{"id":1439042,"date":"2021-12-16T10:36:13","date_gmt":"2021-12-16T18:36:13","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1439042"},"modified":"2021-12-17T13:26:35","modified_gmt":"2021-12-17T21:26:35","slug":"sensory_overload_noisiest_brightest","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest","title":{"rendered":"Sensory Overload: Where are America’s noisiest and brightest cities?"},"author":8492,"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":[410642,763412,763402,27411,763462],"industry":[],"product":[36581,36551,36561],"class_list":["post-1439042","blog","type-blog","status-publish","format-standard","hentry","category-mapping","tag-environment","tag-lights","tag-noise","tag-planning","tag-sensory-overload","product-arcgis-living-atlas","product-arcgis-online","product-arcgis-pro"],"acf":{"short_description":"Are nighttime lights and noise a sensory overload where you live? Find out with the new USA Transportation Noise layer in the Living Atlas.","flexible_content":[{"acf_fc_layout":"content","content":"

Is the last\u00a0airport\u00a0hotel you stayed in louder than the hotel you stayed at the time before? How does your current\u00a0neighborhood\u00a0compare to other places you lived? Is it noisier?<\/span>\u00a0<\/span><\/p>\n

Now\u00a0there’s\u00a0a map for that. The\u00a0<\/span>US\u00a0Department of Transportation\u00a0(DOT)\u00a0has compiled a noise\u00a0model\u00a0layer<\/span><\/a>\u00a0from civilian airports and road transportation\u00a0for 2018, and\u00a0it’s\u00a0already being used\u00a0in the\u00a0<\/span>Living Atlas of the World<\/span><\/a>\u00a0to compare places in the lower 48 states.\u00a0<\/span>\u00a0<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1442052,"id":1442052,"title":"NoiseDOTCONUS-01","filename":"NoiseDOTCONUS-01-scaled.jpg","filesize":323393,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/noisedotconus-01","alt":"Noise patterns across the continental USA.","author":"8492","description":"","caption":"","name":"noisedotconus-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 18:07:12","modified":"2021-12-17 18:13:41","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1738,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-scaled.jpg","medium-width":384,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-scaled.jpg","medium_large-width":768,"medium_large-height":521,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-scaled.jpg","large-width":1591,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-1536x1043.jpg","1536x1536-width":1536,"1536x1536-height":1043,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-2048x1391.jpg","2048x2048-width":2048,"2048x2048-height":1391,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-685x465.jpg","card_image-width":685,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-1591x1080.jpg","wide_image-width":1591,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseDOTCONUS-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

This\u00a0<\/span>layer<\/span><\/a>\u00a0combines two noise models at\u00a0DOT, the aviation\u00a0model\u00a0and the roads model.\u00a0It\u2019s\u00a0important to note that\u00a0this\u00a0layer\u00a0does not include\u00a0military bases,\u00a0passenger\u00a0rail,\u00a0or freight rail\u00a0for now.\u00a0But\u00a0in the\u00a0future,\u00a0noise layers\u00a0will\u00a0include some\u00a0or\u00a0all\u00a0of\u00a0these things.\u00a0The current layer\u00a0is\u00a0still\u00a0a significant step toward\u00a0more rational planning decisions\u00a0using the Living Atlas,\u00a0as\u00a0many decisions\u00a0are well\u00a0supported from models of\u00a0ordinary road transportation and civilian\u00a0aircraft\u00a0noise.<\/span>\u00a0<\/span><\/p>\n

Of course,\u00a0nobody\u00a0went to every part of\u00a0the Conterminous\u00a0USA\u00a0and measured the sound level\u00a0with a sensor.\u00a0This layer is\u00a0a model\u00a0built\u00a0upon\u00a0understanding\u00a0about how noise is produced\u00a0by transportation and is carried\u00a0across the landscape.\u00a0For this\u00a0layer\u00a0the sound model\u00a0measures\u00a0the\u00a024-hr equivalent sound level\u00a0in\u00a0dBA\u00a0LAeq.\u00a0What does this value mean?\u00a0<\/span>\u00a0<\/span><\/p>\n

dB<\/strong> \u2013 Decibels measure the frequency and amplitude of sound energy waves.<\/span>
\ndBA<\/strong> \u2013 Adjusted decibel measurements that also consider different sound frequencies and the varying sensitivity of the human ear.<\/span>
\nLAeq<\/strong>\u00a0\u2013 Equivalent continuous sound that\u00a0contains\u00a0the same sound energy as a sound that varies over time.<\/span>\u00a0<\/span><\/p>\n

The following\u00a0graphic\u00a0puts these\u00a0very\u00a0abstract\u00a0dBA\u00a0LAeq\u00a0values\u00a0on the map\u00a0in more human terms:<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1442092,"id":1442092,"title":"NoiseGraphicLAW-01","filename":"NoiseGraphicLAW-01-scaled.jpg","filesize":352144,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/noisegraphiclaw-01","alt":"Graphic showing decibels and a correlating sound.","author":"8492","description":"","caption":"","name":"noisegraphiclaw-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 18:19:31","modified":"2021-12-17 18:19:42","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":2560,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-scaled.jpg","medium-width":261,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-scaled.jpg","medium_large-width":768,"medium_large-height":768,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-scaled.jpg","large-width":1080,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-1536x1536.jpg","1536x1536-width":1536,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-2048x2048.jpg","2048x2048-width":2048,"2048x2048-height":2048,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-465x465.jpg","card_image-width":465,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-1080x1080.jpg","wide_image-width":1080,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseGraphicLAW-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

Naturally\u00a0we find art within the\u00a0noise<\/span>\u00a0<\/span><\/h2>\n

Here are a few cities that we found noise arrangements that were just so beautiful, interesting, and fantastic that we just had to map them out.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1442502,"id":1442502,"title":"NoiseFinal202112small","filename":"NoiseFinal202112small-scaled.jpg","filesize":957457,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/noisefinal202112small","alt":"16 cities and their noise patterns","author":"8492","description":"","caption":"","name":"noisefinal202112small","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 21:24:33","modified":"2021-12-17 21:25:02","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":2560,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-scaled.jpg","medium-width":261,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-scaled.jpg","medium_large-width":768,"medium_large-height":768,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-scaled.jpg","large-width":1080,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-1536x1536.jpg","1536x1536-width":1536,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-2048x2048.jpg","2048x2048-width":2048,"2048x2048-height":2048,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-465x465.jpg","card_image-width":465,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-1080x1080.jpg","wide_image-width":1080,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseFinal202112small-scaled.jpg"},{"acf_fc_layout":"content","content":"

Patterns of noise and light<\/span>\u00a0<\/span><\/h2>\n

While we were\u00a0in\u00a0the process of producing\u00a0this layer and exploring\u00a0places\u00a0all over the country,\u00a0we became curious about the patterns we were seeing. It reminded us of\u00a0another recent addition to Living Atlas.\u00a0The\u00a0<\/span>VIIRS\u00a0Nighttime Lights Monthly Cloud-Free Composite<\/span><\/a>\u00a0which\u00a0provides\u00a0global daily measurements of nocturnal visible and near-infrared light,\u00a0and is suitable for study and analysis.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1440272,"id":1440272,"title":"DFWGraphic-01","filename":"DFWGraphic-01-scaled.jpg","filesize":447261,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/dfwgraphic-01","alt":"Dallas-Fort Worth graphic showing the two layers of transportation noise and nighttime lights.","author":"8492","description":"","caption":"Audio and visual senses are more greatly impacted in the bright places on these maps. ","name":"dfwgraphic-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-16 19:57:09","modified":"2021-12-16 19:57:59","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1383,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-scaled.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-scaled.jpg","medium_large-width":768,"medium_large-height":415,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-scaled.jpg","large-width":1920,"large-height":1037,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-1536x830.jpg","1536x1536-width":1536,"1536x1536-height":830,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-2048x1107.jpg","2048x2048-width":2048,"2048x2048-height":1107,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-826x446.jpg","card_image-width":826,"card_image-height":446,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-1920x1037.jpg","wide_image-width":1920,"wide_image-height":1037}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/DFWGraphic-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

Sensory Overload<\/span>\u00a0<\/span><\/h2>\n

It is well\u00a0established\u00a0that\u00a0<\/span>light<\/span><\/a>\u00a0and\u00a0<\/span>noise<\/span><\/a>\u00a0pollution have profound effects on both humans and wildlife. Since\u00a0<\/span>82% of the\u00a0USA\u00a0lives in urban areas<\/span><\/a>,<\/span>\u00a0we wanted to\u00a0figure out what\u00a0cities\u00a0are the noisiest and\u00a0what are the\u00a0quietest? What cities are the brightest at night, and what are the darkest?<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1440292,"id":1440292,"title":"CityAirplaneDusk","filename":"CityAirplaneDusk.jpg","filesize":1157185,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CityAirplaneDusk.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/cityairplanedusk","alt":"Image of an airplane flying over a city sky at dusk.","author":"8492","description":"","caption":"","name":"cityairplanedusk","status":"inherit","uploaded_to":1439042,"date":"2021-12-16 20:01:53","modified":"2021-12-16 20:01:59","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2510,"height":1670,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CityAirplaneDusk-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CityAirplaneDusk.jpg","medium-width":392,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CityAirplaneDusk.jpg","medium_large-width":768,"medium_large-height":511,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CityAirplaneDusk.jpg","large-width":1623,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CityAirplaneDusk-1536x1022.jpg","1536x1536-width":1536,"1536x1536-height":1022,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CityAirplaneDusk-2048x1363.jpg","2048x2048-width":2048,"2048x2048-height":1363,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CityAirplaneDusk-699x465.jpg","card_image-width":699,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CityAirplaneDusk-1623x1080.jpg","wide_image-width":1623,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

First, we selected all the\u00a0<\/span>cities<\/span><\/a>\u00a0and\u00a0<\/span>census designated places<\/span><\/a>\u00a0from the\u00a0Living Atlas\u00a0in the lower 48 states\u00a0that had a\u00a0<\/span>population\u00a0greater than 50,000<\/span><\/b>.\u00a0<\/span>\u00a0<\/span><\/p>\n

Census boundaries sometimes extend into an ocean or bay, and we found out we\u00a0didn’t\u00a0want to include ocean areas when we averaged light or noise.\u00a0To name one example, did you know when New York Harbor is included, New York City\u00a0becomes\u00a0a\u00a0quieter\u00a0place, on average?<\/span>\u00a0<\/span><\/p>\n

Using\u00a0<\/span>spatial analyst<\/span><\/a>\u00a0and the\u00a0<\/span>detailed US states layer<\/span><\/a>\u00a0in the Living Atlas, we analyzed only land areas\u00a0within\u00a0each city. Then we used\u00a0the\u00a0<\/span>zonal statistics as table<\/span><\/a>\u00a0geoprocessing tool\u00a0to link the mean noise and light pollution back to the layer with each city’s geographic record identifier, or GEOID.<\/span>\u00a0 The results are within this webmap<\/a> and the <\/span>Nosiest, Quietest, Brightest, Darkest, Nosiest & Brightest, and Quietest & Darkest cities <\/strong>are described in more detail below.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441962,"id":1441962,"title":"RankNoiseLightsDetail","filename":"RankNoiseLightsDetail-scaled.jpg","filesize":238252,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/ranknoiselightsdetail","alt":"Screenshot of the webmap showing the results of the analysis with detail of Denver, Colorado.","author":"8492","description":"","caption":"","name":"ranknoiselightsdetail","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 17:13:44","modified":"2021-12-17 17:14:11","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1587,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-scaled.jpg","medium-width":421,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-scaled.jpg","medium_large-width":768,"medium_large-height":476,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-scaled.jpg","large-width":1742,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-1536x952.jpg","1536x1536-width":1536,"1536x1536-height":952,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-2048x1269.jpg","2048x2048-width":2048,"2048x2048-height":1269,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-750x465.jpg","card_image-width":750,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-1743x1080.jpg","wide_image-width":1743,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/RankNoiseLightsDetail-scaled.jpg"},{"acf_fc_layout":"content","content":"

After this<\/span> analysis, the <\/span>noisiest city that we found was<\/span>:<\/span><\/span><\/h2>\n

#1 Noisiest – Elizabeth<\/span>,<\/span>\u00a0New Jersey
\n<\/span><\/span><\/strong>Elizabeth, New Jersey is the noisiest city we found, but it\u2019s also the seventh brightest. This gave it a combined rank of 8. The brightest part of Elizabeth is the Port Newark\u2013Elizabeth Marine Terminal. This is in fact the main container port serving the New York Metropolitan Area, and the busiest port in the Eastern United States.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1440822,"id":1440822,"title":"Elizabeth_NJ-01","filename":"Elizabeth_NJ-01-scaled.jpg","filesize":698376,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/elizabeth_nj-01","alt":"Road analysis for Elizabeth, New Jersey.","author":"8492","description":"","caption":"","name":"elizabeth_nj-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 00:10:18","modified":"2021-12-17 00:29:02","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#2 Noisiest – Inglewood, California<\/strong>
\nJust before\u00a0<\/span>large<\/span>\u00a0aircraft\u00a0<\/span>land<\/span>\u00a0at Los Angeles International Airport, the aircraft\u00a0<\/span>fly<\/span>\u00a0<\/span>at low altitude<\/span>\u00a0over Inglewood, California. There are\u00a0<\/span>actually two<\/span>\u00a0parallel runways<\/span>. T<\/span>he approach for both runways\u00a0<\/span>guides<\/span>\u00a0large aircraft right over the center and the south parts of the city just before the aircraft\u00a0<\/span>touch<\/span>\u00a0down. The 405 freeway\u00a0<\/span>also\u00a0<\/span>skirts the western edge of the city.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1440882,"id":1440882,"title":"Inglewood_CA-01","filename":"Inglewood_CA-01-scaled.jpg","filesize":979031,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/inglewood_ca-01","alt":"Detail of Inglewood, California noise patterns.","author":"8492","description":"","caption":"","name":"inglewood_ca-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 00:31:38","modified":"2021-12-17 00:31:56","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Inglewood_CA-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#3 Noisiest – Grapevine, Texas<\/strong>
\nDallas Fort Worth International Airport is one of the busiest in the United States. Almost half of Grapevine, Texas is\u00a0<\/span>in fact\u00a0<\/span>a<\/span>irport property. Grapevine Lake makes up 1\/10 of the city’s area, which lowers its noise level somewhat.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1440902,"id":1440902,"title":"Grapevine_TX-01","filename":"Grapevine_TX-01-scaled.jpg","filesize":695899,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/grapevine_tx-01","alt":"Noise patterns for Grapeville, Texas.","author":"8492","description":"","caption":"","name":"grapevine_tx-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 00:33:53","modified":"2021-12-17 00:34:14","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1867,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-scaled.jpg","large-width":1481,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Grapevine_TX-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#1 Quietest – Poinciana CDP, Florida<\/strong>
\nPoinciana is a large area with enough development to push its population above 50k. The census place is quite far from\u00a0<\/span>the Orlando<\/span>\u00a0International Airport, and the closest Interstate Highway, I-4, is 4 miles away at the closest point. Its many lakes and swampy terrain create barriers to surface travel, so no main roads go through it. It’s not really between any point A and point B<\/span>, and this keeps traffic noise down.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1440912,"id":1440912,"title":"Poinciana_FL-01","filename":"Poinciana_FL-01-scaled.jpg","filesize":587004,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/poinciana_fl-01","alt":"Noise patterns for Poinciana CDP, Florida","author":"8492","description":"","caption":"","name":"poinciana_fl-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 00:36:33","modified":"2021-12-17 00:37:12","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#2 Quietest – Buckeye, Arizona<\/strong>
\nBuckeye, Arizona is a very large, unusually shaped city at the western edge of the Phoenix Metropolitan Area. Phoenix Sky Harbor International Airport is far to the city’s east and piecemeal incorporation has limited its exposure to the noise of Interstate 10.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1440932,"id":1440932,"title":"BuckeyeCity_AZ","filename":"BuckeyeCity_AZ-scaled.jpg","filesize":454779,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/buckeyecity_az","alt":"Noise patterns for Buckeye, Arizona","author":"8492","description":"","caption":"","name":"buckeyecity_az","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 00:39:16","modified":"2021-12-17 00:39:36","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ-scaled.jpg"},{"acf_fc_layout":"content","content":"

#3 Quietest – Carson City, Nevada<\/strong>
\nCarson City is a very\u00a0<\/span>large incorporated<\/span>\u00a0area in Nevada, which merged with its county of Ormsby in the 1960s. A lot of Carson City’s area is forested land and even includes some Tahoe lakeshore.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1440942,"id":1440942,"title":"CarsonCity_NV-01","filename":"CarsonCity_NV-01-scaled.jpg","filesize":287137,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/carsoncity_nv-01","alt":"Noise patterns for Carson City, Nevada","author":"8492","description":"","caption":"","name":"carsoncity_nv-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 00:41:23","modified":"2021-12-17 00:42:26","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

The brightest cities we found:<\/span><\/span><\/h2>\n

#1 Brightest city at night – Union City, New Jersey<\/strong>
\nUnion City is a small city in\u00a0<\/span>area<\/span>\u00a0in urban New Jersey. Unlike Bayonne or Jersey City, none of its land\u00a0<\/span>area<\/span>\u00a0is in the meadowlands\/estuary. Much of the city’s small footprint\u00a0<\/span>is<\/span>\u00a0in well-illuminated dense urban areas.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1440982,"id":1440982,"title":"UnionCity_NJ-01","filename":"UnionCity_NJ-01-scaled.jpg","filesize":494039,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/UnionCity_NJ-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/unioncity_nj-01","alt":"Nighttime light patterns for Union City, New Jersey","author":"8492","description":"","caption":"","name":"unioncity_nj-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 00:54:11","modified":"2021-12-17 01:00:43","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/UnionCity_NJ-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/UnionCity_NJ-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/UnionCity_NJ-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/UnionCity_NJ-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/UnionCity_NJ-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/UnionCity_NJ-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/UnionCity_NJ-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/UnionCity_NJ-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

#2 Brightest city at night – Paradise CDP, Nevada<\/strong>
\nParadise CDP includes the very bright lights of Las Vegas Strip south of Desert Inn\u00a0<\/span>Boulevard<\/span>. Casinos, shopping centers, and Harry Reid International Airport light the area all night. <\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441002,"id":1441002,"title":"ParadiseCIty_NV-01","filename":"ParadiseCIty_NV-01-scaled.jpg","filesize":372122,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/paradisecity_nv-01","alt":"Nighttime light patterns for Paradise CDP, Nevada.","author":"8492","description":"","caption":"","name":"paradisecity_nv-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 01:02:15","modified":"2021-12-17 01:04:05","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#3 Brightest city at night – Cicero, Illinois<\/strong>
\nCicero is only slightly brighter than Chicago overall, probably because it is smaller and more evenly lit. It is much brighter than cities in\u00a0<\/span>exurban Chicago<\/span>\u00a0like Elgin or Joliet.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441012,"id":1441012,"title":"Cicero_IL-01","filename":"Cicero_IL-01-scaled.jpg","filesize":377359,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/cicero_il-01","alt":"Nighttime light patterns for Cicero, Illinois.","author":"8492","description":"","caption":"","name":"cicero_il-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 01:05:01","modified":"2021-12-17 01:05:20","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Cicero_IL-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#1 Darkest city at night – Buckeye, Arizona<\/strong>
\nMuch of the City of Buckeye is undeveloped and unilluminated. Buckeye is very large and has expanded across the Sonoran Desert west of Phoenix.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441042,"id":1441042,"title":"BuckeyeCity_AZ2-01","filename":"BuckeyeCity_AZ2-01-scaled.jpg","filesize":475331,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/buckeyecity_az2-01","alt":"Nightime light patterns for Buckeye City, Arizona","author":"8492","description":"","caption":"","name":"buckeyecity_az2-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 01:09:53","modified":"2021-12-17 01:10:16","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ2-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#2 Darkest city at night – Suffolk, Virginia<\/strong>
\nIndependent cities in Virginia can have very large areas.\u00a0<\/span>The City of Suffolk, Virginia is the largest independent city in the state. Suffolk<\/span>\u00a0has an urban portion but a\u00a0<\/span>lot<\/span> of the city area is dark. Some of<\/span>\u00a0Suffolk<\/span>\u00a0is<\/span>\u00a0<\/span>part of the Great Dismal Swamp National Wildlife Refuge.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441052,"id":1441052,"title":"SuffolkCity_VA-01","filename":"SuffolkCity_VA-01-scaled.jpg","filesize":442651,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/suffolkcity_va-01","alt":"Nighttime light patterns for Suffolk City, Virginia","author":"8492","description":"","caption":"","name":"suffolkcity_va-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 01:12:36","modified":"2021-12-17 01:13:02","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SuffolkCity_VA-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#2 Darkest city at night – Marana, Arizona<\/strong>
\nLike Buckeye, Marana is a large city in area without much development\u00a0<\/span>(yet)<\/span>. Northwest of Tucson, it is a large area of Arizona with some houses and street lighting,\u00a0<\/span>but\u00a0<\/span>its boundary line has extended well beyond its populated area.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441062,"id":1441062,"title":"Marana_AZ-01","filename":"Marana_AZ-01-scaled.jpg","filesize":385834,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/marana_az-01","alt":"Nighttime light patterns for Marana, Arizona.","author":"8492","description":"","caption":"","name":"marana_az-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 01:14:08","modified":"2021-12-17 01:14:34","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-scaled.jpg","medium-width":358,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-scaled.jpg","medium_large-width":768,"medium_large-height":560,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-scaled.jpg","large-width":1482,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-1536x1120.jpg","1536x1536-width":1536,"1536x1536-height":1120,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-2048x1493.jpg","2048x2048-width":2048,"2048x2048-height":1493,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-638x465.jpg","card_image-width":638,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-1481x1080.jpg","wide_image-width":1481,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Marana_AZ-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

The Noisiest\/Brightest and the Quietest\/Darkest<\/span>\u00a0<\/span><\/h2>\n

To find the cities with the most\/least sensory overload, we simply added the ranking of their noise and light\u00a0together to make a combined score.<\/span>\u00a0<\/span><\/p>\n

#1 No<\/span>i<\/span>siest\/Brightest\u00a0<\/span>–\u00a0<\/span><\/strong>Elizabeth, New Jersey<\/strong>
\n<\/span><\/span>Elizabeth, New Jersey\u00a0<\/span>is<\/span>\u00a0<\/span>the noisiest city we found, but it\u2019s also the seventh brightest. This gave it a combined rank of 8<\/span>.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441302,"id":1441302,"title":"Elizabeth_NJ2-01","filename":"Elizabeth_NJ2-01-scaled.jpg","filesize":568713,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/elizabeth_nj2-01","alt":"Noise and nighttime lights patters for Elizabeth, New Jersey.","author":"8492","description":"","caption":"","name":"elizabeth_nj2-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 04:25:22","modified":"2021-12-17 04:25:56","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1483,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-scaled.jpg","medium-width":451,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-scaled.jpg","medium_large-width":768,"medium_large-height":445,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-scaled.jpg","large-width":1864,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-1536x890.jpg","1536x1536-width":1536,"1536x1536-height":890,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-2048x1187.jpg","2048x2048-width":2048,"2048x2048-height":1187,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-803x465.jpg","card_image-width":803,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-1864x1080.jpg","wide_image-width":1864,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Elizabeth_NJ2-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#2\u00a0<\/span>No<\/span>i<\/span>siest\/Brightest –\u00a0<\/span><\/strong>Paradise CDP, Nevada<\/strong>
\n<\/span><\/span>The bright lights of the Strip\u00a0<\/span>highlight this\u00a0<\/span>CDP just south of the City of Las Vegas.\u00a0<\/span>There are dark parts of this CDP as\u00a0<\/span>well<\/span>\u00a0but the bright parts are\u00a0<\/span>very<\/span>\u00a0bright<\/span>\u00a0indeed<\/span>.\u00a0<\/span>Home to three freeways and Harry Reid International Airport, it<\/span>\u2019s also the eighth noisiest place we found.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441232,"id":1441232,"title":"ParadiseCIty_NV2-01","filename":"ParadiseCIty_NV2-01-scaled.jpg","filesize":323328,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/paradisecity_nv2-01","alt":"Comparing the nighttime lights and noise patterns of Paradise CDP, Nevada.","author":"8492","description":"","caption":"","name":"paradisecity_nv2-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 04:01:53","modified":"2021-12-17 04:02:36","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1483,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-scaled.jpg","medium-width":451,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-scaled.jpg","medium_large-width":768,"medium_large-height":445,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-scaled.jpg","large-width":1864,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-1536x890.jpg","1536x1536-width":1536,"1536x1536-height":890,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-2048x1187.jpg","2048x2048-width":2048,"2048x2048-height":1187,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-803x465.jpg","card_image-width":803,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-1864x1080.jpg","wide_image-width":1864,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/ParadiseCIty_NV2-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#<\/span>3<\/span>\u00a0<\/span>No<\/span>i<\/span>siest\/Brightest –\u00a0<\/span>Newark<\/span><\/strong>, New Jersey<\/strong>
\n<\/span><\/span>New Jersey\u2019s most populous city<\/span>\u00a0<\/span>is\u00a0<\/span>noisy from Newark Liberty International Airport and the highways that run through it.\u00a0<\/span>I<\/span>t<\/span>s nighttime lights\u00a0<\/span>make it\u00a0<\/span>the ninth brightest place in the list.\u00a0<\/span>The northernmost\u00a0<\/span>and westernmost parts of the city are a bit dark and keep it\u00a0<\/span>out of the very<\/span>\u00a0top<\/span>.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441242,"id":1441242,"title":"Newark_NJ-01","filename":"Newark_NJ-01-scaled.jpg","filesize":561262,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/newark_nj-01","alt":"","author":"8492","description":"","caption":"","name":"newark_nj-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 04:04:09","modified":"2021-12-17 04:04:09","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1483,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-scaled.jpg","medium-width":451,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-scaled.jpg","medium_large-width":768,"medium_large-height":445,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-scaled.jpg","large-width":1864,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-1536x890.jpg","1536x1536-width":1536,"1536x1536-height":890,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-2048x1187.jpg","2048x2048-width":2048,"2048x2048-height":1187,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-803x465.jpg","card_image-width":803,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-1864x1080.jpg","wide_image-width":1864,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Newark_NJ-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#1\u00a0<\/span>Quietest\/Darkest –<\/span>\u00a0Buckeye<\/span><\/strong>, Arizona<\/strong>
\n<\/span><\/span>Buckeye\u2019s city limit lines\u00a0<\/span>have expanded\u00a0<\/span>far ahead of<\/span>\u00a0the urban area\u00a0<\/span>within its limits.\u00a0<\/span>According to\u00a0<\/span><\/span>Esri\u00a0<\/span>2020 Land Cover of the World<\/span><\/span><\/a>, Buckeye i<\/span>s\u00a0<\/span>only 6% built up area.\u00a0<\/span>A<\/span>ctive cropland (<\/span>8%<\/span>)\u00a0<\/span>even outnumbers the urban area<\/span>.\u00a0<\/span>A lot of\u00a0<\/span>Buckeye\u2019s<\/span>\u00a0city limits appear to be\u00a0<\/span>strategic\u00a0<\/span>additions\u00a0<\/span>in advance of actual development.\u00a0<\/span><\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441252,"id":1441252,"title":"BuckeyeCity_AZ3-01","filename":"BuckeyeCity_AZ3-01-scaled.jpg","filesize":420665,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/buckeyecity_az3-01","alt":"Comparing nighttime lights and noise patterns of Buckeye, Arizona.","author":"8492","description":"","caption":"","name":"buckeyecity_az3-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 04:05:46","modified":"2021-12-17 04:06:12","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1483,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-scaled.jpg","medium-width":451,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-scaled.jpg","medium_large-width":768,"medium_large-height":445,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-scaled.jpg","large-width":1864,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-1536x890.jpg","1536x1536-width":1536,"1536x1536-height":890,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-2048x1187.jpg","2048x2048-width":2048,"2048x2048-height":1187,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-803x465.jpg","card_image-width":803,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-1864x1080.jpg","wide_image-width":1864,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/BuckeyeCity_AZ3-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#2\u00a0<\/span>Quietest\/Darkest –\u00a0<\/span>Poinciana\u00a0<\/span><\/strong>CDP, Florida<\/strong>
\n<\/span>Ringed by trees, <\/span>Poinci<\/span>a<\/span>na\u00a0<\/span>CDP\u00a0<\/span>is<\/span>\u00a0<\/span>also home to\u00a0<\/span>The Nature Conservancy’s Disney Wilderness Preserve<\/span>.<\/span>\u00a0<\/span>I<\/span>t\u2019s one of the\u00a0<\/span>quietest and darkest major places in the lower 48 states<\/span>.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441262,"id":1441262,"title":"Poinciana_FL2-01","filename":"Poinciana_FL2-01-scaled.jpg","filesize":516395,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/poinciana_fl2-01","alt":"","author":"8492","description":"","caption":"","name":"poinciana_fl2-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 04:07:30","modified":"2021-12-17 04:08:07","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1483,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-scaled.jpg","medium-width":451,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-scaled.jpg","medium_large-width":768,"medium_large-height":445,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-scaled.jpg","large-width":1864,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-1536x890.jpg","1536x1536-width":1536,"1536x1536-height":890,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-2048x1187.jpg","2048x2048-width":2048,"2048x2048-height":1187,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-803x465.jpg","card_image-width":803,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-1864x1080.jpg","wide_image-width":1864,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/Poinciana_FL2-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

#3\u00a0<\/span>Quietest\/Darkest –\u00a0<\/span><\/strong>Carson City, Nevada<\/strong>
\n<\/span><\/span>As mentioned before, the\u00a0<\/span>built-up<\/span>\u00a0portion of Carson City is small<\/span>.\u00a0<\/span>It\u2019s notable as being the\u00a0<\/span>quietest\/darkest capital city in the list.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1441312,"id":1441312,"title":"CarsonCity_NV2-01","filename":"CarsonCity_NV2-01-scaled.jpg","filesize":321758,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/carsoncity_nv2-01","alt":"Nighttime lights and noise patterns for Carson City, Nevada.","author":"8492","description":"","caption":"","name":"carsoncity_nv2-01","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 04:29:24","modified":"2021-12-17 04:29:38","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1483,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-scaled.jpg","medium-width":451,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-scaled.jpg","medium_large-width":768,"medium_large-height":445,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-scaled.jpg","large-width":1864,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-1536x890.jpg","1536x1536-width":1536,"1536x1536-height":890,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-2048x1187.jpg","2048x2048-width":2048,"2048x2048-height":1187,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-803x465.jpg","card_image-width":803,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-1864x1080.jpg","wide_image-width":1864,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/CarsonCity_NV2-01-scaled.jpg"},{"acf_fc_layout":"content","content":"

For more information<\/span>\u00a0<\/span><\/h2>\n

Want to search around the map yourself?\u00a0 You will find all the layers in this\u00a0<\/span>webmap here<\/span><\/a>:<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1442062,"id":1442062,"title":"SensoryScoreWebMap","filename":"SensoryScoreWebMap.jpg","filesize":216833,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\/sensoryscorewebmap","alt":"Sensory Score web map detail with Burbank City selected.","author":"8492","description":"","caption":"","name":"sensoryscorewebmap","status":"inherit","uploaded_to":1439042,"date":"2021-12-17 18:14:20","modified":"2021-12-17 18:14:39","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1755,"height":880,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap.jpg","medium-width":464,"medium-height":233,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap.jpg","medium_large-width":768,"medium_large-height":385,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap.jpg","large-width":1755,"large-height":880,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap-1536x770.jpg","1536x1536-width":1536,"1536x1536-height":770,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap.jpg","2048x2048-width":1755,"2048x2048-height":880,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap-826x414.jpg","card_image-width":826,"card_image-height":414,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap.jpg","wide_image-width":1755,"wide_image-height":880}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/SensoryScoreWebMap.jpg"},{"acf_fc_layout":"content","content":"

Here\u2019s a few other\u00a0resources\u00a0we would like to bring\u00a0your\u00a0attention to:
\n<\/span>
\n<\/span>US Department of Transportation Bureau of Transportation Statistics<\/span><\/a>
\n<\/span>US Census Bureau layers available in the Living Atlas of the World<\/span><\/a>
\n<\/span>Environment layers available in the Living Atlas of the World<\/span><\/a>
\n<\/span>Esri Land Cover 2020 in the Living Atlas of the World<\/span><\/a>\u00a0<\/span><\/p>\n

Thank you very much.\u00a0 Please feel free to reach out to us with comments or questions.<\/p>\n"}],"authors":[{"ID":8492,"user_firstname":"Emily","user_lastname":"Meriam","nickname":"Emily Meriam","user_nicename":"emeriam","display_name":"Emily Meriam","user_email":"EMeriam@esri.com","user_url":"https:\/\/www.instagram.com\/emilymeriam\/","user_registered":"2018-10-26 16:33:49","user_description":"Emily Meriam has a diverse GIS background that spans more than two decades. Her portfolio includes mapping elephants in Thailand, wildlife poachers in the Republic of Palau, land-use issues around Yosemite National Park, and active wildfire incidents for the State of California. Since 2018, Emily has been with Esri's ArcGIS Living Atlas of the World. In this role she serves as lead Cartographer and Senior GIS Engineer for the Environment Team where she styles and designs layers, maps, and applications for the global GIS community. Outside of her professional endeavors, Emily is a passionate geographer who enjoys exploring the world with her family.","user_avatar":""},{"ID":4941,"user_firstname":"Michael","user_lastname":"Dangermond","nickname":"Michael Dangermond","user_nicename":"mdangermond","display_name":"Michael Dangermond","user_email":"MDangermond@esri.com","user_url":"","user_registered":"2018-03-02 00:16:36","user_description":"Michael Dangermond has over 25 years experience in GIS in such diverse fields as cartography, agriculture, international boundary delineation, environmental protection, regional planning, park planning, land and wildlife conservation, and forestry. He has been working for ESRI since 2010.","user_avatar":""}],"related_articles":[{"ID":1335082,"post_author":"7071","post_date":"2021-08-27 10:59:55","post_date_gmt":"2021-08-27 17:59:55","post_content":"","post_title":"Earth by Night","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"earth-by-night","to_ping":"","pinged":"","post_modified":"2024-04-12 07:36:36","post_modified_gmt":"2024-04-12 14:36:36","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1335082","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1299862,"post_author":"4941","post_date":"2021-07-16 12:11:24","post_date_gmt":"2021-07-16 19:11:24","post_content":"","post_title":"How To Produce a Thematic Image Layer with ArcGIS Image for ArcGIS Online","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"how-to-produce-a-thematic-image-layer-with-arcgis-image-for-arcgis-online","to_ping":"","pinged":"","post_modified":"2023-04-14 07:37:55","post_modified_gmt":"2023-04-14 14:37:55","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1299862","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1236902,"post_author":"4941","post_date":"2021-05-24 07:25:42","post_date_gmt":"2021-05-24 14:25:42","post_content":"","post_title":"Analyzing Soil Capability for Agriculture in the Living Atlas of the World","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"analyzing-soil-capability-for-agriculture-in-the-living-atlas-of-the-world","to_ping":"","pinged":"","post_modified":"2021-05-24 10:23:02","post_modified_gmt":"2021-05-24 17:23:02","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1236902","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseCard2.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/12\/NoiseBanner2.jpg"},"yoast_head":"\nSensory Overload: Where are America's noisiest and brightest cities?<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/sensory_overload_noisiest_brightest\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sensory Overload: Where are America's noisiest and 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