- What is the Land Area?
- What is the Population Count?
- What is the Population Density?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Population Rate of Change?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
- What is the Percent Employed?
The water area of Golden Gate, FL was 0 in 2018.
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.
Geographic and Area Datasets Involving Golden Gate, FL
- API noaa-fisheries-swfsc.data.socrata.com | Last Updated 2020-03-12T16:06:45.000Z
This dataset contains detections of acoustic tagged fish from two general locations: Golden Gate (east and west line) and Pt. Reyes. Several Vemco 69khz acoustic receivers were deployed at each of these general locations. The Golden Gate receivers were deployed beginning in April 2005 while the Pt Reyes receivers were deployed beginning in July 2008. The tagged fish in the dataset include all fish tagged by NOAA Santa Cruz and some green sturgeon tagged by NOAA in the Columbia River and Willapa Bay. Only a subset of these tagged fish were detected at the Golden Gate and Pt. Reyes. There are detections of many more fish that are not in the list of tagged fish in this dataset.
- API data.cityofgainesville.org | Last Updated 2021-06-10T17:47:41.000Z
Monthly reclaimed water consumption in Kilo-gallons (kgals) by service address for all customers in the GRU Service Area. Reclaimed water is also known as sewer or wastewater. (Potable water use can be found in another dataset)
- API data.sfgov.org | Last Updated 2021-06-22T02:01:29.000Z
Street Centerlines, active and retired.
- API noaa-fisheries-swfsc.data.socrata.com | Last Updated 2020-03-12T16:06:57.000Z
The project’s objective is to document movement patterns and survival rates of Chinook salmon, steelhead, green sturgeon, and other fish from several sources in the Central Valley of California. Juvenile salmonids from hatcheries or wild caught are implanted with small acoustic transmitters and the location of the fish are recorded on receivers that are placed throughout the watershed from Redding to the Golden Gate. Over 70 receiver locations with over 150 receivers monitor the movement of these fish. These receivers record the date, time, and unique identification number of transmitters that pass within listening range of the receivers. The first acoustic tagging studies began in 2006 and continue today.
- API data.austintexas.gov | Last Updated 2021-04-14T22:11:09.000Z
Annual Performance Measures from Austin-Bergstrom International Airport. Covers a broad spectrum of categories from our four Strategic Focus areas: Customer and Community Value; Operational Excellence; Environmental Stewardship; and Economic Sustainability.
- API data.sfgov.org | Last Updated 2021-06-22T16:48:07.000Z
<i><b>Note: As of April 16, 2021, this dataset will update daily with a five-day data lag.</i></b> <strong>A. SUMMARY</strong> This dataset includes COVID-19 tests by resident neighborhood and specimen collection date (the day the test was collected). Specifically, this dataset includes tests of San Francisco residents who listed a San Francisco home address at the time of testing. These resident addresses were then geo-located and mapped to neighborhoods. The resident address associated with each test is hand-entered and susceptible to errors, therefore neighborhood data should be interpreted as an approximation, not a precise nor comprehensive total. In recent months, about 5% of tests are missing addresses and therefore cannot be included in any neighborhood totals. In earlier months, more tests were missing address data. Because of this high percentage of tests missing resident address data, this neighborhood testing data for March, April, and May should be interpreted with caution (see below) Percentage of tests missing address information, by month in 2020 Mar - 33.6% Apr - 25.9% May - 11.1% Jun - 7.2% Jul - 5.8% Aug - 5.4% Sep - 5.1% Oct (Oct 1-12) - 5.1% To protect the privacy of residents, the City does not disclose the number of tests in neighborhoods with resident populations of fewer than 1,000 people. These neighborhoods are omitted from the data (they include Golden Gate Park, John McLaren Park, and Lands End). Tests for residents that listed a Skilled Nursing Facility as their home address are not included in this neighborhood-level testing data. Skilled Nursing Facilities have required and repeated testing of residents, which would change neighborhood trends and not reflect the broader neighborhood's testing data. This data was de-duplicated by individual and date, so if a person gets tested multiple times on different dates, all tests will be included in this dataset (on the day each test was collected). <strong>The total number of positive test results is not equal to the total number of COVID-19 cases in San Francisco. </strong>During this investigation, some test results are found to be for persons living outside of San Francisco and some people in San Francisco may be tested multiple times (which is common). To see the number of new confirmed cases by neighborhood, reference this map: https://data.sfgov.org/stories/s/Map-of-Cumulative-Cases/adm5-wq8i#new-cases-map <strong>B. HOW THE DATASET IS CREATED</strong> COVID-19 laboratory test data is based on electronic laboratory test reports. Deduplication, quality assurance measures and other data verification processes maximize accuracy of laboratory test information. All testing data is then geo-coded by resident address. Then data is aggregated by <a href="https://data.sfgov.org/Geographic-Locations-and-Boundaries/Analysis-Neighborhoods/p5b7-5n3h ">analysis neighborhood</a> and specimen collection date. Data are prepared by close of business Monday through Saturday for public display. <strong>C. UPDATE PROCESS</strong> Updates automatically at 05:00 Pacific Time each day. Redundant runs are scheduled at 07:00 and 09:00 in case of pipeline failure. <strong>D. HOW TO USE THIS DATASET</strong> Due to the high degree of variation in the time needed to complete tests by different labs there is a delay in this reporting. On March 24 the Health Officer ordered all labs in the City to report complete COVID-19 testing information to the local and state health departments. In order to track trends over time, a data user can analyze this data by "specimen_collection_date". Calculating Percent Positivity: The positivity rate is the percentage of tests that return a positive result for COVID-19 (positive tests divided by the sum of positive and negative tests). Indeterminate results, which could not conclusively determine whether COVID-19 virus was present, are not included in the calculation of percent positive. Percent positivity indicates how widesprea
Sacramento Winter Run Life Cycle Model Estuary Habitat Capacity Model Run Results Preferred Alternativenoaa-fisheries-nwfsc.data.socrata.com | Last Updated 2017-10-10T20:09:23.000Z
InPort Dataset ID: 30851 InPort Entity ID: 36825 Estimation of habitat capacity for Chinook salmon in the Sacramento delta and San Francisco Bay, using hydrologic outputs for three scenarios run for the California Waterfix. Details on methods of capacity estimation can be found in Hendrix et al. 2012 (NOAA Tech memo NMFS-SWFSC-530).
Sacramento Winter Run Life Cycle Model Estuary Habitat Capacity Model Run Results Level One Scenarionoaa-fisheries-nwfsc.data.socrata.com | Last Updated 2017-10-10T19:58:39.000Z
InPort Dataset ID: 30851 InPort Entity ID: 36826 Estimation of habitat capacity for Chinook salmon in the Sacramento delta and San Francisco Bay, using hydrologic outputs for three scenarios run for the California Waterfix. Details on methods of capacity estimation can be found in Hendrix et al. 2012 (NOAA Tech memo NMFS-SWFSC-530).
Sacramento Winter Run Life Cycle Model Estuary Habitat Capacity Mordel Run Results No Action Alternativenoaa-fisheries-nwfsc.data.socrata.com | Last Updated 2017-10-10T20:27:39.000Z
InPort Dataset ID: 30851 InPort Entity ID: 36824 Estimation of habitat capacity for Chinook salmon in the Sacramento delta and San Francisco Bay, using hydrologic outputs for three scenarios run for the California Waterfix. Details on methods of capacity estimation can be found in Hendrix et al. 2012 (NOAA Tech memo NMFS-SWFSC-530).
- API noaa-fisheries-nwfsc.data.socrata.com | Last Updated 2017-04-21T19:13:12.000Z
InPort Dataset ID: 18067 InPort Entity ID: 36219 Water velocity measurements at each site. HACH Ultrasonic Submerged Area Velocity Meters (Sigma 950) were deployed approximately 24-hours at each site. Sensors were 7 cm above the ground in the middle of the culvert, vault, or channel floor.