The land area of Oxoboxo River, CT was 4 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 Oxoboxo River, 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

    Water Levels and Flows

    data.edmonton.ca | Last Updated 2024-10-15T01:29:02.000Z

    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

    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 2024-09-22T11:31:47.000Z

    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

    DWR Dam Safety Non-Jurisdictional Dam

    data.colorado.gov | Last Updated 2024-10-14T06:02:39.000Z

    A Non-Jurisdictional Dam is a dam creating a reservoir with a capacity of 100 acre-feet or less and a surface area of 20 acres or less and with a height measured as defined in Rules 4.2.5.1 and 4.2.19 of 10 feet or less. Non-jurisdictional size dams are regulated and subject to the authority of the State Engineer consistent with sections 37- 87-102 and 37-87-105 C.R.S.

  • API

    Aquatic Biological Monitoring Sampling Locations: Beginning 1980

    data.ny.gov | Last Updated 2024-05-02T15:02:49.000Z

    The Division of Water Stream Biomonitoring Unit (SBU) dataset contains the point sampling locations at which benthic macroinvertebrates, field chemistry, and at some locations, sediment, fish or diatoms have been collected as part of the Rotating Integrated Basin Studies (RIBS) program, Rapid Biological Assessments (RAS), or special studies. The data collected are used for water quality assessment (input to the Waterbody Inventory, completion of the 305(b) report and 303(d) list of impaired Waters) and for track-down of water quality problems. The data set is maintained by the Division of Water, Bureau of Water Assessment and Management, Stream Biomonitoring Unit.

  • API

    Public Fishing Rights Parking Areas

    data.ny.gov | Last Updated 2022-10-07T21:55:53.000Z

    The New York State Department of Environmental Conservation (DEC) maintains a network of Public Fishing Right parking areas along trout streams in New York. This dataset represents the locations and information about those parking areas. Links to PDF maps of the actual Public Fishing Rights along the streams are available as part of the data set.

  • API

    Major Water Sources in Iowa - Streams

    mydata.iowa.gov | Last Updated 2023-08-30T20:59:31.000Z

    The Major Water Sources list was created by IDNR to address concerns that new confinements would be constructed within view of "floatable/canoeable" rivers. The definition of major water source in Iowa Administrative Code - Natural Resource Commission - Chapter 65 is: "a water source that is a lake, reservoir, river or stream located within the territorial limits of the state, or any marginal river area adjacent to the state, if the water source is capable of supporting a floating vessel capable of carrying one or more persons during a total of a six month period in one out of ten years, excluding periods of flooding." The list was created by getting the counties to identify "canoeable" streams and with additional input from DNR staff.