The land area of Crystal Falls, MI was 3 in 2017.
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 Crystal Falls, MI
- API
Beach E. coli Predictions
data.cityofchicago.org | Last Updated 2024-09-03T04:55:05.000ZThe 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
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.
- API
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.
- API
MDOT Plant Manual for Slope Planting
data.michigan.gov | Last Updated 2024-05-28T13:03:58.000ZThis plant manual identifies plants and planting practices ideal for slope stabilization along urban highways. Appropriate plant selections are adapted to environmental stresses and harsh site conditions along depressed highway slopes found in urban areas. The plant selections also meet additional design criteria (e.g., low growing to allow clear vision, aesthetic appeal). This research was conducted by Michigan State University Department of Horticulture and Dr. Cregg. This research was funded and managed by the Michigan Department of Transportation, Nanette Alton and Yige Qu - Project Managers. This dataset is intended to be updated annually, as needed by roadside development staff. By using this dataset, you are accepting the terms of use attached. Dataset Owner Contact: MDOT-PlantManual@michigan.gov
- API
Beach Lab Data
data.cityofchicago.org | Last Updated 2024-09-04T19:00:17.000ZThe 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)
- API
Micro-Market Recovery Program - Permits
data.cityofchicago.org | Last Updated 2024-10-26T05:06:26.000ZThe City of Chicago launched the Micro-Market Recovery Program (MMRP), a coordinated effort among the City, not-for-profit intermediaries, and non-profit and for-profit capital sources to improve conditions, strengthen property values, and create environments supportive of private investment in targeted markets throughout the city. The goal of MMRP is to improve conditions, strengthen property values, and create environments supportive of private investment in targeted areas by strategically deploying public and private capital and other tools and resources in well-defined micro-markets. This MMRP Permits dataset contains all Department of Buildings (DOB) Permits that have occured at properties falling within any MMRP Zone. Permits, Cases and Violations can be linked to the MMRP Geographies dataset using ADDRKEY or ADDRGRPKEY. To link Violations and Inspections to their Permits and Cases use Violation PERMITORCASEKEY to link to Permits APKEY_PERMIT and Cases APKEY_CASE. For more information on the MMRP program, please see http://www.regionalhopi.org/content/city-chicago-micro-market-recovery-program-overview.
- API
Micro-Market Recovery Program - Violations and Inspections
data.cityofchicago.org | Last Updated 2024-10-26T05:09:43.000ZThe City of Chicago launched the Micro-Market Recovery Program (MMRP), a coordinated effort among the City, not-for-profit intermediaries, and non-profit and for-profit capital sources to improve conditions, strengthen property values, and create environments supportive of private investment in targeted markets throughout the city. The goal of MMRP is to improve conditions, strengthen property values, and create environments supportive of private investment in targeted areas by strategically deploying public and private capital and other tools and resources in well-defined micro-markets. This MMRP Violations and Inspections dataset contains Department of Buildings (DOB) Violations and associated Inspections that have occured at properties falling within an MMRP Zone. Permits, Cases and Violations can be linked to the MMRP Geographies dataset using ADDRKEY or ADDRGRPKEY. To link Violations and Inspections to their Permits and Cases use Violation PERMITORCASEKEY and link to Permits APKEY_PERMIT and Cases APKEY_CASE. *Note: Inspections are included only when at least one violation was written. Inspections without violations are not included in this dataset.
- API
Micro-Market Recovery Program - Cases
data.cityofchicago.org | Last Updated 2024-10-26T05:02:50.000ZThe City of Chicago launched the Micro-Market Recovery Program (MMRP), a coordinated effort among the City, not-for-profit intermediaries, and non-profit and for-profit capital sources to improve conditions, strengthen property values, and create environments supportive of private investment in targeted markets throughout the city. The goal of MMRP is to improve conditions, strengthen property values, and create environments supportive of private investment in targeted areas by strategically deploying public and private capital and other tools and resources in well-defined micro-markets. This MMRP Case dataset contains all Department of Buildings (DOB) Cases that have occured at properties falling within any MMRP Zone. Permits, Cases and Violations can be linked to the MMRP Geographies dataset using ADDRKEY or ADDRGRPKEY. To link Violations and Inspections to their Permits and Cases use Violation PERMITORCASEKEY to link to Permits APKEY_PERMIT and Cases APKEY_CASE. For more information on the MMRP program, please see http://www.regionalhopi.org/content/city-chicago-micro-market-recovery-program-overview.
- API
Iowa Geographic Names
mydata.iowa.gov | Last Updated 2024-09-20T22:00:21.000ZThis dataset provides the geographic names data for Iowa. All names data products are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names. The GNIS contains the federally recognized name of each feature and defines its location by State, county, USGS topographic map, and geographic coordinates. GNIS also lists variant names, which are non-official names by which a feature is or was known. Other attributes include unique Feature ID and feature class. Feature classes under the purview of the U.S. Board on Geographic Names include natural features, unincorporated populated places, canals, channels, reservoirs, and more.
- API
Testing Nudges to Increase Handwashing in Schools Among Pupils in the Philippines, 2019 Handwashing Observations Dataset
datahub.usaid.gov | Last Updated 2024-07-12T09:59:02.000ZIn 2019-2020, IDinsight evaluated a handwashing “nudges” intervention in Zamboanga del Norte elementary schools. The tested intervention consisted of the following nudges: painted footpath with spray-painted footprints from toilet stall to handwashing station, calendar of handwashing posters, “watching eye” sticker above the handwashing station, and arrow sticker pointing to a soap dish. This data was collected through observations of handwashing after toilet use.