{"id":1745352,"date":"2022-10-27T07:56:58","date_gmt":"2022-10-27T14:56:58","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1745352"},"modified":"2022-10-30T03:25:40","modified_gmt":"2022-10-30T10:25:40","slug":"business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating","title":{"rendered":"Business Analyst treat: Find neighborhoods for trick-or-treating"},"author":10072,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22941],"tags":[38561,32151,26791,767622,767632],"industry":[],"product":[36591,36711],"class_list":["post-1745352","blog","type-blog","status-publish","format-standard","hentry","category-mapping","tag-demographic","tag-halloween","tag-infographic","tag-neighborhood","tag-variables","product-apps","product-bus-analyst"],"acf":{"short_description":"Trick or treat: Use your spooky infographic to find the best spots to go trick or treating.","flexible_content":[{"acf_fc_layout":"content","content":"

In the article Build your own Frankenstein infographic<\/a>, we used different parts of other templates to create something new. Now, we can take th<\/span>at infographic and use it to <\/span>figure out<\/span> how <\/span>promising <\/span>a neighborhood is for <\/span>trick-or-treating<\/span>.\u00a0<\/span><\/span><\/p>\n

The charts on the infographic already give us a lot of information about trick-or-treating potential. We know that trick-or-treating is more likely to happen in areas where there is a higher population of children, and the waffle chart lets us see those values. The home type chart shows us the types of housing that\u2019s most dominant in the area. Row housing and semi attached housing mean less walking up driveways and a shorter distance between doors\u2013especially important in Canada, where in many places it\u2019s already getting cold outside. Then, the PRIZM Lifestages gives us a glimpse of family structure. Older families likely won\u2019t have children of trick-or-treating age and are more likely to be home giving out candy, while school-age families might more likely be out trick-or-treating. <\/span>\u00a0<\/span><\/p>\n

The top panel with key demographic variables tells us some information about the area, but not in a way that\u2019s useful for trick-or-treating. Let\u2019s change some of the variables in the demographics panel to ones that can help us find the best spots.<\/span>\u00a0<\/span><\/p>\n

Who is home to give out candy?<\/span>\u00a0<\/span><\/h1>\n

Right now, we have the Total Population Median Age variable. This information might be good to understand the demographics of the neighborhood as a whole, but doesn\u2019t really mean anything to trick-or-treaters.\u00a0<\/span>\u00a0<\/span><\/p>\n

Instead, we can modify the variable to show the population above the age of 40\u2014the prime demographic for candy givers. <\/span>\u00a0<\/span><\/p>\n

To do that, we\u2019ll create a custom variable that sums the relevant age ranges from the 2021 Total Population by Age variable. Start by clicking <\/span>Create a custom variable…<\/span><\/b> in the data browser.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1746142,"id":1746142,"title":"create custom variable","filename":"create-custom-variable.png","filesize":23382,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating\/create-custom-variable","alt":"create a custom variable","author":"10072","description":"","caption":"","name":"create-custom-variable","status":"inherit","uploaded_to":1745352,"date":"2022-10-26 18:43:46","modified":"2022-10-26 18:43:57","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":683,"height":755,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable.png","medium-width":236,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable.png","medium_large-width":683,"medium_large-height":755,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable.png","large-width":683,"large-height":755,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable.png","1536x1536-width":683,"1536x1536-height":755,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable.png","2048x2048-width":683,"2048x2048-height":755,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-421x465.png","card_image-width":421,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable.png","wide_image-width":683,"wide_image-height":755}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

In the <\/span>Create Custom Variable<\/span><\/b> window, we\u2019ll select all the age ranges we want to include and add them as a sum.\u00a0<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1746162,"id":1746162,"title":"create custom variable for age","filename":"create-custom-variable-for-age.png","filesize":36081,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-for-age.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating\/create-custom-variable-for-age","alt":"custom variable window","author":"10072","description":"","caption":"","name":"create-custom-variable-for-age","status":"inherit","uploaded_to":1745352,"date":"2022-10-26 18:44:31","modified":"2022-10-26 18:44:49","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1824,"height":878,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-for-age-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-for-age.png","medium-width":464,"medium-height":223,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-for-age.png","medium_large-width":768,"medium_large-height":370,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-for-age.png","large-width":1824,"large-height":878,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-for-age-1536x739.png","1536x1536-width":1536,"1536x1536-height":739,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-for-age.png","2048x2048-width":1824,"2048x2048-height":878,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-for-age-826x398.png","card_image-width":826,"card_image-height":398,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/create-custom-variable-for-age.png","wide_image-width":1824,"wide_image-height":878}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Once we\u2019ve created the custom variable, we can add it to the infographic panel and remove the median age variable. We\u2019ll also want to add an icon to it so that it matches the other variables. We can use an image of a pumpkin to keep with the Halloween theme.\u00a0<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1746452,"id":1746452,"title":"custom pop var","filename":"custom-pop-var.png","filesize":3472,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/custom-pop-var.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating\/custom-pop-var","alt":"custom pumpkin incon","author":"10072","description":"","caption":"","name":"custom-pop-var","status":"inherit","uploaded_to":1745352,"date":"2022-10-26 18:58:16","modified":"2022-10-26 18:58:29","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":179,"height":201,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/custom-pop-var.png","thumbnail-width":178,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/custom-pop-var.png","medium-width":179,"medium-height":201,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/custom-pop-var.png","medium_large-width":179,"medium_large-height":201,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/custom-pop-var.png","large-width":179,"large-height":201,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/custom-pop-var.png","1536x1536-width":179,"1536x1536-height":201,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/custom-pop-var.png","2048x2048-width":179,"2048x2048-height":201,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/custom-pop-var.png","card_image-width":179,"card_image-height":201,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/custom-pop-var.png","wide_image-width":179,"wide_image-height":201}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Where are the full-size chocolate bars?<\/span>\u00a0<\/span><\/h1>\n

After trick-or-treating in your own neighborhood, it\u2019s time to head over to the neighborhood that gives out full-size chocolate bars and bags of candy.\u00a0<\/span>\u00a0<\/span><\/p>\n

Let\u2019s assume that the higher the average income of a neighborhood, the greater likelihood residents can spend more on candy. We already have the average income variable, but it doesn\u2019t indicate anything more. We can use the variable icon to better visualize the likelihood of full-sized candy by having it fill proportional to a value.\u00a0<\/span>\u00a0<\/span><\/p>\n

In <\/span>Shape properties<\/span><\/b>, we\u2019ll change the <\/span>Display as<\/span><\/b> setting to <\/span>Fill proportionally<\/span><\/b>. Then, we\u2019ll click <\/span>Advanced settings<\/span><\/b> so that we can set the range of values that the fill level will be based on. For our case, we\u2019ll say that the closer the average income is to CA$150,000, the higher chance that residents of that neighborhood are able to spend more on candy.\u00a0<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1746202,"id":1746202,"title":"fill propotional","filename":"fill-propotional.png","filesize":10688,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/fill-propotional.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating\/fill-propotional","alt":"Shape properties","author":"10072","description":"","caption":"","name":"fill-propotional","status":"inherit","uploaded_to":1745352,"date":"2022-10-26 18:45:50","modified":"2022-10-26 18:46:20","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":479,"height":864,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/fill-propotional-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/fill-propotional.png","medium-width":145,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/fill-propotional.png","medium_large-width":479,"medium_large-height":864,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/fill-propotional.png","large-width":479,"large-height":864,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/fill-propotional.png","1536x1536-width":479,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/fill-propotional.png","2048x2048-width":479,"2048x2048-height":864,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/fill-propotional-258x465.png","card_image-width":258,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/fill-propotional.png","wide_image-width":479,"wide_image-height":864}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

We\u2019ll also change the icon used here to be a piece of candy. Now, we still have the average income variable, but the icon\u2019s fill helps identify how that variable relates to the candy being given out.\u00a0<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1746252,"id":1746252,"title":"income var","filename":"income-var.png","filesize":5147,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/income-var.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating\/income-var","alt":"Income variable","author":"10072","description":"","caption":"","name":"income-var","status":"inherit","uploaded_to":1745352,"date":"2022-10-26 18:47:03","modified":"2022-10-26 18:47:30","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":194,"height":214,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/income-var-194x200.png","thumbnail-width":194,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/income-var.png","medium-width":194,"medium-height":214,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/income-var.png","medium_large-width":194,"medium_large-height":214,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/income-var.png","large-width":194,"large-height":214,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/income-var.png","1536x1536-width":194,"1536x1536-height":214,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/income-var.png","2048x2048-width":194,"2048x2048-height":214,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/income-var.png","card_image-width":194,"card_image-height":214,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/income-var.png","wide_image-width":194,"wide_image-height":214}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Run the infographic for your neighborhood<\/span>\u00a0<\/span><\/h1>\n

Now that we have all the variables that we need to evaluate the trick-or-treating potential of an area, we can run the infographic on different neighborhoods.<\/span>\u00a0<\/span><\/p>\n

Let\u2019s see where in Ottawa, Ontario the best trick-or-treating is.\u00a0<\/span>\u00a0<\/span><\/p>\n

This map already has sites created for each of the neighborhoods in the city. The sites were made by <\/span>adding<\/span><\/a> the <\/span>City of Ottawa\u2019s Neighbourhood Boundaries<\/span><\/a> layer to Business Analyst and creating a site for each neighborhood.\u00a0<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1746262,"id":1746262,"title":"sites of ottawa","filename":"sites-of-ottawa.png","filesize":200138,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/sites-of-ottawa.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating\/sites-of-ottawa","alt":"Ottawa sites","author":"10072","description":"","caption":"","name":"sites-of-ottawa","status":"inherit","uploaded_to":1745352,"date":"2022-10-26 18:47:59","modified":"2022-10-26 18:48:11","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1918,"height":804,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/sites-of-ottawa-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/sites-of-ottawa.png","medium-width":464,"medium-height":195,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/sites-of-ottawa.png","medium_large-width":768,"medium_large-height":322,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/sites-of-ottawa.png","large-width":1918,"large-height":804,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/sites-of-ottawa-1536x644.png","1536x1536-width":1536,"1536x1536-height":644,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/sites-of-ottawa.png","2048x2048-width":1918,"2048x2048-height":804,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/sites-of-ottawa-826x346.png","card_image-width":826,"card_image-height":346,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/sites-of-ottawa.png","wide_image-width":1918,"wide_image-height":804}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Now, we can click on a neighborhood and run the infographic to see if it\u2019s a good spot to go trick-or-treating.\u00a0<\/span>\u00a0<\/span><\/p>\n

Let\u2019s check out the neighborhood of Centretown. <\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1748462,"id":1748462,"title":"Centertown","filename":"Centertown-1.png","filesize":453524,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Centertown-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating\/centertown-2","alt":"infographic for centretown, ottawa","author":"10072","description":"","caption":"","name":"centertown-2","status":"inherit","uploaded_to":1745352,"date":"2022-10-27 11:59:13","modified":"2022-10-27 11:59:46","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":3367,"height":2381,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Centertown-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Centertown-1.png","medium-width":369,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Centertown-1.png","medium_large-width":768,"medium_large-height":543,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Centertown-1.png","large-width":1527,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Centertown-1-1536x1086.png","1536x1536-width":1536,"1536x1536-height":1086,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Centertown-1-2048x1448.png","2048x2048-width":2048,"2048x2048-height":1448,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Centertown-1-658x465.png","card_image-width":658,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Centertown-1-1527x1080.png","wide_image-width":1527,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

While the population is high and there are a lot of households, there is only a small population under 18. There are also mostly apartments, which are not always easy to go trick-or-treating in as they usually have secure entries. Lastly, most of the population are very young singles and couples, who might be more likely to go out to celebrate Halloween. Overall, probably not going to get a good haul over there.\u00a0<\/span>\u00a0<\/span><\/p>\n

We can also do a side-by-side comparison of two neighborhoods to see if maybe walking over a few blocks might be all it takes to get a better candy haul. After we run an infographic on one of the neighborhoods, we can add more sites to compare. <\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1746352,"id":1746352,"title":"compare sites","filename":"compare-sites.png","filesize":15179,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/compare-sites.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating\/compare-sites","alt":"add sites to compare","author":"10072","description":"","caption":"","name":"compare-sites","status":"inherit","uploaded_to":1745352,"date":"2022-10-26 18:50:12","modified":"2022-10-26 18:50:22","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":708,"height":308,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/compare-sites-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/compare-sites.png","medium-width":464,"medium-height":202,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/compare-sites.png","medium_large-width":708,"medium_large-height":308,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/compare-sites.png","large-width":708,"large-height":308,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/compare-sites.png","1536x1536-width":708,"1536x1536-height":308,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/compare-sites.png","2048x2048-width":708,"2048x2048-height":308,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/compare-sites.png","card_image-width":708,"card_image-height":308,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/compare-sites.png","wide_image-width":708,"wide_image-height":308}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Let\u2019s compare the neighborhoods of Crystal Bay and Bayshore. <\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1749022,"id":1749022,"title":"Two area compare","filename":"Two-area-compare-1.png","filesize":1170081,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Two-area-compare-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/business-analyst-treat-find-the-best-neighborhood-for-trick-or-treating\/two-area-compare-2","alt":"comparing two infographics","author":"10072","description":"","caption":"","name":"two-area-compare-2","status":"inherit","uploaded_to":1745352,"date":"2022-10-27 15:02:07","modified":"2022-10-27 15:02:45","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":4317,"height":6855,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Two-area-compare-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Two-area-compare-1.png","medium-width":164,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Two-area-compare-1.png","medium_large-width":768,"medium_large-height":1220,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Two-area-compare-1.png","large-width":680,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Two-area-compare-1-967x1536.png","1536x1536-width":967,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Two-area-compare-1-1290x2048.png","2048x2048-width":1290,"2048x2048-height":2048,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Two-area-compare-1-293x465.png","card_image-width":293,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Two-area-compare-1-680x1080.png","wide_image-width":680,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Comparing the two, we can see that both have their own merits. Bayshore has a larger population under the age of 18 and a lot more row houses, which makes trick-or-treating faster. However, there\u2019s a significantly greater number of younger singles and couples, and middle-age families who might not be home to give out candy. On the other side of the street, there are more older families and empty nesters that are more likely to be home. Additionally, the Crystal Bay households have a much higher average income, meaning they have a better opportunity to spend more on candy. <\/span>\u00a0<\/span><\/p>\n

My suggestion? Do a quick sweep of the Bayshore area and then head over to Crystal Bay afterwards for those full-sized chocolate bars!\u00a0<\/span>\u00a0<\/span><\/p>\n

Put on your costume and try this out with your own neighborhood or surrounding ones this Halloween to find the best spots to trick-or-treat.\u00a0<\/span>\u00a0<\/span><\/p>\n

Happy Halloween!\u00a0<\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

Card image: Photo by Nick Fewings on Unsplash
\nBanner image Photo Ehud Neuhaus on Unsplash<\/p>\n"}],"authors":[{"ID":10072,"user_firstname":"Noora","user_lastname":"Golabi","nickname":"ngolabi","user_nicename":"ngolabi","display_name":"Noora Golabi","user_email":"ngolabi@esri.com","user_url":"","user_registered":"2019-10-21 16:04:20","user_description":"Noora is a product writer with a background in Geography and GIS. Working from Ottawa, Canada, she focuses on writing documentation and creating resources for users. 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