The population density of Broken Arrow, OK was 1,746 in 2018.
Population Density
Population Density is computed by dividing the total population by Land Area Per Square Mile.
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Geographic and Population Datasets Involving Broken Arrow, OK
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Total Population
data.grandrapidsmi.gov | Last Updated 2024-05-10T22:32:09.000ZGR Vital Streets: Equity & Prioritization analysisAnalysis OVERVIEWA multi-variable analysis of demographic and geographic assets was conducted to aid the Vital Streets program in identifying target areas to prioritize for vital streets funding. This analysis in particular focuses on equity factors across the City of Grand Rapids along with geographic representation across different wards. The analysis is broken into two components:Demographic Need– This set of factors reflects equity and need considerations based on demographic characteristics and adjusted based on the overall population density of each census block.Connection Opportunity– Factors reflect desired destinations and areas of opportunity based on a spectrum of data inputs – including gaps in existing physical facilities and infrastructure, jobs, and transit connectivity.APPROACHEach of the analysis factors are aggregated into the 2010 census block level. The source for each factor and methods of aggregation are described below in the DATA LAYERS section.Each factor was generalized into a 1-5 score based on a quantile distribution (20% increments in values across the scores) unless otherwise noted below.Factors within each analysis component (Demographic Need and Connectivity Opportunity) were combined with equal weighting (calculation of mean score) to generate a component score. The Demographic Need score was filtered based on the census block's population density score such that less dense census blocks would receive a lower score relative to denser census blocks with the same Demographic need score. The following formulas were used for calculating these scores:Demographic Need: (([MedIncS] + [Ov65DenS] + [HHPovS] + [HHDisabS] + [NoWhiteS] + [Youth18S])/6)/(6- [PopDensS])Connection Opportunity: ([CommDenS]+ [JobDenS]+[ParkAccS]+[TransitS]+ [BikeConS]+ [BPCrashS]+ [TreeCanS]+ [SidewalkS])/8The two component scores were each normalized into a 1-5 score based on a quantile distribution.The resulting component scores were combined into an overall score for each Census Block by adding the two values together, resulting in a 2-10 score range for each Census block. Data DescriptionDemographic NeedThese factors relate to areas of the city where there may be a heightened need for projects to occur in order to support neighborhood stability, and address equity considerations.The data for the Demographic Need component was taken directly from Census 2010 and American Community Survey (ACS) data from 2015. Median Income [MedInc]2015 American Communities Survey, block-group level dataBlock-group level was transferred into the census block level data using a spatial join.1-5 scores classified based on five quantile breaks. Lower income prioritized. [MedIncS]Density of total population in Senior age brackets [Ov65Den]2010 Census, block level data, 65-years and olderThe density of seniors within each census block was calculated by dividing the total number of seniors by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Ov65DenS]Density of total population in under 18 age brackets[Youth18]2010 Census, block level data, quantiles scoringThe density of youth within each census block was calculated by dividing the total number of youths by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Youth18S]Density of households with a person with a disability[HHDisab] 2015 American Communities Survey, block-group level dataPercentage values were multiplied against the total household data to determine an estimated number of households with disabilities in each census block-group.Block-group level data was transferred into census block level data using a spatial join.The density of households with disabilities within each census block was calculated by dividing the total number of households with disabilities by the acreage of the census block.1-5 scores classified b
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% under 18 years old
data.grandrapidsmi.gov | Last Updated 2024-05-10T23:47:56.000ZGR Vital Streets: Equity & Prioritization analysisAnalysis OVERVIEWA multi-variable analysis of demographic and geographic assets was conducted to aid the Vital Streets program in identifying target areas to prioritize for vital streets funding. This analysis in particular focuses on equity factors across the City of Grand Rapids along with geographic representation across different wards. The analysis is broken into two components:Demographic Need– This set of factors reflects equity and need considerations based on demographic characteristics and adjusted based on the overall population density of each census block.Connection Opportunity– Factors reflect desired destinations and areas of opportunity based on a spectrum of data inputs – including gaps in existing physical facilities and infrastructure, jobs, and transit connectivity.APPROACHEach of the analysis factors are aggregated into the 2010 census block level. The source for each factor and methods of aggregation are described below in the DATA LAYERS section.Each factor was generalized into a 1-5 score based on a quantile distribution (20% increments in values across the scores) unless otherwise noted below.Factors within each analysis component (Demographic Need and Connectivity Opportunity) were combined with equal weighting (calculation of mean score) to generate a component score. The Demographic Need score was filtered based on the census block's population density score such that less dense census blocks would receive a lower score relative to denser census blocks with the same Demographic need score. The following formulas were used for calculating these scores:Demographic Need: (([MedIncS] + [Ov65DenS] + [HHPovS] + [HHDisabS] + [NoWhiteS] + [Youth18S])/6)/(6- [PopDensS])Connection Opportunity: ([CommDenS]+ [JobDenS]+[ParkAccS]+[TransitS]+ [BikeConS]+ [BPCrashS]+ [TreeCanS]+ [SidewalkS])/8The two component scores were each normalized into a 1-5 score based on a quantile distribution.The resulting component scores were combined into an overall score for each Census Block by adding the two values together, resulting in a 2-10 score range for each Census block. Data DescriptionDemographic NeedThese factors relate to areas of the city where there may be a heightened need for projects to occur in order to support neighborhood stability, and address equity considerations.The data for the Demographic Need component was taken directly from Census 2010 and American Community Survey (ACS) data from 2015. Median Income [MedInc]2015 American Communities Survey, block-group level dataBlock-group level was transferred into the census block level data using a spatial join.1-5 scores classified based on five quantile breaks. Lower income prioritized. [MedIncS]Density of total population in Senior age brackets [Ov65Den]2010 Census, block level data, 65-years and olderThe density of seniors within each census block was calculated by dividing the total number of seniors by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Ov65DenS]Density of total population in under 18 age brackets[Youth18]2010 Census, block level data, quantiles scoringThe density of youth within each census block was calculated by dividing the total number of youths by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Youth18S]Density of households with a person with a disability[HHDisab] 2015 American Communities Survey, block-group level dataPercentage values were multiplied against the total household data to determine an estimated number of households with disabilities in each census block-group.Block-group level data was transferred into census block level data using a spatial join.The density of households with disabilities within each census block was calculated by dividing the total number of households with disabilities by the acreage of the census block.1-5 scores classified b
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% over 65 years old
data.grandrapidsmi.gov | Last Updated 2024-05-10T22:35:33.000ZGR Vital Streets: Equity & Prioritization analysisAnalysis OVERVIEWA multi-variable analysis of demographic and geographic assets was conducted to aid the Vital Streets program in identifying target areas to prioritize for vital streets funding. This analysis in particular focuses on equity factors across the City of Grand Rapids along with geographic representation across different wards. The analysis is broken into two components:Demographic Need– This set of factors reflects equity and need considerations based on demographic characteristics and adjusted based on the overall population density of each census block.Connection Opportunity– Factors reflect desired destinations and areas of opportunity based on a spectrum of data inputs – including gaps in existing physical facilities and infrastructure, jobs, and transit connectivity.APPROACHEach of the analysis factors are aggregated into the 2010 census block level. The source for each factor and methods of aggregation are described below in the DATA LAYERS section.Each factor was generalized into a 1-5 score based on a quantile distribution (20% increments in values across the scores) unless otherwise noted below.Factors within each analysis component (Demographic Need and Connectivity Opportunity) were combined with equal weighting (calculation of mean score) to generate a component score. The Demographic Need score was filtered based on the census block's population density score such that less dense census blocks would receive a lower score relative to denser census blocks with the same Demographic need score. The following formulas were used for calculating these scores:Demographic Need: (([MedIncS] + [Ov65DenS] + [HHPovS] + [HHDisabS] + [NoWhiteS] + [Youth18S])/6)/(6- [PopDensS])Connection Opportunity: ([CommDenS]+ [JobDenS]+[ParkAccS]+[TransitS]+ [BikeConS]+ [BPCrashS]+ [TreeCanS]+ [SidewalkS])/8The two component scores were each normalized into a 1-5 score based on a quantile distribution.The resulting component scores were combined into an overall score for each Census Block by adding the two values together, resulting in a 2-10 score range for each Census block. Data DescriptionDemographic NeedThese factors relate to areas of the city where there may be a heightened need for projects to occur in order to support neighborhood stability, and address equity considerations.The data for the Demographic Need component was taken directly from Census 2010 and American Community Survey (ACS) data from 2015. Median Income [MedInc]2015 American Communities Survey, block-group level dataBlock-group level was transferred into the census block level data using a spatial join.1-5 scores classified based on five quantile breaks. Lower income prioritized. [MedIncS]Density of total population in Senior age brackets [Ov65Den]2010 Census, block level data, 65-years and olderThe density of seniors within each census block was calculated by dividing the total number of seniors by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Ov65DenS]Density of total population in under 18 age brackets[Youth18]2010 Census, block level data, quantiles scoringThe density of youth within each census block was calculated by dividing the total number of youths by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Youth18S]Density of households with a person with a disability[HHDisab] 2015 American Communities Survey, block-group level dataPercentage values were multiplied against the total household data to determine an estimated number of households with disabilities in each census block-group.Block-group level data was transferred into census block level data using a spatial join.The density of households with disabilities within each census block was calculated by dividing the total number of households with disabilities by the acreage of the census block.1-5 scores classified b
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NYC Building Energy and Water Data Disclosure for Local Law 84 (2023-Present)
data.cityofnewyork.us | Last Updated 2023-08-30T18:55:16.000ZLocal 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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% Non-white
data.grandrapidsmi.gov | Last Updated 2024-05-12T21:39:50.000ZGR Vital Streets: Equity & Prioritization analysisAnalysis OVERVIEWA multi-variable analysis of demographic and geographic assets was conducted to aid the Vital Streets program in identifying target areas to prioritize for vital streets funding. This analysis in particular focuses on equity factors across the City of Grand Rapids along with geographic representation across different wards. The analysis is broken into two components:Demographic Need– This set of factors reflects equity and need considerations based on demographic characteristics and adjusted based on the overall population density of each census block.Connection Opportunity– Factors reflect desired destinations and areas of opportunity based on a spectrum of data inputs – including gaps in existing physical facilities and infrastructure, jobs, and transit connectivity.APPROACHEach of the analysis factors are aggregated into the 2010 census block level. The source for each factor and methods of aggregation are described below in the DATA LAYERS section.Each factor was generalized into a 1-5 score based on a quantile distribution (20% increments in values across the scores) unless otherwise noted below.Factors within each analysis component (Demographic Need and Connectivity Opportunity) were combined with equal weighting (calculation of mean score) to generate a component score. The Demographic Need score was filtered based on the census block's population density score such that less dense census blocks would receive a lower score relative to denser census blocks with the same Demographic need score. The following formulas were used for calculating these scores:Demographic Need: (([MedIncS] + [Ov65DenS] + [HHPovS] + [HHDisabS] + [NoWhiteS] + [Youth18S])/6)/(6- [PopDensS])Connection Opportunity: ([CommDenS]+ [JobDenS]+[ParkAccS]+[TransitS]+ [BikeConS]+ [BPCrashS]+ [TreeCanS]+ [SidewalkS])/8The two component scores were each normalized into a 1-5 score based on a quantile distribution.The resulting component scores were combined into an overall score for each Census Block by adding the two values together, resulting in a 2-10 score range for each Census block. Data DescriptionDemographic NeedThese factors relate to areas of the city where there may be a heightened need for projects to occur in order to support neighborhood stability, and address equity considerations.The data for the Demographic Need component was taken directly from Census 2010 and American Community Survey (ACS) data from 2015. Median Income [MedInc]2015 American Communities Survey, block-group level dataBlock-group level was transferred into the census block level data using a spatial join.1-5 scores classified based on five quantile breaks. Lower income prioritized. [MedIncS]Density of total population in Senior age brackets [Ov65Den]2010 Census, block level data, 65-years and olderThe density of seniors within each census block was calculated by dividing the total number of seniors by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Ov65DenS]Density of total population in under 18 age brackets[Youth18]2010 Census, block level data, quantiles scoringThe density of youth within each census block was calculated by dividing the total number of youths by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Youth18S]Density of households with a person with a disability[HHDisab] 2015 American Communities Survey, block-group level dataPercentage values were multiplied against the total household data to determine an estimated number of households with disabilities in each census block-group.Block-group level data was transferred into census block level data using a spatial join.The density of households with disabilities within each census block was calculated by dividing the total number of households with disabilities by the acreage of the census block.1-5 scores classified b
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% of Total City Population
data.grandrapidsmi.gov | Last Updated 2024-05-10T22:32:36.000ZGR Vital Streets: Equity & Prioritization analysisAnalysis OVERVIEWA multi-variable analysis of demographic and geographic assets was conducted to aid the Vital Streets program in identifying target areas to prioritize for vital streets funding. This analysis in particular focuses on equity factors across the City of Grand Rapids along with geographic representation across different wards. The analysis is broken into two components:Demographic Need– This set of factors reflects equity and need considerations based on demographic characteristics and adjusted based on the overall population density of each census block.Connection Opportunity– Factors reflect desired destinations and areas of opportunity based on a spectrum of data inputs – including gaps in existing physical facilities and infrastructure, jobs, and transit connectivity.APPROACHEach of the analysis factors are aggregated into the 2010 census block level. The source for each factor and methods of aggregation are described below in the DATA LAYERS section.Each factor was generalized into a 1-5 score based on a quantile distribution (20% increments in values across the scores) unless otherwise noted below.Factors within each analysis component (Demographic Need and Connectivity Opportunity) were combined with equal weighting (calculation of mean score) to generate a component score. The Demographic Need score was filtered based on the census block's population density score such that less dense census blocks would receive a lower score relative to denser census blocks with the same Demographic need score. The following formulas were used for calculating these scores:Demographic Need: (([MedIncS] + [Ov65DenS] + [HHPovS] + [HHDisabS] + [NoWhiteS] + [Youth18S])/6)/(6- [PopDensS])Connection Opportunity: ([CommDenS]+ [JobDenS]+[ParkAccS]+[TransitS]+ [BikeConS]+ [BPCrashS]+ [TreeCanS]+ [SidewalkS])/8The two component scores were each normalized into a 1-5 score based on a quantile distribution.The resulting component scores were combined into an overall score for each Census Block by adding the two values together, resulting in a 2-10 score range for each Census block. Data DescriptionDemographic NeedThese factors relate to areas of the city where there may be a heightened need for projects to occur in order to support neighborhood stability, and address equity considerations.The data for the Demographic Need component was taken directly from Census 2010 and American Community Survey (ACS) data from 2015. Median Income [MedInc]2015 American Communities Survey, block-group level dataBlock-group level was transferred into the census block level data using a spatial join.1-5 scores classified based on five quantile breaks. Lower income prioritized. [MedIncS]Density of total population in Senior age brackets [Ov65Den]2010 Census, block level data, 65-years and olderThe density of seniors within each census block was calculated by dividing the total number of seniors by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Ov65DenS]Density of total population in under 18 age brackets[Youth18]2010 Census, block level data, quantiles scoringThe density of youth within each census block was calculated by dividing the total number of youths by the acreage of the census block.1-5 scores classified based on five quantile breaks. Higher density prioritized [Youth18S]Density of households with a person with a disability[HHDisab] 2015 American Communities Survey, block-group level dataPercentage values were multiplied against the total household data to determine an estimated number of households with disabilities in each census block-group.Block-group level data was transferred into census block level data using a spatial join.The density of households with disabilities within each census block was calculated by dividing the total number of households with disabilities by the acreage of the census block.1-5 scores classified b