The land area of Great Falls, MT was 22 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 -
Geographic and Area Datasets Involving Great Falls, MT
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RICAPS Greenhouse Gas Emissions Summary
datahub.smcgov.org | Last Updated 2023-05-26T00:32:38.000ZSummary data of each city's contribution to reduction measures of greenhouse gas emissions in the County. Each city in San Mateo County has the opportunity to develop its own Climate Action Plan (CAP) using tools developed by C/CAG in conjunction with DNV KEMA https://www.dnvgl.com/ and Hara. http://www.verisae.com/default.aspx. This project was funded by grants from the Bay Area Air Quality Management District (BAAQMD) and Pacific Gas and Electric Company (PG&E). Climate Action Plans developed from these tools will meet BAAQMD's California Environmental Quality Act (CEQA) guidelines for a Qualified Greenhouse Gas Reduction Strategy. For more information, please see the RICAPS site: http://www.smcenergywatch.com/progress_report.html
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T10 Bike Volumes
data.sustainablesm.org | Last Updated 2020-02-19T23:07:22.000ZThe City conducts transportation counts, which counts the numbers of vehicles, pedestrians, and bicycles moving through an intersection. Counts are typically conducted every 2 years during the weekday and weekend peak hours. The peak hours represents the time period where traffic counts are the highest due to worker commute. Weekday counts are conducted at all City signalized intersections during the AM Peak Hours (7:00 A -9:00 AM) and PM peak hours (5:30 PM – 7:30 PM) either on a Tuesday, Wednesday, or Thursday in the Fall (when school is in session). Weekend counts are conducted during the midday peak hour (1:00-5:00 PM) either on Saturday or Sunday in the Summer at signalized intersections in the Downtown and Main Street areas, as these areas tend to experience greater traffic as a result of the tourist/visitor population on the weekends. The table below provides the number of intersections that were counted in 2007 – 2013.
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T10 Ped Volumes
data.sustainablesm.org | Last Updated 2020-02-19T22:46:24.000ZThe City conducts transportation counts, which counts the numbers of vehicles, pedestrians, and bicycles moving through an intersection. Counts are typically conducted every 2 years during the weekday and weekend peak hours. The peak hours represents the time period where traffic counts are the highest due to worker commute. Weekday counts are conducted at all City signalized intersections during the AM Peak Hours (7:00 A -9:00 AM) and PM peak hours (5:30 PM – 7:30 PM) either on a Tuesday, Wednesday, or Thursday in the Fall (when school is in session). Weekend counts are conducted during the midday peak hour (1:00-5:00 PM) either on Saturday or Sunday in the Summer at signalized intersections in the Downtown and Main Street areas, as these areas tend to experience greater traffic as a result of the tourist/visitor population on the weekends. The table below provides the number of intersections that were counted in 2007 – 2013.
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City Infrastructure Needs
data.orcities.org | Last Updated 2016-08-08T23:16:13.000ZInformation provided by respondent cities through the 2016 LOC Infrastructure Survey. Data is and aggregation of capital projects needs for the next 20 years.
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RICAPS Water Contribution to Greenhouse Gas Emissions
datahub.smcgov.org | Last Updated 2023-05-26T00:33:05.000ZData by city showing energy contribution to greenhouse gas emissions in the County. This data is part of the Regionally Integrated Climate Action Planning Suite (RICAPS) program. Each city in San Mateo County has the opportunity to develop its own Climate Action Plan (CAP) using tools developed by C/CAG in conjunction with DNV KEMA https://www.dnvgl.com/ and Hara. http://www.verisae.com/default.aspx. This project was funded by grants from the Bay Area Air Quality Management District (BAAQMD) and Pacific Gas and Electric Company (PG&E). Climate Action Plans developed from these tools will meet BAAQMD's California Environmental Quality Act (CEQA) guidelines for a Qualified Greenhouse Gas Reduction Strategy. For more information, please see the RICAPS site: http://www.smcenergywatch.com/progress_report.html
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Utility & Franchise Fees 2014-2015
data.orcities.org | Last Updated 2016-08-08T22:59:28.000ZFranchise agreements are a legal arrangement between a city and another entity for use of the city’s public right-of-way. For using the right-of-way (abbreviated ROW) a company, organization, or other government body must pay a franchise fee or privilege tax. These agreements ensure that cities are compensated for special use of public services. This also prevents city residents from subsidizing extraordinary use of public space. These agreements often take the form of contracts or city ordinances which outline the rate charged, term and conditions, and any extra services provided by either party. The League asks cities their rates and rate calculations for telecommunication and cable franchises in the recent past. Questions are also posed for other franchises, such as electricity, water, garbage, and franchises to other governments. This information is crucial to understanding revenue sources in Oregon cities and to forecasting revenue trends into the future.
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Beach Lab Data
data.cityofchicago.org | Last Updated 2024-03-06T20:00:21.000ZThe 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)
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OLAS/SCL WASH Household Survey Dataset
mydata.iadb.org | Last Updated 2024-03-19T20:08:38.000ZThe OLAS/SCL Household Survey Data Set contains 47 water and sanitation related indicators generated from microdata from national household surveys throughout the region. The data set contains information from 2003-2022 for 22 countries throughout Latin America and the Caribbean. Indicators are provided in terms of household percentage and total households that fall into each category, and can be broken down by various socioeconomic dimensions, including area (urban or rural community), income quintile, migratory status, ethnicity, and disability status. This dataset is the result of a collaboration between INE/WSA and SCL, and is a subset of the larger IDB SCL Indicators dataset.
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Annual Financial Report (ACFR) Data 2018
data.orcities.org | Last Updated 2021-10-28T23:37:31.000ZThis is the City Financial Data for fiscal year 2017. Note that this data has been expanded for FY2018 to include more detailed breakdown of city finances.
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System Development Charge Survey Data
data.orcities.org | Last Updated 2016-09-02T22:00:04.000ZData for the 2016 SDC Survey. NOTE: Some data (such as residential and non-residential fees) are based on an example given to member cities in the survey. The example is provided in the attached survey.