from website http://resources.arcgis.com/content/esri-streetmap-premium/2011/about Esri StreetMap Premium is an enhanced, ready-to-use offline street dataset that works with ArcGIS Desktop or ArcGIS Server to provide advanced geocoding, routing, and high-quality cartographic display for North America and 45 European countries. Esri StreetMap Premium 2011 is available for North America and will be available for Europe later this summer.

Available on DVD from the Map and Data Library. DVD #446, 447, 448.

This ArcGIS StreetMap Premium Asia Pacific 2021 Release 1 map (based on HERE 2021 Q1 vintage) is designed for use in ArcGIS Pro and contains data for Australia South Australia supporting map display, geocoding and routing.

      Note: Only the latest version of the map is available for
        download. See the

        Pro map coverage

        and click on the map to access details (including file size, updated
        date, and data source).

This ArcGIS StreetMap Premium Middle East and Africa 2022 Release 1 map (based on HERE 2022 Q3 vintage) is designed for use in ArcGIS Pro and contains data for the Middle East and Africa supporting map display, geocoding and routing.  The Middle East and Africa includes Afghanistan, Bahrain, Gaza Strip, Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Oman, Palestine, Qatar, Saudi Arabia, Syria, United Arab Emirates, West Bank, Yemen, Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cabo Verde, Central African Republic, Chad, Comoros, Democratic Republic of the Congo, Djibouti, Egypt, Equatorial Guinea, Eritrea, eSwatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Ivory Coast, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Republic of Cameroon, Republic of the Congo, Reunion, Rwanda, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, St. Helena, Ascension, and Tristan da Cunha, Sudan, Tanzania, Togo, Tunisia, Uganda, Western Sahara, Zambia, and Zimbabwe.

Note: Only the latest version of the map is available for download. See the 
Pro map coverage 
and click on the map to access details (including file size, updated date, and data source).

StreetMap North America is a dataset in Smart Data Compression (SDC) format that provides streets display, routing, and geocoding for the United States and Canada. It contains 2005 TeleAtlas streets that were enhanced by ESRI and TeleAtlas, and prepared for routing within the StreetMap Find Route dialog. StreetMap North America data is provided in the ESRI Data & Maps Media Kit on the ESRI Data & Maps and StreetMap North America DVD.More recent streets data for the United States, Canada, and Europe are available with the StreetMap Premium products. For more information, visit www.esri.com and select Data under the Products tab. http://www.library.utoronto.ca/datalib/datart/maplib/data/ESRI/Streetmap_na/help.htm

This ArcGIS StreetMap Premium Middle East and Africa 2022 Release 1 map (based on HERE 2022 Q3 vintage) is designed for use in ArcGIS Pro and contains data for the Africa South Region supporting map display, geocoding and routing.  The Africa South Region includes Botswana, eSwatini, Lesotho, Namibia and South Africa.

Note: Only the latest version of the map is available for download. See the 
Pro map coverage 
and click on the map to access details (including file size, updated date, and data source).

This map is designed with a high contrast color scheme for driving in low light conditions. This vector tile package of Washington State was developed for off-line use in L&I's applications. The map displays points and features important to L&I's users. The supporting data used for the development of this map was collected from the open source GIS catalogs of several Washington state agencies. The roads dataset was developed using ESRI Street Map Premium 2019 (Release-3) for Desktop. This version of the basemap was created and shared using ArcPro 2.4.2Last updated: 12/13/2019 (huey235)

This basemap of Washington State was developed for use in L&I's applications and services. The map displays points and features important to L&I's users. The supporting data used for the development of this map was collected from the open source GIS catalogs of several Washington state agencies. The roads dataset was developed using ESRI Street Map Premium 2019 (Release-3) for Desktop. This version of the basemap was created and shared using ArcPro 2.4.2Last updated: 12/13/2020 (huey235)

This map is designed for use in ArcGIS Navigator and contains data for the U.S. Northeast Region supporting map display, geocoding and routing. The U.S. Northeast Region includes Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont.
The data is from ArcGIS StreetMap Premium North America 2025 Release 1 (based on TomTom 2024.12 vintage).

Note: Only the latest version of the map is available for download. See the 
Navigator map coverage 
and click on the map to access details (including file size, updated date, and data source).

This basemap of Washington State was developed for use in L&I's applications and services. The map displays points and features important to L&I's users. The supporting data used for the development of this map was collected from the open source GIS catalogs of several Washington state agencies. The roads dataset was developed using ESRI Street Map Premium 2021 (Release-4) for Desktop. This version of the basemap was created and shared using ArcPro 2.7.2ACTIVE PUBLIC SERVICE - DO NOT DELETE

This map is designed with a high contrast color scheme for driving in low light conditions. This vector tile package of Washington State was developed for off-line use in L&I's applications. The map displays points and features important to L&I's users. The supporting data used for the development of this map was collected from the open source GIS catalogs of several Washington state agencies. The roads dataset was developed using ESRI Street Map Premium 2021 (Release-4) for Desktop. Created in ArcPro 2.7.2ACTIVE PUBLIC SERVICE - DO NOT DELETE

This map is designed for use in ArcGIS Navigator and contains data for the Africa South Region supporting map display, geocoding and routing. The Africa South Region includes Botswana, eSwatini, Lesotho, Namibia and South Africa.
The data is from ArcGIS StreetMap Premium Middle East and Africa 2024 Release 1 (based on TomTom 2024.09 vintage).

Note: Only the latest version of the map is available for download. See the 
Navigator map coverage 
and click on the map to access details (including file size, updated date, and data source).

This basemap of Washington State was developed for use in L&I's applications and services. The map displays points and features important to L&I's users. The supporting data used for the development of this map was collected from the open source GIS catalogs of several Washington state agencies. The roads dataset was developed using ESRI Street Map Premium 2019 (Release-3) for Desktop. This version of the basemap was created and shared using ArcPro 2.4.2Last updated: 12/13/2019 (huey235)

This map is designed for use in ArcGIS Navigator and contains data for the Africa East Region supporting map display, geocoding and routing. The Africa East Region includes Burundi, Comoros, Djibouti, Eritrea, Ethiopia, Kenya, Madagascar, Malawi, Mauritius, Mayotte, Mozambique, Reunion, Rwanda, Seychelles, Somalia, South Sudan, Tanzania, Uganda, Zambia, and Zimbabwe.
The data is from ArcGIS StreetMap Premium Middle East and Africa 2024 Release 1 (based on TomTom 2024.09 vintage).

Note: Only the latest version of the map is available for download. See the 
Navigator map coverage 
and click on the map to access details (including file size, updated date, and data source).

This is a collection of maps, layers, apps and dashboards that show population access to essential retail locations, such as grocery stores. 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. 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. Methodology Every 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

This map is designed for use in ArcGIS Navigator and contains data for Africa supporting map display, geocoding and routing. Africa includes Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cabo Verde, Central African Republic, Chad, Comoros, Democratic Republic of the Congo, Djibouti, Egypt, Equatorial Guinea, Eritrea, eSwatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Ivory Coast, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Republic of Cameroon, Republic of the Congo, Reunion, Rwanda, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, St. Helena, Ascension, and Tristan da Cunha; Sudan, Tanzania, Togo, Tunisia, Uganda, Western Sahara, Zambia, and Zimbabwe.
The data is from ArcGIS StreetMap Premium Middle East and Africa 2024 Release 1 (based on TomTom 2024.09 vintage).

Note: Only the latest version of the map is available for download. See the 
Navigator map coverage 
and click on the map to access details (including file size, updated date, and data source).

Supermarkets are one of the most popular and convenient ways in which Americans gain access to healthy food, such as fresh meat and fish, or fresh fruits and vegetables. There are various ways in which people gain access to supermarkets. People in the suburbs drive to supermarkets and load up the car with many bags of food. People in cities depend much more on walking to the local store, or taking a bus or train.This map came about after asking a simple question: how many Americans live within a reasonable walk or drive to a supermarket?In this case, "reasonable" was defined as a 10 minute drive, or a 1 mile walk. The ArcGIS Network Analyst extension performed the calculations on streets data from StreetMap Premium, and the ArcGIS Spatial Analyst extension created a heat map of the walkable access and drivable access to supermarkets.The green dots represent populations in poverty who live within one mile of a supermarket. The red dots represent populations in poverty who live beyond a one mile walk to a supermarket, but may live within a 10 minute drive...which presumes they have access to a car or public transit. The grey dots represent the total population in a given area.This is an excellent map to use as backdrop to show how people are improving access to healthy food in their community. Open this map in ArcGIS Pro or ArcGIS Online to use it as a backdrop to your local analysis work. Or open it in ArcGIS Explorer to add your favorite farmers' market, CSA, or transit line -- then share that map via Facebook, Twitter or email. See this web map for a map with a popup layer.This map shows data for the entire U.S. The supermarkets included in the analysis have annual sales of $1 million or more.Data source: see this map package.

In 2015, the Department of Health introduced the Modified Monash Model (MMM) classification system as it better targets health workforce programs by categorising metropolitan, regional, rural and …Show full descriptionIn 2015, the Department of Health introduced the Modified Monash Model (MMM) classification system as it better targets health workforce programs by categorising metropolitan, regional, rural and remote areas according to both geographical remoteness, as defined by the Australian Bureau of Statistics, and town size. The MMM 2019 was updated on 1 July 2019. The MMM2023 was updated on 10 March 2025 to use the latest available Australian Bureau of Statistics (2021) Census data and geography information. The 2023 MMM uses the following data sets: • Australian Statistical Geography Standard 2021 Statistical Area 1; and Urban Centres and Localities as the geographic bases; • Australian Statistical Geography Standard – Remoteness Area 2021 as the ABS remoteness classification (based on Accessibility and Remoteness Index of Australia (ARIA+); • Estimated Resident Population 2023; and • Esri ArcGIS StreetMap Premium Asia Pacific 2021

In 2015, the Department of Health introduced the Modified Monash Model (MMM) classification system as it better targets health workforce programs by categorising metropolitan, regional, rural and remote areas according to both geographical remoteness, as defined by the Australian Bureau of Statistics, and town size. The MMM 2019 was updated on 1 July 2019.The MMM2023 was updated on 10 March 2025 to use the latest available Australian Bureau of Statistics (2021) Census data and geography information.The 2023 MMM uses the following data sets:Australian Statistical Geography Standard 2021 Statistical Area 1; and Urban Centres and Localities as the geographic bases;Australian Statistical Geography Standard – Remoteness Area 2021 as the ABS remoteness classification (based on Accessibility and Remoteness Index of Australia (ARIA+);Estimated Resident Population 2023; andEsri ArcGIS StreetMap Premium Asia Pacific 2021

Measure and Map Access to Grocery StoresFrom the perspective of the people living in each neighborhoodHow do people in your city get to the grocery store? The answer to that question depends on the person and where they live. This web map helps answer the question in this app.Some live in cities and stop by a grocery store within a short walk or bike ride of home or work. Others live in areas where car ownership is more prevalent, and so they drive to a store. Some do not own a vehicle, and rely on a friend or public transit. Others rely on grocery delivery for their needs. And, many live in rural areas far from town, so a trip to a grocery store is an infrequent event involving a long drive.This map from Esri shows which areas are within a ten minute walk or ten minute drive of a grocery store in the United States and Puerto Rico. Darker color indicates access to more stores. The chart shows how many people can walk to a grocery store if they wanted to or needed to.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.Look up your city to see how the numbers change as you move around the map. Or, draw a neighborhood boundary on the map to get numbers for that area.Every census block is scored with a count of walkable and drivable stores nearby, making this a map suitable for a dashboard for any city, or any of the 50 states, DC and Puerto Rico. Two colorful layers visualize this definition of access, one for walkable access (suitable for looking at a city neighborhood by neighborhood) and one for drivable access (suitable for looking across a city, county, region or state).On the walkable layer, shades of green define areas within a ten minute walk of one or more grocery stores. The colors become more intense and trend to a blue-green color for the busiest neighborhoods, such as downtown San Francisco. As you zoom in, a layer of Census block points visualizes the local population with or without walkable access.As you zoom out to see the entire city, the map adds a light blue - to dark blue layer, showing which parts of the region fall within ten minutes' drive of one or more grocery stores. As a result, the map is useful at all scales, from national to regional, state and local levels. 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. 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 MapUse this 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.The map 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.There is data behind the map, which can be summarized to show how many people have walkable access to local grocery stores. The map includes a feature layer of population in Census block points, which are visible when you zoom in far enough. This feature layer can be plugged into an app like this one that summarizes the population with/without walkable or drivable access.Lastly, this map 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 map is a useful visual and analytic 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

Which areas in a city have easy access to public transportation? This access map reveals areas that are 1/4 mile, 1/2 mile, and 1 km away from the nearest bus, metro or train stop. These distances equate to around a 5, 10, and 12 minute walk, typically.Transit locations are from GTFS Data Exchange. Access is based on a walkability analysis in ArcGIS, using Network Analyst and HERE streets data in StreetMap Premium.