The land area of Good Hope, AL was 8 in 2009.

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 Good Hope, AL

  • API

    Restaurant Inspections in Tri-County Colorado 2018

    data.colorado.gov | Last Updated 2024-10-22T10:58:36.000Z

    Restaurant Inspection data for food service facilities within Adams, Arapahoe, and Douglas counties in Colorado provided by Tri-County Health Department (TCHD) in 2018.

  • API

    Recognized Shop Healthy Stores

    data.cityofnewyork.us | Last Updated 2023-11-15T16:59:12.000Z

    Bodegas & Grocery Stores Receiving Recognition from Borough President's Office Each year, bodegas and grocery stores located in and around Action Center catchment areas participate in the Shop Healthy NYC program's Retail Challenge to increase (1) availability of healthier foods, such as low-sodium canned goods, healthier snacks and deli options; (2) promotion of healthier foods by posting Shop Healthy marketing materials for healthier foods and removing unhealthy advertising from the front door; and (3) visibility of healthier foods by placing them in more prominent locations, such as placing produce at the checkout counter or near the front entrance of the store, and water and other low-calorie drinks at eye-level. Stores that have implemented all of the program’s criteria at the conclusion of the Retail Challenge, and maintain them for at least one month, receive a recognition award from the Borough President's Office to acknowledge their efforts and dedication to make the healthy choice, the easier choice for their communities. This is a manually compiled list of stores, which is based on data collected through implementation checklists; these are forms completed by Shop Healthy staff as part of store observations that track whether each criteria has been met. At this time, the program does not have processes in place to ensure that stores maintain the changes past one-month.

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    Restaurant Inspections in Tri-County Colorado

    data.colorado.gov | Last Updated 2024-10-22T10:58:36.000Z

    Restaruant Inspection data for food service facilities within Adams, Arapahoe, and Douglas counties in Colorado provided by Tri-County Health Department (TCHD).

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    NOAA - Sanctuary and Monument reporting areas providing resource services at an acceptable level

    performance.commerce.gov | Last Updated 2024-03-28T20:23:00.000Z

    An important purpose of national marine sanctuaries is to ensure that the significant resources they protect provide benefits to the public. This performance measure is intended to track the extent to which marine sanctuaries benefit the public through the provision of “resource services”. Resource services include commonly defined “ecosystem services” as well as the services provided by archaeological resources. The measure uses status ratings from sanctuary condition reports to quantify the proportion of services rated as either “Good” or “Good/Fair,” both of which are considered acceptable levels of service potential.

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    GDP by Metropolitan Statistical Area

    data.colorado.gov | Last Updated 2024-10-22T11:04:16.000Z

    Gross Domestic Production (GDP) in millions of 2009 Dollars by industry per Metropolitan Statistical Area (MSA), from 2001 to 2017 in Colorado, as provided by the Bureau of Economic Analysis (BEA).

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    NYC Building Energy and Water Data Disclosure for Local Law 84 (2022-Present)

    data.cityofnewyork.us | Last Updated 2024-10-01T19:56:35.000Z

    Local Law 84 of 2009 (LL84) requires annual energy and water benchmarking data to be submitted by owners of buildings with more than 50,000 square feet. This data is collected via the Environmental Protection Agency's (EPA) <a href="https://www.energystar.gov/buildings/tools-and-resources/portfolio-manager-0">Portfolio Manager website</a> Each property is identified by it's EPA assigned property ID, and can contain one or more tax lots identified by one or more BBLs (Borough, Block, Lot) or one or more buildings identified by one or more building identification numbers (BIN) Please visit <a href="https://www1.nyc.gov/site/buildings/codes/benchmarking.page">DOB's Benchmarking and Energy Efficiency Rating page</a> for additional information.

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    BREATHE: Edmonton's Green Network Strategy - 2016 Survey Results

    data.edmonton.ca | Last Updated 2022-02-25T21:39:48.000Z

    Setting Priorities for Edmonton’s Green Network Strategy What is Open Space? Open spaces include all outdoor land and water that is publicly owned, and/or publicly accessible. Open spaces can be parks, plazas, boulevards, main streets, ceremonial spaces, natural and protected areas, community gardens, sports fields, and green infrastructure. What is the Green Network Strategy? Edmonton’s Green Network Strategy will examine how open space in the City of Edmonton functions as an integrated network of public spaces that provide real, measureable value to Edmontonians. Open spaces contribute to human health and wellness, improve the urban environment, and provide places for people to come together. These contributions are the central themes of the Green Network Strategy, and provide the organizing framework for assessing open space: • Ecology: Supports and enhances the environment • Wellness: Promotes healthy living • Celebration: Connects people to each other and builds a sense of place. The Survey By completing this survey, you are providing valuable information that will help the City of Edmonton develop an integrated network of open spaces that meets the needs and priorities of Edmontonians. **** This was single topic of particular interest to the City, which was conducted in 2016. To view the survey questions, click on the following link: https://www.edmontoninsightcommunity.ca/R.aspx?a=1011&as=ct4cG2Cs8X&t=1 Open from May 2 through to September 2, 2016. At the time the survey was launched survey invitations were sent to 7,233 Insight Community Members. 1,541 members completed the survey which represents a completion rate of 21%. A total of 2,274 respondents completed the survey: 1,541 Insight Community Members and 733 from the call to action button on our web page or from using the anonymous link(s) on edmonton.ca/surveys. The demographics from external/anonymous link has been captured and is combined with the demographics of the Community Members. Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

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    OLAS/SCL WASH Household Survey Interpolated Dataset

    mydata.iadb.org | Last Updated 2024-09-26T15:04:31.000Z

    This dataset is an interpolated version of the OLAS/SCL Household Survey Data Set, and includes data from Latin America and Caribbean countries from 2003-2023. The interpolation can be used for understanding trends in water and sanitation access in the region.

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    Land Use_data

    opendata.utah.gov | Last Updated 2024-04-10T19:40:16.000Z

    This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.

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    Citizen Satisfaction Survey Results Previous Years To Present

    data.kcmo.org | Last Updated 2023-08-23T17:37:21.000Z

    This data set contains citizen satisfaction survey results. The citizen survey is administered on a quarterly basis. See the report by visiting https://data.kcmo.org/dataset/2013-14-Kansas-City-Missouri-Citizen-Satisfaction-/m8hg-mhad.