The land area of New Buffalo, MI was 3 in 2018.

Land Area

Water Area

Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.

Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.

Above charts are based on data from the U.S. Census American Community Survey | 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

Geographic and Area Datasets Involving New Buffalo, MI

  • API

    Gasoline Retail Prices Weekly Average by Region: Beginning 2007

    data.ny.gov | Last Updated 2024-10-18T14:30:53.000Z

    Gasoline retail prices weekly average by region dataset provides the weekly average retail gasoline prices for New York State and sixteen New York metropolitan regions in U.S. dollars per gallon. Data is a weekly average from October 2007 through current. Some metropolitan regions begin in 2017. Average daily retail gasoline prices are collected from the American Automobile Association (AAA) Daily Fuel Gauge Report. The AAA Daily Fuel Gauge Report prices are averaged to produce a weekly average retail price for New York State and each metropolitan region. The New York State metropolitan regions in the dataset are Albany (Albany-Schenectady-Troy), Batavia, Binghamton, Buffalo (Buffalo-Niagara Falls), Dutchess (Dutchess-Putnam), Elmira, Glens Falls, Ithaca, Kingston, Nassau (Nassau-Suffolk), New York City, Rochester, Syracuse, Utica (Utica-Rome), Watertown (Watertown-Fort Drum), and White Plains. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.

  • API

    FY2014 MI Business Development Program Report

    transparencyarchive.michigan.gov | Last Updated 2016-11-18T18:46:58.000Z

    This table is generated off of a report for the Michigan legislature. To see the full report and footnotes, go to https://transparency.michigan.gov/FY2014-Business-Development-Program/FY2014-Business-Development-Program-Report/r5hg-r2wf

  • API

    Diesel Retail Price Weekly Average by Region: Beginning 2007

    data.ny.gov | Last Updated 2024-10-18T14:30:51.000Z

    Diesel retail prices weekly average by region dataset provides the weekly average retail diesel prices for New York State and eight New York metropolitan regions in U.S. dollars per gallon. Data is a weekly average from October 2007 through current. Some metropolitan regions begin in 2017. Average daily retail diesel prices are collected from the American Automobile Association (AAA) Daily Fuel Gauge Report. The AAA Daily Fuel Gauge Report prices are averaged to produce a weekly average retail price for New York State and each metropolitan region. The New York State metropolitan regions in the dataset are Albany (Albany-Schenectady-Troy), Batavia, Binghamton, Buffalo (Buffalo-Niagara Falls), Dutchess (Dutchess-Putnam), Elmira, Glens Falls, Ithaca, Kingston, Nassau (Nassau-Suffolk), New York City, Rochester, Syracuse, Utica (Utica-Rome), Watertown (Watertown-Fort Drum), and White Plains. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.

  • API

    Beach E. coli Predictions

    data.cityofchicago.org | Last Updated 2024-09-03T04:55:05.000Z

    The Chicago Park District issues swim advisories at beaches along Chicago's Lake Michigan lakefront based on E. coli levels. This dataset shows predicted E. coli levels based on an experimental analytical modeling approach.

  • API

    Monthly HELP (Highway Emergency Local Patrol) Assists: Beginning 2010

    data.ny.gov | Last Updated 2024-06-05T17:51:17.000Z

    The HELP (Highway Emergency Local Patrol) file provides the number of motorists assisted by month, by region, in vehicles traveling on over 1,450 miles of limited access interstate roadways, parkways, and expressways on Long Island, in New York City, the Lower Hudson Valley, Buffalo, Syracuse, Rochester, and the Albany Capital District.

  • API

    FY2015 MI Business Development Program Report

    transparencyarchive.michigan.gov | Last Updated 2016-11-18T18:51:23.000Z

    This table is generated off of a report for the Michigan legislature. To see the full report and footnotes, go to https://transparency.michigan.gov/Michigan-Economic-Development-Corporation/FY2015-Michigan-Strategic-Fund-Act-Annual-Report/wrfw-fizh

  • API

    Beach Lab Data

    data.cityofchicago.org | Last Updated 2024-09-04T19:00:17.000Z

    The Chicago Park District collects and analyzes water samples from beaches along Chicago’s Lake Michigan lakefront. The Chicago Park District partners with the University of Illinois at Chicago Department of Public Health Laboratory to analyze water samples using a new DNA testing method called Rapid Testing Method (qPCR analysis) which tests for Enterococci in order to monitor swimming safety. The rapid testing method (qPCR analysis) is a new method that measures levels of pathogenic DNA in beach water. Unlike the culture based test that requires up to 24 hours of processing, the new rapid testing method requires a 4-5 hours for results. The Chicago Park District can use results of the rapid test to notify the public when levels exceed UPEPA recommended levels, which is 1000* CCE. When DNA bacteria levels exceed 1000 CCE, a yellow swim advisory flag is implemented. For more information please refer to the USEPA Recreational Water Quality Criteria (http://water.epa.gov/scitech/swguidance/standards/criteria/health/recreation). Historically, the Chicago Park District used the culture based analysis method and statistical prediction models to monitor beach water quality. The culture based method tests for Escherichia coli (E. coli) bacteria which is an indicator species for the presence of disease-causing bacteria, viruses, and protozoans that may pose health risks to the public. This method requires 18-24 hours of processing to receive results. The Chicago Park District would use results of the culture based method to notify the public when levels exceed UPEPA recommended levels, which is 235* CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. This standard is still used at most beaches throughout the Great Lakes region. For more information please refer to the USEPA Recreational Water Quality Criteria. The statistical prediction model forecasted real-time Escherichia coli (E. coli) bacteria levels present in the water. The Chicago Park District (CPD) in partnership with the US Geological Survey, developed statistical prediction models by using weather data pulled from CPD buoys (https://data.cityofchicago.org/d/qmqz-2xku) and weather stations (https://data.cityofchicago.org/d/k7hf-8y75). The Chicago Park District would use results of the predictive model to notify the public when bacteria levels would exceed 235 CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. * The unit of measurement for Escherichia coli is Colony Forming Units (CFU) per 100 milliliters of water. (Culture Based Method / Statistical Prediction Model) *The unit of measuring DNA is Enterococci Calibrator Cell Equivalents (CCE) per 100 milliliters of water. (Rapid Testing Analysis)

  • API

    FY2016 MI Business Development Program Report

    transparencyarchive.michigan.gov | Last Updated 2018-02-02T16:54:19.000Z

  • API

    2013 Brownfield Redevelopment Financing Act Rpt

    transparencyarchive.michigan.gov | Last Updated 2016-11-18T18:29:15.000Z

    This table is generated off of a report for the Michigan legislature. To see the full report and footnotes, go to https://transparency.michigan.gov/2013-Brownfield-Redevelopment-Financing-Act/2013-Brownfield-Redevelopment-Financing-Act-Rpt/8vth-sd6n

  • API

    Sub-County Data for Selected Health Outcomes in New York State, 2008-2012

    health.data.ny.gov | Last Updated 2021-09-09T19:48:33.000Z

    This dataset includes average annual crude and age-adjusted rates for asthma, chronic obstructive pulmonary disease (COPD) and myocardial infarction (MI) in New York State at sub-county resolution for the time period 2008-2012. Emergency Department (ED) visit and hospitalization data for these health outcomes in NYS were generated from the Statewide Planning and Research Cooperative System (SPARCS) database which collects information on discharges from hospitals in NYS. </br> The data reflect people who have a health condition that is serious enough to require a hospital admission or ED visit and do not include conditions managed through visit to a primary care physician. Data show the number of hospitalizations or ED visits rather than the number of patients who were admitted or seen for each illness. </br> For more information, visit https://health.ny.gov/environmental/public_health_tracking/.