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ACS - Unemployment Details
data.grandrapidsmi.gov | Last Updated 2019-10-04T14:47:28.000ZUnemployment rates and margin of error for the City of Grand Rapids broken down by total population, age, disability status, educational attainment, poverty status, race, and sex.
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Fiscal - Bond Rating
data.grandrapidsmi.gov | Last Updated 2021-09-13T12:37:09.000ZMoody's and S&P bond ratings for the City's Limited Tax General Obligation (LTGO), Sanitary Sewer System, and Water Supply System.
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ACS 2019 Population Demographics
data.grandrapidsmi.gov | Last Updated 2021-04-29T18:16:49.000ZThis dataset includes population data from the ACS 5-year Estimate survey from 2019. The data is broken down by demographic and is categorized to the census tract level.
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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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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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% 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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% 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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% 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
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MB - Percent of Roads in State of Good Repair (70% or Better with 5+ PASER Rating)
data.grandrapidsmi.gov | Last Updated 2021-09-09T18:26:26.000ZPercent of roads in a state of good repair (70% or better with 5+ PASER rating)
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ArcGIS.GDBO.Refuse_Routes
data.grandrapidsmi.gov | Last Updated 2024-05-09T02:05:29.000ZPublic Works refuse routes, also used in Cityworks