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The land area of North Granby, CT was 8 in 2013.

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 North Granby, CT

  • API

    Spill Incidents from January 1, 1996 to June 30, 2022

    data.ct.gov | Last Updated 2024-10-10T16:14:32.000Z

    Note: Please use this link to leave the data view and to see the full description: https://data.ct.gov/Environment-and-Natural-Resources/Spill-Incidents/wr2a-rnsg Description of Dataset: This data set represents information reported between July 1, 1996 and June 30, 2022 to the Department of Energy and Environmental Protection (CT DEEP), generally to the CT DEEP Dispatch Center, regarding releases of substances to the environment, generally through accidental spills. For information related to releases reported to CT DEEP from July 1, 2022 to the present, go to Incident Reports for Releases Reported to CT DEEP July 1, 2022 to present at: https://connecticut.hazconnect.com/listincidentpublic.aspx For a dataset related to releases reported to CT DEEP from July 1, 2022 to recent refer to the CT Open Data dataset: https://data.ct.gov/Environment-and-Natural-Resources/Spill-Incidents-from-July-1-2022-to-Recent-for-Dow/ffju-s5c5 Connecticut General Statutes Section 22a-450 requires anyone who causes any discharge, spillage, uncontrolled loss, seepage or filtration of oil or petroleum or chemical liquids or solid, liquid or gaseous products, or hazardous wastes which poses a potential threat to human health or the environment to report that release to the CT DEEP. Reports of releases from other persons are also included in this dataset. Examples of what may be included in a spill incident record includes: Administrative information (unique spill case number). Spill date/time. Location. Spill source and cause. Material(s) and material type spilled. Quantity spilled. Measurement units. Surface water bodies affected. Data limitations and factors to consider when using this data: This data is limited to information about a spill incident as it was known at the time it was reported to CT DEEP. Although some data reflects updated information after the time of the initial notification, CT DEEP is unable to field check and verify all reported information. Therefore, information later determined to be incomplete or inaccurate may exist in this data set. There may also be spelling errors or other unintentionally inaccurate data that was transcribed in the spill incident report. This dataset is a subset of records and information that may be available about releases that have occurred at specific locations. This dataset does not replace a full review of files publicly available either on-line and/or at CT DEEP’s Records Center. For a complete review of agency records for this or other agency programs, you can perform your own search in our DEEP public file room located at 79 Elm Street, Hartford CT or at our DEEP Online Search Portal at: https://filings.deep.ct.gov/DEEPDocumentSearchPortal/Home . If errors are found or there are questions about the data, please contact the program unit using the following email address: DEEP.SpillsDocs@ct.gov

  • API

    CT Occupational Employment & Wages (OES) - 2022-Q1

    data.ct.gov | Last Updated 2024-08-06T15:55:11.000Z

    The Connecticut Occupational Employment and Wage data provides employment and wage data by occupation and is based on the results of the Occupational Employment Statistics (OES) survey. The OES program conducts a bi-annual mail survey designed to produce estimates of employment and wages for over 800 occupations. These estimates are generated at the national, state, and metropolitan area levels. For more information, please visit us at http://www1.ctdol.state.ct.us/lmi/wages/default.asp.

  • API

    CT Department of Labor, Office of Research - LAUS Substate June 2023

    data.ct.gov | Last Updated 2024-07-22T13:02:41.000Z

    The Local Area Unemployment Statistics (LAUS) program produces monthly employment, unemployment, and labor force data for Census regions and divisions, States, counties, metropolitan areas, and many cities, by place of residence. The LAUS program is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). A major source of labor force data estimates, the Current Population Survey (CPS) includes a sample of over 1,600 Connecticut households each month regarding the labor force status of their occupants Further information from the CT Department of Labor is available here: https://www1.ctdol.state.ct.us/lmi/LAUS/default.asp

  • API

    Local Area Unemployment Statistics

    data.ct.gov | Last Updated 2024-10-23T11:32:03.000Z

    The Local Area Unemployment Statistics (LAUS) program is a federal-state cooperative effort which produces monthly estimates of produces monthly and annual employment, unemployment, and labor force data for approximately 7,000 areas including Census regions and divisions, States, counties, metropolitan areas, and many cities. This dataset includes data for all 50 states, the District of Columbia, and Puerto Rico. To only see data for Connecticut, create a filter where "State name" is equal to "Connecticut". For more information on the LAUS program and data visit: https://www.bls.gov/lau/ For more information from the CT Department of Labor visit: https://www1.ctdol.state.ct.us/lmi/LAUS/default.asp

  • API

    Water Levels and Flows

    data.edmonton.ca | Last Updated 2024-10-24T01:28:52.000Z

    A combining of data from 23 Water Level and Flow monitoring stations from water areas in Alberta that directly influence the Water Level and Flow of the North Saskatchewan River. A combination of data from 3 Water Level and Flow monitoring stations from water areas in Albert that directly influence the Water Level and Flow of the Sturgeon River. This data is sourced from the Government of Alberta website and as such the Government of Alberta's disclaimer covers this data. Government of Alberta Disclaimer: Data provided through this web app is provisional and preliminary in nature. Data is automatically generated by remote equipment that may not be under control of the Government of Alberta. This data has not been reviewed or edited for accuracy and may be subject to significant change when reviewed or corrected. Please exercise caution and carefully consider the provisional nature of the information provided. The Government of Alberta assumes no responsibility for the accuracy or completeness of this data and any use of it is therefore, entirely at your own risk. Additional Government of Alberta "Provisional Data Disclaimer": Alberta Environment routinely collects real-time hydrometeorological data from meteorological and stream gauges using telephone and communications satellites to support its water resources management activities. These gauges are owned and operated by different organizations and partners outside the Alberta Government. Near Real-Time data provided at this site are provisional and preliminary in nature. They are automatically generated by remote equipment that may not be under Alberta Government control and have not been reviewed or edited for accuracy. These data may be subject to significant change when manually reviewed and corrected. The accuracy of the data can be affected by many factors including: - malfunction of recording equipment - algal and aquatic growth in the stream which affects the stage-discharge relationship - backwater from ice or debris such as log jams - changes to the stream bed geometry Please exercise caution and carefully consider the provisional nature of the information provided. The Government of Alberta assumes no responsibility for the accuracy or completeness of these data and any use of them is entirely at your own risk. “

  • API

    CT Municipalities

    data.ct.gov | Last Updated 2024-06-29T21:43:37.000Z

    The CT Municipalities layer consists of individual polygons representing each of the 169 municipalities that make up the state of Connecticut. This feature class is based on the Towns layer originally created by CTDEEP from USGS maps. The towns from the CTDEEP data were dissolved to create 169 records (one for each town). Fields were added and deleted to create a generic schema.The CT Municipalities feature class was created in (municipality) alphabetical order. Fields were added to identify the municipality number and the CTDOT Municipality number, which differ from each other in some cases. In 1947 the town of Saybrook officially changed its name to Deep River. Other State agencies and municipalities changed their numbering systems to reflect this name change, however, most of what is now CTDOT kept their existing numbering system. This is why the CTDOT town number for Deep River is 122, the number formerly assigned to Saybrook.The square miles associated with each town are for their interior land mass area. Coastal communities have boundaries that extend into Long Island Sound. These town boundary extensions into Long Island Sound are not included in the square miles field.CTDOT has created and will maintain a cartographic rendering of the geometric shape of Municipal boundaries. Official Town and City designations as incorporated areas consisting of an authorized governing body are managed by CT's Office of Policy and Management (OPM).CTDOT has undertaken a good faith effort to represent the boundaries cartographically in a fair and equitable fashion, from the best available data compiled from existing state, regional, and local resources including - existing historical cartographic renderings of the boundary locations, supplemental survey information, and map submissions.  Corrections can be submitted to the CTDOT for incorporation and correction where applicable.Attribution was assigned to designations managed by a variety of entities that strictly follow Municipal boundaries and additional designations will be added as requested by State, regional, and local partners.

  • API

    Elevation Benchmarks

    data.cityofchicago.org | Last Updated 2013-02-28T15:29:13.000Z

    The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.

  • API

    Prescription Monitoring Program: Opioid, Benzodiazepine, Stimulant, Naloxone, and Gabapentin Prescription Count & Rate by Patient Residence

    data.ct.gov | Last Updated 2024-07-29T18:55:21.000Z

    This dataset provides the prescription counts and rates per 1,000 residents by town for opioid, benzodiazepine, stimulant, gabapentin, & naloxone dispensations. The most current population data available at the end of a quarter is used to calculate rates. This only includes dispensations to CT residents reported to the CT Prescription Monitoring & Reporting System (CPMRS). Beginning in 2024, prescriptions associated with the town & zip code Canaan, 06018 have been moved to North Canaan in an effort to accurately reflect the locations of the prescriptions.

  • API

    Connecticut Sales and Use Tax Data

    data.ct.gov | Last Updated 2024-08-22T18:52:48.000Z

    The Sales and Use Tax is a state-imposed tax on various transactions, including the sale, rental, or lease of goods, sale of taxable services, and operation of lodging establishments within Connecticut. Individuals and businesses engaging in these activities are required to register with the Department of Revenue Services (DRS) and obtain a Sales and Use Tax Permit. Tax rates vary depending on the type of transaction, with special rates applying to certain sales, such as meals, luxury items, and other specific goods. Businesses are required to electronically file Form OS-114 to report all sales activity, regardless of whether taxes are due.

  • API

    Nova Scotia Lake Survey Lakes Locations

    data.novascotia.ca | Last Updated 2021-06-17T12:11:21.000Z

    A shapefile of freshwater water bodies hat have been sampled as part of the Nova Scotia Lake Survey. The Nova Scotia Lake Survey program is a partnership initiative between Nova Scotia Environment (NSE) and Nova Scotia Fisheries and Aquaculture (NSDFA) to inventory lakes throughout the province determining baseline water quality, in support of both sport fisheries and water resource management areas. The following weblink connects to a Nova Scotia Environment web map that includes the locations of the monitored lakes within the province and an alternative method for downloading the same lake chemistry dataset: http://nse.maps.arcgis.com/apps/webappviewer/index.html?id=7ded7a30bef44f848e8a4fc8672c89bd