Open data is public data collected by the city through its routine business activities and published in a format that is easy to search, easy to download, and easy to combine with other data sets from other sources; it does not include private or confidential data about individuals.
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U.S. Census Bureau QuickFacts statistics for Tampa city, Florida. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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Municipal boundaries within Hillsborough County Florida
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Building Footprints symbolized by Feature Code to match the Community Base Map.Data updated monthly.Data refreshed every 24 hours.
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Municipal boundaries within Hillsborough County FloridaData updated as needed.Data refreshed every 24 hours.
U.S. Government Workshttps://www.usa.gov/government-works
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Building permits in Tampa, FL applied for since 2010 (updates daily).
Data is published in the BLDS data standard (http://permitdata.org).
Descriptions of permit types can be found at: http://www.tampagov.net/sites/default/files/permit_application_types_companion_guide.pdf
Explore detailed Tampa import data of City Furniture in the USA—product details, price, quantity, origin countries, and US ports.
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Planning Overlay districts within the city.Data updated as needed.Data refreshed every 24 hours.
This dataset contains multiple entries of Microfiche data that was provided by the Bureau of Commercial Fisheries, Fish and Wildlife Service, National Marine Fisheries Service, Panama City. Following is a list of data report number and the title of the microfiche entry. Data Report 14 is entitled "Hydrographic Observations of Tampa Bay, Florida, and Adjacent Gulf of Mexico - 1963". The authors are J.H. Finucane and A. Dragovich. (2/2 microfiche). Data Report 4 is entitled "Hydrographic Observations of tampa bay, florida and Adjacent Waters, August 1961 through December 1962". The authors are Carl H. Saloman, John H. Finucane and John A. Kelly, Jr. (6/6 microfiche). Data Report 13 is entitled "Oceanographic Observations of Tampa Bay, Charlotte Harbor, Pine Island Sound, Florida, and Adjacent Waters of the Gulf of Mexico, February 1964 through February 1965". The authors are A. Dragovich, J.A. Kelly and J.H. Finucane. (2/2 microfiche). Data Report 84 is entitled "Hydrographic and Meteorological Observations from Tampa Bay and Adjacent Waters - 1971". The author is C.H. Saloman (9/9 microfiche). Data Report 55 is entitled "Hydrographic Observations in Tampa Bay, Florida and Adjacent Gulf of Mexico 1967". The authors are C.H. Saloman and J. L. Taylor, April 1971. (2/2 microfiche). Data Report 24 is entitled "Hydrographic Observations of Tampa Bay, Florida and Adjacent Gulf of Mexico, 1965 - 1966". The authors are C.H Saloman and J.L. Taylor. (6/6 microfiche). Data Report 63 is entitled "Hydrographic Observations of Tampa Bay, Florida and Adjacent Gulf of Mexico 1968". The authors are C.H Saloman and J.L. Taylor. (4/4 microfiche). Data Report 63 is entitled "Hydrographic Observations of Tampa Bay, Florida and Adjacent Waters, May 1971 through April 1973". The authors are L.A. Collins and J. H. Finucane. (3/3 microfiche). A publication from DOC/NOAA/NMFS Data Report 90 is entitled "Hydrographic Observations in Tampa Bay and Adjacent Waters 1972" by C.H. Saloman and L.A. Collins. This report includes hydrographic data, chlorophyll and primary productivity data. This report covers monthly observations during 1972. A publication from DOC/NOAA/NMFS Data Report 77 entitled "Hydrographic Observations in Tampa Bay, Florida 1970" by C.H. Saloman. This report includes hydrographic data, chlorophyll and primary productivity data, and measurements for rainfall, wind direction and velocity. This report covers monthly observations during 1970.
This EnviroAtlas dataset presents environmental benefits of the urban forest in 1,833 block groups in Tampa Bay, Florida. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
These data were collected by Dewberry using a CZMIL Nova system. The data were acquired from 20210126 - 20210227. The data include topobathy data in LAS 1.4 format classified as unclassified (1); ground (2); low noise (7); high noise (18); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (4...
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Community Redevelopment Areas in the City of Tampa.Data updated as needed.Data refreshed every 24 hours.
Explore where graduates of Paul Mitchell the School-Tampa are finding opportunities leading to permanent residency with this bar chart, which displays PERM cases by city. The data can be filtered by major, shedding light on the geographical distribution of job opportunities for specific fields of study.
Explore where graduates of South University-Tampa are finding opportunities leading to permanent residency with this bar chart, which displays PERM cases by city. The data can be filtered by major, shedding light on the geographical distribution of job opportunities for specific fields of study.
https://www.icpsr.umich.edu/web/ICPSR/studies/25801/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/25801/terms
This study contains campaign finance data for candidates in local elections held from 1989 to 2007 in the following cities: New York City (NY), Los Angeles (CA), Chicago (IL), San Francisco (CA), Seattle (WA), Miami (FL), Tampa (FL), Lexington (KY), Louisville (KY), Sacramento (CA), and Long Beach (CA). Data were also collected for the counties Hillsborough County/Tampa (FL) and Miami-Dade (FL). The study includes data on funds raised and spent, as well as candidate data and election returns, and both mayoral and city council races. Information was also collected on the size of the population of the candidates jurisdiction, the amount of political contributions and committee expenditures, whether the election was held in a publicly-funded city, and the outcome of the election. Demographic variables include candidate's sex, race, political party, education, and occupation.
Tree canopy cover data included as part of a 2006 high-resolution land cover classification from IKONOS satellite imagery. Imagery date was April, 2006. Data values correspond to Tree Cover (1), Other Vegetation (2), Water (3), Bare Sand/Soil (4), Impervious (5) and unidentified (0). Overall classification accuracy was 95.6% (kappa=0.94), but considerable confusion existed between bare sand/soil and impervious classes.
Methods can be found in: Andreu, Michael G., Melissa H. Friedman, Shawn M. Landry and Robert J. Northrop. 2008. City of Tampa Urban Ecological Analysis 2006-2007. Final Report to the City of Tampa, April 24, 2008. City of Tampa, Florida.
Explore where graduates of Empire Beauty School-Tampa are finding opportunities leading to permanent residency with this bar chart, which displays PERM cases by city. The data can be filtered by major, shedding light on the geographical distribution of job opportunities for specific fields of study.
The primary goal of this study was to develop an understanding of the role of violence in the lives of homeless women and men. The objectives were to determine how many women and men have experienced some form of violence in their lives either as children or adults, the factors associated with experiences of violence, the consequences of violence, and the types of interactions with the justice system. The survey sample was comprised of about 200 face-to-face interviews with homeless women in each of four Florida cities (Jacksonville, Miami, Orlando, and Tampa). In all, 737 women were interviewed. In addition, 91 face-to-face interviews with homeless men were also conducted only in Orlando. For Part 1 (Female Interviews), the data include information related to the respondent's living conditions in the past month, as well as experiences with homelessness, childhood violence, adult violence, forced sexual situations, and stalking. Additional variables include basic demographic information, a self-report of criminal history, information related to how the respondent spent her days and evenings, and the physical environment surrounding the respondent during the day and evening. For Part 2 (Male Interviews), the data include much of the same information as was collected in Part 1. Information from Part 1 not included in Part 2 primarily includes questions pertaining to experience with forced sexual situations, and questions related to pregnancy and children.
Explore where graduates of Altierus Career College-Tampa are finding opportunities leading to permanent residency with this bar chart, which displays PERM cases by city. The data can be filtered by major, shedding light on the geographical distribution of job opportunities for specific fields of study.
Explore where graduates of Concorde Career Institute-Tampa are finding opportunities leading to permanent residency with this bar chart, which displays PERM cases by city. The data can be filtered by major, shedding light on the geographical distribution of job opportunities for specific fields of study.
Open data is public data collected by the city through its routine business activities and published in a format that is easy to search, easy to download, and easy to combine with other data sets from other sources; it does not include private or confidential data about individuals.