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The student teacher ratio of Oswego County, NY was 13 in 2011. The student teacher ratio of St. Lawrence County, NY was 13 in 2011.

Student Teacher Ratio

Above charts are based on data from the Institute of Education Sciences at National Center for Education Statistics | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Education and Classroom Statistics Datasets Involving St. Lawrence County, NY or Oswego County, NY

  • API

    State University of New York (SUNY) Campus Locations with Websites, Enrollment and Select Program Offerings

    data.ny.gov | Last Updated 2024-09-20T12:38:43.000Z

    Campuses which comprise the State University of New York (SUNY) System. Highlights information on Undergraduate and Graduate enrollment as well as some program area offerings.

  • API

    State University of New York (SUNY) - NYS High School Attended by First Time Undergraduate Students: Beginning Fall 2010

    data.ny.gov | Last Updated 2024-09-20T12:59:42.000Z

    Report by NYS High School of the number of SUNY First Time Undergraduates entering in the Term, who reported attending that High School. The total number of First Time Undergraduates at SUNY from each High School is provided. The total is sub-divided by the SUNY Sector of the Institution the student is attending; Doctoral, Comprehensive, Technology and Community College. The report also provides a total count by NYS County, which is an aggregate of all the high schools in that County.

  • API

    Loan Forgiveness Awards Administered by Higher Education Services Corp: Beginning 2011

    data.ny.gov | Last Updated 2019-06-10T18:02:19.000Z

    This data includes the number of Loan Forgiveness recipients by program type and the region, as designated by the Department of Labor, in which they are employed beginning award year 2011 (for HESC-administered Loan Forgiveness programs only). Data has been collated by recipient region of employment. For this purpose, the current New York State Department of Labor definitions of New York State Regions, as listed on their public web site, were used.

  • API

    Patient Characteristics Survey (PCS): 2017

    data.ny.gov | Last Updated 2020-05-29T14:18:18.000Z

    The number of persons described by survey year (2017) reported in OMH Region‐specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: sex (Male, Female, and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

  • API

    Patient Characteristics Survey (PCS) 2022: Persons Served by Survey Year, Region of Provider, Gender, Age Group and Race/Ethnicity

    data.ny.gov | Last Updated 2022-09-30T21:48:34.000Z

    The data are organized by OMH Region‐specific (Region of Provider), program type, and by the following demographic characteristics of the clients served during the week of the survey: sex (Male, Female, X (Non-binary), and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

  • API

    Patient Characteristics Survey (PCS): 2013

    data.ny.gov | Last Updated 2019-06-10T18:04:45.000Z

    The number of persons described by survey year (2013) reported in OMH Region-specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: gender (Male, Female,Transgender Male, Transgender Female), age (below 5,5–12, 13–17, 18–20, 21–34, 35–44, 45–64, 65–74, 75 and above, and unknown age) and race (White only, Black/ African American Only, Multi-racial, Other and unknown race) and ethnicity (Non-Hispanic, Hispanic, and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

  • API

    Patient Characteristics Survey (PCS): 2015

    data.ny.gov | Last Updated 2019-06-10T18:05:06.000Z

    The number of persons described by survey year (2015) reported in OMH Region‐specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: sex (Male, Female, and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

  • API

    Patient Characteristics Survey (PCS): 2019

    data.ny.gov | Last Updated 2021-06-03T20:54:51.000Z

    The data are organized by OMH Region‐specific (Region of Provider), program type, and by the following demographic characteristics of the clients served during the week of the survey: sex (Male, Female, and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

  • API

    RSBS SMO: Part 1 of 2, New York State Residential Statewide Baseline Study: Single and Multifamily Occupant Telephone or Web Survey

    data.ny.gov | Last Updated 2019-11-15T21:47:19.000Z

    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. This is part 1 (contains: Behavior and Demographics; Building Shell; Kitchen Appliances; and Heating and Cooling) of 2; part 2 (https://data.ny.gov/d/87mp-9bnv) contains: Clothes Washing and Drying; Water Heating; Home Lighting; Pool and Spa; Small Household Appliances; and Miscellaneous Equipment. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes 2,982 single-family and 379 multifamily occupant survey completes for a total of 3,361 responses. The survey involved 2,285 Web, 1,041 telephone, and 35 mini-inspection surveys. The survey collected information on the following building characteristics: building shell, kitchen appliances, heating and cooling equipment, water heating equipment, clothes washing and drying equipment, lighting, pool and spa equipment, small household appliances, miscellaneous energy consuming equipment, as well as behaviors and characteristics of respondents.