The population rate of change of St. Johns County, FL was 3.94% in 2018.
Population
Population Change
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Demographics and Population Datasets Involving St. Johns County, FL
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Social Vulnerability Index for Virginia by Census Tract, 2018
data.virginia.gov | Last Updated 2023-05-22T14:49:26.000Z"ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking." For more see https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.html
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Social Vulnerability Index 2018 - United States, county
data.cdc.gov | Last Updated 2022-02-14T14:19:58.000ZATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking. In addition to tract-level rankings, SVI 2018 also has corresponding rankings at the county level. Notes below that describe “tract” methods also refer to county methods.
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Virginia Social Vulnerability Index (SVI) (2018) by Census Tract (Datathon)
data.virginia.gov | Last Updated 2023-05-22T14:58:02.000ZSVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking.
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Social Vulnerability Index 2018 - United States, tract
data.cdc.gov | Last Updated 2022-02-14T14:22:44.000ZATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking. In addition to tract-level rankings, SVI 2018 also has corresponding rankings at the county level. Notes below that describe “tract” methods also refer to county methods.
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Economic Demographics
data.orcities.org | Last Updated 2017-01-09T17:17:43.000ZData from the American Communities Survey 2014. This data includes information on household income, city industries composition, and class of workers.
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2010 Census/ACS Basic Block Group Data
data.kcmo.org | Last Updated 2021-11-12T14:15:42.000Zbasic characteristics of people and housing for individual 2010 census block groups
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2010 Census/ACS Detailed Block Group Data
data.kcmo.org | Last Updated 2021-11-12T14:22:17.000Zdetailed characteristics of people and housing for individual 2010 census block groups
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Housing Demographics
data.orcities.org | Last Updated 2017-01-19T17:03:58.000ZThis dataset focuses on housing statistics from the American Community Survey 2014.
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2022 Municipal Census - Enumeration Areas
data.strathcona.ca | Last Updated 2022-11-02T16:33:57.000ZTable representing household census data aggregated to Enumeration Area (EA) gathered in the 2022 Municipal Census. The municipal census was conducted in the spring of 2022. The census gathers information such as the number of people who live in the home, their ages and gender; the type of dwelling; and length of residency in Strathcona County. An up-to-date census count ensures the County receives the maximum grant dollars based on population. These dollars go toward municipal programs such as roads, transit, and community and family services. Census information is also used to plan for future services and programs. The GIS Branch may use the household data for analysis; however, areas containing less than 50 people will not be reported. This practice is in line with Statistics Canada reporting. The data is not available directly to Strathcona County staff but is available upon request and permission from LLS. The data is not shared publicly at the household level.
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Point In Time Homeless Survey Data
data.sonomacounty.ca.gov | Last Updated 2019-07-12T18:26:35.000ZThe County of Sonoma conducts an annual homeless count for the entire county. The survey data is derived from a sample of about 600 homeless persons countywide per year. The resulting information is statistically reliable only for the county as a whole, not for individual locations. The exception is the City of Santa Rosa, where the sample taken within the city is large enough to be predictive of the overall homeless population in that city.