This dataset provides Customer Service Satisfaction results from the Annual Community Survey. The survey questions assess satisfaction with overall customer service for inpiduals who had contacted the city in the past year. For years where there are multiple questions related to overall customer service and treatment, the average of those responses are providing in the summary dataset and the values for each question are provided in the detailed dataset.For years 2010-2014, respondents were first asked "Have you contacted the city in the past year?". If they answered that they had contacted the city, then they were asked additional questions about their experience. The "number of respondents" field represents the number of people who answered yes to the contact question.Responses of "don't know" are not included in this dataset, but can be found in the dataset for the entire Community Survey. A survey was not completed for 2015 (99999 indicates no recorded data).Due to changes in the survey questions, this dataset was last updated in 2017 and may not be updated again. The performance measure dashboard is available at 2.02 Customer Service Satisfaction.Additional InformationSource: Community Attitude SurveyContact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: Excel and PDFPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary

This dataset comes from the Annual Community Survey question "Please rate your level of satisfaction with each of the following: a) Your ability to participate in City decision-making processes." Respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (without "don't know" as an option). This question relates to the Feeling Invited to Participate in City Decisions performance measure:The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Feeling Invited to Participate in City Decisions performance measure. The performance measure dashboard is available at 2.15 Feeling Invited to Participate.Additional InformationSource:Community Attitude Survey ( Vendor: ETC Institute)Contact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: Excel and PDFPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary

Population size estimates of people who identify with particular race(s) in Alaskan Communities/Places and aggregation at Boroughs - CDAs and State level for recent 5-year American Community Survey (ACS) intervals. The 5-year interval data sets are published approximately 1/2 a period later than the End Year listed - for instance the interval ending in 2019 is published in mid-2021.Source: US Census Bureau, American Community SurveyThis data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: US Census Bureau - Why We Ask About RaceUSE CONSTRAINTS: The Alaska Department of Commerce, Community, and Economic Development (DCCED) provides the data in this application as a service to the public. DCCED makes no warranty, representation, or guarantee as to the content, accuracy, timeliness, or completeness of any of the data provided on this site. DCCED shall not be liable to the user for damages of any kind arising out of the use of data or information provided. DCCED is not the authoritative source for American Community Survey data, and any data or information provided by DCCED is provided "as is". Data or information provided by DCCED shall be used and relied upon only at the user's sole risk. For information about the American Community Survey, click here.

This layer is part of Hamilton City Council's Freshwater Dataset.If you wish to download and consume this entire dataset - click on the link for the file format(s) of your choosing: CAD (DWG)

Please note that the links above may change at any time. For best practice, please refer to this page for the correct links.

If any of the links are above are not functioning, please let us know at gis@hcc.govt.nz.

This Water (Freshwater) dataset contains the following layers:

Water Valve (A tap on a main that controls the flow of water along that main) Water Service Valve (A tap on a service line that controls the flow of water along that line) Water Service Line/Connection (A pipe that delivers water from the main to a building for consumption) Water Meter (A device that measures and displays the amount of water passing through the associated main or service line) Water Main Offset (A point along a main indicating the distance of the main from another known point such as the property boundary or kerb) Water Main Crossover Junction (The junction of one or more pipes where the pipes do not intersect - aka crossover junction) Water Main Abandoned (A water main that is still in the ground, but is now disused and no longer forms part of the active network) Water Hydrant (A tap supplying access to high-pressure water to fight fires, flush pipes and fill water trucks) Water Chamber MH (An opening/structure in a water chamber for the purpose of allowing operators or equipment access to the inside of the chamber) Water Chamber (A chamber on a water main (except bulk mains) containing operational or monitoring devices such as valves or flow meters) Water BM Chamber (A chamber on a water bulk main containing operational devices such as valves or flow meters) Water BM AV Chamber (A chamber on a water bulk main containing an air valve) Water Backflow Device (A device which prevents the accidental backflow of contaminated water into the water system) Water Asbuilts (Plans showing the location and alignment of basic water infrastructure as it was constructed on site, as provided by the contractor or their representatives. Data has not yet been fully incorporated into the Council GIS or asset management system)

Hamilton City Council 3 Waters data is derived from the Council’s GIS (ArcGIS) dataset. The GIS dataset is synchronised with asset data contained in the Council’s Asset Management (IPS) database. A subset of the GIS dataset has been made available for download.

This GIS dataset is currently updated weekly which in turn dynamically updates to the WLASS open data site. Any questions pertaining to this data should be directed to the City Waters Asset Information Team at CityWatersAssetInfo@hcc.govt.nz

Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.

Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.

While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:

‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'

This dataset comes from the Annual Community Survey question about satisfaction with the Value of Special Events. The Community Survey question relating to the Value of Special Events performance measure: "Please rate your level of satisfaction with each of the following: a) Value & benefits received by City from special events." Respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (without "don't know" as an option).The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Value of Special Events performance measure. The performance measure dashboard is available at 3.19 Value of Special Events.Additional InformationSource: Community Attitude Survey ( Vendor: ETC Institute)Contact: Wydale HolmesContact E-Mail: wydale_holmes@tempe.govData Source Type: Excel and PDFPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: Manual Data Dictionary

This layer is part of Hamilton City Council's Freshwater Dataset.If you wish to download and consume this entire dataset - click on the link for the file format(s) of your choosing: FGDB/File Geodatabase Shapefile Excel CAD (DWG) Please note that the links above may change at any time. For best practice, please refer to this page for the correct links. If any of the links are above are not functioning, please let us know at gis@hcc.govt.nz. This Water (Freshwater) dataset contains the following layers: Water Valve (A tap on a main that controls the flow of water along that main) Water Service Valve (A tap on a service line that controls the flow of water along that line) Water Service Line/Connection (A pipe that delivers water from the main to a building for consumption) Water Meter (A device that measures and displays the amount of water passing through the associated main or service line) Water Main Offset (A point along a main indicating the distance of the main from another known point such as the property boundary or kerb) Water Main Crossover Junction (The junction of one or more pipes where the pipes do not intersect - aka crossover junction) Water Main Abandoned (A water main that is still in the ground, but is now disused and no longer forms part of the active network) Water Hydrant (A tap supplying access to high-pressure water to fight fires, flush pipes and fill water trucks) Water Chamber MH (An opening/structure in a water chamber for the purpose of allowing operators or equipment access to the inside of the chamber) Water Chamber (A chamber on a water main (except bulk mains) containing operational or monitoring devices such as valves or flow meters) Water BM Chamber (A chamber on a water bulk main containing operational devices such as valves or flow meters) Water BM AV Chamber (A chamber on a water bulk main containing an air valve) Water Backflow Device (A device which prevents the accidental backflow of contaminated water into the water system) Water Asbuilts (Plans showing the location and alignment of basic water infrastructure as it was constructed on site, as provided by the contractor or their representatives. Data has not yet been fully incorporated into the Council GIS or asset management system) Hamilton City Council 3 Waters data is derived from the Council’s GIS (ArcGIS) dataset. The GIS dataset is synchronised with asset data contained in the Council’s Asset Management (IPS) database. A subset of the GIS dataset has been made available for download. This GIS dataset is currently updated weekly which in turn dynamically updates to the WLASS open data site. Any questions pertaining to this data should be directed to the City Waters Asset Information Team at CityWatersAssetInfo@hcc.govt.nz Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works. Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data. While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data: ‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'

Tree Canopy (TC) Assessment metrics for New York City. This dataset consists of TC metrics summarized to several different sets of geographic base layers. The metrics presented in this table are based on 2010 high resolution land cover dataset. The TC Assessment is a top-down approach to analyzing the forest. Its purpose is to integrate high resolution land cover data with other GIS datasets to produce a set of detailed metrics on the forest that allow decision makers to know how much tree canopy currently exists (termed Existing TC) and amount of land where is it biophysically feasible to establish tree canopy on (termed Possible TC). Existing TC is determined by extracting all features classified as tree canopy from a high resolution land cover dataset. Possible TC is determined by identifying land where canopy could possibly exist. Possible TC in a GIS context is determined by overlaying high resolution land cover with cadastral and planimetric datasets to include building polygons and road polygons. Possible TC is queried out from this overlay and consists of all land that was not existing canopy, not water, not a building, and not a road. Possible TC is further divided into two subcategories: Possible-impervious and Possible-vegetation. Possible-impervious consists of all impervious land that, through modification, could support tree canopy. Examples of such features are parking lots, driveways (through overhanging coverage) and playgrounds. Possible-vegetation consists of all land that is low-lying vegetation, primarily grass or shrubs, which could conceivably be converted to support tree canopy. Examples of such features include residential lawns and playing fields. TC metrics do not serve to address the issues of where it is socially desirable or financially feasible to plant trees. Rather, the TC metrics serve as the basis for beginning to form answers to these questions. TC metrics are presented in the attribute table as both absolute area (in map units) and relative area (percentage of land area) per parcel. For example, an Existing TC Area (TC_E_A) value of 13,677 and an Existing TC Percentage (TC_E_P) of 21.8 indicate that for the parcel in question the area of Existing TC is 13,677 (in map units) and 21.8% of that feature is tree canopy. This assessment was completed by the University of Vermont's Spatial Analysis Laboratory with funding from National Urban and Community Forestry Advisory Council (NUCFAC) and the National Science Fundation (NSF) and in cooperation with the USDA Forest Service's Northern Research Station. The TC Assessment protocols were developed by the USDA Forest Service's Northern Research Station and the University of Vermont's Spatial Analysis Laboratory in collaboration with the Maryland Department of Natural Resources. TC assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establishing TC goals.

Summarized responses to the Customer Treatment Satisfaction question in the Annual Community Survey. Results are shown starting with the 2017 survey, with the exception of 2015, when no survey was completed. Survey results shown in this table are without "don't knows" as an option.The Annual Community Survey question that relates to this performance measure is: “Satisfaction with Availability of City Information” Please rate your satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (without "don't know" as an option).The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Customer Treatment Satisfaction performance measure.The performance measure dashboard is available at 2.21 Availability of City Information.Additional InformationSource: Community Attitude Survey ( Vendor: ETC Institute)Contact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: Excel and PDFPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary

This dataset comes from the Annual Community Survey questions about satisfaction with Community Service Programs. The Community Survey question relating to the Community Services Programs performance measure: "Please rate your level of satisfaction with each of the following: a) Quality of Before & After School (Kid Zone) programs; b) Quality of City library programs & services; c) Quality of City recreation programs & services; d) Quality of Tempe Center for the Arts programs." Respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (responses of "don't know" are excluded).The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Community Services Programs performance measure.The performance measure dashboard is available at 3.17 Community Services Programs.Note: Kid Zone is being removed from measure as it no longer resides in Community Services.Additional InformationSource: Community Attitude Survey (Vendor: ETC Institute)Contact: Wydale HolmesContact E-Mail: wydale_holmes@tempe.govData Source Type: Excel and PDF ReportPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary

Data table for the Civil Division Annual Survey (summary) performance measure.This dataset includes the average of the response rates of "Agree" or "Strongly Agree" for each question on the Civil Division Annual Survey regarding satisfaction with customer service in the areas of: timeliness, courtesy, communication, caring, ease of use and resolution of the issue.This page provides data for the Civil Division Annual Survey performance measure.This data set includes the responses, categorized by question, for the Civil Division Annual Survey. Responses include, Strongly Agree, Agree, Neither agree nor disagree, disagree and strongly disagree.The performance measure dashboard is available at 5.08 Civil Division Annual Survey.Additional InformationSource: Department annual surveyContact: Jenny ArmstrongContact E-Mail: Jenny_Armstrong@tempe.govData Source Type: ExcelPreparation Method: Surveys are tallied and the responses for each category averaged to determine the aggregate effectiveness rate.Publish Frequency: AnnuallyPublish Method: ManualData Dictionary

Annual Community Survey data summary for Right of Way (ROW) Landscape Maintenance survey results. The Community Survey question relating to this performance measure focuses on satisfaction with the quality of landscape maintenance along streets and sidewalks. Respondents are asked to rate their satisfaction level with the quality of landscape using a scale of 1 to 5, where 1 means "Very Dissatisfied" and 5 means "Very Satisfied".This page provides details about the ROW Landscape Maintenance performance measure. Community Survey questions may be adjusted over time, so the specific questions asked each year are included in the data.The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.The performance measure dashboard is available at 3.23 Right of Way Landscape Maintenance.Additional InformationSource: Community Attitude SurveyContact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: ExcelPreparation Method: Data received from vendorPublish Frequency: AnnualPublish Method: ManualData Dictionary

This dataset comes from the Annual Community Survey questions about satisfaction with Quality of City Services. The Community Survey question that relates to this dataset is: “Quality of services provided by City of Tempe.” Respondents are asked to rate their satisfaction level using a scale of 1 to 5, where 1 means "Very Dissatisfied" and 5 means "Very Satisfied".The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Quality of City Services performance measure.The performance measure dashboard is available at 3.36 Quality of City Services.Additional InformationSource: Community Attitude Survey (Vendor: ETC Institute) Contact: Wydale HolmesContact E-Mail: wydale_holmes@tempe.govData Source Type: Excel and PDF ReportPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary

This layer is part of Hamilton City Council's Wastewater Dataset.If you wish to download and consume this entire dataset - click on the link for the file format(s) of your choosing: CAD (DWG)

Please note that the links above may change at any time. For best practice, please refer to this page for the correct links.

If any of the links are above are not functioning, please let us know at gis@hcc.govt.nz.

This Wastewater dataset contains the following layers:

Wastewater Abandoned Main (A wastewater main that is still in the ground, but is now disused and no longer forms part of the active network) Wastewater Abandoned Manhole (A wastewater manhole that is still in the ground but is now disused and no longer forms part of the active network) Wastewater Asbuilts (Plans showing the location and alignment of basic wastewater infrastructure as it was actually constructed on site, as provided by the contractor or their representatives Data has not yet been fully incorporated into the Council GIS or asset management system) Wastewater Main (A pipe that receives wastewater from domestic and industrial sources and directs it toward the wastewater treatment plant) Wastewater Manhole (An underground structure built over an opening in a pipe for the purpose of allowing operators or equipment access to the inside of the pipe) Wastewater Node (A junction point in a pipe It can be a structure) Wastewater Pump Station (A facility that raises wastewater from areas too low to drain by gravity, into existing pipes) Wastewater Service Line (A gravity or pressure flow pipeline connecting a building’s wastewater system to a wastewater main) Wastewater Storage Unit (A device used to contain or store effluent) Wastewater Valve (A wastewater valve is used to shut off or regulate the flow of wastewater)

Hamilton City Council 3 Waters data is derived from the Council’s GIS (ArcGIS) dataset. The GIS dataset is synchronised with asset data contained in the Council’s Asset Management (IPS) database. A subset of the GIS dataset has been made available for download.

This GIS dataset is currently updated weekly which in turn dynamically updates to the WLASS open data site. Any questions pertaining to this data should be directed to the City Waters Asset Information Team at CityWatersAssetInfo@hcc.govt.nz

Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.

Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.

While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:

‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'

This dataset comes from the biennial City of Tempe Employee Survey question about feeling safe in the physical work environment (building). The Employee Survey question relating to this performance measure: “Please rate your level of agreement: My physical work environment (building) is safe, clean & maintained in good operating order.” Survey respondents are asked to rate their agreement level on a scale of 5 to 1, where 5 means “Strongly Agree” and 1 means “Strongly Disagree” (without “don’t know” responses included).The survey was voluntary and employees were allowed to complete the survey during work hours or at home. The survey allowed employees to respond anonymously and has a 95% confidence level.This page provides data about the Feeling Safe in City Facilities performance measure. The performance measure dashboard is available at 1.11 Feeling Safe in City FacilitiesAdditional InformationSource: Employee SurveyContact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: CSVPreparation Method: Data received from vendor and entered in CSVPublish Frequency: BiennialPublish Method: ManualData Dictionary (update pending)

This layer shows which parts of the United States and Puerto Rico fall within ten minutes' walk of one or more grocery stores. It is estimated that 20% of U.S. population live within a 10 minute walk of a grocery store, and 92% of the population live within a 10 minute drive of a grocery store. The layer is suitable for looking at access at a neighborhood scale.When you add this layer to your web map, along with the drivable access layer and the SafeGraph grocery store layer, it becomes easier to spot grocery stores that sit within a highly populated area, and grocery stores that sit in a shopping center far away from populated areas. Add the Census block points layer to show a popup with the count of stores within 10 minutes' walk and drive. This view of a city begins to hint at the question: how many people have each type of access to grocery stores? And, what if they are unable to walk a mile regularly, or don't own a car?How to Use This Layer in a Web MapUse this layer in a web map to introduce the concepts of access to grocery stores in your city or town. This is the kind of map where people will want to look up their home or work address to validate what the map is saying. See this example web map which you can use in your projects, storymaps, apps and dashboards.The layer was built with that use in mind. Many maps of access use straight-line, as-the-crow-flies distance, which ignores real-world barriers to walkability like rivers, lakes, interstates and other characteristics of the built environment. Block analysis using a network data set and Origin-Destination analysis factors these barriers in, resulting in a more realistic depiction of access.Lastly, this layer can serve as backdrop to other community resources, like food banks, farmers markets (example), and transit (example). Add a transit layer to immediately gauge its impact on the population's grocery access. You can also use this map to see how it relates to communities of concern. Add a layer of any block group or tract demographics, such as Percent Senior Population (examples), or Percent of Households with Access to 0 Vehicles (examples).The layer is a useful visual resource for helping community leaders, business and government leaders see their town from the perspective of its residents, and begin asking questions about how their community could be improved.Data sourcesPopulation data is from the 2010 U.S. Census blocks. Each census block has a count of stores within a 10 minute walk, and a count of stores within a ten minute drive. Census blocks known to be unpopulated are given a score of 0. The layer is available as a hosted feature layer.Grocery store locations are from SafeGraph, reflecting what was in the data as of October 2020. Access to the layer was obtained from the SafeGraph offering in ArcGIS Marketplace. For this project, ArcGIS StreetMap Premium was used for the street network in the origin-destination analysis work, because it already has the necessary attributes on each street segment to identify which streets are considered walkable, and supports a wide variety of driving parameters.The walkable access layer and drivable access layers are rasters, whose colors were chosen to allow the drivable access layer to serve as backdrop to the walkable access layer. Alternative versions of these layers are available. These pairs use different colors but are otherwise identical in content.Data PreparationArcGIS Network Analyst was used to set up a network street layer for analysis. ArcGIS StreetMap Premium was installed to a local hard drive and selected in the Origin-Destination workflow as the network data source. This allows the origins (Census block centroids) and destinations (SafeGraph grocery stores) to be connected to that network, to allow origin-destination analysis.The Census blocks layer contains the centroid of each Census block. The data allows a simple popup to be created. This layer's block figures can be summarized further, to tract, county and state levels.The SafeGraph grocery store locations were created by querying the SafeGraph source layer based on primary NAICS code. After connecting to the layer in ArcGIS Pro, a definition query was set to only show records with NAICS code 445110 as an initial screening. The layer was exported to a local disk drive for further definition query refinement, to eliminate any records that were obviously not grocery stores. The final layer used in the analysis had approximately 53,600 records. In this map, this layer is included as a vector tile layer.MethodologyEvery census block in the U.S. was assigned two access scores, whose numbers are simply how many grocery stores are within a 10 minute walk and a 10 minute drive of that census block. Every census block has a score of 0 (no stores), 1, 2 or more stores. The count of accessible stores was determined using Origin-Destination Analysis in ArcGIS Network Analyst, in ArcGIS Pro. A set of Tools in this ArcGIS Pro package allow a similar analysis to be conducted for any city or other area. The Tools step through the data prep and analysis steps. Download the Pro package, open it and substitute your own layers for Origins and Destinations. Parcel centroids are a suggested option for Origins, for example. Origin-Destination analysis was configured, using ArcGIS StreetMap Premium as the network data source. Census block centroids with population greater than zero were used as the Origins, and grocery store locations were used as the Destinations. A cutoff of 10 minutes was used with the Walk Time option. Only one restriction was applied to the street network: Walkable, which means Interstates and other non-walkable street segments were treated appropriately. You see the results in the map: wherever freeway overpasses and underpasses are present near a grocery store, the walkable area extends across/through that pass, but not along the freeway.A cutoff of 10 minutes was used with the Drive Time option. The default restrictions were applied to the street network, which means a typical vehicle's access to all types of roads was factored in.The results for each analysis were captured in the Lines layer, which shows which origins are within the cutoff of each destination over the street network, given the assumptions about that network (walking, or driving a vehicle).The Lines layer was then summarized by census block ID to capture the Maximum value of the Destination_Rank field. A census block within 10 minutes of 3 stores would have 3 records in the Lines layer, but only one value in the summarized table, with a MAX_Destination_Rank field value of 3. This is the number of stores accessible to that census block in the 10 minutes measured, for walking and driving. These data were joined to the block centroids layer and given unique names. At this point, all blocks with zero population or null values in the MAX_Destination_Rank fields were given a store count of 0, to help the next step.Walkable and Drivable areas are calculated into a raster layer, using Nearest Neighbor geoprocessing tool on the count of stores within a 10 minute walk, and a count of stores within a ten minute drive, respectively. This tool uses a 200 meter grid and interpolates the values between each census block. A census tracts layer containing all water polygons "erased" from the census tract boundaries was used as an environment setting, to help constrain interpolation into/across bodies of water. The same layer use used to "shoreline" the Nearest Neighbor results, to eliminate any interpolation into the ocean or Great Lakes. This helped but was not perfect.Notes and LimitationsThe map provides a baseline for discussing access to grocery stores in a city. It does not presume local population has the desire or means to walk or drive to obtain groceries. It does not take elevation gain or loss into account. It does not factor time of day nor weather, seasons, or other variables that affect a person's commute choices. Walking and driving are just two ways people get to a grocery store. Some people ride a bike, others take public transit, have groceries delivered, or rely on a friend with a vehicle. Thank you to Melinda Morang on the Network Analyst team for guidance and suggestions at key moments along the way; to Emily Meriam for reviewing the previous version of this map and creating new color palettes and marker symbols specific to this project. Additional ReadingThe methods by which access to food is measured and reported have improved in the past decade or so, as has the uses of such measurements. Some relevant papers and articles are provided below as a starting point.Measuring Food Insecurity Using the Food Abundance Index: Implications for Economic, Health and Social Well-BeingHow to Identify Food Deserts: Measuring Physical and Economic Access to Supermarkets in King County, WashingtonAccess to Affordable and Nutritious Food: Measuring and Understanding Food Deserts and Their ConsequencesDifferent Measures of Food Access Inform Different SolutionsThe time cost of access to food – Distance to the grocery store as measured in minutes

Biennial Business Survey data summary for Quality of Business Services survey results. The Business Survey question that relates to this dataset is: “Quality of services provided by City of Tempe” Respondents are asked to rate their satisfaction level using a scale of 1 to 5, where 1 means "Very Dissatisfied" and 5 means "Very Satisfied".This page provides data for the Quality of Business Services performance measure.The performance measure dashboard is available at 5.01 Quality of Business Services.Additional InformationSource: Business Survey (Vendor: ETC Institute) Contact: Wydale HolmesContact E-Mail: wydale_holmes@tempe.govData Source Type: .pdf, ExcelPreparation Method: The City contracts with a vendor to conduct the survey, analyze the data and prepare for publication.Publish Frequency: Every other yearPublish Method: Manual, .pdfData Dictionary

This dataset comes from the Annual Community Survey question related to residents’ feeling of safety and their perceptions about their likelihood of becoming a victim of violent or property crimes. The fear of crime refers to the fear of being a victim of crime as opposed to the actual probability of being a victim of crime. The Annual Community Survey question that relates to this dataset is: “Please indicate how often you worry about each of the following: a) Getting mugged; b) Having your home burglarized when you are not there; c) Being attacked or threatened with a weapon; d) Having your car stolen or broken into; e) Being a victim of identity theft?” Respondents are asked to rate how often they worry about being a victim on a scale of 5 to 1, where 5 means “Frequently” and 1 means “Never” (without "don't know" as an option).This page provides details about the Worry About Being a Victim performance measure. Click on the Showcases tab for any available stories or dashboards related to this data.The performance measure dashboard is available at 1.10 Worry About Being a VictimAdditional InformationSource: Community Attitude SurveyContact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: CSVPreparation Method: Data received from vendor and entered in CSVPublish Frequency: AnnualPublish Method: ManualData Dictionary

This dataset comes from Annual Community Survey questions related to whether residents have been a victim of a crime. Respondents are asked the following questions: a) "Have you been robbed, physically assaulted, or sexually assaulted in past 6 months?" or, b) "Has anyone in your household age 12 or older had a vehicle stolen, property or cash stolen, or has your household been burglarized in past 6 months?” Please note that the survey question has been restructured over time to better help determine priorities for the community.The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Victim of Crime performance measure. The performance measure dashboard is available at 1.09 Victim of Crime.Additional Information Source: Community Attitude SurveyContact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: CSVPreparation Method: Data received from vendor and entered in CSVPublish Frequency:  AnnualPublish Method:  ManualData Dictionary

This dataset comes from the Annual Community Survey question related to satisfaction with the the city website. Respondents are asked to provide their level of satisfaction related to the “Usefulness of the City's website” on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (without "don't know" as an option).The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the City Website Quality Satisfaction performance measure. The performance measure dashboard is available at 2.04 City Website Satisfaction.Additional InformationSource: Community Attitude Survey ( Vendor: ETC Institute)Contact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: Excel and PDFPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary

This dataset comes from the Annual Community Survey questions about satisfaction with Dementia Friendly Community. The Community Survey question relating to the Dementia Friendly Community Designation performance measure: "Please rate your level of satisfaction with: Services for those living with Dementia, their care partners, and their families Respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (responses of "don't know" are excluded).The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Dementia Friendly Community performance measure.The performance measure dashboard is available at 3.20 Dementia-friendly Community Designation.Additional InformationSource: Community Attitude Survey (Vendor: ETC Institute)Contact: Wydale HolmesContact E-Mail: wydale_holmes@tempe.govData Source Type: Excel and PDF ReportPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary