2015 report (https://www.cambridgema.gov/~/media/Files/CDD/FactsandMaps/profiles/moving_forward_20150930.ashx?la=en).

  • API

    Hospital Inpatient Discharges (SPARCS De-Identified): 2014

    health.data.ny.gov | Last Updated 2019-09-13T16:31:56.000Z

    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

    Workforce Demographic Characteristics by Commuting Mode Split : 2012 - 2016

    data.cambridgema.gov | Last Updated 2019-09-17T17:17:39.000Z

    This data set provides demographic and journey to work characteristics of the Cambridge Workforce by primary mode of their journey to work. Attributes include age, presence of children, racial and ethnic minority status, vehicles available, time arriving at work, time spent traveling, and annual household income. The data set originates from a special tabulation of the American Community Survey - the 2012 - 2016 version of the Census Transportation Planning Products (CTPP). The Cambridge Workforce consist of all persons who work in Cambridge, regardless of home location. For more information on Journey to Work data in Cambridge, please see the full 2015 report: https://www.cambridgema.gov/~/media/Files/CDD/FactsandMaps/profiles/moving_forward_20150930.ashx?la=en).

  • API

    Hospital Inpatient Discharges (SPARCS De-Identified): 2016

    health.data.ny.gov | Last Updated 2019-09-17T19:44:54.000Z

    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

    Hospital Inpatient Discharges (SPARCS De-Identified): 2015

    health.data.ny.gov | Last Updated 2019-09-13T16:33:50.000Z

    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

    USAID Construction Assessment, Subawards: Section 10

    data.usaid.gov | Last Updated 2018-11-13T14:01:02.000Z

    In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the tenth spreadsheet of thirteenin the USAID Construction Assessment, Subawards.