aws-edge-locations
Advanced tools
List of AWS CloudFront Edge Location code prefixes including latitude/longitude information, usable via a lookup mechanism.
If you're here for the plain data, have a look at
To install, you can do the following:
$ npm i aws-edge-locations
This package can be used to lookup the AWS CloudFront Edge Locations via the three character prefix (the first three characters of the location (e.g. IAD12) field in the CloudFront logs).
const AWSEdgeLocations = require('aws-edge-locations');
const el = new AWSEdgeLocations();
const location = el.lookup('IAD12'.substr(0,3)); // Use only the first three characters!
/* returns
{
"city": "Washington",
"state": "District of Columbia",
"country": "United States",
"countryCode": "US",
"count": 20,
"latitude": 38.94449997,
"longitude": -77.45580292,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
}
*/
const invalid = el.lookup('FOO'); // returns false
// Get edge location count
const locationCount = el.getLocationCount(); // returns 98
// Get PoP count
const popCount = el.getPoPCount() // returns 475
This package is published as an UMD module, and can be used in the browser directly from unpkg.
<html>
<head>
<script src="https://unpkg.com/aws-edge-locations"></script>
</head>
<body>
<script>
// Using the global variable
document.write('There are ' + awsEdgeLocations.getLocationCount() + ' edge locations');
</script>
</body>
</html>
After installation of jq library, run npm run generate
To prepare the data regeneration, please run npm run download-airports && npm run filter-airports. This step requires an installation of jq on the machine where the commands are run.
The generate.js script will regenerate the csv and json versions of the AWS CloudFront Edge Location list in the dist folder.
It does this by extracting the information from the Amazon CloudFront Key Features page, cleaning and unifiying it, and merging it with airport data (the first three characters of the location field are IATA airport codes) to also get the latitude/longitude information.
Also, there are some manual overrides when it wasn't possible to automatically determine the correct IATA code from the city names.
This project is considered as in the alpha stage, so there's no guarantee that the data is accurate. Please feel free to test and give feedback either via creating an issue or a pr
The CSV version of the data can be found at dist/aws-edge-locations.csv. The file is using , as field separator.
code,city,state,country,country_code,count,latitude,longitude,region,pricing_region
IAD,Washington,District of Columbia,United States,US,20,38.94449997,-77.45580292,North America,"United States, Mexico, & Canada"
ORD,Chicago,Illinois,United States,US,20,41.978611,-87.904722,North America,"United States, Mexico, & Canada"
JFK,New York,New York,United States,US,8,40.639801,-73.7789,North America,"United States, Mexico, & Canada"
ATL,Atlanta,Georgia,United States,US,17,33.6367,-84.428101,North America,"United States, Mexico, & Canada"
LAX,Los Angeles,California,United States,US,15,33.942501,-118.407997,North America,"United States, Mexico, & Canada"
MIA,Miami,Florida,United States,US,11,25.79319953918457,-80.29060363769531,North America,"United States, Mexico, & Canada"
DFW,Dallas-Fort Worth,Texas,United States,US,18,32.896801,-97.038002,North America,"United States, Mexico, & Canada"
IAH,Houston,Texas,United States,US,6,29.984399795532227,-95.34140014648438,North America,"United States, Mexico, & Canada"
SFO,San Francisco,California,United States,US,8,37.61899948120117,-122.375,North America,"United States, Mexico, & Canada"
BOS,Boston,Massachusetts,United States,US,5,42.36429977,-71.00520325,North America,"United States, Mexico, & Canada"
DEN,Denver,Colorado,United States,US,6,39.861698150635,-104.672996521,North America,"United States, Mexico, & Canada"
PDX,Portland,Oregon,United States,US,2,45.58869934,-122.5979996,North America,"United States, Mexico, & Canada"
SEA,Seattle,Washington,United States,US,6,47.448889,-122.309444,North America,"United States, Mexico, & Canada"
MSP,Minneapolis,Minnesota,United States,US,4,44.882,-93.221802,North America,"United States, Mexico, & Canada"
PHX,Phoenix,Arizona,United States,US,3,33.43429946899414,-112.01200103759766,North America,"United States, Mexico, & Canada"
PHL,Philadelphia,Pennsylvania,United States,US,2,39.87189865112305,-75.24109649658203,North America,"United States, Mexico, & Canada"
SLC,Salt Lake City,Utah,United States,US,1,40.78839874267578,-111.97799682617188,North America,"United States, Mexico, & Canada"
BNA,Nashville,Tennessee,United States,US,2,36.1245002746582,-86.6781997680664,North America,"United States, Mexico, & Canada"
DTW,Detroit,Michigan,United States,US,2,42.212398529052734,-83.35340118408203,North America,"United States, Mexico, & Canada"
TPA,Tampa,Florida,United States,US,2,27.975500106811523,-82.533203125,North America,"United States, Mexico, & Canada"
EWR,Newark,New Jersey,United States,US,10,40.692501068115234,-74.168701171875,North America,"United States, Mexico, & Canada"
CMH,Columbus,Ohio,United States,US,2,39.998001,-82.891899,North America,"United States, Mexico, & Canada"
MCI,Kansas City,Missouri,United States,US,2,39.2976,-94.713898,North America,"United States, Mexico, & Canada"
QRO,Queretaro,,North America,MX,1,20.6173,-100.185997,undefined,"null"
FRA,Frankfurt am Main,,Germany,DE,17,50.033333,8.570556,Europe,"Europe & Israel"
DUS,Düsseldorf,,Germany,DE,3,51.289501,6.76678,Europe,"Europe & Israel"
HAM,Hamburg,,Germany,DE,6,53.630401611328,9.9882297515869,Europe,"Europe & Israel"
MUC,Munich,,Germany,DE,4,48.353802,11.7861,Europe,"Europe & Israel"
TXL,Berlin,,Germany,DE,5,52.559722,13.287778,Europe,"Europe & Israel"
CDG,Paris,,France,FR,11,49.012798,2.55,Europe,"Europe & Israel"
MRS,Marseille,,France,FR,6,43.439271922,5.22142410278,Europe,"Europe & Israel"
MXP,Milan,,Italy,IT,9,45.6306,8.72811,Europe,"Europe & Israel"
FCO,Rome,,Italy,IT,6,41.8002778,12.2388889,Europe,"Europe & Israel"
PMO,Palermo,,Italy,IT,1,38.175999,13.091,Europe,"Europe & Israel"
AMS,Amsterdam,,Netherlands,NL,5,52.308601,4.76389,Europe,"Europe & Israel"
MAN,Manchester,,UK,GB,5,53.35369873046875,-2.2749500274658203,Europe,"Europe & Israel"
LHR,London,,UK,GB,25,51.4775,-0.461389,Europe,"Europe & Israel"
DUB,Dublin,,Ireland,IE,2,53.421299,-6.27007,Europe,"Europe & Israel"
VIE,Vienna,,Austria,AT,3,48.110298156738,16.569700241089,Europe,"Europe & Israel"
ARN,Stockholm,,Sweden,SE,4,59.651901245117,17.918600082397,Europe,"Europe & Israel"
CPH,Copenhagen,,Denmark,DK,3,55.617900848389,12.656000137329,Europe,"Europe & Israel"
HEL,Helsinki,,Finland,FI,4,60.317199707031,24.963300704956,Europe,"Europe & Israel"
ATH,Athens,,Greece,GR,1,37.9364013672,23.9444999695,Europe,"Europe & Israel"
BRU,Brussels,,Belgium,BE,1,50.901401519800004,4.48443984985,Europe,"Europe & Israel"
BUD,Budapest,,Hungary,HU,1,47.42976,19.261093,Europe,"Europe & Israel"
LIS,Lisbon,,Portugal,PT,1,38.7813,-9.13592,Europe,"Europe & Israel"
OSL,Oslo,,Norway,NO,2,60.193901062012,11.100399971008,Europe,"Europe & Israel"
OTP,Bucharest,,Romania,RO,1,44.5711111,26.085,Europe,"Europe & Israel"
PRG,Prague,,Czech Republic,CZ,1,50.1008,14.26,Europe,"Europe & Israel"
SOF,Sofia,,Bulgaria,BG,1,42.696693420410156,23.411436080932617,Europe,"Europe & Israel"
WAW,Warsaw,,Poland,PL,3,52.165833,20.967222,Europe,"Europe & Israel"
ZAG,Zagreb,,Croatia,HR,1,45.7429008484,16.0687999725,Europe,"Europe & Israel"
ZRH,Zurich,,Switzerland,CH,2,47.464699,8.54917,Europe,"Europe & Israel"
BCN,Barcelona,,Spain,ES,2,41.2971,2.07846,Europe,"Europe & Israel"
MAD,Madrid,,Spain,ES,10,40.471926,-3.56264,Europe,"Europe & Israel"
DEL,New Delhi,,India,IN,14,28.5665,77.103104,Asia,"India"
MAA,Chennai,,India,IN,8,12.990005493164062,80.16929626464844,Asia,"India"
BOM,Mumbai,,India,IN,8,19.0886993408,72.8678970337,Asia,"India"
PNQ,Pune,,India,IN,4,18.58209991455078,73.9197006225586,Asia,"India"
BLR,Bangalore,,India,IN,5,13.1979,77.706299,Asia,"India"
HYD,Hyderabad,,India,IN,5,17.231318,78.429855,Asia,"India"
SIN,Singapore,,Singapore,SG,7,1.35019,103.994003,Asia,"Hong Kong, Indonesia, Philippines, Singapore, South Korea, Taiwan, & Thailand"
KIX,Osaka,,Japan,JP,5,34.42729949951172,135.24400329589844,Asia,"Japan"
NRT,Tokyo,,Japan,JP,22,35.764702,140.386002,Asia,"Japan"
TPE,Taoyuan,,Taiwan,TW,3,25.0777,121.233002,Asia,"Hong Kong, Indonesia, Philippines, Singapore, South Korea, Taiwan, & Thailand"
ICN,Seoul,,Korea,KR,8,37.46910095214844,126.45099639892578,Asia,"Hong Kong, Indonesia, Philippines, Singapore, South Korea, Taiwan, & Thailand"
BKK,Bangkok,,Thailand,TH,2,13.689999,100.750114,Asia,"Hong Kong, Indonesia, Philippines, Singapore, South Korea, Taiwan, & Thailand"
CCU,Kolkata,,India,IN,2,22.654699325561523,88.44670104980469,Asia,"India"
CGK,Jakarta,,Indonesia,ID,5,-6.1255698204,106.65599823,Asia,"Hong Kong, Indonesia, Philippines, Singapore, South Korea, Taiwan, & Thailand"
KUL,Kuala Lumpur,,Malaysia,MY,2,2.745579957962,101.70999908447,Asia,"Hong Kong, Indonesia, Philippines, Singapore, South Korea, Taiwan, & Thailand"
MNL,Manila,,Philippines,PH,1,14.5086,121.019997,Asia,"Hong Kong, Indonesia, Philippines, Singapore, South Korea, Taiwan, & Thailand"
HAN,Hanoi,,Vietnam,VN,1,21.221200942993164,105.80699920654297,Asia,"Hong Kong, Indonesia, Philippines, Singapore, South Korea, Taiwan, & Thailand"
SGN,Ho Chi Minh City,,Vietnam,VN,1,10.8187999725,106.652000427,Asia,"Hong Kong, Indonesia, Philippines, Singapore, South Korea, Taiwan, & Thailand"
SYD,Sydney,,Australia,AU,4,-33.94609832763672,151.177001953125,Australia & New Zealand,"Australia & New Zealand"
AKL,Auckland,,New Zealand,NZ,2,-37.008098602299995,174.792007446,Australia & New Zealand,"Australia & New Zealand"
MEL,Melbourne,,Australia,AU,3,-37.673302,144.843002,Australia & New Zealand,"Australia & New Zealand"
PER,Perth,,Australia,AU,1,-31.94029998779297,115.96700286865234,Australia & New Zealand,"Australia & New Zealand"
GRU,Sao Paulo,,Brazil,BR,8,-23.435556,-46.473056,South America,"South America"
GIG,Rio De Janeiro,,Brazil,BR,5,-22.8099994659,-43.2505569458,South America,"South America"
FOR,Fortaleza,,Brazil,BR,4,-3.776279926300049,-38.53260040283203,South America,"South America"
BOG,Bogota,,Colombia,CO,3,4.70159,-74.1469,South America,"South America"
EZE,Buenos Aires,,Argentina,AR,2,-34.8222,-58.5358,South America,"South America"
SCL,Santiago,,Chile,CL,3,-33.393001556396484,-70.78579711914062,South America,"South America"
LIM,Lima,,Peru,PE,2,-12.0219,-77.114305,South America,"South America"
TLV,Tel Aviv,,Israel,IL,2,32.01139831542969,34.88669967651367,Middle East,"Europe & Israel"
BAH,Manama,,Bahrain,BH,2,26.27079963684082,50.63359832763672,Middle East,"South Africa, Kenya, & Middle East"
DXB,Dubai,,UAE,AE,1,25.2527999878,55.3643989563,Middle East,"South Africa, Kenya, & Middle East"
FJR,Fujairah,,UAE,AE,3,25.112222,56.324167,Middle East,"South Africa, Kenya, & Middle East"
MCT,Muscat,,Oman,OM,1,23.593299865722656,58.284400939941406,Middle East,"South Africa, Kenya, & Middle East"
CPT,Cape Town,,South Africa,ZA,1,-33.9648017883,18.6016998291,Africa,"South Africa, Kenya, & Middle East"
JNB,Johannesburg,,South Africa,ZA,1,-26.1392,28.246,Africa,"South Africa, Kenya, & Middle East"
NBO,Nairobi,,Kenya,KE,1,-1.31923997402,36.9277992249,Africa,"South Africa, Kenya, & Middle East"
LOS,Lagos,,Nigeria,NG,1,6.5773701667785645,3.321160078048706,Africa,"South Africa, Kenya, & Middle East"
PVG,Shanghai,,China,CN,1,31.143400192260742,121.80500030517578,China,"China"
SZX,Shenzhen,,China,CN,1,22.639299392700195,113.81099700927734,China,"China"
ZHY,Zhongwei,,China,CN,1,37.572778,105.154444,China,"China"
PEK,Beijing,,China,CN,1,40.080101013183594,116.58499908447266,China,"China"
HKG,Hong Kong,,China,HK,4,22.308901,113.915001,China,"China"
CMH,Columbus,Ohio,United States,US,1,39.998056,-82.891944,North America,"United States, Mexico, & Canada"
HIO,Hillsboro,Oregon,United States,US,1,45.540394,-122.949825,North America,"United States, Mexico, & Canada"
TPA,Tampa,Florida,United States,US,1,27.979722,-82.534722,North America,"United States, Mexico, & Canada"
PNQ,Pune,Maharashtra,India,IN,1,18.582222,73.919722,Asia,"India"
MCT,Muscat,Muscat,Oman,OM,1,23.6015386,58.2899376,Middle East,"South Africa, Kenya, & Middle East"
The JSON version of the data can be found at dist/aws-edge-locations.json.
{
"IAD": {
"city": "Washington",
"state": "District of Columbia",
"country": "United States",
"countryCode": "US",
"count": 20,
"latitude": 38.94449997,
"longitude": -77.45580292,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"ORD": {
"city": "Chicago",
"state": "Illinois",
"country": "United States",
"countryCode": "US",
"count": 20,
"latitude": 41.978611,
"longitude": -87.904722,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"JFK": {
"city": "New York",
"state": "New York",
"country": "United States",
"countryCode": "US",
"count": 8,
"latitude": 40.639801,
"longitude": -73.7789,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"ATL": {
"city": "Atlanta",
"state": "Georgia",
"country": "United States",
"countryCode": "US",
"count": 17,
"latitude": 33.6367,
"longitude": -84.428101,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"LAX": {
"city": "Los Angeles",
"state": "California",
"country": "United States",
"countryCode": "US",
"count": 15,
"latitude": 33.942501,
"longitude": -118.407997,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"MIA": {
"city": "Miami",
"state": "Florida",
"country": "United States",
"countryCode": "US",
"count": 11,
"latitude": 25.79319953918457,
"longitude": -80.29060363769531,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"DFW": {
"city": "Dallas-Fort Worth",
"state": "Texas",
"country": "United States",
"countryCode": "US",
"count": 18,
"latitude": 32.896801,
"longitude": -97.038002,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"IAH": {
"city": "Houston",
"state": "Texas",
"country": "United States",
"countryCode": "US",
"count": 6,
"latitude": 29.984399795532227,
"longitude": -95.34140014648438,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"SFO": {
"city": "San Francisco",
"state": "California",
"country": "United States",
"countryCode": "US",
"count": 8,
"latitude": 37.61899948120117,
"longitude": -122.375,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"BOS": {
"city": "Boston",
"state": "Massachusetts",
"country": "United States",
"countryCode": "US",
"count": 5,
"latitude": 42.36429977,
"longitude": -71.00520325,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"DEN": {
"city": "Denver",
"state": "Colorado",
"country": "United States",
"countryCode": "US",
"count": 6,
"latitude": 39.861698150635,
"longitude": -104.672996521,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"PDX": {
"city": "Portland",
"state": "Oregon",
"country": "United States",
"countryCode": "US",
"count": 2,
"latitude": 45.58869934,
"longitude": -122.5979996,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"SEA": {
"city": "Seattle",
"state": "Washington",
"country": "United States",
"countryCode": "US",
"count": 6,
"latitude": 47.448889,
"longitude": -122.309444,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"MSP": {
"city": "Minneapolis",
"state": "Minnesota",
"country": "United States",
"countryCode": "US",
"count": 4,
"latitude": 44.882,
"longitude": -93.221802,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"PHX": {
"city": "Phoenix",
"state": "Arizona",
"country": "United States",
"countryCode": "US",
"count": 3,
"latitude": 33.43429946899414,
"longitude": -112.01200103759766,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"PHL": {
"city": "Philadelphia",
"state": "Pennsylvania",
"country": "United States",
"countryCode": "US",
"count": 2,
"latitude": 39.87189865112305,
"longitude": -75.24109649658203,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"SLC": {
"city": "Salt Lake City",
"state": "Utah",
"country": "United States",
"countryCode": "US",
"count": 1,
"latitude": 40.78839874267578,
"longitude": -111.97799682617188,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"BNA": {
"city": "Nashville",
"state": "Tennessee",
"country": "United States",
"countryCode": "US",
"count": 2,
"latitude": 36.1245002746582,
"longitude": -86.6781997680664,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"DTW": {
"city": "Detroit",
"state": "Michigan",
"country": "United States",
"countryCode": "US",
"count": 2,
"latitude": 42.212398529052734,
"longitude": -83.35340118408203,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"TPA": {
"city": "Tampa",
"state": "Florida",
"country": "United States",
"countryCode": "US",
"count": 1,
"latitude": 27.979722,
"longitude": -82.534722,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"EWR": {
"city": "Newark",
"state": "New Jersey",
"country": "United States",
"countryCode": "US",
"count": 10,
"latitude": 40.692501068115234,
"longitude": -74.168701171875,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"CMH": {
"city": "Columbus",
"state": "Ohio",
"country": "United States",
"countryCode": "US",
"count": 1,
"latitude": 39.998056,
"longitude": -82.891944,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"MCI": {
"city": "Kansas City",
"state": "Missouri",
"country": "United States",
"countryCode": "US",
"count": 2,
"latitude": 39.2976,
"longitude": -94.713898,
"region": "North America",
"pricingRegion": "United States, Mexico, & Canada"
},
"QRO": {
"city": "Queretaro",
"country": "North America",
"countryCode": "MX",
"count": 1,
"latitude": 20.6173,
"longitude": -100.185997,
"pricingRegion": null
},
"FRA": {
"city": "Frankfurt am Main",
"country": "Germany",
"countryCode": "DE",
"count": 17,
"latitude": 50.033333,
"longitude": 8.570556,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"DUS": {
"city": "Düsseldorf",
"country": "Germany",
"countryCode": "DE",
"count": 3,
"latitude": 51.289501,
"longitude": 6.76678,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"HAM": {
"city": "Hamburg",
"country": "Germany",
"countryCode": "DE",
"count": 6,
"latitude": 53.630401611328,
"longitude": 9.9882297515869,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"MUC": {
"city": "Munich",
"country": "Germany",
"countryCode": "DE",
"count": 4,
"latitude": 48.353802,
"longitude": 11.7861,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"TXL": {
"city": "Berlin",
"country": "Germany",
"countryCode": "DE",
"count": 5,
"latitude": 52.559722,
"longitude": 13.287778,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"CDG": {
"city": "Paris",
"country": "France",
"countryCode": "FR",
"count": 11,
"latitude": 49.012798,
"longitude": 2.55,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"MRS": {
"city": "Marseille",
"country": "France",
"countryCode": "FR",
"count": 6,
"latitude": 43.439271922,
"longitude": 5.22142410278,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"MXP": {
"city": "Milan",
"country": "Italy",
"countryCode": "IT",
"count": 9,
"latitude": 45.6306,
"longitude": 8.72811,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"FCO": {
"city": "Rome",
"country": "Italy",
"countryCode": "IT",
"count": 6,
"latitude": 41.8002778,
"longitude": 12.2388889,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"PMO": {
"city": "Palermo",
"country": "Italy",
"countryCode": "IT",
"count": 1,
"latitude": 38.175999,
"longitude": 13.091,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"AMS": {
"city": "Amsterdam",
"country": "Netherlands",
"countryCode": "NL",
"count": 5,
"latitude": 52.308601,
"longitude": 4.76389,
"region": "Europe",
"pricingRegion": "Europe & Israel"
},
"MAN": {
"city": "Manchester",
"country": "UK",
"countryCode": "GB",
"count": 5,
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},
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}
}
FAQs
AWS CloudFront edge location data
The npm package aws-edge-locations receives a total of 7 weekly downloads. As such, aws-edge-locations popularity was classified as not popular.
We found that aws-edge-locations demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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