The water area of Middletown, CT was 1 in 2018. The water area of Salem, MA was 10 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 Salem, MA or Middletown, CT

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    CT School Learning Model Indicators by County (7-day metrics) - ARCHIVE

    data.ct.gov | Last Updated 2023-08-02T14:51:55.000Z

    DPH note about change from 7-day to 14-day metrics: As of 10/15/2020, this dataset is no longer being updated. Starting on 10/15/2020, the school learning model indicator metrics will be calculated using a 14-day average rather than a 7-day average. The new school learning model indicators dataset using 14-day averages can be accessed here: https://data.ct.gov/Health-and-Human-Services/CT-School-Learning-Model-Indicators-by-County-14-d/e4bh-ax24 As you know, we are learning more about COVID-19 all the time, including the best ways to measure COVID-19 activity in our communities. CT DPH has decided to shift to 14-day rates because these are more stable, particularly at the town level, as compared to 7-day rates. In addition, since the school indicators were initially published by DPH last summer, CDC has recommended 14-day rates and other states (e.g., Massachusetts) have started to implement 14-day metrics for monitoring COVID transmission as well. With respect to geography, we also have learned that many people are looking at the town-level data to inform decision making, despite emphasis on the county-level metrics in the published addenda. This is understandable as there has been variation within counties in COVID-19 activity (for example, rates that are higher in one town than in most other towns in the county). This dataset includes the leading and secondary metrics identified by the Connecticut Department of Health (DPH) and the Department of Education (CSDE) to support local district decision-making on the level of in-person, hybrid (blended), and remote learning model for Pre K-12 education. Data represent daily averages for each week by date of specimen collection (cases and positivity), date of hospital admission, or date of ED visit. Hospitalization data come from the Connecticut Hospital Association and are based on hospital location, not county of patient residence. COVID-19-like illness includes fever and cough or shortness of breath or difficulty breathing or the presence of coronavirus diagnosis code and excludes patients with influenza-like illness. All data are preliminary. These data are updated weekly; the previous week period for each dataset is the previous Sunday-Saturday, known as an MMWR week (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf). The date listed is the date the dataset was last updated and corresponds to a reporting period of the previous MMWR week. For instance, the data for 8/20/2020 corresponds to a reporting period of 8/9/2020-8/15/2020. These metrics were adapted from recommendations by the Harvard Global Institute and supplemented by existing DPH measures. For national data on COVID-19, see COVID View, the national weekly surveillance summary of U.S. COVID-19 activity, at https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html Notes: 9/25/2020: Data for Mansfield and Middletown for the week of Sept 13-19 were unavailable at the time of reporting due to delays in lab reporting.

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    Environmental Monitoring Results for Radioactivity: Water Samples

    data.ct.gov | Last Updated 2024-07-05T15:21:41.000Z

    - Reporting units of sample results [where 1 picoCurie (pCi) = 1 trillionth (1E-12) Curie (Ci)]: • Water Samples are reported in pCi/L. - Data Quality Disclaimer: This database is for informational use and is not a controlled quality database. Efforts have been made to ensure accuracy of data in the database; however, errors and omissions may occur. Examples of potential errors include: • Data entry errors. • Lab results not reported for entry into the database. • Missing results due to equipment failure or unable to retrieve samples due to lost or environmental hazards. • Translation errors – the data has been migrated to newer data platforms numerous times, and each time there have been errors and data losses. - Error Results are the calculated uncertainty for the sample measurement results and are reported as (+/-). - Environmental Sample Records are from the year 1998 until present. Prior to 1998 results were stored in hardcopy, in a non-database format. Requests for results from samples taken prior to 1998 or results subject to quality assurance are available from archived records and can be made through the DEEP Freedom of Information Act (FOIA) administrator at deep.foia@ct.gov. Information on FOIA requests can be found on the DEEP website. FOIA Administrator Office of the Commissioner Department of Energy and Environmental Protection 79 Elm Street, 3rd Floor Hartford, CT 06106

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    Patents by Connecticut Inventors 1800-1890

    internal-ct.data.socrata.com | Last Updated 2024-08-16T15:27:38.000Z

    Connecticut Patents 1800-1890 This list was compiled by Museum of Connecticut History staff in the 1990s, and lists all patents by Connecticut inventors between the years of 1800-1890. This period spans a time of incredible industrial growth and inventiveness in Connecticut, and the Yankee ingenuity on display in these patents helped make the state one of the premier industrial centers of the nation and the world. Many of the pre-1836 patents listed here are only known because of annual lists of patents or patent digests that were published by the Patent Office. The actual records were destroyed in a fire in 1836, and many were never reconstructed. All of the pre-1836 patents are known as the “X-Patents,” and those that have been recovered were given patent numbers beginning with the letter X. Patents up to this time had not actually had numbers of any kind, they were simply known by date and title. About five months before the fire, the Patent Office began numbering their patents; this system, now up to seven digits, is still in use today. Patents found in this dataset can be found using the <a href=”https://www.uspto.gov/patents/search/patent-public-search”>Patent Public Search tool</A> on the U.S. Patent Office’s website. The easiest way to locate a patent is to enter the seven-digit serial number into the basic search. The Connecticut Patents 1800-1890 dataset contains names of inventors, assignees if relevant (inventors could “assign” ownership of patents to another person or entity), descriptions of the invention, patent numbers (if available), and date of issue. It also contains a two-digit class code that corresponds to a general subject area. The subjects are: 01 Firearms, guns, cannons, etc. 02 Metallurgy, metalworking, etc. 03 Woodworking, sawmills, etc. 04 Weaving, sewing, looms, etc. 05 Steam boilers, engines 06 Railroads 07 Ships, boats, canals 08 Clothing 09 Agriculture 10 Hardware, tools, etc. 11 Tanning 12 Rubber 13 Musical instruments 14 Medical 15 Foods and cooking 16 Business and labor 17 Clocks 18 Fireplaces, stoves, furnaces, etc. 19 Lanterns, lamps, and lighting 20 Furniture 21 Household items 22 Doors, windows, drawers, trunks, etc. 23 Grinding mills 24 Stonemasonry, mining, etc. 25 Vehicles, non-motorized 26 Chemical processes? Explosives, distilling, paintmaking, etc. 27 Plumbing, pipes, hoses, etc. and water-powered devices 28 Printing, bookmaking, and paper 29 Engines, coolers, elevators, pneumatics, etc. 30 Ivory 31 Military equipment (non-weapons) 32 Sewing machines 33 Toys, games, and leisure (includes bicycles) 34 Equipment for horses 35 Photography 36 Glassware 37 [doesn't exist] 38 Electricity and electronics 39 Telephones 40 Fire safety 41 Construction 42 School equipment 43 Art

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    Connecticut CAMA Data 2023

    data.ct.gov | Last Updated 2024-04-03T16:13:02.000Z

    This dataset contains statewide CAMA information for parcels in the State of Connecticut. This dataset was created by the GIS Office as required by CGS Sec. 4d-90-92. This dataset is a result of the 2023 data collection effort, which included collecting CAMA data from all municipalities via the Councils of Government.