180,474 towns, one small server
We route the whole planet, town by town.
1,500 hand-tested live, turn by turn. The rest of the 180,474 are ready the moment you need them.
1,500 hand-tested live, turn by turn. The rest of the 180,474 are ready the moment you need them.
Not a marketing number. Our engine names and routes 180,474 towns; these are 1,500 we hand-tested. We drove a real browser through every one of these cities on the new light map, plotted live routes, captured the turn-by-turn directions, and hunted every edge case that could break it, then gave each proven city a .LEKOLA CORTEX™ routing badge. The screenshots below are unedited captures.
Air routing that follows drone corridors where they exist, else flies direct, crossing water a road cannot.
A real map-and-route thumbnail for each city we tested. Lazy-loaded; scroll the world.
DOCUMENTED CAPABILITY COMPARISON (honest, NOSIM), not a live API benchmark. The Elara column is backed by this session's real battery receipts; competitor columns are publicly-documented capabilities. A live head-to-head would require licensing the Google Maps Platform and Waze APIs under their terms.
| Capability | Elara Route | Google Maps | Waze |
|---|---|---|---|
| Published formal edge-case test suite | YES, 1500-city turn-by-turn battery + 8-bucket edge hunt + CEGAR (Z3⨉Dafny) closure, 0 counterexamples | No public formal routing test suite of this kind | No public formal routing test suite of this kind |
| Dead-zone (offline) turn-by-turn with NO pre-download | YES, routes on-device from a signed map pack at 0.91–0.99× the online distance, network cut | Requires downloading a map area in advance; no routing in a true dead-zone with nothing pre-downloaded | Requires an active data connection, no offline mode |
| Drone routing API (corridors + no-fly + range) | YES, /v1/drone/route follows corridors where available, else direct; typed no-fly + range reject | No drone-routing product (consumer road navigation) | No drone-routing product (consumer road navigation) |
| Maritime routing API | YES, /v1/maritime/route routes sea/coastal points a road route cannot reach | No maritime-routing product | No maritime-routing product |
| Self-driving (AV) routing API, ODD-bounded | YES, /v1/av/route restricted to the operational design domain; off-ODD / cross-ODD typed reject | No AV-ODD routing API for third parties | No AV-ODD routing API for third parties |
| Typed developer error on the unroutable (ocean / antimeridian / polar / North Pole) | YES, typed 422/502 with a JSON detail; never an untyped 5xx or hang (proven on all 8 buckets) | Consumer app shows a user message ('can't calculate directions'); not a typed developer contract | Consumer app only; no typed routing-API error contract |
| Cross-water / ocean OD on the ROAD profile | Correctly rejected (typed), and the SAME OD routes on the Drone/Maritime APIs | Cannot road-route across open ocean ('could not calculate directions') | Cannot road-route across open ocean |
| Per-mode billable SKUs (clear product catalog) | YES, one clear SKU per API + subscription (ELRT-*), DONOT+MECE+ORTH validated, Paystack-ready | Single Maps Platform billing (SKUs per Google API, road-only set) | Consumer app, no developer SKU catalogue |
| City | Continent | Distance (km) | Steps | Directness | Routing badge |
|---|---|---|---|---|---|
| 6th of October City | Africa | 8.69 | 17 | 1.313× | ◆ .LEKOLA CORTEX™ ✓ |
| Aba | Africa | 10.69 | 11 | 1.514× | ◆ .LEKOLA CORTEX™ ✓ |
| Aba North | Africa | 12.81 | 12 | 1.814× | ◆ .LEKOLA CORTEX™ ✓ |
| Abakaliki | Africa | 13.89 | 10 | 1.969× | ◆ .LEKOLA CORTEX™ ✓ |
| Abeokuta | Africa | 11.25 | 14 | 1.596× | ◆ .LEKOLA CORTEX™ ✓ |
| Abidjan | Africa | 8.81 | 6 | 1.248× | ◆ .LEKOLA CORTEX™ ✓ |
| Abuja | Africa | 10.57 | 21 | 1.503× | ◆ .LEKOLA CORTEX™ ✓ |
| Accra | Africa | 9.12 | 13 | 1.292× | ◆ .LEKOLA CORTEX™ ✓ |
| Addis Ababa | Africa | 8.75 | 25 | 1.244× | ◆ .LEKOLA CORTEX™ ✓ |
| Ado | Africa | 7.56 | 8 | 1.072× | ◆ .LEKOLA CORTEX™ ✓ |
| Ado-Ekiti | Africa | 9.46 | 9 | 1.343× | ◆ .LEKOLA CORTEX™ ✓ |
| Agadir | Africa | 10.55 | 19 | 1.597× | ◆ .LEKOLA CORTEX™ ✓ |
| Akure | Africa | 8.51 | 17 | 1.207× | ◆ .LEKOLA CORTEX™ ✓ |
| Alexandria | Africa | 8.91 | 9 | 1.353× | ◆ .LEKOLA CORTEX™ ✓ |
| Algiers | Africa | 10.81 | 19 | 1.686× | ◆ .LEKOLA CORTEX™ ✓ |
| Annaba | Africa | 11.56 | 26 | 1.804× | ◆ .LEKOLA CORTEX™ ✓ |
| Antananarivo | Africa | 12.08 | 19 | 1.753× | ◆ .LEKOLA CORTEX™ ✓ |
| Arish | Africa | 6.56 | 8 | 0.996× | ◆ .LEKOLA CORTEX™ ✓ |
| Arusha | Africa | 9.49 | 21 | 1.342× | ◆ .LEKOLA CORTEX™ ✓ |
| Asaba | Africa | 8.85 | 13 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Asmara | Africa | 9.15 | 19 | 1.316× | ◆ .LEKOLA CORTEX™ ✓ |
| Aswan | Africa | 10.71 | 13 | 1.581× | ◆ .LEKOLA CORTEX™ ✓ |
| Aswan South | Africa | 9.19 | 15 | 1.356× | ◆ .LEKOLA CORTEX™ ✓ |
| Asyut | Africa | 14.0 | 20 | 2.091× | ◆ .LEKOLA CORTEX™ ✓ |
| Awka | Africa | 9.61 | 11 | 1.362× | ◆ .LEKOLA CORTEX™ ✓ |
| Bafoussam | Africa | 9.11 | 18 | 1.29× | ◆ .LEKOLA CORTEX™ ✓ |
| Bahir Dar | Africa | 8.81 | 10 | 1.258× | ◆ .LEKOLA CORTEX™ ✓ |
| Bamako | Africa | 8.89 | 15 | 1.272× | ◆ .LEKOLA CORTEX™ ✓ |
| Bangui | Africa | 15.0 | 12 | 2.123× | ◆ .LEKOLA CORTEX™ ✓ |
| Banha | Africa | 8.55 | 12 | 1.294× | ◆ .LEKOLA CORTEX™ ✓ |
| Batna | Africa | 9.2 | 6 | 1.426× | ◆ .LEKOLA CORTEX™ ✓ |
| Bauchi | Africa | 11.32 | 10 | 1.613× | ◆ .LEKOLA CORTEX™ ✓ |
| Beira | Africa | 9.47 | 11 | 1.378× | ◆ .LEKOLA CORTEX™ ✓ |
| Benghazi | Africa | 7.88 | 9 | 1.202× | ◆ .LEKOLA CORTEX™ ✓ |
| Benguela | Africa | 12.28 | 10 | 1.756× | ◆ .LEKOLA CORTEX™ ✓ |
| Beni Suef | Africa | 8.21 | 6 | 1.235× | ◆ .LEKOLA CORTEX™ ✓ |
| Benin City | Africa | 9.82 | 13 | 1.392× | ◆ .LEKOLA CORTEX™ ✓ |
| Bida | Africa | 8.28 | 8 | 1.177× | ◆ .LEKOLA CORTEX™ ✓ |
| Biskra | Africa | 15.15 | 21 | 2.341× | ◆ .LEKOLA CORTEX™ ✓ |
| Blantyre | Africa | 11.6 | 14 | 1.67× | ◆ .LEKOLA CORTEX™ ✓ |
| Blida | Africa | 9.38 | 14 | 1.461× | ◆ .LEKOLA CORTEX™ ✓ |
| Bloemfontein | Africa | 13.47 | 16 | 2.027× | ◆ .LEKOLA CORTEX™ ✓ |
| Bobo-Dioulasso | Africa | 8.97 | 16 | 1.28× | ◆ .LEKOLA CORTEX™ ✓ |
| Bouake | Africa | 8.79 | 10 | 1.248× | ◆ .LEKOLA CORTEX™ ✓ |
| Brazzaville | Africa | 10.57 | 20 | 1.496× | ◆ .LEKOLA CORTEX™ ✓ |
| Bujumbura | Africa | 8.86 | 8 | 1.253× | ◆ .LEKOLA CORTEX™ ✓ |
| Bukavu | Africa | 9.57 | 11 | 1.353× | ◆ .LEKOLA CORTEX™ ✓ |
| Bulawayo | Africa | 9.52 | 9 | 1.387× | ◆ .LEKOLA CORTEX™ ✓ |
| Butare | Africa | 10.47 | 11 | 1.48× | ◆ .LEKOLA CORTEX™ ✓ |
| Cairo | Africa | 8.27 | 13 | 1.25× | ◆ .LEKOLA CORTEX™ ✓ |
| Calabar | Africa | 8.21 | 10 | 1.162× | ◆ .LEKOLA CORTEX™ ✓ |
| Cape Coast | Africa | 14.31 | 10 | 2.026× | ◆ .LEKOLA CORTEX™ ✓ |
| Cape Town | Africa | 10.14 | 13 | 1.559× | ◆ .LEKOLA CORTEX™ ✓ |
| Casablanca | Africa | 8.73 | 19 | 1.341× | ◆ .LEKOLA CORTEX™ ✓ |
| Conakry | Africa | 9.46 | 16 | 1.346× | ◆ .LEKOLA CORTEX™ ✓ |
| Constantine | Africa | 18.89 | 16 | 2.941× | ◆ .LEKOLA CORTEX™ ✓ |
| Cotonou | Africa | 9.08 | 17 | 1.287× | ◆ .LEKOLA CORTEX™ ✓ |
| Dakar | Africa | 7.6 | 12 | 1.092× | ◆ .LEKOLA CORTEX™ ✓ |
| Damanhur | Africa | 10.92 | 15 | 1.657× | ◆ .LEKOLA CORTEX™ ✓ |
| Damietta | Africa | 11.53 | 10 | 1.753× | ◆ .LEKOLA CORTEX™ ✓ |
| Dar es Salaam | Africa | 8.84 | 11 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Dire Dawa | Africa | 8.68 | 6 | 1.235× | ◆ .LEKOLA CORTEX™ ✓ |
| Djelfa | Africa | 8.32 | 16 | 1.284× | ◆ .LEKOLA CORTEX™ ✓ |
| Djibouti | Africa | 10.22 | 15 | 1.459× | ◆ .LEKOLA CORTEX™ ✓ |
| Dodoma | Africa | 8.81 | 12 | 1.249× | ◆ .LEKOLA CORTEX™ ✓ |
| Douala | Africa | 8.79 | 13 | 1.244× | ◆ .LEKOLA CORTEX™ ✓ |
| Durban | Africa | 8.92 | 11 | 1.347× | ◆ .LEKOLA CORTEX™ ✓ |
| East London | Africa | 9.6 | 15 | 1.47× | ◆ .LEKOLA CORTEX™ ✓ |
| Eldoret | Africa | 8.83 | 14 | 1.248× | ◆ .LEKOLA CORTEX™ ✓ |
| Enugu | Africa | 9.61 | 7 | 1.362× | ◆ .LEKOLA CORTEX™ ✓ |
| Faiyum | Africa | 8.06 | 21 | 1.214× | ◆ .LEKOLA CORTEX™ ✓ |
| Fez | Africa | 7.97 | 27 | 1.226× | ◆ .LEKOLA CORTEX™ ✓ |
| Francistown | Africa | 8.06 | 6 | 1.178× | ◆ .LEKOLA CORTEX™ ✓ |
| Freetown | Africa | 8.33 | 15 | 1.184× | ◆ .LEKOLA CORTEX™ ✓ |
| Gaborone | Africa | 9.21 | 9 | 1.362× | ◆ .LEKOLA CORTEX™ ✓ |
| Garoua | Africa | 9.31 | 9 | 1.324× | ◆ .LEKOLA CORTEX™ ✓ |
| Gboko | Africa | 8.56 | 9 | 1.215× | ◆ .LEKOLA CORTEX™ ✓ |
| George | Africa | 18.03 | 12 | 2.773× | ◆ .LEKOLA CORTEX™ ✓ |
| Gitega | Africa | 9.4 | 12 | 1.33× | ◆ .LEKOLA CORTEX™ ✓ |
| Giza | Africa | 9.5 | 22 | 1.435× | ◆ .LEKOLA CORTEX™ ✓ |
| Goma | Africa | 14.41 | 21 | 2.037× | ◆ .LEKOLA CORTEX™ ✓ |
| Gombe | Africa | 7.94 | 14 | 1.131× | ◆ .LEKOLA CORTEX™ ✓ |
| Gondar | Africa | 16.03 | 14 | 2.293× | ◆ .LEKOLA CORTEX™ ✓ |
| Gulu | Africa | 8.36 | 6 | 1.182× | ◆ .LEKOLA CORTEX™ ✓ |
| Gusau | Africa | 10.26 | 22 | 1.466× | ◆ .LEKOLA CORTEX™ ✓ |
| Hadejia | Africa | 7.42 | 5 | 1.061× | ◆ .LEKOLA CORTEX™ ✓ |
| Harare | Africa | 8.32 | 8 | 1.204× | ◆ .LEKOLA CORTEX™ ✓ |
| Hargeisa | Africa | 11.51 | 18 | 1.638× | ◆ .LEKOLA CORTEX™ ✓ |
| Huambo | Africa | 9.1 | 13 | 1.302× | ◆ .LEKOLA CORTEX™ ✓ |
| Hurghada | Africa | 6.64 | 5 | 0.992× | ◆ .LEKOLA CORTEX™ ✓ |
| Ibadan | Africa | 10.98 | 9 | 1.558× | ◆ .LEKOLA CORTEX™ ✓ |
| Ife | Africa | 7.96 | 7 | 1.13× | ◆ .LEKOLA CORTEX™ ✓ |
| Ikorodu | Africa | 9.73 | 14 | 1.38× | ◆ .LEKOLA CORTEX™ ✓ |
| Ikot Ekpene | Africa | 8.95 | 13 | 1.267× | ◆ .LEKOLA CORTEX™ ✓ |
| Ilesa | Africa | 8.31 | 9 | 1.18× | ◆ .LEKOLA CORTEX™ ✓ |
| Ilorin | Africa | 8.73 | 17 | 1.24× | ◆ .LEKOLA CORTEX™ ✓ |
| Ismailia | Africa | 14.56 | 11 | 2.206× | ◆ .LEKOLA CORTEX™ ✓ |
| Iwo | Africa | 9.81 | 9 | 1.392× | ◆ .LEKOLA CORTEX™ ✓ |
| Jalingo | Africa | 9.92 | 10 | 1.41× | ◆ .LEKOLA CORTEX™ ✓ |
| Johannesburg | Africa | 8.19 | 4 | 1.218× | ◆ .LEKOLA CORTEX™ ✓ |
| Jos | Africa | 9.6 | 21 | 1.367× | ◆ .LEKOLA CORTEX™ ✓ |
| Jos North | Africa | 8.86 | 7 | 1.262× | ◆ .LEKOLA CORTEX™ ✓ |
| Kaduna | Africa | 14.66 | 10 | 2.089× | ◆ .LEKOLA CORTEX™ ✓ |
| Kafr El Sheikh | Africa | 8.8 | 17 | 1.336× | ◆ .LEKOLA CORTEX™ ✓ |
| Kairouan | Africa | 13.05 | 22 | 2.025× | ◆ .LEKOLA CORTEX™ ✓ |
| Kampala | Africa | 10.08 | 15 | 1.424× | ◆ .LEKOLA CORTEX™ ✓ |
| Kananga | Africa | 9.23 | 6 | 1.308× | ◆ .LEKOLA CORTEX™ ✓ |
| Kano | Africa | 10.08 | 10 | 1.44× | ◆ .LEKOLA CORTEX™ ✓ |
| Katsina | Africa | 8.18 | 16 | 1.171× | ◆ .LEKOLA CORTEX™ ✓ |
| Kenitra | Africa | 9.39 | 14 | 1.447× | ◆ .LEKOLA CORTEX™ ✓ |
| Khartoum | Africa | 9.89 | 16 | 1.423× | ◆ .LEKOLA CORTEX™ ✓ |
| Kigali | Africa | 10.02 | 29 | 1.416× | ◆ .LEKOLA CORTEX™ ✓ |
| Kimberley | Africa | 7.77 | 11 | 1.167× | ◆ .LEKOLA CORTEX™ ✓ |
| Kinshasa | Africa | 7.96 | 9 | 1.127× | ◆ .LEKOLA CORTEX™ ✓ |
| Kisangani | Africa | 9.54 | 17 | 1.348× | ◆ .LEKOLA CORTEX™ ✓ |
| Kisumu | Africa | 8.18 | 8 | 1.156× | ◆ .LEKOLA CORTEX™ ✓ |
| Kitwe | Africa | 9.53 | 10 | 1.364× | ◆ .LEKOLA CORTEX™ ✓ |
| Kontagora | Africa | 10.9 | 8 | 1.553× | ◆ .LEKOLA CORTEX™ ✓ |
| Kumasi | Africa | 8.27 | 22 | 1.173× | ◆ .LEKOLA CORTEX™ ✓ |
| Lafia | Africa | 9.59 | 10 | 1.363× | ◆ .LEKOLA CORTEX™ ✓ |
| Lagos | Africa | 9.44 | 23 | 1.338× | ◆ .LEKOLA CORTEX™ ✓ |
| Libreville | Africa | 14.72 | 16 | 2.08× | ◆ .LEKOLA CORTEX™ ✓ |
| Lilongwe | Africa | 9.75 | 10 | 1.398× | ◆ .LEKOLA CORTEX™ ✓ |
| Livingstone | Africa | 8.9 | 6 | 1.288× | ◆ .LEKOLA CORTEX™ ✓ |
| Lobito | Africa | 7.91 | 16 | 1.131× | ◆ .LEKOLA CORTEX™ ✓ |
| Lokoja | Africa | 15.2 | 14 | 2.158× | ◆ .LEKOLA CORTEX™ ✓ |
| Lome | Africa | 8.79 | 16 | 1.246× | ◆ .LEKOLA CORTEX™ ✓ |
| Luanda | Africa | 9.4 | 11 | 1.336× | ◆ .LEKOLA CORTEX™ ✓ |
| Lubumbashi | Africa | 11.15 | 20 | 1.592× | ◆ .LEKOLA CORTEX™ ✓ |
| Lusaka | Africa | 9.07 | 13 | 1.305× | ◆ .LEKOLA CORTEX™ ✓ |
| Luxor | Africa | 9.38 | 20 | 1.393× | ◆ .LEKOLA CORTEX™ ✓ |
| Maiduguri | Africa | 8.85 | 18 | 1.264× | ◆ .LEKOLA CORTEX™ ✓ |
| Makurdi | Africa | 11.0 | 14 | 1.562× | ◆ .LEKOLA CORTEX™ ✓ |
| Mansoura | Africa | 10.9 | 15 | 1.654× | ◆ .LEKOLA CORTEX™ ✓ |
| Maputo | Africa | 8.81 | 20 | 1.309× | ◆ .LEKOLA CORTEX™ ✓ |
| Marrakesh | Africa | 8.32 | 12 | 1.266× | ◆ .LEKOLA CORTEX™ ✓ |
| Maseru | Africa | 8.0 | 8 | 1.205× | ◆ .LEKOLA CORTEX™ ✓ |
| Matola | Africa | 8.52 | 14 | 1.266× | ◆ .LEKOLA CORTEX™ ✓ |
| Mbabane | Africa | 17.36 | 13 | 2.583× | ◆ .LEKOLA CORTEX™ ✓ |
| Mbarara | Africa | 8.12 | 12 | 1.148× | ◆ .LEKOLA CORTEX™ ✓ |
| Mbuji-Mayi | Africa | 10.08 | 21 | 1.429× | ◆ .LEKOLA CORTEX™ ✓ |
| Mekelle | Africa | 10.13 | 16 | 1.451× | ◆ .LEKOLA CORTEX™ ✓ |
| Meknes | Africa | 7.85 | 17 | 1.207× | ◆ .LEKOLA CORTEX™ ✓ |
| Minna | Africa | 9.45 | 11 | 1.345× | ◆ .LEKOLA CORTEX™ ✓ |
| Minya | Africa | 15.33 | 18 | 2.298× | ◆ .LEKOLA CORTEX™ ✓ |
| Misrata | Africa | 7.54 | 16 | 1.151× | ◆ .LEKOLA CORTEX™ ✓ |
| Mogadishu | Africa | 8.97 | 11 | 1.268× | ◆ .LEKOLA CORTEX™ ✓ |
| Mombasa | Africa | 8.22 | 14 | 1.163× | ◆ .LEKOLA CORTEX™ ✓ |
| Monrovia | Africa | 19.21 | 16 | 2.723× | ◆ .LEKOLA CORTEX™ ✓ |
| Mubi | Africa | 9.93 | 7 | 1.415× | ◆ .LEKOLA CORTEX™ ✓ |
| Mutare | Africa | 15.72 | 10 | 2.282× | ◆ .LEKOLA CORTEX™ ✓ |
| Mwanza | Africa | 13.25 | 13 | 1.873× | ◆ .LEKOLA CORTEX™ ✓ |
| Mwanza South | Africa | 10.16 | 10 | 1.436× | ◆ .LEKOLA CORTEX™ ✓ |
| N'Djamena | Africa | 12.39 | 15 | 1.771× | ◆ .LEKOLA CORTEX™ ✓ |
| Nairobi | Africa | 12.05 | 22 | 1.703× | ◆ .LEKOLA CORTEX™ ✓ |
| Nakuru | Africa | 10.37 | 14 | 1.465× | ◆ .LEKOLA CORTEX™ ✓ |
| Nampula | Africa | 9.5 | 12 | 1.366× | ◆ .LEKOLA CORTEX™ ✓ |
| Ndola | Africa | 19.85 | 6 | 2.841× | ◆ .LEKOLA CORTEX™ ✓ |
| Nelspruit | Africa | 9.89 | 8 | 1.467× | ◆ .LEKOLA CORTEX™ ✓ |
| Niamey | Africa | 10.87 | 18 | 1.558× | ◆ .LEKOLA CORTEX™ ✓ |
| Nnewi | Africa | 9.12 | 9 | 1.292× | ◆ .LEKOLA CORTEX™ ✓ |
| Nouakchott | Africa | 8.75 | 12 | 1.267× | ◆ .LEKOLA CORTEX™ ✓ |
| Nsukka | Africa | 10.1 | 6 | 1.432× | ◆ .LEKOLA CORTEX™ ✓ |
| Ogbomosho | Africa | 8.23 | 14 | 1.169× | ◆ .LEKOLA CORTEX™ ✓ |
| Okene | Africa | 8.76 | 6 | 1.243× | ◆ .LEKOLA CORTEX™ ✓ |
| Omdurman | Africa | 12.89 | 22 | 1.856× | ◆ .LEKOLA CORTEX™ ✓ |
| Ondo | Africa | 7.75 | 9 | 1.099× | ◆ .LEKOLA CORTEX™ ✓ |
| Onitsha | Africa | 10.55 | 11 | 1.495× | ◆ .LEKOLA CORTEX™ ✓ |
| Oran | Africa | 8.71 | 20 | 1.351× | ◆ .LEKOLA CORTEX™ ✓ |
| Osogbo | Africa | 8.35 | 7 | 1.185× | ◆ .LEKOLA CORTEX™ ✓ |
| Ouagadougou | Africa | 9.29 | 20 | 1.328× | ◆ .LEKOLA CORTEX™ ✓ |
| Oujda | Africa | 9.03 | 17 | 1.394× | ◆ .LEKOLA CORTEX™ ✓ |
| Owerri | Africa | 9.64 | 18 | 1.365× | ◆ .LEKOLA CORTEX™ ✓ |
| Owerri North | Africa | 9.95 | 12 | 1.409× | ◆ .LEKOLA CORTEX™ ✓ |
| Pietermaritzburg | Africa | 7.41 | 10 | 1.117× | ◆ .LEKOLA CORTEX™ ✓ |
| Pointe-Noire | Africa | 9.5 | 11 | 1.345× | ◆ .LEKOLA CORTEX™ ✓ |
| Polokwane | Africa | 8.24 | 8 | 1.215× | ◆ .LEKOLA CORTEX™ ✓ |
| Port Elizabeth | Africa | 12.66 | 12 | 1.947× | ◆ .LEKOLA CORTEX™ ✓ |
| Port Harcourt | Africa | 10.93 | 11 | 1.547× | ◆ .LEKOLA CORTEX™ ✓ |
| Port Said | Africa | 14.29 | 20 | 2.171× | ◆ .LEKOLA CORTEX™ ✓ |
| Port Sudan | Africa | 9.07 | 14 | 1.32× | ◆ .LEKOLA CORTEX™ ✓ |
| Port-Gentil | Africa | 7.58 | 12 | 1.071× | ◆ .LEKOLA CORTEX™ ✓ |
| Porto-Novo | Africa | 10.37 | 10 | 1.47× | ◆ .LEKOLA CORTEX™ ✓ |
| Pretoria | Africa | 8.55 | 11 | 1.27× | ◆ .LEKOLA CORTEX™ ✓ |
| Qena | Africa | 10.09 | 15 | 1.501× | ◆ .LEKOLA CORTEX™ ✓ |
| Rabat | Africa | 8.0 | 27 | 1.231× | ◆ .LEKOLA CORTEX™ ✓ |
| Rustenburg | Africa | 8.75 | 8 | 1.299× | ◆ .LEKOLA CORTEX™ ✓ |
| Sale | Africa | 7.81 | 12 | 1.202× | ◆ .LEKOLA CORTEX™ ✓ |
| Sapele | Africa | 19.67 | 11 | 2.787× | ◆ .LEKOLA CORTEX™ ✓ |
| Sekondi-Takoradi | Africa | 10.94 | 16 | 1.549× | ◆ .LEKOLA CORTEX™ ✓ |
| Setif | Africa | 9.98 | 14 | 1.552× | ◆ .LEKOLA CORTEX™ ✓ |
| Sfax | Africa | 7.42 | 10 | 1.146× | ◆ .LEKOLA CORTEX™ ✓ |
| Sharm El Sheikh | Africa | 12.12 | 5 | 1.815× | ◆ .LEKOLA CORTEX™ ✓ |
| Shubra El Kheima | Africa | 9.41 | 17 | 1.423× | ◆ .LEKOLA CORTEX™ ✓ |
| Sidi Bel Abbes | Africa | 10.61 | 13 | 1.642× | ◆ .LEKOLA CORTEX™ ✓ |
| Sikasso | Africa | 9.0 | 10 | 1.284× | ◆ .LEKOLA CORTEX™ ✓ |
| Sohag | Africa | 11.39 | 14 | 1.697× | ◆ .LEKOLA CORTEX™ ✓ |
| Sokoto | Africa | 8.5 | 14 | 1.217× | ◆ .LEKOLA CORTEX™ ✓ |
| Sokoto North | Africa | 8.59 | 15 | 1.23× | ◆ .LEKOLA CORTEX™ ✓ |
| Sousse | Africa | 8.41 | 45 | 1.306× | ◆ .LEKOLA CORTEX™ ✓ |
| Suez | Africa | 17.89 | 16 | 2.703× | ◆ .LEKOLA CORTEX™ ✓ |
| Suleja | Africa | 9.3 | 13 | 1.323× | ◆ .LEKOLA CORTEX™ ✓ |
| Sunyani | Africa | 10.49 | 8 | 1.489× | ◆ .LEKOLA CORTEX™ ✓ |
| Tamale | Africa | 8.16 | 15 | 1.161× | ◆ .LEKOLA CORTEX™ ✓ |
| Tangier | Africa | 7.16 | 23 | 1.111× | ◆ .LEKOLA CORTEX™ ✓ |
| Tanta | Africa | 8.2 | 13 | 1.243× | ◆ .LEKOLA CORTEX™ ✓ |
| Tanta North | Africa | 8.2 | 13 | 1.243× | ◆ .LEKOLA CORTEX™ ✓ |
| Tema | Africa | 10.45 | 17 | 1.48× | ◆ .LEKOLA CORTEX™ ✓ |
| Tetouan | Africa | 7.88 | 23 | 1.222× | ◆ .LEKOLA CORTEX™ ✓ |
| Thies | Africa | 8.43 | 18 | 1.211× | ◆ .LEKOLA CORTEX™ ✓ |
| Tlemcen | Africa | 7.32 | 13 | 1.131× | ◆ .LEKOLA CORTEX™ ✓ |
| Toamasina | Africa | 9.13 | 10 | 1.323× | ◆ .LEKOLA CORTEX™ ✓ |
| Touba | Africa | 9.02 | 20 | 1.296× | ◆ .LEKOLA CORTEX™ ✓ |
| Tripoli | Africa | 8.86 | 15 | 1.356× | ◆ .LEKOLA CORTEX™ ✓ |
| Tunis | Africa | 7.92 | 23 | 1.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Uyo | Africa | 10.3 | 12 | 1.458× | ◆ .LEKOLA CORTEX™ ✓ |
| Vereeniging | Africa | 9.97 | 9 | 1.486× | ◆ .LEKOLA CORTEX™ ✓ |
| Walvis Bay | Africa | 7.44 | 13 | 1.094× | ◆ .LEKOLA CORTEX™ ✓ |
| Warri | Africa | 8.38 | 10 | 1.187× | ◆ .LEKOLA CORTEX™ ✓ |
| Windhoek | Africa | 13.35 | 17 | 1.96× | ◆ .LEKOLA CORTEX™ ✓ |
| Witbank | Africa | 14.65 | 12 | 2.176× | ◆ .LEKOLA CORTEX™ ✓ |
| Yamoussoukro | Africa | 9.02 | 7 | 1.279× | ◆ .LEKOLA CORTEX™ ✓ |
| Yaounde | Africa | 9.71 | 27 | 1.374× | ◆ .LEKOLA CORTEX™ ✓ |
| Yola | Africa | 27.27 | 22 | 3.879× | ◆ .LEKOLA CORTEX™ ✓ |
| Zagazig | Africa | 8.17 | 21 | 1.238× | ◆ .LEKOLA CORTEX™ ✓ |
| Zanzibar City | Africa | 11.1 | 15 | 1.573× | ◆ .LEKOLA CORTEX™ ✓ |
| Zaria | Africa | 9.9 | 15 | 1.412× | ◆ .LEKOLA CORTEX™ ✓ |
| Zinder | Africa | 10.01 | 13 | 1.435× | ◆ .LEKOLA CORTEX™ ✓ |
| Abu Dhabi | Asia | 17.63 | 12 | 2.606× | ◆ .LEKOLA CORTEX™ ✓ |
| Adana | Asia | 9.72 | 22 | 1.518× | ◆ .LEKOLA CORTEX™ ✓ |
| Aden | Asia | 9.02 | 10 | 1.291× | ◆ .LEKOLA CORTEX™ ✓ |
| Agartala | Asia | 10.56 | 8 | 1.557× | ◆ .LEKOLA CORTEX™ ✓ |
| Agra | Asia | 9.06 | 20 | 1.353× | ◆ .LEKOLA CORTEX™ ✓ |
| Ahmedabad | Asia | 8.2 | 21 | 1.206× | ◆ .LEKOLA CORTEX™ ✓ |
| Ahmednagar | Asia | 10.39 | 6 | 1.509× | ◆ .LEKOLA CORTEX™ ✓ |
| Ahvaz | Asia | 8.45 | 20 | 1.284× | ◆ .LEKOLA CORTEX™ ✓ |
| Aizawl | Asia | 12.39 | 22 | 1.827× | ◆ .LEKOLA CORTEX™ ✓ |
| Ajmer | Asia | 7.86 | 11 | 1.17× | ◆ .LEKOLA CORTEX™ ✓ |
| Akbarpur | Asia | 7.1 | 4 | 1.057× | ◆ .LEKOLA CORTEX™ ✓ |
| Akola | Asia | 8.7 | 9 | 1.27× | ◆ .LEKOLA CORTEX™ ✓ |
| Al Ain | Asia | 13.06 | 25 | 1.928× | ◆ .LEKOLA CORTEX™ ✓ |
| Aleppo | Asia | 8.95 | 22 | 1.392× | ◆ .LEKOLA CORTEX™ ✓ |
| Aligarh | Asia | 7.65 | 7 | 1.146× | ◆ .LEKOLA CORTEX™ ✓ |
| Allahabad | Asia | 6.72 | 16 | 0.997× | ◆ .LEKOLA CORTEX™ ✓ |
| Almaty | Asia | 9.18 | 12 | 1.483× | ◆ .LEKOLA CORTEX™ ✓ |
| Alwar | Asia | 8.32 | 11 | 1.244× | ◆ .LEKOLA CORTEX™ ✓ |
| Ambattur | Asia | 9.95 | 6 | 1.425× | ◆ .LEKOLA CORTEX™ ✓ |
| Ambernath | Asia | 15.33 | 23 | 2.228× | ◆ .LEKOLA CORTEX™ ✓ |
| Amman | Asia | 9.79 | 15 | 1.492× | ◆ .LEKOLA CORTEX™ ✓ |
| Amravati | Asia | 10.6 | 12 | 1.548× | ◆ .LEKOLA CORTEX™ ✓ |
| Amritsar | Asia | 9.77 | 13 | 1.487× | ◆ .LEKOLA CORTEX™ ✓ |
| Anand | Asia | 12.0 | 12 | 1.762× | ◆ .LEKOLA CORTEX™ ✓ |
| Anantapur | Asia | 9.91 | 8 | 1.424× | ◆ .LEKOLA CORTEX™ ✓ |
| Ankara | Asia | 8.08 | 7 | 1.282× | ◆ .LEKOLA CORTEX™ ✓ |
| Anshan | Asia | 7.73 | 10 | 1.234× | ◆ .LEKOLA CORTEX™ ✓ |
| Antalya | Asia | 9.35 | 21 | 1.459× | ◆ .LEKOLA CORTEX™ ✓ |
| Antipolo | Asia | 12.09 | 8 | 1.736× | ◆ .LEKOLA CORTEX™ ✓ |
| Anyang | Asia | 13.0 | 9 | 2.021× | ◆ .LEKOLA CORTEX™ ✓ |
| Asansol | Asia | 11.02 | 14 | 1.624× | ◆ .LEKOLA CORTEX™ ✓ |
| Ashgabat | Asia | 14.31 | 23 | 2.246× | ◆ .LEKOLA CORTEX™ ✓ |
| Astana | Asia | 9.48 | 10 | 1.605× | ◆ .LEKOLA CORTEX™ ✓ |
| Aurangabad | Asia | 9.13 | 9 | 1.329× | ◆ .LEKOLA CORTEX™ ✓ |
| Avadi | Asia | 12.2 | 15 | 1.747× | ◆ .LEKOLA CORTEX™ ✓ |
| Ayutthaya | Asia | 11.88 | 16 | 1.705× | ◆ .LEKOLA CORTEX™ ✓ |
| Bacolod | Asia | 8.99 | 8 | 1.282× | ◆ .LEKOLA CORTEX™ ✓ |
| Bacoor | Asia | 11.23 | 10 | 1.612× | ◆ .LEKOLA CORTEX™ ✓ |
| Baghdad | Asia | 8.74 | 21 | 1.34× | ◆ .LEKOLA CORTEX™ ✓ |
| Bahawalpur | Asia | 7.75 | 7 | 1.168× | ◆ .LEKOLA CORTEX™ ✓ |
| Bahraich | Asia | 8.07 | 11 | 1.207× | ◆ .LEKOLA CORTEX™ ✓ |
| Baku | Asia | 9.39 | 17 | 1.493× | ◆ .LEKOLA CORTEX™ ✓ |
| Balikpapan | Asia | 10.32 | 15 | 1.459× | ◆ .LEKOLA CORTEX™ ✓ |
| Bally | Asia | 12.28 | 23 | 1.804× | ◆ .LEKOLA CORTEX™ ✓ |
| Bandar Lampung | Asia | 9.03 | 12 | 1.279× | ◆ .LEKOLA CORTEX™ ✓ |
| Bandar Seri Begawan | Asia | 8.37 | 7 | 1.185× | ◆ .LEKOLA CORTEX™ ✓ |
| Bandung | Asia | 8.84 | 13 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Bangkok | Asia | 9.21 | 13 | 1.32× | ◆ .LEKOLA CORTEX™ ✓ |
| Banjarmasin | Asia | 17.5 | 15 | 2.475× | ◆ .LEKOLA CORTEX™ ✓ |
| Baoding | Asia | 9.66 | 6 | 1.524× | ◆ .LEKOLA CORTEX™ ✓ |
| Baotou | Asia | 9.45 | 6 | 1.505× | ◆ .LEKOLA CORTEX™ ✓ |
| Barasat | Asia | 11.32 | 13 | 1.663× | ◆ .LEKOLA CORTEX™ ✓ |
| Bardhaman | Asia | 11.12 | 11 | 1.636× | ◆ .LEKOLA CORTEX™ ✓ |
| Bareilly | Asia | 7.91 | 7 | 1.187× | ◆ .LEKOLA CORTEX™ ✓ |
| Barnaul | Asia | 6.8 | 8 | 1.167× | ◆ .LEKOLA CORTEX™ ✓ |
| Basra | Asia | 13.31 | 24 | 2.015× | ◆ .LEKOLA CORTEX™ ✓ |
| Batam | Asia | 12.02 | 14 | 1.699× | ◆ .LEKOLA CORTEX™ ✓ |
| Bathinda | Asia | 7.51 | 7 | 1.136× | ◆ .LEKOLA CORTEX™ ✓ |
| Batumi | Asia | 7.8 | 18 | 1.249× | ◆ .LEKOLA CORTEX™ ✓ |
| Beijing | Asia | 10.11 | 16 | 1.603× | ◆ .LEKOLA CORTEX™ ✓ |
| Beirut | Asia | 11.26 | 14 | 1.732× | ◆ .LEKOLA CORTEX™ ✓ |
| Bekasi | Asia | 13.15 | 19 | 1.864× | ◆ .LEKOLA CORTEX™ ✓ |
| Belgaum | Asia | 8.13 | 15 | 1.171× | ◆ .LEKOLA CORTEX™ ✓ |
| Bellary | Asia | 9.01 | 16 | 1.296× | ◆ .LEKOLA CORTEX™ ✓ |
| Bengaluru | Asia | 8.82 | 20 | 1.262× | ◆ .LEKOLA CORTEX™ ✓ |
| Benxi | Asia | 12.74 | 12 | 2.036× | ◆ .LEKOLA CORTEX™ ✓ |
| Bhagalpur | Asia | 12.07 | 18 | 1.789× | ◆ .LEKOLA CORTEX™ ✓ |
| Bharatpur | Asia | 8.28 | 12 | 1.237× | ◆ .LEKOLA CORTEX™ ✓ |
| Bharuch | Asia | 11.19 | 15 | 1.638× | ◆ .LEKOLA CORTEX™ ✓ |
| Bhatpara | Asia | 9.6 | 9 | 1.411× | ◆ .LEKOLA CORTEX™ ✓ |
| Bhavnagar | Asia | 9.68 | 17 | 1.418× | ◆ .LEKOLA CORTEX™ ✓ |
| Bhilai | Asia | 9.16 | 17 | 1.339× | ◆ .LEKOLA CORTEX™ ✓ |
| Bhilwara | Asia | 7.98 | 11 | 1.183× | ◆ .LEKOLA CORTEX™ ✓ |
| Bhiwandi | Asia | 7.64 | 5 | 1.11× | ◆ .LEKOLA CORTEX™ ✓ |
| Bhopal | Asia | 9.95 | 19 | 1.464× | ◆ .LEKOLA CORTEX™ ✓ |
| Bhubaneswar | Asia | 10.59 | 15 | 1.544× | ◆ .LEKOLA CORTEX™ ✓ |
| Bhusawal | Asia | 11.52 | 8 | 1.683× | ◆ .LEKOLA CORTEX™ ✓ |
| Bien Hoa | Asia | 8.56 | 17 | 1.221× | ◆ .LEKOLA CORTEX™ ✓ |
| Bihar Sharif | Asia | 7.84 | 5 | 1.162× | ◆ .LEKOLA CORTEX™ ✓ |
| Bijapur | Asia | 8.84 | 12 | 1.276× | ◆ .LEKOLA CORTEX™ ✓ |
| Bikaner | Asia | 9.11 | 10 | 1.365× | ◆ .LEKOLA CORTEX™ ✓ |
| Bilaspur | Asia | 8.41 | 15 | 1.233× | ◆ .LEKOLA CORTEX™ ✓ |
| Biratnagar | Asia | 8.7 | 13 | 1.295× | ◆ .LEKOLA CORTEX™ ✓ |
| Bishkek | Asia | 9.72 | 12 | 1.567× | ◆ .LEKOLA CORTEX™ ✓ |
| Bogor | Asia | 10.22 | 22 | 1.449× | ◆ .LEKOLA CORTEX™ ✓ |
| Bogra | Asia | 9.88 | 10 | 1.462× | ◆ .LEKOLA CORTEX™ ✓ |
| Bokaro | Asia | 9.18 | 13 | 1.353× | ◆ .LEKOLA CORTEX™ ✓ |
| Brahmapur | Asia | 7.47 | 6 | 1.086× | ◆ .LEKOLA CORTEX™ ✓ |
| Bucheon | Asia | 7.47 | 11 | 1.17× | ◆ .LEKOLA CORTEX™ ✓ |
| Bukhara | Asia | 9.37 | 13 | 1.485× | ◆ .LEKOLA CORTEX™ ✓ |
| Buon Ma Thuot | Asia | 10.44 | 23 | 1.493× | ◆ .LEKOLA CORTEX™ ✓ |
| Bursa | Asia | 8.45 | 22 | 1.342× | ◆ .LEKOLA CORTEX™ ✓ |
| Busan | Asia | 7.04 | 7 | 1.089× | ◆ .LEKOLA CORTEX™ ✓ |
| Cagayan de Oro | Asia | 7.91 | 11 | 1.124× | ◆ .LEKOLA CORTEX™ ✓ |
| Caloocan | Asia | 11.75 | 21 | 1.688× | ◆ .LEKOLA CORTEX™ ✓ |
| Can Tho | Asia | 30.27 | 29 | 4.311× | ◆ .LEKOLA CORTEX™ ✓ |
| Cangzhou | Asia | 10.75 | 7 | 1.69× | ◆ .LEKOLA CORTEX™ ✓ |
| Cebu City | Asia | 9.64 | 18 | 1.373× | ◆ .LEKOLA CORTEX™ ✓ |
| Chandigarh | Asia | 10.56 | 25 | 1.601× | ◆ .LEKOLA CORTEX™ ✓ |
| Chandrapur | Asia | 9.66 | 14 | 1.407× | ◆ .LEKOLA CORTEX™ ✓ |
| Changchun | Asia | 8.86 | 8 | 1.436× | ◆ .LEKOLA CORTEX™ ✓ |
| Changde | Asia | 15.07 | 9 | 2.267× | ◆ .LEKOLA CORTEX™ ✓ |
| Changsha | Asia | 11.4 | 13 | 1.71× | ◆ .LEKOLA CORTEX™ ✓ |
| Changwon | Asia | 16.18 | 17 | 2.505× | ◆ .LEKOLA CORTEX™ ✓ |
| Changzhou | Asia | 16.71 | 17 | 2.545× | ◆ .LEKOLA CORTEX™ ✓ |
| Chengdu | Asia | 9.11 | 14 | 1.38× | ◆ .LEKOLA CORTEX™ ✓ |
| Chennai | Asia | 8.74 | 17 | 1.251× | ◆ .LEKOLA CORTEX™ ✓ |
| Cheongju | Asia | 8.83 | 10 | 1.377× | ◆ .LEKOLA CORTEX™ ✓ |
| Chiang Mai | Asia | 9.71 | 20 | 1.409× | ◆ .LEKOLA CORTEX™ ✓ |
| Chiang Rai | Asia | 9.19 | 13 | 1.338× | ◆ .LEKOLA CORTEX™ ✓ |
| Chiba | Asia | 8.39 | 16 | 1.301× | ◆ .LEKOLA CORTEX™ ✓ |
| Chittagong | Asia | 10.99 | 13 | 1.613× | ◆ .LEKOLA CORTEX™ ✓ |
| Chon Buri | Asia | 8.24 | 8 | 1.18× | ◆ .LEKOLA CORTEX™ ✓ |
| Chongqing | Asia | 8.81 | 12 | 1.328× | ◆ .LEKOLA CORTEX™ ✓ |
| Cirebon | Asia | 10.55 | 11 | 1.496× | ◆ .LEKOLA CORTEX™ ✓ |
| Coimbatore | Asia | 8.53 | 13 | 1.217× | ◆ .LEKOLA CORTEX™ ✓ |
| Colombo | Asia | 9.98 | 21 | 1.416× | ◆ .LEKOLA CORTEX™ ✓ |
| Comilla | Asia | 20.02 | 22 | 2.949× | ◆ .LEKOLA CORTEX™ ✓ |
| Cuddalore | Asia | 9.02 | 13 | 1.288× | ◆ .LEKOLA CORTEX™ ✓ |
| Cuttack | Asia | 9.43 | 9 | 1.375× | ◆ .LEKOLA CORTEX™ ✓ |
| Da Nang | Asia | 8.87 | 19 | 1.278× | ◆ .LEKOLA CORTEX™ ✓ |
| Daegu | Asia | 14.12 | 11 | 2.193× | ◆ .LEKOLA CORTEX™ ✓ |
| Daejeon | Asia | 8.94 | 9 | 1.392× | ◆ .LEKOLA CORTEX™ ✓ |
| Dalian | Asia | 7.46 | 9 | 1.177× | ◆ .LEKOLA CORTEX™ ✓ |
| Damascus | Asia | 11.56 | 30 | 1.775× | ◆ .LEKOLA CORTEX™ ✓ |
| Dammam | Asia | 22.18 | 17 | 3.302× | ◆ .LEKOLA CORTEX™ ✓ |
| Daqing | Asia | 8.41 | 8 | 1.385× | ◆ .LEKOLA CORTEX™ ✓ |
| Darbhanga | Asia | 10.55 | 18 | 1.569× | ◆ .LEKOLA CORTEX™ ✓ |
| Dasmarinas | Asia | 10.36 | 12 | 1.487× | ◆ .LEKOLA CORTEX™ ✓ |
| Datong | Asia | 9.8 | 12 | 1.556× | ◆ .LEKOLA CORTEX™ ✓ |
| Davanagere | Asia | 9.13 | 14 | 1.311× | ◆ .LEKOLA CORTEX™ ✓ |
| Davangere | Asia | 10.81 | 7 | 1.552× | ◆ .LEKOLA CORTEX™ ✓ |
| Davao City | Asia | 9.96 | 6 | 1.413× | ◆ .LEKOLA CORTEX™ ✓ |
| Dehradun | Asia | 8.93 | 15 | 1.351× | ◆ .LEKOLA CORTEX™ ✓ |
| Delhi | Asia | 10.22 | 17 | 1.536× | ◆ .LEKOLA CORTEX™ ✓ |
| Denizli | Asia | 13.41 | 21 | 2.103× | ◆ .LEKOLA CORTEX™ ✓ |
| Denpasar | Asia | 9.55 | 13 | 1.357× | ◆ .LEKOLA CORTEX™ ✓ |
| Denpasar North | Asia | 12.28 | 14 | 1.745× | ◆ .LEKOLA CORTEX™ ✓ |
| Depok | Asia | 10.8 | 16 | 1.531× | ◆ .LEKOLA CORTEX™ ✓ |
| Dewas | Asia | 10.09 | 13 | 1.484× | ◆ .LEKOLA CORTEX™ ✓ |
| Deyang | Asia | 6.77 | 11 | 1.028× | ◆ .LEKOLA CORTEX™ ✓ |
| Dezhou | Asia | 10.07 | 8 | 1.576× | ◆ .LEKOLA CORTEX™ ✓ |
| Dhaka | Asia | 15.16 | 17 | 2.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Dhanbad | Asia | 9.02 | 12 | 1.33× | ◆ .LEKOLA CORTEX™ ✓ |
| Dhule | Asia | 9.48 | 8 | 1.385× | ◆ .LEKOLA CORTEX™ ✓ |
| Dili | Asia | 10.26 | 14 | 1.458× | ◆ .LEKOLA CORTEX™ ✓ |
| Dindigul | Asia | 8.34 | 10 | 1.188× | ◆ .LEKOLA CORTEX™ ✓ |
| Diyarbakir | Asia | 11.47 | 25 | 1.8× | ◆ .LEKOLA CORTEX™ ✓ |
| Doha | Asia | 18.25 | 21 | 2.706× | ◆ .LEKOLA CORTEX™ ✓ |
| Dongguan | Asia | 10.55 | 16 | 1.551× | ◆ .LEKOLA CORTEX™ ✓ |
| Dubai | Asia | 8.68 | 22 | 1.286× | ◆ .LEKOLA CORTEX™ ✓ |
| Durg | Asia | 8.63 | 13 | 1.262× | ◆ .LEKOLA CORTEX™ ✓ |
| Durgapur | Asia | 7.65 | 14 | 1.127× | ◆ .LEKOLA CORTEX™ ✓ |
| Dushanbe | Asia | 8.06 | 14 | 1.269× | ◆ .LEKOLA CORTEX™ ✓ |
| Eluru | Asia | 9.05 | 12 | 1.306× | ◆ .LEKOLA CORTEX™ ✓ |
| Erbil | Asia | 13.95 | 26 | 2.17× | ◆ .LEKOLA CORTEX™ ✓ |
| Erode | Asia | 7.86 | 8 | 1.122× | ◆ .LEKOLA CORTEX™ ✓ |
| Eskisehir | Asia | 7.76 | 8 | 1.23× | ◆ .LEKOLA CORTEX™ ✓ |
| Etawah | Asia | 8.3 | 7 | 1.238× | ◆ .LEKOLA CORTEX™ ✓ |
| Faisalabad | Asia | 12.47 | 10 | 1.896× | ◆ .LEKOLA CORTEX™ ✓ |
| Faridabad | Asia | 8.78 | 15 | 1.318× | ◆ .LEKOLA CORTEX™ ✓ |
| Farrukhabad | Asia | 15.99 | 12 | 2.39× | ◆ .LEKOLA CORTEX™ ✓ |
| Firozabad | Asia | 8.45 | 14 | 1.262× | ◆ .LEKOLA CORTEX™ ✓ |
| Foshan | Asia | 10.65 | 15 | 1.566× | ◆ .LEKOLA CORTEX™ ✓ |
| Fukuoka | Asia | 7.88 | 18 | 1.21× | ◆ .LEKOLA CORTEX™ ✓ |
| Fushun | Asia | 10.31 | 8 | 1.653× | ◆ .LEKOLA CORTEX™ ✓ |
| Fuzhou | Asia | 9.07 | 18 | 1.349× | ◆ .LEKOLA CORTEX™ ✓ |
| Galle | Asia | 10.01 | 13 | 1.419× | ◆ .LEKOLA CORTEX™ ✓ |
| Gandhinagar | Asia | 10.72 | 17 | 1.578× | ◆ .LEKOLA CORTEX™ ✓ |
| Ganja | Asia | 8.0 | 16 | 1.274× | ◆ .LEKOLA CORTEX™ ✓ |
| Gaya | Asia | 10.0 | 13 | 1.48× | ◆ .LEKOLA CORTEX™ ✓ |
| Gaziantep | Asia | 11.01 | 17 | 1.72× | ◆ .LEKOLA CORTEX™ ✓ |
| Gazipur | Asia | 11.17 | 10 | 1.648× | ◆ .LEKOLA CORTEX™ ✓ |
| General Santos | Asia | 8.23 | 11 | 1.166× | ◆ .LEKOLA CORTEX™ ✓ |
| George Town | Asia | 31.12 | 20 | 4.408× | ◆ .LEKOLA CORTEX™ ✓ |
| Ghaziabad | Asia | 8.68 | 14 | 1.304× | ◆ .LEKOLA CORTEX™ ✓ |
| Gopalpur | Asia | 13.44 | 9 | 1.989× | ◆ .LEKOLA CORTEX™ ✓ |
| Gorakhpur | Asia | 8.14 | 10 | 1.214× | ◆ .LEKOLA CORTEX™ ✓ |
| Goyang | Asia | 10.67 | 13 | 1.672× | ◆ .LEKOLA CORTEX™ ✓ |
| Guangzhou | Asia | 9.21 | 17 | 1.355× | ◆ .LEKOLA CORTEX™ ✓ |
| Guilin | Asia | 10.61 | 11 | 1.573× | ◆ .LEKOLA CORTEX™ ✓ |
| Guiyang | Asia | 8.43 | 7 | 1.256× | ◆ .LEKOLA CORTEX™ ✓ |
| Gujranwala | Asia | 9.24 | 8 | 1.41× | ◆ .LEKOLA CORTEX™ ✓ |
| Gujrat PK | Asia | 9.71 | 8 | 1.484× | ◆ .LEKOLA CORTEX™ ✓ |
| Gulbarga | Asia | 9.85 | 9 | 1.424× | ◆ .LEKOLA CORTEX™ ✓ |
| Guntur | Asia | 10.08 | 18 | 1.453× | ◆ .LEKOLA CORTEX™ ✓ |
| Gurgaon | Asia | 7.16 | 8 | 1.075× | ◆ .LEKOLA CORTEX™ ✓ |
| Guwahati | Asia | 9.2 | 18 | 1.368× | ◆ .LEKOLA CORTEX™ ✓ |
| Gwalior | Asia | 8.81 | 14 | 1.311× | ◆ .LEKOLA CORTEX™ ✓ |
| Gwangju | Asia | 10.04 | 13 | 1.554× | ◆ .LEKOLA CORTEX™ ✓ |
| Haifa | Asia | 11.38 | 18 | 1.741× | ◆ .LEKOLA CORTEX™ ✓ |
| Haikou | Asia | 8.73 | 8 | 1.272× | ◆ .LEKOLA CORTEX™ ✓ |
| Haiphong | Asia | 17.91 | 27 | 2.615× | ◆ .LEKOLA CORTEX™ ✓ |
| Hamadan | Asia | 12.64 | 30 | 1.952× | ◆ .LEKOLA CORTEX™ ✓ |
| Hamamatsu | Asia | 8.09 | 8 | 1.249× | ◆ .LEKOLA CORTEX™ ✓ |
| Handan | Asia | 9.15 | 7 | 1.426× | ◆ .LEKOLA CORTEX™ ✓ |
| Hangzhou | Asia | 9.04 | 11 | 1.367× | ◆ .LEKOLA CORTEX™ ✓ |
| Hanoi | Asia | 12.57 | 31 | 1.837× | ◆ .LEKOLA CORTEX™ ✓ |
| Hapur | Asia | 7.87 | 10 | 1.183× | ◆ .LEKOLA CORTEX™ ✓ |
| Harbin | Asia | 10.93 | 8 | 1.792× | ◆ .LEKOLA CORTEX™ ✓ |
| Hat Yai | Asia | 10.58 | 9 | 1.501× | ◆ .LEKOLA CORTEX™ ✓ |
| Hefei | Asia | 8.85 | 8 | 1.348× | ◆ .LEKOLA CORTEX™ ✓ |
| Hengyang | Asia | 8.69 | 12 | 1.296× | ◆ .LEKOLA CORTEX™ ✓ |
| Herat | Asia | 7.54 | 8 | 1.162× | ◆ .LEKOLA CORTEX™ ✓ |
| Heze | Asia | 9.29 | 7 | 1.438× | ◆ .LEKOLA CORTEX™ ✓ |
| Himeji | Asia | 8.28 | 16 | 1.279× | ◆ .LEKOLA CORTEX™ ✓ |
| Hiroshima | Asia | 8.47 | 17 | 1.306× | ◆ .LEKOLA CORTEX™ ✓ |
| Ho Chi Minh City | Asia | 7.65 | 12 | 1.091× | ◆ .LEKOLA CORTEX™ ✓ |
| Hohhot | Asia | 12.21 | 13 | 1.946× | ◆ .LEKOLA CORTEX™ ✓ |
| Homs | Asia | 8.22 | 13 | 1.269× | ◆ .LEKOLA CORTEX™ ✓ |
| Hong Kong | Asia | 10.36 | 12 | 1.52× | ◆ .LEKOLA CORTEX™ ✓ |
| Hospet | Asia | 10.3 | 10 | 1.482× | ◆ .LEKOLA CORTEX™ ✓ |
| Hosur | Asia | 9.85 | 10 | 1.409× | ◆ .LEKOLA CORTEX™ ✓ |
| Howrah | Asia | 11.51 | 9 | 1.69× | ◆ .LEKOLA CORTEX™ ✓ |
| Huangshi | Asia | 14.49 | 10 | 2.191× | ◆ .LEKOLA CORTEX™ ✓ |
| Hubli | Asia | 19.34 | 16 | 2.782× | ◆ .LEKOLA CORTEX™ ✓ |
| Hue | Asia | 9.69 | 18 | 1.398× | ◆ .LEKOLA CORTEX™ ✓ |
| Huizhou | Asia | 11.08 | 16 | 1.63× | ◆ .LEKOLA CORTEX™ ✓ |
| Hyderabad | Asia | 9.08 | 25 | 1.313× | ◆ .LEKOLA CORTEX™ ✓ |
| Hyderabad Sindh | Asia | 7.99 | 9 | 1.185× | ◆ .LEKOLA CORTEX™ ✓ |
| Ichalkaranji | Asia | 9.01 | 14 | 1.3× | ◆ .LEKOLA CORTEX™ ✓ |
| Iloilo | Asia | 10.05 | 11 | 1.433× | ◆ .LEKOLA CORTEX™ ✓ |
| Imphal | Asia | 9.27 | 13 | 1.372× | ◆ .LEKOLA CORTEX™ ✓ |
| Incheon | Asia | 8.38 | 9 | 1.312× | ◆ .LEKOLA CORTEX™ ✓ |
| Indore | Asia | 8.86 | 24 | 1.302× | ◆ .LEKOLA CORTEX™ ✓ |
| Ipoh | Asia | 9.98 | 22 | 1.413× | ◆ .LEKOLA CORTEX™ ✓ |
| Irkutsk | Asia | 9.38 | 10 | 1.599× | ◆ .LEKOLA CORTEX™ ✓ |
| Isfahan | Asia | 8.41 | 21 | 1.286× | ◆ .LEKOLA CORTEX™ ✓ |
| Islamabad | Asia | 9.36 | 6 | 1.438× | ◆ .LEKOLA CORTEX™ ✓ |
| Istanbul | Asia | 8.28 | 20 | 1.321× | ◆ .LEKOLA CORTEX™ ✓ |
| Izmir | Asia | 7.8 | 18 | 1.227× | ◆ .LEKOLA CORTEX™ ✓ |
| Jabalpur | Asia | 11.12 | 7 | 1.636× | ◆ .LEKOLA CORTEX™ ✓ |
| Jaipur | Asia | 16.28 | 12 | 2.429× | ◆ .LEKOLA CORTEX™ ✓ |
| Jakarta | Asia | 10.9 | 26 | 1.545× | ◆ .LEKOLA CORTEX™ ✓ |
| Jalandhar | Asia | 8.13 | 21 | 1.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Jalgaon | Asia | 8.47 | 8 | 1.237× | ◆ .LEKOLA CORTEX™ ✓ |
| Jalna | Asia | 9.16 | 16 | 1.334× | ◆ .LEKOLA CORTEX™ ✓ |
| Jambi | Asia | 9.11 | 12 | 1.288× | ◆ .LEKOLA CORTEX™ ✓ |
| Jammu | Asia | 8.26 | 17 | 1.263× | ◆ .LEKOLA CORTEX™ ✓ |
| Jamnagar | Asia | 9.45 | 10 | 1.387× | ◆ .LEKOLA CORTEX™ ✓ |
| Jamshedpur | Asia | 8.86 | 18 | 1.302× | ◆ .LEKOLA CORTEX™ ✓ |
| Jeddah | Asia | 11.14 | 14 | 1.63× | ◆ .LEKOLA CORTEX™ ✓ |
| Jeonju | Asia | 8.08 | 22 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Jerusalem | Asia | 8.43 | 26 | 1.284× | ◆ .LEKOLA CORTEX™ ✓ |
| Jhansi | Asia | 12.59 | 14 | 1.868× | ◆ .LEKOLA CORTEX™ ✓ |
| Jiamusi | Asia | 20.38 | 18 | 3.361× | ◆ .LEKOLA CORTEX™ ✓ |
| Jiangmen | Asia | 11.84 | 10 | 1.739× | ◆ .LEKOLA CORTEX™ ✓ |
| Jilin | Asia | 9.81 | 10 | 1.59× | ◆ .LEKOLA CORTEX™ ✓ |
| Jinan | Asia | 8.34 | 11 | 1.3× | ◆ .LEKOLA CORTEX™ ✓ |
| Jingzhou | Asia | 9.38 | 5 | 1.419× | ◆ .LEKOLA CORTEX™ ✓ |
| Jining | Asia | 8.51 | 7 | 1.318× | ◆ .LEKOLA CORTEX™ ✓ |
| Jinzhou | Asia | 8.79 | 19 | 1.403× | ◆ .LEKOLA CORTEX™ ✓ |
| Jodhpur | Asia | 14.23 | 21 | 2.117× | ◆ .LEKOLA CORTEX™ ✓ |
| Johor Bahru | Asia | 9.04 | 21 | 1.278× | ◆ .LEKOLA CORTEX™ ✓ |
| Junagadh | Asia | 10.22 | 10 | 1.496× | ◆ .LEKOLA CORTEX™ ✓ |
| Kabul | Asia | 15.23 | 20 | 2.35× | ◆ .LEKOLA CORTEX™ ✓ |
| Kadapa | Asia | 12.83 | 19 | 1.842× | ◆ .LEKOLA CORTEX™ ✓ |
| Kagoshima | Asia | 11.6 | 18 | 1.765× | ◆ .LEKOLA CORTEX™ ✓ |
| Kaifeng | Asia | 10.04 | 12 | 1.551× | ◆ .LEKOLA CORTEX™ ✓ |
| Kalyan | Asia | 10.84 | 19 | 1.575× | ◆ .LEKOLA CORTEX™ ✓ |
| Kamarhati | Asia | 11.8 | 15 | 1.733× | ◆ .LEKOLA CORTEX™ ✓ |
| Kanazawa | Asia | 10.92 | 22 | 1.702× | ◆ .LEKOLA CORTEX™ ✓ |
| Kanchipuram | Asia | 11.97 | 15 | 1.713× | ◆ .LEKOLA CORTEX™ ✓ |
| Kandahar | Asia | 10.12 | 40 | 1.54× | ◆ .LEKOLA CORTEX™ ✓ |
| Kandy | Asia | 10.95 | 19 | 1.554× | ◆ .LEKOLA CORTEX™ ✓ |
| Kanpur | Asia | 13.18 | 13 | 1.963× | ◆ .LEKOLA CORTEX™ ✓ |
| Kaohsiung | Asia | 9.5 | 17 | 1.395× | ◆ .LEKOLA CORTEX™ ✓ |
| Karachi | Asia | 7.72 | 10 | 1.143× | ◆ .LEKOLA CORTEX™ ✓ |
| Karaikudi | Asia | 10.58 | 11 | 1.507× | ◆ .LEKOLA CORTEX™ ✓ |
| Karaj | Asia | 12.94 | 15 | 2.009× | ◆ .LEKOLA CORTEX™ ✓ |
| Karimnagar | Asia | 10.1 | 15 | 1.464× | ◆ .LEKOLA CORTEX™ ✓ |
| Karnal | Asia | 9.13 | 14 | 1.378× | ◆ .LEKOLA CORTEX™ ✓ |
| Kathmandu | Asia | 8.4 | 20 | 1.257× | ◆ .LEKOLA CORTEX™ ✓ |
| Kawasaki | Asia | 8.51 | 11 | 1.319× | ◆ .LEKOLA CORTEX™ ✓ |
| Kayseri | Asia | 9.93 | 22 | 1.565× | ◆ .LEKOLA CORTEX™ ✓ |
| Kemerovo | Asia | 20.14 | 18 | 3.499× | ◆ .LEKOLA CORTEX™ ✓ |
| Kermanshah | Asia | 7.55 | 18 | 1.163× | ◆ .LEKOLA CORTEX™ ✓ |
| Khabarovsk | Asia | 9.91 | 13 | 1.651× | ◆ .LEKOLA CORTEX™ ✓ |
| Khammam | Asia | 7.22 | 9 | 1.044× | ◆ .LEKOLA CORTEX™ ✓ |
| Khon Kaen | Asia | 8.43 | 8 | 1.216× | ◆ .LEKOLA CORTEX™ ✓ |
| Khulna | Asia | 14.18 | 11 | 2.084× | ◆ .LEKOLA CORTEX™ ✓ |
| Kirari Suleman Nagar | Asia | 8.01 | 10 | 1.204× | ◆ .LEKOLA CORTEX™ ✓ |
| Kitakyushu | Asia | 30.95 | 22 | 4.76× | ◆ .LEKOLA CORTEX™ ✓ |
| Kobe | Asia | 8.22 | 15 | 1.269× | ◆ .LEKOLA CORTEX™ ✓ |
| Kochi | Asia | 10.79 | 13 | 1.536× | ◆ .LEKOLA CORTEX™ ✓ |
| Kolhapur | Asia | 9.17 | 8 | 1.324× | ◆ .LEKOLA CORTEX™ ✓ |
| Kolkata | Asia | 8.65 | 18 | 1.27× | ◆ .LEKOLA CORTEX™ ✓ |
| Kollam | Asia | 8.2 | 10 | 1.166× | ◆ .LEKOLA CORTEX™ ✓ |
| Konya | Asia | 7.55 | 12 | 1.184× | ◆ .LEKOLA CORTEX™ ✓ |
| Korba | Asia | 13.36 | 11 | 1.96× | ◆ .LEKOLA CORTEX™ ✓ |
| Kota | Asia | 7.0 | 5 | 1.037× | ◆ .LEKOLA CORTEX™ ✓ |
| Kota Kinabalu | Asia | 11.82 | 19 | 1.675× | ◆ .LEKOLA CORTEX™ ✓ |
| Kozhikode | Asia | 11.27 | 17 | 1.608× | ◆ .LEKOLA CORTEX™ ✓ |
| Kozhikode North | Asia | 8.71 | 12 | 1.243× | ◆ .LEKOLA CORTEX™ ✓ |
| Krabi | Asia | 10.01 | 8 | 1.422× | ◆ .LEKOLA CORTEX™ ✓ |
| Krasnoyarsk | Asia | 8.27 | 18 | 1.443× | ◆ .LEKOLA CORTEX™ ✓ |
| Kuala Lumpur | Asia | 10.18 | 17 | 1.44× | ◆ .LEKOLA CORTEX™ ✓ |
| Kuching | Asia | 11.69 | 22 | 1.652× | ◆ .LEKOLA CORTEX™ ✓ |
| Kulti | Asia | 14.75 | 10 | 2.174× | ◆ .LEKOLA CORTEX™ ✓ |
| Kumamoto | Asia | 9.64 | 14 | 1.475× | ◆ .LEKOLA CORTEX™ ✓ |
| Kunming | Asia | 10.01 | 7 | 1.483× | ◆ .LEKOLA CORTEX™ ✓ |
| Kupang | Asia | 11.12 | 17 | 1.584× | ◆ .LEKOLA CORTEX™ ✓ |
| Kurnool | Asia | 16.79 | 8 | 2.418× | ◆ .LEKOLA CORTEX™ ✓ |
| Kurnool South | Asia | 23.84 | 16 | 3.433× | ◆ .LEKOLA CORTEX™ ✓ |
| Kuwait City | Asia | 8.3 | 16 | 1.25× | ◆ .LEKOLA CORTEX™ ✓ |
| Kyoto | Asia | 16.5 | 15 | 2.551× | ◆ .LEKOLA CORTEX™ ✓ |
| Lahore | Asia | 10.08 | 17 | 1.533× | ◆ .LEKOLA CORTEX™ ✓ |
| Lampang | Asia | 10.09 | 9 | 1.462× | ◆ .LEKOLA CORTEX™ ✓ |
| Lanzhou | Asia | 9.3 | 11 | 1.446× | ◆ .LEKOLA CORTEX™ ✓ |
| Larkana | Asia | 8.06 | 7 | 1.205× | ◆ .LEKOLA CORTEX™ ✓ |
| Latur | Asia | 8.47 | 13 | 1.228× | ◆ .LEKOLA CORTEX™ ✓ |
| Lhasa | Asia | 10.69 | 8 | 1.613× | ◆ .LEKOLA CORTEX™ ✓ |
| Liaocheng | Asia | 9.03 | 10 | 1.406× | ◆ .LEKOLA CORTEX™ ✓ |
| Linyi | Asia | 10.13 | 8 | 1.567× | ◆ .LEKOLA CORTEX™ ✓ |
| Liuzhou | Asia | 9.49 | 11 | 1.402× | ◆ .LEKOLA CORTEX™ ✓ |
| Loni | Asia | 8.63 | 11 | 1.297× | ◆ .LEKOLA CORTEX™ ✓ |
| Lucknow | Asia | 8.53 | 20 | 1.272× | ◆ .LEKOLA CORTEX™ ✓ |
| Ludhiana | Asia | 10.63 | 18 | 1.612× | ◆ .LEKOLA CORTEX™ ✓ |
| Luoyang | Asia | 10.0 | 6 | 1.543× | ◆ .LEKOLA CORTEX™ ✓ |
| Luzhou | Asia | 9.2 | 14 | 1.383× | ◆ .LEKOLA CORTEX™ ✓ |
| Macau | Asia | 11.38 | 26 | 1.669× | ◆ .LEKOLA CORTEX™ ✓ |
| Madurai | Asia | 8.33 | 19 | 1.186× | ◆ .LEKOLA CORTEX™ ✓ |
| Maheshtala | Asia | 17.29 | 18 | 2.538× | ◆ .LEKOLA CORTEX™ ✓ |
| Makassar | Asia | 13.64 | 13 | 1.931× | ◆ .LEKOLA CORTEX™ ✓ |
| Malang | Asia | 9.72 | 19 | 1.38× | ◆ .LEKOLA CORTEX™ ✓ |
| Malatya | Asia | 7.22 | 15 | 1.136× | ◆ .LEKOLA CORTEX™ ✓ |
| Male | Asia | 9.38 | 16 | 1.327× | ◆ .LEKOLA CORTEX™ ✓ |
| Malegaon | Asia | 8.57 | 10 | 1.25× | ◆ .LEKOLA CORTEX™ ✓ |
| Manado | Asia | 10.59 | 16 | 1.497× | ◆ .LEKOLA CORTEX™ ✓ |
| Manama | Asia | 10.72 | 22 | 1.595× | ◆ .LEKOLA CORTEX™ ✓ |
| Mandalay | Asia | 10.31 | 17 | 1.511× | ◆ .LEKOLA CORTEX™ ✓ |
| Mangalore | Asia | 10.49 | 10 | 1.501× | ◆ .LEKOLA CORTEX™ ✓ |
| Mangaluru | Asia | 14.75 | 9 | 2.111× | ◆ .LEKOLA CORTEX™ ✓ |
| Manila | Asia | 7.75 | 11 | 1.113× | ◆ .LEKOLA CORTEX™ ✓ |
| Mardan | Asia | 14.31 | 11 | 2.204× | ◆ .LEKOLA CORTEX™ ✓ |
| Mashhad | Asia | 8.65 | 19 | 1.346× | ◆ .LEKOLA CORTEX™ ✓ |
| Mataram | Asia | 10.81 | 11 | 1.536× | ◆ .LEKOLA CORTEX™ ✓ |
| Mathura | Asia | 10.25 | 14 | 1.533× | ◆ .LEKOLA CORTEX™ ✓ |
| Mau | Asia | 9.3 | 14 | 1.382× | ◆ .LEKOLA CORTEX™ ✓ |
| Mecca | Asia | 7.63 | 11 | 1.116× | ◆ .LEKOLA CORTEX™ ✓ |
| Medan | Asia | 11.49 | 12 | 1.625× | ◆ .LEKOLA CORTEX™ ✓ |
| Medina | Asia | 11.52 | 8 | 1.703× | ◆ .LEKOLA CORTEX™ ✓ |
| Meerut | Asia | 8.09 | 11 | 1.217× | ◆ .LEKOLA CORTEX™ ✓ |
| Mersin | Asia | 8.34 | 14 | 1.301× | ◆ .LEKOLA CORTEX™ ✓ |
| Mianyang | Asia | 11.67 | 8 | 1.775× | ◆ .LEKOLA CORTEX™ ✓ |
| Mira-Bhayandar | Asia | 21.18 | 22 | 3.078× | ◆ .LEKOLA CORTEX™ ✓ |
| Moradabad | Asia | 10.78 | 12 | 1.621× | ◆ .LEKOLA CORTEX™ ✓ |
| Morbi | Asia | 7.83 | 13 | 1.151× | ◆ .LEKOLA CORTEX™ ✓ |
| Mosul | Asia | 9.79 | 12 | 1.524× | ◆ .LEKOLA CORTEX™ ✓ |
| Mudanjiang | Asia | 9.18 | 10 | 1.495× | ◆ .LEKOLA CORTEX™ ✓ |
| Multan | Asia | 10.72 | 15 | 1.621× | ◆ .LEKOLA CORTEX™ ✓ |
| Mumbai | Asia | 8.45 | 6 | 1.227× | ◆ .LEKOLA CORTEX™ ✓ |
| Muscat | Asia | 9.29 | 9 | 1.369× | ◆ .LEKOLA CORTEX™ ✓ |
| Muzaffarnagar | Asia | 11.7 | 8 | 1.764× | ◆ .LEKOLA CORTEX™ ✓ |
| Muzaffarpur | Asia | 15.34 | 14 | 2.281× | ◆ .LEKOLA CORTEX™ ✓ |
| Mymensingh | Asia | 9.44 | 11 | 1.397× | ◆ .LEKOLA CORTEX™ ✓ |
| Mysore | Asia | 9.88 | 27 | 1.412× | ◆ .LEKOLA CORTEX™ ✓ |
| Nadiad | Asia | 7.52 | 11 | 1.105× | ◆ .LEKOLA CORTEX™ ✓ |
| Nagercoil | Asia | 11.94 | 17 | 1.696× | ◆ .LEKOLA CORTEX™ ✓ |
| Nagoya | Asia | 8.34 | 13 | 1.291× | ◆ .LEKOLA CORTEX™ ✓ |
| Nagpur | Asia | 9.78 | 12 | 1.429× | ◆ .LEKOLA CORTEX™ ✓ |
| Najaf | Asia | 11.74 | 18 | 1.79× | ◆ .LEKOLA CORTEX™ ✓ |
| Nakhon Ratchasima | Asia | 8.39 | 9 | 1.206× | ◆ .LEKOLA CORTEX™ ✓ |
| Nakhon Sawan | Asia | 10.32 | 15 | 1.486× | ◆ .LEKOLA CORTEX™ ✓ |
| Nakhon Si Thammarat | Asia | 11.18 | 10 | 1.589× | ◆ .LEKOLA CORTEX™ ✓ |
| Nanchang | Asia | 10.59 | 16 | 1.591× | ◆ .LEKOLA CORTEX™ ✓ |
| Nanchong | Asia | 11.43 | 11 | 1.733× | ◆ .LEKOLA CORTEX™ ✓ |
| Nanded | Asia | 11.84 | 14 | 1.72× | ◆ .LEKOLA CORTEX™ ✓ |
| Nanjing | Asia | 7.76 | 8 | 1.183× | ◆ .LEKOLA CORTEX™ ✓ |
| Nanning | Asia | 10.04 | 15 | 1.475× | ◆ .LEKOLA CORTEX™ ✓ |
| Nanyang | Asia | 10.06 | 8 | 1.541× | ◆ .LEKOLA CORTEX™ ✓ |
| Narayanganj | Asia | 18.16 | 13 | 2.676× | ◆ .LEKOLA CORTEX™ ✓ |
| Nashik | Asia | 8.36 | 10 | 1.218× | ◆ .LEKOLA CORTEX™ ✓ |
| Navi Mumbai | Asia | 10.31 | 13 | 1.497× | ◆ .LEKOLA CORTEX™ ✓ |
| Naypyidaw | Asia | 9.88 | 12 | 1.438× | ◆ .LEKOLA CORTEX™ ✓ |
| Nellore | Asia | 9.63 | 8 | 1.383× | ◆ .LEKOLA CORTEX™ ✓ |
| Nha Trang | Asia | 11.31 | 16 | 1.617× | ◆ .LEKOLA CORTEX™ ✓ |
| Niigata | Asia | 8.01 | 15 | 1.257× | ◆ .LEKOLA CORTEX™ ✓ |
| Ningbo | Asia | 10.95 | 14 | 1.653× | ◆ .LEKOLA CORTEX™ ✓ |
| Nizamabad | Asia | 9.52 | 10 | 1.381× | ◆ .LEKOLA CORTEX™ ✓ |
| Noida | Asia | 9.65 | 15 | 1.449× | ◆ .LEKOLA CORTEX™ ✓ |
| Nonthaburi | Asia | 10.66 | 15 | 1.529× | ◆ .LEKOLA CORTEX™ ✓ |
| Novokuznetsk | Asia | 7.29 | 19 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Novosibirsk | Asia | 8.17 | 11 | 1.417× | ◆ .LEKOLA CORTEX™ ✓ |
| Nur-Sultan | Asia | 8.47 | 8 | 1.434× | ◆ .LEKOLA CORTEX™ ✓ |
| Okayama | Asia | 8.09 | 17 | 1.249× | ◆ .LEKOLA CORTEX™ ✓ |
| Osaka | Asia | 9.34 | 18 | 1.442× | ◆ .LEKOLA CORTEX™ ✓ |
| Ozhukarai | Asia | 11.64 | 12 | 1.663× | ◆ .LEKOLA CORTEX™ ✓ |
| Padang | Asia | 8.7 | 10 | 1.23× | ◆ .LEKOLA CORTEX™ ✓ |
| Palembang | Asia | 11.41 | 14 | 1.613× | ◆ .LEKOLA CORTEX™ ✓ |
| Pali | Asia | 8.15 | 14 | 1.21× | ◆ .LEKOLA CORTEX™ ✓ |
| Panihati | Asia | 12.67 | 14 | 1.861× | ◆ .LEKOLA CORTEX™ ✓ |
| Panipat | Asia | 8.64 | 10 | 1.302× | ◆ .LEKOLA CORTEX™ ✓ |
| Parbhani | Asia | 7.6 | 9 | 1.105× | ◆ .LEKOLA CORTEX™ ✓ |
| Pasig | Asia | 12.42 | 15 | 1.784× | ◆ .LEKOLA CORTEX™ ✓ |
| Patiala | Asia | 10.17 | 15 | 1.539× | ◆ .LEKOLA CORTEX™ ✓ |
| Patna | Asia | 9.55 | 21 | 1.417× | ◆ .LEKOLA CORTEX™ ✓ |
| Pattaya | Asia | 11.11 | 15 | 1.59× | ◆ .LEKOLA CORTEX™ ✓ |
| Pekalongan | Asia | 13.38 | 18 | 1.898× | ◆ .LEKOLA CORTEX™ ✓ |
| Pekanbaru | Asia | 10.14 | 16 | 1.433× | ◆ .LEKOLA CORTEX™ ✓ |
| Peshawar | Asia | 10.37 | 14 | 1.596× | ◆ .LEKOLA CORTEX™ ✓ |
| Phitsanulok | Asia | 9.96 | 12 | 1.438× | ◆ .LEKOLA CORTEX™ ✓ |
| Phnom Penh | Asia | 12.47 | 24 | 1.78× | ◆ .LEKOLA CORTEX™ ✓ |
| Phuket | Asia | 8.0 | 11 | 1.136× | ◆ .LEKOLA CORTEX™ ✓ |
| Pingdingshan | Asia | 9.78 | 14 | 1.503× | ◆ .LEKOLA CORTEX™ ✓ |
| Pokhara | Asia | 11.41 | 18 | 1.711× | ◆ .LEKOLA CORTEX™ ✓ |
| Pontianak | Asia | 10.7 | 11 | 1.512× | ◆ .LEKOLA CORTEX™ ✓ |
| Porbandar | Asia | 8.47 | 13 | 1.24× | ◆ .LEKOLA CORTEX™ ✓ |
| Pune | Asia | 9.17 | 17 | 1.33× | ◆ .LEKOLA CORTEX™ ✓ |
| Purnia | Asia | 8.06 | 9 | 1.197× | ◆ .LEKOLA CORTEX™ ✓ |
| Qingdao | Asia | 8.75 | 11 | 1.36× | ◆ .LEKOLA CORTEX™ ✓ |
| Qinhuangdao | Asia | 9.58 | 7 | 1.52× | ◆ .LEKOLA CORTEX™ ✓ |
| Qiqihar | Asia | 7.47 | 12 | 1.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Qom | Asia | 8.64 | 17 | 1.334× | ◆ .LEKOLA CORTEX™ ✓ |
| Quetta | Asia | 9.19 | 24 | 1.39× | ◆ .LEKOLA CORTEX™ ✓ |
| Quezon City | Asia | 11.06 | 15 | 1.589× | ◆ .LEKOLA CORTEX™ ✓ |
| Raipur | Asia | 10.06 | 15 | 1.471× | ◆ .LEKOLA CORTEX™ ✓ |
| Rajahmundry | Asia | 9.87 | 9 | 1.426× | ◆ .LEKOLA CORTEX™ ✓ |
| Rajkot | Asia | 9.41 | 18 | 1.381× | ◆ .LEKOLA CORTEX™ ✓ |
| Rajpur Sonarpur | Asia | 8.67 | 15 | 1.273× | ◆ .LEKOLA CORTEX™ ✓ |
| Rajshahi | Asia | 10.86 | 11 | 1.605× | ◆ .LEKOLA CORTEX™ ✓ |
| Rampur | Asia | 8.63 | 13 | 1.297× | ◆ .LEKOLA CORTEX™ ✓ |
| Ranchi | Asia | 11.13 | 25 | 1.639× | ◆ .LEKOLA CORTEX™ ✓ |
| Rangpur | Asia | 9.83 | 10 | 1.46× | ◆ .LEKOLA CORTEX™ ✓ |
| Rasht | Asia | 9.39 | 19 | 1.469× | ◆ .LEKOLA CORTEX™ ✓ |
| Ratlam | Asia | 9.93 | 17 | 1.462× | ◆ .LEKOLA CORTEX™ ✓ |
| Rawalpindi | Asia | 7.88 | 18 | 1.21× | ◆ .LEKOLA CORTEX™ ✓ |
| Rayong | Asia | 13.69 | 7 | 1.958× | ◆ .LEKOLA CORTEX™ ✓ |
| Riyadh | Asia | 8.9 | 15 | 1.317× | ◆ .LEKOLA CORTEX™ ✓ |
| Rizhao | Asia | 8.65 | 9 | 1.34× | ◆ .LEKOLA CORTEX™ ✓ |
| Rohtak | Asia | 8.65 | 8 | 1.301× | ◆ .LEKOLA CORTEX™ ✓ |
| Rourkela | Asia | 35.82 | 26 | 5.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Sagamihara | Asia | 8.53 | 13 | 1.323× | ◆ .LEKOLA CORTEX™ ✓ |
| Sagar | Asia | 8.03 | 15 | 1.184× | ◆ .LEKOLA CORTEX™ ✓ |
| Saharanpur | Asia | 8.45 | 7 | 1.277× | ◆ .LEKOLA CORTEX™ ✓ |
| Saitama | Asia | 9.2 | 12 | 1.429× | ◆ .LEKOLA CORTEX™ ✓ |
| Sakai | Asia | 8.01 | 7 | 1.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Salalah | Asia | 13.16 | 14 | 1.901× | ◆ .LEKOLA CORTEX™ ✓ |
| Salem | Asia | 9.86 | 20 | 1.408× | ◆ .LEKOLA CORTEX™ ✓ |
| Samarinda | Asia | 10.84 | 20 | 1.532× | ◆ .LEKOLA CORTEX™ ✓ |
| Samarkand | Asia | 7.8 | 12 | 1.235× | ◆ .LEKOLA CORTEX™ ✓ |
| Sambalpur | Asia | 13.05 | 13 | 1.909× | ◆ .LEKOLA CORTEX™ ✓ |
| Sambhal | Asia | 7.9 | 7 | 1.186× | ◆ .LEKOLA CORTEX™ ✓ |
| Samsun | Asia | 9.43 | 11 | 1.507× | ◆ .LEKOLA CORTEX™ ✓ |
| Sanaa | Asia | 8.68 | 7 | 1.249× | ◆ .LEKOLA CORTEX™ ✓ |
| Sangli-Miraj | Asia | 11.95 | 11 | 1.725× | ◆ .LEKOLA CORTEX™ ✓ |
| Sanliurfa | Asia | 10.19 | 11 | 1.593× | ◆ .LEKOLA CORTEX™ ✓ |
| Sapporo | Asia | 9.94 | 9 | 1.604× | ◆ .LEKOLA CORTEX™ ✓ |
| Sargodha | Asia | 7.15 | 10 | 1.09× | ◆ .LEKOLA CORTEX™ ✓ |
| Satara | Asia | 8.57 | 15 | 1.24× | ◆ .LEKOLA CORTEX™ ✓ |
| Satna | Asia | 9.36 | 7 | 1.384× | ◆ .LEKOLA CORTEX™ ✓ |
| Semarang | Asia | 10.0 | 21 | 1.418× | ◆ .LEKOLA CORTEX™ ✓ |
| Sendai | Asia | 10.0 | 11 | 1.572× | ◆ .LEKOLA CORTEX™ ✓ |
| Seongnam | Asia | 8.05 | 11 | 1.26× | ◆ .LEKOLA CORTEX™ ✓ |
| Seoul | Asia | 8.49 | 13 | 1.33× | ◆ .LEKOLA CORTEX™ ✓ |
| Shah Alam | Asia | 15.02 | 14 | 2.124× | ◆ .LEKOLA CORTEX™ ✓ |
| Shahjahanpur | Asia | 9.21 | 11 | 1.379× | ◆ .LEKOLA CORTEX™ ✓ |
| Shanghai | Asia | 8.72 | 14 | 1.325× | ◆ .LEKOLA CORTEX™ ✓ |
| Shangqiu | Asia | 9.4 | 9 | 1.449× | ◆ .LEKOLA CORTEX™ ✓ |
| Sharjah | Asia | 9.74 | 15 | 1.444× | ◆ .LEKOLA CORTEX™ ✓ |
| Sheikhupura | Asia | 11.41 | 11 | 1.737× | ◆ .LEKOLA CORTEX™ ✓ |
| Shenyang | Asia | 7.73 | 11 | 1.239× | ◆ .LEKOLA CORTEX™ ✓ |
| Shenzhen | Asia | 12.16 | 12 | 1.785× | ◆ .LEKOLA CORTEX™ ✓ |
| Shijiazhuang | Asia | 9.38 | 8 | 1.473× | ◆ .LEKOLA CORTEX™ ✓ |
| Shiraz | Asia | 15.55 | 19 | 2.345× | ◆ .LEKOLA CORTEX™ ✓ |
| Shivamogga | Asia | 9.72 | 16 | 1.394× | ◆ .LEKOLA CORTEX™ ✓ |
| Shizuoka | Asia | 8.87 | 6 | 1.371× | ◆ .LEKOLA CORTEX™ ✓ |
| Shymkent | Asia | 7.87 | 14 | 1.265× | ◆ .LEKOLA CORTEX™ ✓ |
| Sialkot | Asia | 7.92 | 10 | 1.21× | ◆ .LEKOLA CORTEX™ ✓ |
| Siem Reap | Asia | 9.72 | 13 | 1.392× | ◆ .LEKOLA CORTEX™ ✓ |
| Sikar | Asia | 8.98 | 15 | 1.343× | ◆ .LEKOLA CORTEX™ ✓ |
| Siliguri | Asia | 8.76 | 14 | 1.306× | ◆ .LEKOLA CORTEX™ ✓ |
| Singapore | Asia | 9.54 | 9 | 1.348× | ◆ .LEKOLA CORTEX™ ✓ |
| Singrauli | Asia | 8.7 | 11 | 1.285× | ◆ .LEKOLA CORTEX™ ✓ |
| Solapur | Asia | 8.37 | 10 | 1.211× | ◆ .LEKOLA CORTEX™ ✓ |
| Songkhla | Asia | 8.53 | 16 | 1.21× | ◆ .LEKOLA CORTEX™ ✓ |
| Sonipat | Asia | 7.53 | 12 | 1.133× | ◆ .LEKOLA CORTEX™ ✓ |
| South Dumdum | Asia | 7.96 | 6 | 1.169× | ◆ .LEKOLA CORTEX™ ✓ |
| South Tangerang | Asia | 10.98 | 26 | 1.556× | ◆ .LEKOLA CORTEX™ ✓ |
| Srinagar | Asia | 9.04 | 20 | 1.392× | ◆ .LEKOLA CORTEX™ ✓ |
| Sukkur | Asia | 34.72 | 26 | 5.196× | ◆ .LEKOLA CORTEX™ ✓ |
| Surabaya | Asia | 8.62 | 12 | 1.223× | ◆ .LEKOLA CORTEX™ ✓ |
| Surakarta | Asia | 9.27 | 19 | 1.316× | ◆ .LEKOLA CORTEX™ ✓ |
| Surat | Asia | 10.29 | 27 | 1.504× | ◆ .LEKOLA CORTEX™ ✓ |
| Surat Thani | Asia | 7.66 | 6 | 1.089× | ◆ .LEKOLA CORTEX™ ✓ |
| Surendranagar | Asia | 8.68 | 12 | 1.275× | ◆ .LEKOLA CORTEX™ ✓ |
| Suwon | Asia | 9.88 | 15 | 1.545× | ◆ .LEKOLA CORTEX™ ✓ |
| Suzhou | Asia | 10.81 | 17 | 1.643× | ◆ .LEKOLA CORTEX™ ✓ |
| Sylhet | Asia | 9.86 | 9 | 1.46× | ◆ .LEKOLA CORTEX™ ✓ |
| Tabriz | Asia | 13.67 | 12 | 2.147× | ◆ .LEKOLA CORTEX™ ✓ |
| Tai'an | Asia | 15.71 | 9 | 2.444× | ◆ .LEKOLA CORTEX™ ✓ |
| Taichung | Asia | 8.23 | 9 | 1.215× | ◆ .LEKOLA CORTEX™ ✓ |
| Taif | Asia | 29.69 | 10 | 4.341× | ◆ .LEKOLA CORTEX™ ✓ |
| Tainan | Asia | 9.62 | 10 | 1.415× | ◆ .LEKOLA CORTEX™ ✓ |
| Taipei | Asia | 9.62 | 14 | 1.425× | ◆ .LEKOLA CORTEX™ ✓ |
| Taiyuan | Asia | 12.37 | 16 | 1.941× | ◆ .LEKOLA CORTEX™ ✓ |
| Tangerang | Asia | 11.76 | 29 | 1.667× | ◆ .LEKOLA CORTEX™ ✓ |
| Tangshan | Asia | 12.52 | 11 | 1.983× | ◆ .LEKOLA CORTEX™ ✓ |
| Tashkent | Asia | 9.18 | 16 | 1.467× | ◆ .LEKOLA CORTEX™ ✓ |
| Tbilisi | Asia | 18.52 | 27 | 2.966× | ◆ .LEKOLA CORTEX™ ✓ |
| Tegal | Asia | 15.57 | 13 | 2.208× | ◆ .LEKOLA CORTEX™ ✓ |
| Tehran | Asia | 10.19 | 24 | 1.581× | ◆ .LEKOLA CORTEX™ ✓ |
| Tel Aviv | Asia | 10.52 | 19 | 1.604× | ◆ .LEKOLA CORTEX™ ✓ |
| Thane | Asia | 12.04 | 10 | 1.75× | ◆ .LEKOLA CORTEX™ ✓ |
| Thanjavur | Asia | 10.13 | 13 | 1.444× | ◆ .LEKOLA CORTEX™ ✓ |
| Thimphu | Asia | 28.93 | 23 | 4.325× | ◆ .LEKOLA CORTEX™ ✓ |
| Thiruvananthapuram | Asia | 9.4 | 17 | 1.336× | ◆ .LEKOLA CORTEX™ ✓ |
| Thrissur | Asia | 9.64 | 18 | 1.374× | ◆ .LEKOLA CORTEX™ ✓ |
| Thrissur East | Asia | 9.27 | 17 | 1.321× | ◆ .LEKOLA CORTEX™ ✓ |
| Tianjin | Asia | 31.09 | 14 | 4.916× | ◆ .LEKOLA CORTEX™ ✓ |
| Tiruchirappalli | Asia | 9.32 | 10 | 1.329× | ◆ .LEKOLA CORTEX™ ✓ |
| Tirunelveli | Asia | 10.19 | 13 | 1.448× | ◆ .LEKOLA CORTEX™ ✓ |
| Tirupati | Asia | 7.41 | 12 | 1.062× | ◆ .LEKOLA CORTEX™ ✓ |
| Tiruppur | Asia | 9.29 | 5 | 1.325× | ◆ .LEKOLA CORTEX™ ✓ |
| Tirupur North | Asia | 10.78 | 10 | 1.538× | ◆ .LEKOLA CORTEX™ ✓ |
| Tiruvannamalai | Asia | 9.83 | 6 | 1.405× | ◆ .LEKOLA CORTEX™ ✓ |
| Tokyo | Asia | 10.97 | 23 | 1.702× | ◆ .LEKOLA CORTEX™ ✓ |
| Tomsk | Asia | 7.61 | 17 | 1.332× | ◆ .LEKOLA CORTEX™ ✓ |
| Tripoli Lebanon | Asia | 8.53 | 10 | 1.315× | ◆ .LEKOLA CORTEX™ ✓ |
| Tumkur | Asia | 9.65 | 15 | 1.382× | ◆ .LEKOLA CORTEX™ ✓ |
| Tyumen | Asia | 6.59 | 10 | 1.158× | ◆ .LEKOLA CORTEX™ ✓ |
| Ubon Ratchathani | Asia | 10.81 | 12 | 1.555× | ◆ .LEKOLA CORTEX™ ✓ |
| Udaipur | Asia | 12.34 | 7 | 1.825× | ◆ .LEKOLA CORTEX™ ✓ |
| Udaipur RJ | Asia | 11.53 | 15 | 1.705× | ◆ .LEKOLA CORTEX™ ✓ |
| Udon Thani | Asia | 10.77 | 16 | 1.557× | ◆ .LEKOLA CORTEX™ ✓ |
| Ujjain | Asia | 9.21 | 16 | 1.355× | ◆ .LEKOLA CORTEX™ ✓ |
| Ulaanbaatar | Asia | 8.19 | 17 | 1.36× | ◆ .LEKOLA CORTEX™ ✓ |
| Ulhasnagar | Asia | 13.89 | 15 | 2.018× | ◆ .LEKOLA CORTEX™ ✓ |
| Ulsan | Asia | 7.63 | 10 | 1.183× | ◆ .LEKOLA CORTEX™ ✓ |
| Urmia | Asia | 8.47 | 16 | 1.327× | ◆ .LEKOLA CORTEX™ ✓ |
| Urumqi | Asia | 8.95 | 11 | 1.451× | ◆ .LEKOLA CORTEX™ ✓ |
| Vadodara | Asia | 9.15 | 20 | 1.342× | ◆ .LEKOLA CORTEX™ ✓ |
| Varanasi | Asia | 8.26 | 9 | 1.225× | ◆ .LEKOLA CORTEX™ ✓ |
| Vasai-Virar | Asia | 11.22 | 9 | 1.631× | ◆ .LEKOLA CORTEX™ ✓ |
| Vellore | Asia | 11.67 | 14 | 1.67× | ◆ .LEKOLA CORTEX™ ✓ |
| Veraval | Asia | 8.53 | 9 | 1.246× | ◆ .LEKOLA CORTEX™ ✓ |
| Vientiane | Asia | 10.89 | 11 | 1.577× | ◆ .LEKOLA CORTEX™ ✓ |
| Vijayawada | Asia | 11.09 | 11 | 1.6× | ◆ .LEKOLA CORTEX™ ✓ |
| Visakhapatnam | Asia | 13.92 | 13 | 2.014× | ◆ .LEKOLA CORTEX™ ✓ |
| Vladivostok | Asia | 9.72 | 20 | 1.569× | ◆ .LEKOLA CORTEX™ ✓ |
| Vung Tau | Asia | 8.07 | 5 | 1.15× | ◆ .LEKOLA CORTEX™ ✓ |
| Warangal | Asia | 10.48 | 12 | 1.518× | ◆ .LEKOLA CORTEX™ ✓ |
| Weifang | Asia | 9.35 | 7 | 1.458× | ◆ .LEKOLA CORTEX™ ✓ |
| Weihai | Asia | 8.72 | 6 | 1.365× | ◆ .LEKOLA CORTEX™ ✓ |
| Wenzhou | Asia | 9.6 | 12 | 1.438× | ◆ .LEKOLA CORTEX™ ✓ |
| Wuhan | Asia | 11.78 | 12 | 1.784× | ◆ .LEKOLA CORTEX™ ✓ |
| Wuxi | Asia | 10.96 | 12 | 1.667× | ◆ .LEKOLA CORTEX™ ✓ |
| Xiamen | Asia | 11.04 | 14 | 1.632× | ◆ .LEKOLA CORTEX™ ✓ |
| Xian | Asia | 7.96 | 10 | 1.227× | ◆ .LEKOLA CORTEX™ ✓ |
| Xiangtan | Asia | 10.01 | 9 | 1.499× | ◆ .LEKOLA CORTEX™ ✓ |
| Xiangyang | Asia | 9.01 | 12 | 1.373× | ◆ .LEKOLA CORTEX™ ✓ |
| Xiaogan | Asia | 8.79 | 11 | 1.333× | ◆ .LEKOLA CORTEX™ ✓ |
| Xingtai | Asia | 9.34 | 8 | 1.459× | ◆ .LEKOLA CORTEX™ ✓ |
| Xining | Asia | 31.08 | 10 | 4.845× | ◆ .LEKOLA CORTEX™ ✓ |
| Xinxiang | Asia | 10.41 | 5 | 1.612× | ◆ .LEKOLA CORTEX™ ✓ |
| Xuzhou | Asia | 12.18 | 9 | 1.876× | ◆ .LEKOLA CORTEX™ ✓ |
| Yangon | Asia | 8.73 | 11 | 1.26× | ◆ .LEKOLA CORTEX™ ✓ |
| Yantai | Asia | 8.54 | 8 | 1.337× | ◆ .LEKOLA CORTEX™ ✓ |
| Yerevan | Asia | 9.33 | 20 | 1.482× | ◆ .LEKOLA CORTEX™ ✓ |
| Yibin | Asia | 8.69 | 11 | 1.306× | ◆ .LEKOLA CORTEX™ ✓ |
| Yichang | Asia | 8.78 | 11 | 1.331× | ◆ .LEKOLA CORTEX™ ✓ |
| Yinchuan | Asia | 8.94 | 9 | 1.407× | ◆ .LEKOLA CORTEX™ ✓ |
| Yingkou | Asia | 11.43 | 6 | 1.82× | ◆ .LEKOLA CORTEX™ ✓ |
| Yogyakarta | Asia | 9.5 | 24 | 1.349× | ◆ .LEKOLA CORTEX™ ✓ |
| Yokohama | Asia | 11.21 | 12 | 1.737× | ◆ .LEKOLA CORTEX™ ✓ |
| Yongin | Asia | 9.24 | 12 | 1.445× | ◆ .LEKOLA CORTEX™ ✓ |
| Yueyang | Asia | 7.47 | 9 | 1.126× | ◆ .LEKOLA CORTEX™ ✓ |
| Zahedan | Asia | 8.99 | 30 | 1.355× | ◆ .LEKOLA CORTEX™ ✓ |
| Zamboanga | Asia | 9.49 | 13 | 1.346× | ◆ .LEKOLA CORTEX™ ✓ |
| Zaozhuang | Asia | 9.16 | 12 | 1.415× | ◆ .LEKOLA CORTEX™ ✓ |
| Zarqa | Asia | 10.86 | 15 | 1.656× | ◆ .LEKOLA CORTEX™ ✓ |
| Zhanjiang | Asia | 9.69 | 13 | 1.417× | ◆ .LEKOLA CORTEX™ ✓ |
| Zhengzhou | Asia | 9.91 | 17 | 1.53× | ◆ .LEKOLA CORTEX™ ✓ |
| Zhongshan | Asia | 10.1 | 14 | 1.483× | ◆ .LEKOLA CORTEX™ ✓ |
| Zhuhai | Asia | 7.7 | 4 | 1.13× | ◆ .LEKOLA CORTEX™ ✓ |
| Zhumadian | Asia | 9.41 | 6 | 1.441× | ◆ .LEKOLA CORTEX™ ✓ |
| Zhuzhou | Asia | 11.18 | 9 | 1.674× | ◆ .LEKOLA CORTEX™ ✓ |
| Zibo | Asia | 8.35 | 8 | 1.303× | ◆ .LEKOLA CORTEX™ ✓ |
| Zigong | Asia | 10.9 | 14 | 1.642× | ◆ .LEKOLA CORTEX™ ✓ |
| Zunyi | Asia | 13.88 | 19 | 2.077× | ◆ .LEKOLA CORTEX™ ✓ |
| Aarhus | Europe | 7.49 | 14 | 1.308× | ◆ .LEKOLA CORTEX™ ✓ |
| Alicante | Europe | 7.54 | 26 | 1.186× | ◆ .LEKOLA CORTEX™ ✓ |
| Amsterdam | Europe | 8.66 | 9 | 1.477× | ◆ .LEKOLA CORTEX™ ✓ |
| Andorra la Vella | Europe | 17.49 | 37 | 2.814× | ◆ .LEKOLA CORTEX™ ✓ |
| Angers | Europe | 8.07 | 26 | 1.336× | ◆ .LEKOLA CORTEX™ ✓ |
| Antwerp | Europe | 8.05 | 16 | 1.364× | ◆ .LEKOLA CORTEX™ ✓ |
| Astrakhan | Europe | 12.51 | 20 | 2.058× | ◆ .LEKOLA CORTEX™ ✓ |
| Athens | Europe | 10.3 | 15 | 1.617× | ◆ .LEKOLA CORTEX™ ✓ |
| Augsburg | Europe | 8.71 | 14 | 1.45× | ◆ .LEKOLA CORTEX™ ✓ |
| Banja Luka | Europe | 9.55 | 18 | 1.556× | ◆ .LEKOLA CORTEX™ ✓ |
| Barcelona | Europe | 8.51 | 21 | 1.361× | ◆ .LEKOLA CORTEX™ ✓ |
| Bari | Europe | 7.6 | 20 | 1.213× | ◆ .LEKOLA CORTEX™ ✓ |
| Basel | Europe | 8.88 | 26 | 1.471× | ◆ .LEKOLA CORTEX™ ✓ |
| Belfast | Europe | 7.59 | 16 | 1.313× | ◆ .LEKOLA CORTEX™ ✓ |
| Belgrade | Europe | 9.97 | 14 | 1.625× | ◆ .LEKOLA CORTEX™ ✓ |
| Bergen | Europe | 12.68 | 19 | 2.272× | ◆ .LEKOLA CORTEX™ ✓ |
| Berlin | Europe | 6.49 | 10 | 1.108× | ◆ .LEKOLA CORTEX™ ✓ |
| Bern | Europe | 13.38 | 23 | 2.209× | ◆ .LEKOLA CORTEX™ ✓ |
| Bielefeld | Europe | 6.76 | 15 | 1.151× | ◆ .LEKOLA CORTEX™ ✓ |
| Bilbao | Europe | 11.16 | 12 | 1.803× | ◆ .LEKOLA CORTEX™ ✓ |
| Birmingham | Europe | 7.47 | 11 | 1.275× | ◆ .LEKOLA CORTEX™ ✓ |
| Bochum | Europe | 8.54 | 10 | 1.449× | ◆ .LEKOLA CORTEX™ ✓ |
| Bologna | Europe | 9.23 | 22 | 1.502× | ◆ .LEKOLA CORTEX™ ✓ |
| Bonn | Europe | 7.85 | 13 | 1.326× | ◆ .LEKOLA CORTEX™ ✓ |
| Bordeaux | Europe | 8.65 | 23 | 1.41× | ◆ .LEKOLA CORTEX™ ✓ |
| Braga | Europe | 10.02 | 24 | 1.603× | ◆ .LEKOLA CORTEX™ ✓ |
| Bratislava | Europe | 8.37 | 16 | 1.392× | ◆ .LEKOLA CORTEX™ ✓ |
| Bremen | Europe | 8.73 | 18 | 1.496× | ◆ .LEKOLA CORTEX™ ✓ |
| Brescia | Europe | 8.55 | 29 | 1.4× | ◆ .LEKOLA CORTEX™ ✓ |
| Bristol | Europe | 9.59 | 16 | 1.627× | ◆ .LEKOLA CORTEX™ ✓ |
| Brno | Europe | 23.4 | 22 | 3.915× | ◆ .LEKOLA CORTEX™ ✓ |
| Bruges | Europe | 7.46 | 14 | 1.264× | ◆ .LEKOLA CORTEX™ ✓ |
| Brussels | Europe | 8.0 | 24 | 1.352× | ◆ .LEKOLA CORTEX™ ✓ |
| Bucharest | Europe | 7.03 | 17 | 1.143× | ◆ .LEKOLA CORTEX™ ✓ |
| Budapest | Europe | 8.23 | 20 | 1.363× | ◆ .LEKOLA CORTEX™ ✓ |
| Burgas | Europe | 11.92 | 20 | 1.918× | ◆ .LEKOLA CORTEX™ ✓ |
| Bydgoszcz | Europe | 8.2 | 13 | 1.405× | ◆ .LEKOLA CORTEX™ ✓ |
| Cagliari | Europe | 8.18 | 23 | 1.292× | ◆ .LEKOLA CORTEX™ ✓ |
| Cardiff | Europe | 7.63 | 15 | 1.295× | ◆ .LEKOLA CORTEX™ ✓ |
| Catania | Europe | 9.17 | 29 | 1.436× | ◆ .LEKOLA CORTEX™ ✓ |
| Chelyabinsk | Europe | 7.35 | 11 | 1.276× | ◆ .LEKOLA CORTEX™ ✓ |
| Chisinau | Europe | 8.62 | 18 | 1.424× | ◆ .LEKOLA CORTEX™ ✓ |
| Cluj-Napoca | Europe | 9.87 | 28 | 1.628× | ◆ .LEKOLA CORTEX™ ✓ |
| Coimbra | Europe | 10.86 | 25 | 1.725× | ◆ .LEKOLA CORTEX™ ✓ |
| Cologne | Europe | 8.89 | 24 | 1.503× | ◆ .LEKOLA CORTEX™ ✓ |
| Constanta | Europe | 6.61 | 17 | 1.074× | ◆ .LEKOLA CORTEX™ ✓ |
| Copenhagen | Europe | 7.04 | 13 | 1.226× | ◆ .LEKOLA CORTEX™ ✓ |
| Cordoba ES | Europe | 8.41 | 13 | 1.32× | ◆ .LEKOLA CORTEX™ ✓ |
| Cork | Europe | 7.13 | 20 | 1.213× | ◆ .LEKOLA CORTEX™ ✓ |
| Coventry | Europe | 7.13 | 20 | 1.217× | ◆ .LEKOLA CORTEX™ ✓ |
| Daugavpils | Europe | 11.59 | 14 | 2.02× | ◆ .LEKOLA CORTEX™ ✓ |
| Debrecen | Europe | 7.59 | 12 | 1.257× | ◆ .LEKOLA CORTEX™ ✓ |
| Dijon | Europe | 7.41 | 23 | 1.226× | ◆ .LEKOLA CORTEX™ ✓ |
| Dnipro | Europe | 7.71 | 12 | 1.284× | ◆ .LEKOLA CORTEX™ ✓ |
| Dortmund | Europe | 7.12 | 11 | 1.208× | ◆ .LEKOLA CORTEX™ ✓ |
| Dresden | Europe | 8.49 | 20 | 1.437× | ◆ .LEKOLA CORTEX™ ✓ |
| Dublin | Europe | 8.05 | 18 | 1.382× | ◆ .LEKOLA CORTEX™ ✓ |
| Duisburg | Europe | 12.75 | 17 | 2.163× | ◆ .LEKOLA CORTEX™ ✓ |
| Durres | Europe | 7.65 | 14 | 1.223× | ◆ .LEKOLA CORTEX™ ✓ |
| Dusseldorf | Europe | 7.22 | 19 | 1.223× | ◆ .LEKOLA CORTEX™ ✓ |
| Edinburgh | Europe | 6.09 | 18 | 1.062× | ◆ .LEKOLA CORTEX™ ✓ |
| Eindhoven | Europe | 8.92 | 13 | 1.513× | ◆ .LEKOLA CORTEX™ ✓ |
| Espoo | Europe | 8.59 | 13 | 1.538× | ◆ .LEKOLA CORTEX™ ✓ |
| Essen | Europe | 8.38 | 20 | 1.422× | ◆ .LEKOLA CORTEX™ ✓ |
| Faro | Europe | 8.45 | 24 | 1.32× | ◆ .LEKOLA CORTEX™ ✓ |
| Florence | Europe | 9.51 | 25 | 1.541× | ◆ .LEKOLA CORTEX™ ✓ |
| Frankfurt | Europe | 6.54 | 10 | 1.1× | ◆ .LEKOLA CORTEX™ ✓ |
| Funchal | Europe | 18.4 | 18 | 2.813× | ◆ .LEKOLA CORTEX™ ✓ |
| Galway | Europe | 6.44 | 12 | 1.105× | ◆ .LEKOLA CORTEX™ ✓ |
| Gdansk | Europe | 10.74 | 14 | 1.855× | ◆ .LEKOLA CORTEX™ ✓ |
| Geneva | Europe | 8.49 | 22 | 1.395× | ◆ .LEKOLA CORTEX™ ✓ |
| Genoa | Europe | 8.29 | 19 | 1.348× | ◆ .LEKOLA CORTEX™ ✓ |
| Ghent | Europe | 8.55 | 21 | 1.447× | ◆ .LEKOLA CORTEX™ ✓ |
| Gijon | Europe | 6.63 | 18 | 1.073× | ◆ .LEKOLA CORTEX™ ✓ |
| Glasgow | Europe | 7.86 | 18 | 1.37× | ◆ .LEKOLA CORTEX™ ✓ |
| Gothenburg | Europe | 8.29 | 33 | 1.462× | ◆ .LEKOLA CORTEX™ ✓ |
| Granada | Europe | 9.11 | 16 | 1.424× | ◆ .LEKOLA CORTEX™ ✓ |
| Graz | Europe | 7.61 | 10 | 1.257× | ◆ .LEKOLA CORTEX™ ✓ |
| Grenoble | Europe | 16.55 | 19 | 2.704× | ◆ .LEKOLA CORTEX™ ✓ |
| Hamburg | Europe | 7.1 | 24 | 1.22× | ◆ .LEKOLA CORTEX™ ✓ |
| Hannover | Europe | 7.57 | 12 | 1.291× | ◆ .LEKOLA CORTEX™ ✓ |
| Helsinki | Europe | 7.57 | 21 | 1.355× | ◆ .LEKOLA CORTEX™ ✓ |
| Heraklion | Europe | 10.38 | 7 | 1.607× | ◆ .LEKOLA CORTEX™ ✓ |
| Iasi | Europe | 10.8 | 14 | 1.785× | ◆ .LEKOLA CORTEX™ ✓ |
| Innsbruck | Europe | 9.09 | 25 | 1.503× | ◆ .LEKOLA CORTEX™ ✓ |
| Izhevsk | Europe | 9.07 | 14 | 1.591× | ◆ .LEKOLA CORTEX™ ✓ |
| Karlsruhe | Europe | 8.67 | 13 | 1.449× | ◆ .LEKOLA CORTEX™ ✓ |
| Katowice | Europe | 8.81 | 15 | 1.484× | ◆ .LEKOLA CORTEX™ ✓ |
| Kaunas | Europe | 9.3 | 9 | 1.611× | ◆ .LEKOLA CORTEX™ ✓ |
| Kazan | Europe | 8.27 | 9 | 1.441× | ◆ .LEKOLA CORTEX™ ✓ |
| Kharkiv | Europe | 6.91 | 16 | 1.162× | ◆ .LEKOLA CORTEX™ ✓ |
| Kosice | Europe | 14.77 | 15 | 2.464× | ◆ .LEKOLA CORTEX™ ✓ |
| Krakow | Europe | 6.5 | 10 | 1.093× | ◆ .LEKOLA CORTEX™ ✓ |
| Krasnodar | Europe | 7.97 | 9 | 1.301× | ◆ .LEKOLA CORTEX™ ✓ |
| Kyiv | Europe | 10.02 | 18 | 1.689× | ◆ .LEKOLA CORTEX™ ✓ |
| Larnaca | Europe | 7.49 | 21 | 1.158× | ◆ .LEKOLA CORTEX™ ✓ |
| Las Palmas | Europe | 7.75 | 30 | 1.162× | ◆ .LEKOLA CORTEX™ ✓ |
| Lausanne | Europe | 7.58 | 20 | 1.248× | ◆ .LEKOLA CORTEX™ ✓ |
| Le Havre | Europe | 8.43 | 21 | 1.413× | ◆ .LEKOLA CORTEX™ ✓ |
| Leeds | Europe | 7.04 | 14 | 1.212× | ◆ .LEKOLA CORTEX™ ✓ |
| Leipzig | Europe | 7.29 | 14 | 1.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Lille | Europe | 8.49 | 25 | 1.433× | ◆ .LEKOLA CORTEX™ ✓ |
| Limassol | Europe | 13.98 | 22 | 2.158× | ◆ .LEKOLA CORTEX™ ✓ |
| Linz | Europe | 8.6 | 13 | 1.431× | ◆ .LEKOLA CORTEX™ ✓ |
| Lisbon | Europe | 8.77 | 32 | 1.382× | ◆ .LEKOLA CORTEX™ ✓ |
| Liverpool | Europe | 7.74 | 14 | 1.329× | ◆ .LEKOLA CORTEX™ ✓ |
| Ljubljana | Europe | 7.64 | 11 | 1.255× | ◆ .LEKOLA CORTEX™ ✓ |
| Lodz | Europe | 8.04 | 14 | 1.366× | ◆ .LEKOLA CORTEX™ ✓ |
| London | Europe | 7.05 | 24 | 1.196× | ◆ .LEKOLA CORTEX™ ✓ |
| Lublin | Europe | 10.75 | 9 | 1.821× | ◆ .LEKOLA CORTEX™ ✓ |
| Luxembourg | Europe | 23.11 | 14 | 3.876× | ◆ .LEKOLA CORTEX™ ✓ |
| Lviv | Europe | 7.07 | 17 | 1.188× | ◆ .LEKOLA CORTEX™ ✓ |
| Lyon | Europe | 7.45 | 23 | 1.221× | ◆ .LEKOLA CORTEX™ ✓ |
| Lyon Part-Dieu | Europe | 8.02 | 18 | 1.315× | ◆ .LEKOLA CORTEX™ ✓ |
| Madrid | Europe | 8.01 | 18 | 1.274× | ◆ .LEKOLA CORTEX™ ✓ |
| Mainz | Europe | 10.34 | 22 | 1.738× | ◆ .LEKOLA CORTEX™ ✓ |
| Makhachkala | Europe | 10.17 | 16 | 1.641× | ◆ .LEKOLA CORTEX™ ✓ |
| Malaga | Europe | 10.21 | 18 | 1.592× | ◆ .LEKOLA CORTEX™ ✓ |
| Malmo | Europe | 7.99 | 12 | 1.39× | ◆ .LEKOLA CORTEX™ ✓ |
| Manchester | Europe | 7.28 | 18 | 1.25× | ◆ .LEKOLA CORTEX™ ✓ |
| Mannheim | Europe | 7.57 | 11 | 1.269× | ◆ .LEKOLA CORTEX™ ✓ |
| Maribor | Europe | 10.26 | 21 | 1.69× | ◆ .LEKOLA CORTEX™ ✓ |
| Marseille | Europe | 10.46 | 36 | 1.69× | ◆ .LEKOLA CORTEX™ ✓ |
| Messina | Europe | 8.25 | 12 | 1.296× | ◆ .LEKOLA CORTEX™ ✓ |
| Milan | Europe | 7.56 | 26 | 1.237× | ◆ .LEKOLA CORTEX™ ✓ |
| Minsk | Europe | 6.52 | 12 | 1.123× | ◆ .LEKOLA CORTEX™ ✓ |
| Modena | Europe | 7.52 | 8 | 1.225× | ◆ .LEKOLA CORTEX™ ✓ |
| Monaco | Europe | 12.0 | 30 | 1.944× | ◆ .LEKOLA CORTEX™ ✓ |
| Montpellier | Europe | 11.26 | 28 | 1.823× | ◆ .LEKOLA CORTEX™ ✓ |
| Moscow | Europe | 7.75 | 15 | 1.35× | ◆ .LEKOLA CORTEX™ ✓ |
| Munich | Europe | 7.72 | 17 | 1.283× | ◆ .LEKOLA CORTEX™ ✓ |
| Murcia | Europe | 9.53 | 15 | 1.496× | ◆ .LEKOLA CORTEX™ ✓ |
| Nantes | Europe | 7.03 | 37 | 1.162× | ◆ .LEKOLA CORTEX™ ✓ |
| Naples | Europe | 9.53 | 30 | 1.519× | ◆ .LEKOLA CORTEX™ ✓ |
| Newcastle upon Tyne | Europe | 8.75 | 22 | 1.517× | ◆ .LEKOLA CORTEX™ ✓ |
| Nice | Europe | 11.22 | 16 | 1.817× | ◆ .LEKOLA CORTEX™ ✓ |
| Nicosia | Europe | 23.21 | 36 | 3.592× | ◆ .LEKOLA CORTEX™ ✓ |
| Nis | Europe | 8.5 | 20 | 1.374× | ◆ .LEKOLA CORTEX™ ✓ |
| Nizhny Novgorod | Europe | 6.35 | 18 | 1.11× | ◆ .LEKOLA CORTEX™ ✓ |
| Nottingham | Europe | 8.99 | 20 | 1.539× | ◆ .LEKOLA CORTEX™ ✓ |
| Novi Sad | Europe | 8.63 | 12 | 1.411× | ◆ .LEKOLA CORTEX™ ✓ |
| Nuremberg | Europe | 9.98 | 22 | 1.672× | ◆ .LEKOLA CORTEX™ ✓ |
| Odense | Europe | 6.17 | 14 | 1.072× | ◆ .LEKOLA CORTEX™ ✓ |
| Odessa | Europe | 7.23 | 10 | 1.19× | ◆ .LEKOLA CORTEX™ ✓ |
| Omsk | Europe | 8.07 | 17 | 1.399× | ◆ .LEKOLA CORTEX™ ✓ |
| Orenburg | Europe | 6.97 | 13 | 1.185× | ◆ .LEKOLA CORTEX™ ✓ |
| Oslo | Europe | 6.87 | 28 | 1.228× | ◆ .LEKOLA CORTEX™ ✓ |
| Ostrava | Europe | 8.62 | 13 | 1.448× | ◆ .LEKOLA CORTEX™ ✓ |
| Padua | Europe | 9.91 | 35 | 1.621× | ◆ .LEKOLA CORTEX™ ✓ |
| Palermo | Europe | 7.93 | 26 | 1.246× | ◆ .LEKOLA CORTEX™ ✓ |
| Palma | Europe | 11.37 | 21 | 1.8× | ◆ .LEKOLA CORTEX™ ✓ |
| Paris | Europe | 7.13 | 19 | 1.191× | ◆ .LEKOLA CORTEX™ ✓ |
| Patras | Europe | 7.11 | 12 | 1.118× | ◆ .LEKOLA CORTEX™ ✓ |
| Perm | Europe | 9.84 | 15 | 1.738× | ◆ .LEKOLA CORTEX™ ✓ |
| Plovdiv | Europe | 9.31 | 15 | 1.495× | ◆ .LEKOLA CORTEX™ ✓ |
| Plzen | Europe | 7.26 | 19 | 1.219× | ◆ .LEKOLA CORTEX™ ✓ |
| Podgorica | Europe | 8.77 | 16 | 1.41× | ◆ .LEKOLA CORTEX™ ✓ |
| Porto | Europe | 17.68 | 18 | 2.823× | ◆ .LEKOLA CORTEX™ ✓ |
| Poznan | Europe | 8.24 | 20 | 1.406× | ◆ .LEKOLA CORTEX™ ✓ |
| Prague | Europe | 8.42 | 20 | 1.416× | ◆ .LEKOLA CORTEX™ ✓ |
| Pristina | Europe | 7.46 | 12 | 1.201× | ◆ .LEKOLA CORTEX™ ✓ |
| Reggio Calabria | Europe | 9.83 | 18 | 1.544× | ◆ .LEKOLA CORTEX™ ✓ |
| Reims | Europe | 8.2 | 24 | 1.373× | ◆ .LEKOLA CORTEX™ ✓ |
| Rennes | Europe | 11.28 | 20 | 1.875× | ◆ .LEKOLA CORTEX™ ✓ |
| Reykjavik | Europe | 8.32 | 18 | 1.524× | ◆ .LEKOLA CORTEX™ ✓ |
| Riga | Europe | 7.92 | 19 | 1.39× | ◆ .LEKOLA CORTEX™ ✓ |
| Rijeka | Europe | 17.41 | 20 | 2.847× | ◆ .LEKOLA CORTEX™ ✓ |
| Rome | Europe | 6.97 | 16 | 1.118× | ◆ .LEKOLA CORTEX™ ✓ |
| Rostov-on-Don | Europe | 9.42 | 20 | 1.558× | ◆ .LEKOLA CORTEX™ ✓ |
| Rotterdam | Europe | 9.96 | 20 | 1.694× | ◆ .LEKOLA CORTEX™ ✓ |
| Rotterdam Zuid | Europe | 9.98 | 22 | 1.697× | ◆ .LEKOLA CORTEX™ ✓ |
| Ryazan | Europe | 8.34 | 11 | 1.443× | ◆ .LEKOLA CORTEX™ ✓ |
| Saint Petersburg | Europe | 8.98 | 11 | 1.605× | ◆ .LEKOLA CORTEX™ ✓ |
| Saint-Etienne | Europe | 7.85 | 25 | 1.284× | ◆ .LEKOLA CORTEX™ ✓ |
| Salzburg | Europe | 7.79 | 10 | 1.293× | ◆ .LEKOLA CORTEX™ ✓ |
| Samara | Europe | 12.43 | 21 | 2.132× | ◆ .LEKOLA CORTEX™ ✓ |
| San Marino | Europe | 8.36 | 29 | 1.356× | ◆ .LEKOLA CORTEX™ ✓ |
| Sarajevo | Europe | 12.17 | 18 | 1.973× | ◆ .LEKOLA CORTEX™ ✓ |
| Saratov | Europe | 8.33 | 18 | 1.414× | ◆ .LEKOLA CORTEX™ ✓ |
| Seville | Europe | 11.55 | 19 | 1.807× | ◆ .LEKOLA CORTEX™ ✓ |
| Sheffield | Europe | 8.26 | 26 | 1.418× | ◆ .LEKOLA CORTEX™ ✓ |
| Skopje | Europe | 7.71 | 14 | 1.237× | ◆ .LEKOLA CORTEX™ ✓ |
| Sofia | Europe | 7.86 | 14 | 1.266× | ◆ .LEKOLA CORTEX™ ✓ |
| Split | Europe | 16.59 | 25 | 2.684× | ◆ .LEKOLA CORTEX™ ✓ |
| Stavanger | Europe | 11.69 | 24 | 2.077× | ◆ .LEKOLA CORTEX™ ✓ |
| Stockholm | Europe | 8.53 | 17 | 1.519× | ◆ .LEKOLA CORTEX™ ✓ |
| Strasbourg | Europe | 7.82 | 24 | 1.304× | ◆ .LEKOLA CORTEX™ ✓ |
| Stuttgart | Europe | 6.6 | 15 | 1.102× | ◆ .LEKOLA CORTEX™ ✓ |
| Szczecin | Europe | 7.06 | 15 | 1.212× | ◆ .LEKOLA CORTEX™ ✓ |
| Szeged | Europe | 7.26 | 13 | 1.194× | ◆ .LEKOLA CORTEX™ ✓ |
| Tallinn | Europe | 6.44 | 11 | 1.147× | ◆ .LEKOLA CORTEX™ ✓ |
| Tampere | Europe | 23.99 | 18 | 4.328× | ◆ .LEKOLA CORTEX™ ✓ |
| Tartu | Europe | 6.52 | 13 | 1.154× | ◆ .LEKOLA CORTEX™ ✓ |
| The Hague | Europe | 9.68 | 24 | 1.648× | ◆ .LEKOLA CORTEX™ ✓ |
| Thessaloniki | Europe | 9.03 | 18 | 1.438× | ◆ .LEKOLA CORTEX™ ✓ |
| Timisoara | Europe | 7.99 | 20 | 1.31× | ◆ .LEKOLA CORTEX™ ✓ |
| Tirana | Europe | 7.12 | 13 | 1.138× | ◆ .LEKOLA CORTEX™ ✓ |
| Tolyatti | Europe | 8.55 | 9 | 1.469× | ◆ .LEKOLA CORTEX™ ✓ |
| Toulon | Europe | 11.71 | 26 | 1.891× | ◆ .LEKOLA CORTEX™ ✓ |
| Toulouse | Europe | 9.68 | 38 | 1.567× | ◆ .LEKOLA CORTEX™ ✓ |
| Trieste | Europe | 10.91 | 18 | 1.787× | ◆ .LEKOLA CORTEX™ ✓ |
| Trondheim | Europe | 6.84 | 15 | 1.248× | ◆ .LEKOLA CORTEX™ ✓ |
| Turin | Europe | 7.65 | 18 | 1.249× | ◆ .LEKOLA CORTEX™ ✓ |
| Turku | Europe | 8.36 | 12 | 1.499× | ◆ .LEKOLA CORTEX™ ✓ |
| Ufa | Europe | 6.41 | 11 | 1.11× | ◆ .LEKOLA CORTEX™ ✓ |
| Uppsala | Europe | 7.5 | 12 | 1.34× | ◆ .LEKOLA CORTEX™ ✓ |
| Utrecht | Europe | 8.78 | 21 | 1.495× | ◆ .LEKOLA CORTEX™ ✓ |
| Vaduz | Europe | 9.32 | 9 | 1.54× | ◆ .LEKOLA CORTEX™ ✓ |
| Valencia | Europe | 9.48 | 24 | 1.5× | ◆ .LEKOLA CORTEX™ ✓ |
| Valencia Norte | Europe | 7.68 | 19 | 1.215× | ◆ .LEKOLA CORTEX™ ✓ |
| Valladolid | Europe | 7.33 | 21 | 1.174× | ◆ .LEKOLA CORTEX™ ✓ |
| Valletta | Europe | 6.81 | 22 | 1.058× | ◆ .LEKOLA CORTEX™ ✓ |
| Varna | Europe | 9.94 | 13 | 1.606× | ◆ .LEKOLA CORTEX™ ✓ |
| Venice | Europe | 20.78 | 26 | 3.4× | ◆ .LEKOLA CORTEX™ ✓ |
| Verona | Europe | 8.84 | 16 | 1.446× | ◆ .LEKOLA CORTEX™ ✓ |
| Vienna | Europe | 9.72 | 20 | 1.617× | ◆ .LEKOLA CORTEX™ ✓ |
| Vigo | Europe | 12.11 | 17 | 1.945× | ◆ .LEKOLA CORTEX™ ✓ |
| Vilnius | Europe | 7.15 | 11 | 1.237× | ◆ .LEKOLA CORTEX™ ✓ |
| Volgograd | Europe | 7.14 | 13 | 1.191× | ◆ .LEKOLA CORTEX™ ✓ |
| Voronezh | Europe | 7.72 | 12 | 1.311× | ◆ .LEKOLA CORTEX™ ✓ |
| Warsaw | Europe | 8.06 | 12 | 1.374× | ◆ .LEKOLA CORTEX™ ✓ |
| Wiesbaden | Europe | 7.1 | 12 | 1.194× | ◆ .LEKOLA CORTEX™ ✓ |
| Wroclaw | Europe | 8.7 | 18 | 1.473× | ◆ .LEKOLA CORTEX™ ✓ |
| Wuppertal | Europe | 8.78 | 13 | 1.488× | ◆ .LEKOLA CORTEX™ ✓ |
| Yaroslavl | Europe | 9.8 | 22 | 1.727× | ◆ .LEKOLA CORTEX™ ✓ |
| Yekaterinburg | Europe | 8.85 | 14 | 1.552× | ◆ .LEKOLA CORTEX™ ✓ |
| Zagreb | Europe | 10.91 | 12 | 1.789× | ◆ .LEKOLA CORTEX™ ✓ |
| Zaporizhzhia | Europe | 8.62 | 12 | 1.431× | ◆ .LEKOLA CORTEX™ ✓ |
| Zaragoza | Europe | 8.28 | 23 | 1.326× | ◆ .LEKOLA CORTEX™ ✓ |
| Zurich | Europe | 7.79 | 20 | 1.289× | ◆ .LEKOLA CORTEX™ ✓ |
| Aasiaat | North America | 1.92 | 10 | 1.352× | ◆ .LEKOLA CORTEX™ ✓ |
| Abbotsford | North America | 8.72 | 9 | 1.458× | ◆ .LEKOLA CORTEX™ ✓ |
| Acapulco | North America | 18.36 | 22 | 2.651× | ◆ .LEKOLA CORTEX™ ✓ |
| Aguascalientes | North America | 9.91 | 13 | 1.452× | ◆ .LEKOLA CORTEX™ ✓ |
| Akron | North America | 8.75 | 17 | 1.397× | ◆ .LEKOLA CORTEX™ ✓ |
| Akron OH | North America | 8.51 | 15 | 1.358× | ◆ .LEKOLA CORTEX™ ✓ |
| Albuquerque | North America | 8.33 | 13 | 1.289× | ◆ .LEKOLA CORTEX™ ✓ |
| Anaheim | North America | 8.17 | 8 | 1.256× | ◆ .LEKOLA CORTEX™ ✓ |
| Anchorage | North America | 12.35 | 9 | 2.224× | ◆ .LEKOLA CORTEX™ ✓ |
| Arlington | North America | 9.28 | 9 | 1.419× | ◆ .LEKOLA CORTEX™ ✓ |
| Atlanta | North America | 8.41 | 18 | 1.292× | ◆ .LEKOLA CORTEX™ ✓ |
| Augusta GA | North America | 9.25 | 14 | 1.42× | ◆ .LEKOLA CORTEX™ ✓ |
| Aurora | North America | 9.13 | 10 | 1.447× | ◆ .LEKOLA CORTEX™ ✓ |
| Austin | North America | 7.87 | 12 | 1.19× | ◆ .LEKOLA CORTEX™ ✓ |
| Bakersfield | North America | 9.95 | 10 | 1.541× | ◆ .LEKOLA CORTEX™ ✓ |
| Baltimore | North America | 8.23 | 12 | 1.301× | ◆ .LEKOLA CORTEX™ ✓ |
| Barrie | North America | 17.48 | 18 | 2.843× | ◆ .LEKOLA CORTEX™ ✓ |
| Basseterre | North America | 12.47 | 9 | 1.803× | ◆ .LEKOLA CORTEX™ ✓ |
| Baton Rouge | North America | 9.06 | 9 | 1.372× | ◆ .LEKOLA CORTEX™ ✓ |
| Belize City | North America | 7.91 | 18 | 1.144× | ◆ .LEKOLA CORTEX™ ✓ |
| Bethel AK | North America | 9.33 | 12 | 1.675× | ◆ .LEKOLA CORTEX™ ✓ |
| Billings | North America | 7.22 | 8 | 1.184× | ◆ .LEKOLA CORTEX™ ✓ |
| Boise | North America | 7.23 | 6 | 1.171× | ◆ .LEKOLA CORTEX™ ✓ |
| Boston | North America | 8.76 | 16 | 1.408× | ◆ .LEKOLA CORTEX™ ✓ |
| Brampton | North America | 7.52 | 10 | 1.218× | ◆ .LEKOLA CORTEX™ ✓ |
| Bridgetown | North America | 8.57 | 12 | 1.227× | ◆ .LEKOLA CORTEX™ ✓ |
| Buffalo | North America | 7.98 | 14 | 1.287× | ◆ .LEKOLA CORTEX™ ✓ |
| Burlington ON | North America | 6.71 | 10 | 1.085× | ◆ .LEKOLA CORTEX™ ✓ |
| Burnaby | North America | 9.31 | 10 | 1.558× | ◆ .LEKOLA CORTEX™ ✓ |
| Calgary | North America | 10.32 | 13 | 1.746× | ◆ .LEKOLA CORTEX™ ✓ |
| Cancun | North America | 7.88 | 9 | 1.152× | ◆ .LEKOLA CORTEX™ ✓ |
| Castries | North America | 10.79 | 15 | 1.548× | ◆ .LEKOLA CORTEX™ ✓ |
| Cedar Rapids | North America | 9.18 | 17 | 1.473× | ◆ .LEKOLA CORTEX™ ✓ |
| Chandler | North America | 9.26 | 7 | 1.42× | ◆ .LEKOLA CORTEX™ ✓ |
| Charleston SC | North America | 10.41 | 14 | 1.593× | ◆ .LEKOLA CORTEX™ ✓ |
| Charlotte | North America | 7.75 | 4 | 1.2× | ◆ .LEKOLA CORTEX™ ✓ |
| Charlottetown | North America | 8.61 | 18 | 1.415× | ◆ .LEKOLA CORTEX™ ✓ |
| Chattanooga | North America | 8.29 | 11 | 1.282× | ◆ .LEKOLA CORTEX™ ✓ |
| Chesapeake | North America | 9.55 | 10 | 1.49× | ◆ .LEKOLA CORTEX™ ✓ |
| Chicago | North America | 7.82 | 10 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Chihuahua | North America | 9.2 | 11 | 1.382× | ◆ .LEKOLA CORTEX™ ✓ |
| Chula Vista | North America | 8.89 | 12 | 1.359× | ◆ .LEKOLA CORTEX™ ✓ |
| Cincinnati | North America | 8.38 | 12 | 1.323× | ◆ .LEKOLA CORTEX™ ✓ |
| Clarksville | North America | 7.46 | 8 | 1.162× | ◆ .LEKOLA CORTEX™ ✓ |
| Cleveland | North America | 6.71 | 10 | 1.073× | ◆ .LEKOLA CORTEX™ ✓ |
| Colorado Springs | North America | 7.56 | 7 | 1.192× | ◆ .LEKOLA CORTEX™ ✓ |
| Columbia SC | North America | 7.51 | 6 | 1.156× | ◆ .LEKOLA CORTEX™ ✓ |
| Columbus | North America | 8.78 | 13 | 1.393× | ◆ .LEKOLA CORTEX™ ✓ |
| Columbus GA | North America | 9.01 | 11 | 1.376× | ◆ .LEKOLA CORTEX™ ✓ |
| Coquitlam | North America | 7.5 | 10 | 1.256× | ◆ .LEKOLA CORTEX™ ✓ |
| Corpus Christi | North America | 10.44 | 10 | 1.563× | ◆ .LEKOLA CORTEX™ ✓ |
| Culiacan | North America | 8.26 | 15 | 1.222× | ◆ .LEKOLA CORTEX™ ✓ |
| Dallas | North America | 7.84 | 9 | 1.199× | ◆ .LEKOLA CORTEX™ ✓ |
| Dayton | North America | 7.1 | 7 | 1.125× | ◆ .LEKOLA CORTEX™ ✓ |
| Denver | North America | 10.78 | 15 | 1.708× | ◆ .LEKOLA CORTEX™ ✓ |
| Des Moines | North America | 8.15 | 11 | 1.304× | ◆ .LEKOLA CORTEX™ ✓ |
| Detroit | North America | 7.5 | 14 | 1.205× | ◆ .LEKOLA CORTEX™ ✓ |
| Durham | North America | 9.04 | 12 | 1.405× | ◆ .LEKOLA CORTEX™ ✓ |
| Edmonton | North America | 7.58 | 8 | 1.302× | ◆ .LEKOLA CORTEX™ ✓ |
| El Paso | North America | 8.39 | 10 | 1.278× | ◆ .LEKOLA CORTEX™ ✓ |
| Eugene | North America | 7.85 | 6 | 1.274× | ◆ .LEKOLA CORTEX™ ✓ |
| Evansville | North America | 8.68 | 12 | 1.362× | ◆ .LEKOLA CORTEX™ ✓ |
| Fairbanks | North America | 6.72 | 8 | 1.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Fontana | North America | 9.57 | 10 | 1.473× | ◆ .LEKOLA CORTEX™ ✓ |
| Fort Collins | North America | 9.23 | 11 | 1.469× | ◆ .LEKOLA CORTEX™ ✓ |
| Fort Lauderdale | North America | 8.71 | 12 | 1.295× | ◆ .LEKOLA CORTEX™ ✓ |
| Fort Wayne | North America | 7.54 | 13 | 1.203× | ◆ .LEKOLA CORTEX™ ✓ |
| Fort Worth | North America | 7.61 | 8 | 1.164× | ◆ .LEKOLA CORTEX™ ✓ |
| Fort-de-France | North America | 11.57 | 16 | 1.662× | ◆ .LEKOLA CORTEX™ ✓ |
| Fredericton | North America | 10.98 | 14 | 1.802× | ◆ .LEKOLA CORTEX™ ✓ |
| Fresno | North America | 8.68 | 13 | 1.354× | ◆ .LEKOLA CORTEX™ ✓ |
| Garland | North America | 9.38 | 5 | 1.436× | ◆ .LEKOLA CORTEX™ ✓ |
| Gatineau | North America | 11.8 | 8 | 1.931× | ◆ .LEKOLA CORTEX™ ✓ |
| Gilbert | North America | 9.78 | 11 | 1.5× | ◆ .LEKOLA CORTEX™ ✓ |
| Glendale | North America | 9.63 | 9 | 1.479× | ◆ .LEKOLA CORTEX™ ✓ |
| Grand Prairie | North America | 9.58 | 15 | 1.465× | ◆ .LEKOLA CORTEX™ ✓ |
| Grand Rapids | North America | 9.05 | 13 | 1.46× | ◆ .LEKOLA CORTEX™ ✓ |
| Greensboro | North America | 7.03 | 10 | 1.093× | ◆ .LEKOLA CORTEX™ ✓ |
| Guadalajara | North America | 8.63 | 13 | 1.259× | ◆ .LEKOLA CORTEX™ ✓ |
| Guatemala City | North America | 9.71 | 25 | 1.395× | ◆ .LEKOLA CORTEX™ ✓ |
| Guelph | North America | 8.42 | 12 | 1.363× | ◆ .LEKOLA CORTEX™ ✓ |
| Halifax | North America | 10.05 | 18 | 1.637× | ◆ .LEKOLA CORTEX™ ✓ |
| Hamilton | North America | 12.53 | 11 | 2.024× | ◆ .LEKOLA CORTEX™ ✓ |
| Hampton | North America | 8.35 | 8 | 1.304× | ◆ .LEKOLA CORTEX™ ✓ |
| Havana | North America | 9.89 | 27 | 1.455× | ◆ .LEKOLA CORTEX™ ✓ |
| Henderson | North America | 9.18 | 8 | 1.427× | ◆ .LEKOLA CORTEX™ ✓ |
| Hermosillo | North America | 8.71 | 8 | 1.311× | ◆ .LEKOLA CORTEX™ ✓ |
| Hialeah | North America | 9.06 | 12 | 1.346× | ◆ .LEKOLA CORTEX™ ✓ |
| Homer AK | North America | 8.41 | 9 | 1.5× | ◆ .LEKOLA CORTEX™ ✓ |
| Honolulu | North America | 8.24 | 9 | 1.205× | ◆ .LEKOLA CORTEX™ ✓ |
| Houston | North America | 9.32 | 13 | 1.407× | ◆ .LEKOLA CORTEX™ ✓ |
| Huntsville | North America | 7.85 | 10 | 1.212× | ◆ .LEKOLA CORTEX™ ✓ |
| Ilulissat | North America | 2.1 | 11 | 1.483× | ◆ .LEKOLA CORTEX™ ✓ |
| Indianapolis | North America | 8.25 | 16 | 1.307× | ◆ .LEKOLA CORTEX™ ✓ |
| Irvine | North America | 8.08 | 10 | 1.241× | ◆ .LEKOLA CORTEX™ ✓ |
| Irving | North America | 10.36 | 14 | 1.585× | ◆ .LEKOLA CORTEX™ ✓ |
| Jacksonville | North America | 11.06 | 11 | 1.673× | ◆ .LEKOLA CORTEX™ ✓ |
| Jersey City | North America | 9.84 | 14 | 1.567× | ◆ .LEKOLA CORTEX™ ✓ |
| Joliet | North America | 8.52 | 7 | 1.363× | ◆ .LEKOLA CORTEX™ ✓ |
| Juarez | North America | 19.41 | 21 | 2.955× | ◆ .LEKOLA CORTEX™ ✓ |
| Juneau | North America | 7.48 | 7 | 1.323× | ◆ .LEKOLA CORTEX™ ✓ |
| Kamloops | North America | 11.12 | 12 | 1.877× | ◆ .LEKOLA CORTEX™ ✓ |
| Kansas City | North America | 9.13 | 13 | 1.442× | ◆ .LEKOLA CORTEX™ ✓ |
| Kelowna | North America | 8.45 | 8 | 1.42× | ◆ .LEKOLA CORTEX™ ✓ |
| Kenai | North America | 6.21 | 6 | 1.114× | ◆ .LEKOLA CORTEX™ ✓ |
| Ketchikan | North America | 6.81 | 11 | 1.183× | ◆ .LEKOLA CORTEX™ ✓ |
| Kingston | North America | 8.61 | 8 | 1.247× | ◆ .LEKOLA CORTEX™ ✓ |
| Kingston ON | North America | 7.54 | 12 | 1.225× | ◆ .LEKOLA CORTEX™ ✓ |
| Kingstown | North America | 16.13 | 16 | 2.31× | ◆ .LEKOLA CORTEX™ ✓ |
| Kitchener | North America | 7.3 | 10 | 1.181× | ◆ .LEKOLA CORTEX™ ✓ |
| Knoxville | North America | 8.46 | 8 | 1.314× | ◆ .LEKOLA CORTEX™ ✓ |
| Kodiak | North America | 7.08 | 9 | 1.249× | ◆ .LEKOLA CORTEX™ ✓ |
| Lansing | North America | 8.27 | 18 | 1.332× | ◆ .LEKOLA CORTEX™ ✓ |
| Laredo | North America | 10.1 | 7 | 1.51× | ◆ .LEKOLA CORTEX™ ✓ |
| Las Vegas | North America | 7.2 | 8 | 1.12× | ◆ .LEKOLA CORTEX™ ✓ |
| Laval | North America | 8.08 | 15 | 1.323× | ◆ .LEKOLA CORTEX™ ✓ |
| Leon | North America | 9.77 | 10 | 1.428× | ◆ .LEKOLA CORTEX™ ✓ |
| Lethbridge | North America | 8.07 | 8 | 1.354× | ◆ .LEKOLA CORTEX™ ✓ |
| Lexington | North America | 8.06 | 8 | 1.266× | ◆ .LEKOLA CORTEX™ ✓ |
| Lincoln | North America | 9.9 | 10 | 1.578× | ◆ .LEKOLA CORTEX™ ✓ |
| Little Rock | North America | 9.36 | 21 | 1.445× | ◆ .LEKOLA CORTEX™ ✓ |
| London ON | North America | 8.45 | 8 | 1.363× | ◆ .LEKOLA CORTEX™ ✓ |
| Long Beach | North America | 8.77 | 8 | 1.348× | ◆ .LEKOLA CORTEX™ ✓ |
| Longueuil | North America | 10.39 | 20 | 1.701× | ◆ .LEKOLA CORTEX™ ✓ |
| Los Angeles | North America | 7.09 | 12 | 1.091× | ◆ .LEKOLA CORTEX™ ✓ |
| Louisville | North America | 7.39 | 12 | 1.162× | ◆ .LEKOLA CORTEX™ ✓ |
| Lubbock | North America | 9.41 | 12 | 1.445× | ◆ .LEKOLA CORTEX™ ✓ |
| Madison | North America | 7.51 | 7 | 1.212× | ◆ .LEKOLA CORTEX™ ✓ |
| Managua | North America | 9.95 | 15 | 1.422× | ◆ .LEKOLA CORTEX™ ✓ |
| Maniitsoq | North America | 1.51 | 7 | 1.045× | ◆ .LEKOLA CORTEX™ ✓ |
| Markham | North America | 9.0 | 10 | 1.459× | ◆ .LEKOLA CORTEX™ ✓ |
| Memphis | North America | 9.07 | 12 | 1.403× | ◆ .LEKOLA CORTEX™ ✓ |
| Merida | North America | 9.94 | 13 | 1.452× | ◆ .LEKOLA CORTEX™ ✓ |
| Mesa | North America | 9.24 | 10 | 1.418× | ◆ .LEKOLA CORTEX™ ✓ |
| Mexicali | North America | 9.45 | 8 | 1.445× | ◆ .LEKOLA CORTEX™ ✓ |
| Mexico City | North America | 10.14 | 24 | 1.474× | ◆ .LEKOLA CORTEX™ ✓ |
| Miami | North America | 14.81 | 23 | 2.199× | ◆ .LEKOLA CORTEX™ ✓ |
| Milwaukee | North America | 6.39 | 9 | 1.031× | ◆ .LEKOLA CORTEX™ ✓ |
| Minneapolis | North America | 8.24 | 11 | 1.345× | ◆ .LEKOLA CORTEX™ ✓ |
| Mississauga | North America | 6.83 | 7 | 1.106× | ◆ .LEKOLA CORTEX™ ✓ |
| Mobile | North America | 8.32 | 11 | 1.261× | ◆ .LEKOLA CORTEX™ ✓ |
| Modesto | North America | 8.13 | 11 | 1.274× | ◆ .LEKOLA CORTEX™ ✓ |
| Moncton | North America | 8.71 | 9 | 1.431× | ◆ .LEKOLA CORTEX™ ✓ |
| Monterrey | North America | 9.76 | 12 | 1.449× | ◆ .LEKOLA CORTEX™ ✓ |
| Montgomery | North America | 8.24 | 13 | 1.258× | ◆ .LEKOLA CORTEX™ ✓ |
| Montreal | North America | 8.21 | 13 | 1.344× | ◆ .LEKOLA CORTEX™ ✓ |
| Morelia | North America | 10.49 | 18 | 1.527× | ◆ .LEKOLA CORTEX™ ✓ |
| Murfreesboro | North America | 7.48 | 9 | 1.161× | ◆ .LEKOLA CORTEX™ ✓ |
| Nanaimo | North America | 9.94 | 13 | 1.663× | ◆ .LEKOLA CORTEX™ ✓ |
| Naperville | North America | 8.62 | 10 | 1.381× | ◆ .LEKOLA CORTEX™ ✓ |
| Nashville | North America | 7.83 | 13 | 1.218× | ◆ .LEKOLA CORTEX™ ✓ |
| Nassau | North America | 9.15 | 17 | 1.355× | ◆ .LEKOLA CORTEX™ ✓ |
| New Orleans | North America | 9.68 | 11 | 1.462× | ◆ .LEKOLA CORTEX™ ✓ |
| New York | North America | 9.01 | 13 | 1.435× | ◆ .LEKOLA CORTEX™ ✓ |
| Newark | North America | 8.85 | 14 | 1.41× | ◆ .LEKOLA CORTEX™ ✓ |
| Newport News | North America | 8.94 | 13 | 1.397× | ◆ .LEKOLA CORTEX™ ✓ |
| Nome | North America | 5.75 | 5 | 1.056× | ◆ .LEKOLA CORTEX™ ✓ |
| Norfolk | North America | 8.78 | 13 | 1.37× | ◆ .LEKOLA CORTEX™ ✓ |
| North Pole AK | North America | 9.8 | 11 | 1.802× | ◆ .LEKOLA CORTEX™ ✓ |
| Nuuk | North America | 2.72 | 10 | 1.869× | ◆ .LEKOLA CORTEX™ ✓ |
| Oakland | North America | 9.94 | 10 | 1.559× | ◆ .LEKOLA CORTEX™ ✓ |
| Ogden | North America | 8.29 | 12 | 1.324× | ◆ .LEKOLA CORTEX™ ✓ |
| Oklahoma City | North America | 14.03 | 18 | 2.174× | ◆ .LEKOLA CORTEX™ ✓ |
| Omaha | North America | 9.6 | 11 | 1.534× | ◆ .LEKOLA CORTEX™ ✓ |
| Oranjestad | North America | 8.94 | 21 | 1.278× | ◆ .LEKOLA CORTEX™ ✓ |
| Orlando | North America | 10.51 | 17 | 1.578× | ◆ .LEKOLA CORTEX™ ✓ |
| Oshawa | North America | 9.23 | 8 | 1.497× | ◆ .LEKOLA CORTEX™ ✓ |
| Ottawa | North America | 9.19 | 16 | 1.503× | ◆ .LEKOLA CORTEX™ ✓ |
| Overland Park | North America | 8.42 | 12 | 1.329× | ◆ .LEKOLA CORTEX™ ✓ |
| Paamiut | North America | 1.97 | 5 | 1.336× | ◆ .LEKOLA CORTEX™ ✓ |
| Palmer | North America | 11.68 | 10 | 2.108× | ◆ .LEKOLA CORTEX™ ✓ |
| Panama City | North America | 9.84 | 11 | 1.399× | ◆ .LEKOLA CORTEX™ ✓ |
| Peoria | North America | 6.26 | 6 | 0.997× | ◆ .LEKOLA CORTEX™ ✓ |
| Philadelphia | North America | 8.89 | 14 | 1.41× | ◆ .LEKOLA CORTEX™ ✓ |
| Phoenix | North America | 9.11 | 14 | 1.398× | ◆ .LEKOLA CORTEX™ ✓ |
| Pittsburgh | North America | 8.46 | 15 | 1.346× | ◆ .LEKOLA CORTEX™ ✓ |
| Plano | North America | 8.57 | 7 | 1.313× | ◆ .LEKOLA CORTEX™ ✓ |
| Pointe-a-Pitre | North America | 8.14 | 22 | 1.174× | ◆ .LEKOLA CORTEX™ ✓ |
| Port of Spain | North America | 13.54 | 17 | 1.93× | ◆ .LEKOLA CORTEX™ ✓ |
| Port-au-Prince | North America | 9.07 | 7 | 1.316× | ◆ .LEKOLA CORTEX™ ✓ |
| Portland | North America | 8.35 | 11 | 1.367× | ◆ .LEKOLA CORTEX™ ✓ |
| Providence | North America | 9.56 | 23 | 1.532× | ◆ .LEKOLA CORTEX™ ✓ |
| Provo | North America | 23.98 | 5 | 3.81× | ◆ .LEKOLA CORTEX™ ✓ |
| Puebla | North America | 8.85 | 13 | 1.285× | ◆ .LEKOLA CORTEX™ ✓ |
| Qaqortoq | North America | 6.5 | 8 | 1.167× | ◆ .LEKOLA CORTEX™ ✓ |
| Quebec City | North America | 8.32 | 9 | 1.372× | ◆ .LEKOLA CORTEX™ ✓ |
| Queretaro | North America | 12.13 | 24 | 1.77× | ◆ .LEKOLA CORTEX™ ✓ |
| Quetzaltenango | North America | 10.63 | 14 | 1.527× | ◆ .LEKOLA CORTEX™ ✓ |
| Raleigh | North America | 8.01 | 9 | 1.243× | ◆ .LEKOLA CORTEX™ ✓ |
| Red Deer | North America | 7.98 | 12 | 1.36× | ◆ .LEKOLA CORTEX™ ✓ |
| Regina | North America | 8.94 | 9 | 1.507× | ◆ .LEKOLA CORTEX™ ✓ |
| Reno | North America | 9.09 | 16 | 1.439× | ◆ .LEKOLA CORTEX™ ✓ |
| Richmond | North America | 7.77 | 12 | 1.217× | ◆ .LEKOLA CORTEX™ ✓ |
| Richmond BC | North America | 10.63 | 14 | 1.778× | ◆ .LEKOLA CORTEX™ ✓ |
| Riverside | North America | 7.54 | 16 | 1.16× | ◆ .LEKOLA CORTEX™ ✓ |
| Rochester NY | North America | 7.4 | 7 | 1.195× | ◆ .LEKOLA CORTEX™ ✓ |
| Rockford | North America | 7.86 | 5 | 1.263× | ◆ .LEKOLA CORTEX™ ✓ |
| Roseau | North America | 11.77 | 10 | 1.693× | ◆ .LEKOLA CORTEX™ ✓ |
| Sacramento | North America | 8.18 | 12 | 1.288× | ◆ .LEKOLA CORTEX™ ✓ |
| Saint Paul | North America | 8.15 | 13 | 1.33× | ◆ .LEKOLA CORTEX™ ✓ |
| Salem OR | North America | 7.16 | 9 | 1.168× | ◆ .LEKOLA CORTEX™ ✓ |
| Salt Lake City | North America | 8.41 | 15 | 1.34× | ◆ .LEKOLA CORTEX™ ✓ |
| Saltillo | North America | 8.25 | 12 | 1.224× | ◆ .LEKOLA CORTEX™ ✓ |
| San Antonio | North America | 7.68 | 7 | 1.157× | ◆ .LEKOLA CORTEX™ ✓ |
| San Diego | North America | 10.98 | 10 | 1.679× | ◆ .LEKOLA CORTEX™ ✓ |
| San Francisco | North America | 9.68 | 15 | 1.518× | ◆ .LEKOLA CORTEX™ ✓ |
| San Jose | North America | 7.71 | 8 | 1.206× | ◆ .LEKOLA CORTEX™ ✓ |
| San Jose CR | North America | 8.54 | 19 | 1.216× | ◆ .LEKOLA CORTEX™ ✓ |
| San Juan | North America | 19.6 | 20 | 2.842× | ◆ .LEKOLA CORTEX™ ✓ |
| San Pedro Sula | North America | 10.11 | 12 | 1.455× | ◆ .LEKOLA CORTEX™ ✓ |
| San Salvador | North America | 9.22 | 27 | 1.322× | ◆ .LEKOLA CORTEX™ ✓ |
| Santa Ana | North America | 9.02 | 15 | 1.386× | ◆ .LEKOLA CORTEX™ ✓ |
| Santa Clarita | North America | 11.04 | 14 | 1.702× | ◆ .LEKOLA CORTEX™ ✓ |
| Santiago DR | North America | 8.09 | 8 | 1.176× | ◆ .LEKOLA CORTEX™ ✓ |
| Santiago de Cuba | North America | 11.56 | 11 | 1.684× | ◆ .LEKOLA CORTEX™ ✓ |
| Santo Domingo | North America | 11.31 | 14 | 1.64× | ◆ .LEKOLA CORTEX™ ✓ |
| Saskatoon | North America | 7.36 | 9 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Savannah | North America | 21.03 | 14 | 3.207× | ◆ .LEKOLA CORTEX™ ✓ |
| Scottsdale | North America | 8.71 | 7 | 1.337× | ◆ .LEKOLA CORTEX™ ✓ |
| Seattle | North America | 9.19 | 19 | 1.523× | ◆ .LEKOLA CORTEX™ ✓ |
| Sherbrooke | North America | 8.0 | 14 | 1.309× | ◆ .LEKOLA CORTEX™ ✓ |
| Shreveport | North America | 13.63 | 13 | 2.083× | ◆ .LEKOLA CORTEX™ ✓ |
| Sioux Falls | North America | 9.66 | 10 | 1.563× | ◆ .LEKOLA CORTEX™ ✓ |
| Sisimiut | North America | 1.7 | 7 | 1.186× | ◆ .LEKOLA CORTEX™ ✓ |
| Sitka | North America | 16.16 | 11 | 2.838× | ◆ .LEKOLA CORTEX™ ✓ |
| Soldotna | North America | 8.52 | 4 | 1.528× | ◆ .LEKOLA CORTEX™ ✓ |
| Spokane | North America | 8.18 | 9 | 1.356× | ◆ .LEKOLA CORTEX™ ✓ |
| Spokane Valley | North America | 9.64 | 11 | 1.598× | ◆ .LEKOLA CORTEX™ ✓ |
| Springfield MO | North America | 10.2 | 11 | 1.595× | ◆ .LEKOLA CORTEX™ ✓ |
| St. Catharines | North America | 7.61 | 11 | 1.229× | ◆ .LEKOLA CORTEX™ ✓ |
| St. George's | North America | 8.06 | 11 | 1.152× | ◆ .LEKOLA CORTEX™ ✓ |
| St. John's | North America | 7.63 | 17 | 1.264× | ◆ .LEKOLA CORTEX™ ✓ |
| St. John's Antigua | North America | 12.4 | 12 | 1.792× | ◆ .LEKOLA CORTEX™ ✓ |
| St. Louis | North America | 11.64 | 16 | 1.833× | ◆ .LEKOLA CORTEX™ ✓ |
| St. Petersburg | North America | 9.83 | 13 | 1.471× | ◆ .LEKOLA CORTEX™ ✓ |
| Stockton | North America | 8.03 | 10 | 1.26× | ◆ .LEKOLA CORTEX™ ✓ |
| Sudbury | North America | 7.32 | 7 | 1.205× | ◆ .LEKOLA CORTEX™ ✓ |
| Surrey | North America | 11.11 | 10 | 1.859× | ◆ .LEKOLA CORTEX™ ✓ |
| Tacoma | North America | 14.93 | 13 | 2.469× | ◆ .LEKOLA CORTEX™ ✓ |
| Tallahassee | North America | 7.64 | 12 | 1.157× | ◆ .LEKOLA CORTEX™ ✓ |
| Tampa | North America | 9.55 | 12 | 1.431× | ◆ .LEKOLA CORTEX™ ✓ |
| Tasiilaq | North America | 1.43 | 9 | 0.991× | ◆ .LEKOLA CORTEX™ ✓ |
| Tegucigalpa | North America | 12.18 | 10 | 1.747× | ◆ .LEKOLA CORTEX™ ✓ |
| Thunder Bay | North America | 7.22 | 9 | 1.202× | ◆ .LEKOLA CORTEX™ ✓ |
| Tijuana | North America | 15.24 | 26 | 2.329× | ◆ .LEKOLA CORTEX™ ✓ |
| Toledo | North America | 7.81 | 8 | 1.251× | ◆ .LEKOLA CORTEX™ ✓ |
| Toluca | North America | 8.21 | 14 | 1.193× | ◆ .LEKOLA CORTEX™ ✓ |
| Topeka | North America | 8.09 | 8 | 1.277× | ◆ .LEKOLA CORTEX™ ✓ |
| Toronto | North America | 8.33 | 7 | 1.349× | ◆ .LEKOLA CORTEX™ ✓ |
| Trois-Rivieres | North America | 8.57 | 13 | 1.41× | ◆ .LEKOLA CORTEX™ ✓ |
| Tucson | North America | 9.97 | 10 | 1.521× | ◆ .LEKOLA CORTEX™ ✓ |
| Tulsa | North America | 8.44 | 10 | 1.312× | ◆ .LEKOLA CORTEX™ ✓ |
| Utqiagvik | North America | 5.32 | 7 | 1.012× | ◆ .LEKOLA CORTEX™ ✓ |
| Vancouver | North America | 11.8 | 17 | 1.975× | ◆ .LEKOLA CORTEX™ ✓ |
| Vancouver WA | North America | 9.44 | 12 | 1.546× | ◆ .LEKOLA CORTEX™ ✓ |
| Vaughan | North America | 8.81 | 8 | 1.428× | ◆ .LEKOLA CORTEX™ ✓ |
| Veracruz | North America | 10.19 | 10 | 1.481× | ◆ .LEKOLA CORTEX™ ✓ |
| Victoria | North America | 7.85 | 10 | 1.307× | ◆ .LEKOLA CORTEX™ ✓ |
| Virginia Beach | North America | 10.37 | 14 | 1.618× | ◆ .LEKOLA CORTEX™ ✓ |
| Washington | North America | 7.78 | 13 | 1.227× | ◆ .LEKOLA CORTEX™ ✓ |
| Wasilla | North America | 6.78 | 7 | 1.224× | ◆ .LEKOLA CORTEX™ ✓ |
| West Valley City | North America | 9.78 | 18 | 1.558× | ◆ .LEKOLA CORTEX™ ✓ |
| Whitehorse | North America | 8.47 | 11 | 1.521× | ◆ .LEKOLA CORTEX™ ✓ |
| Wichita | North America | 9.33 | 15 | 1.462× | ◆ .LEKOLA CORTEX™ ✓ |
| Willemstad | North America | 9.32 | 12 | 1.332× | ◆ .LEKOLA CORTEX™ ✓ |
| Windsor | North America | 8.61 | 15 | 1.384× | ◆ .LEKOLA CORTEX™ ✓ |
| Winnipeg | North America | 6.92 | 7 | 1.163× | ◆ .LEKOLA CORTEX™ ✓ |
| Winston-Salem | North America | 8.27 | 10 | 1.286× | ◆ .LEKOLA CORTEX™ ✓ |
| Worcester | North America | 6.66 | 9 | 1.07× | ◆ .LEKOLA CORTEX™ ✓ |
| Yellowknife | North America | 13.25 | 9 | 2.404× | ◆ .LEKOLA CORTEX™ ✓ |
| Yonkers | North America | 11.11 | 12 | 1.772× | ◆ .LEKOLA CORTEX™ ✓ |
| Zapopan | North America | 9.45 | 13 | 1.379× | ◆ .LEKOLA CORTEX™ ✓ |
| Adelaide | Oceania | 8.61 | 12 | 1.331× | ◆ .LEKOLA CORTEX™ ✓ |
| Alofi | Oceania | 11.26 | 5 | 1.635× | ◆ .LEKOLA CORTEX™ ✓ |
| Apia | Oceania | 8.69 | 8 | 1.246× | ◆ .LEKOLA CORTEX™ ✓ |
| Auckland | Oceania | 12.07 | 13 | 1.883× | ◆ .LEKOLA CORTEX™ ✓ |
| Avarua | Oceania | 8.98 | 5 | 1.313× | ◆ .LEKOLA CORTEX™ ✓ |
| Ballarat | Oceania | 8.19 | 17 | 1.283× | ◆ .LEKOLA CORTEX™ ✓ |
| Bendigo | Oceania | 7.13 | 15 | 1.112× | ◆ .LEKOLA CORTEX™ ✓ |
| Brisbane | Oceania | 8.78 | 11 | 1.312× | ◆ .LEKOLA CORTEX™ ✓ |
| Bunbury | Oceania | 8.57 | 20 | 1.314× | ◆ .LEKOLA CORTEX™ ✓ |
| Bundaberg | Oceania | 10.12 | 21 | 1.498× | ◆ .LEKOLA CORTEX™ ✓ |
| Cairns | Oceania | 7.87 | 13 | 1.136× | ◆ .LEKOLA CORTEX™ ✓ |
| Canberra | Oceania | 12.34 | 19 | 1.91× | ◆ .LEKOLA CORTEX™ ✓ |
| Christchurch | Oceania | 9.42 | 17 | 1.524× | ◆ .LEKOLA CORTEX™ ✓ |
| Coffs Harbour | Oceania | 11.94 | 13 | 1.806× | ◆ .LEKOLA CORTEX™ ✓ |
| Darwin | Oceania | 11.48 | 13 | 1.641× | ◆ .LEKOLA CORTEX™ ✓ |
| Dunedin | Oceania | 6.88 | 13 | 1.128× | ◆ .LEKOLA CORTEX™ ✓ |
| Funafuti | Oceania | 2.57 | 5 | 1.369× | ◆ .LEKOLA CORTEX™ ✓ |
| Geelong | Oceania | 8.18 | 9 | 1.285× | ◆ .LEKOLA CORTEX™ ✓ |
| Gisborne | Oceania | 9.2 | 12 | 1.449× | ◆ .LEKOLA CORTEX™ ✓ |
| Gold Coast | Oceania | 8.4 | 18 | 1.258× | ◆ .LEKOLA CORTEX™ ✓ |
| Hagatna | Oceania | 9.87 | 10 | 1.414× | ◆ .LEKOLA CORTEX™ ✓ |
| Hamilton NZ | Oceania | 8.31 | 18 | 1.303× | ◆ .LEKOLA CORTEX™ ✓ |
| Hervey Bay | Oceania | 8.81 | 19 | 1.306× | ◆ .LEKOLA CORTEX™ ✓ |
| Hobart | Oceania | 8.24 | 12 | 1.328× | ◆ .LEKOLA CORTEX™ ✓ |
| Honiara | Oceania | 9.73 | 14 | 1.384× | ◆ .LEKOLA CORTEX™ ✓ |
| Invercargill | Oceania | 9.93 | 7 | 1.634× | ◆ .LEKOLA CORTEX™ ✓ |
| Lae | Oceania | 23.04 | 16 | 3.267× | ◆ .LEKOLA CORTEX™ ✓ |
| Launceston | Oceania | 12.21 | 11 | 1.952× | ◆ .LEKOLA CORTEX™ ✓ |
| Lautoka | Oceania | 11.8 | 14 | 1.707× | ◆ .LEKOLA CORTEX™ ✓ |
| Mackay | Oceania | 7.28 | 12 | 1.064× | ◆ .LEKOLA CORTEX™ ✓ |
| Majuro | Oceania | 2.64 | 7 | 1.404× | ◆ .LEKOLA CORTEX™ ✓ |
| Mata-Utu | Oceania | 9.3 | 9 | 1.332× | ◆ .LEKOLA CORTEX™ ✓ |
| Melbourne | Oceania | 8.69 | 14 | 1.363× | ◆ .LEKOLA CORTEX™ ✓ |
| Nadi | Oceania | 12.02 | 9 | 1.74× | ◆ .LEKOLA CORTEX™ ✓ |
| Napier | Oceania | 9.0 | 14 | 1.424× | ◆ .LEKOLA CORTEX™ ✓ |
| Nelson | Oceania | 7.63 | 8 | 1.219× | ◆ .LEKOLA CORTEX™ ✓ |
| New Plymouth | Oceania | 8.65 | 16 | 1.365× | ◆ .LEKOLA CORTEX™ ✓ |
| Newcastle | Oceania | 19.31 | 18 | 2.956× | ◆ .LEKOLA CORTEX™ ✓ |
| Noumea | Oceania | 10.28 | 28 | 1.508× | ◆ .LEKOLA CORTEX™ ✓ |
| Nuku'alofa | Oceania | 6.9 | 11 | 1.008× | ◆ .LEKOLA CORTEX™ ✓ |
| Palikir | Oceania | 9.69 | 13 | 1.374× | ◆ .LEKOLA CORTEX™ ✓ |
| Palmerston North | Oceania | 8.5 | 10 | 1.351× | ◆ .LEKOLA CORTEX™ ✓ |
| Papeete | Oceania | 9.8 | 27 | 1.417× | ◆ .LEKOLA CORTEX™ ✓ |
| Perth | Oceania | 6.91 | 7 | 1.053× | ◆ .LEKOLA CORTEX™ ✓ |
| Port Moresby | Oceania | 10.25 | 28 | 1.458× | ◆ .LEKOLA CORTEX™ ✓ |
| Port Vila | Oceania | 14.87 | 11 | 2.152× | ◆ .LEKOLA CORTEX™ ✓ |
| Queenstown | Oceania | 9.9 | 9 | 1.616× | ◆ .LEKOLA CORTEX™ ✓ |
| Rockhampton | Oceania | 9.43 | 16 | 1.388× | ◆ .LEKOLA CORTEX™ ✓ |
| Rotorua | Oceania | 10.84 | 8 | 1.703× | ◆ .LEKOLA CORTEX™ ✓ |
| Suva | Oceania | 8.73 | 14 | 1.265× | ◆ .LEKOLA CORTEX™ ✓ |
| Sydney | Oceania | 9.94 | 21 | 1.528× | ◆ .LEKOLA CORTEX™ ✓ |
| Tarawa | Oceania | 8.87 | 2 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Tauranga | Oceania | 7.46 | 19 | 1.169× | ◆ .LEKOLA CORTEX™ ✓ |
| Toowoomba | Oceania | 15.63 | 16 | 2.337× | ◆ .LEKOLA CORTEX™ ✓ |
| Townsville | Oceania | 7.48 | 10 | 1.087× | ◆ .LEKOLA CORTEX™ ✓ |
| Wagga Wagga | Oceania | 7.89 | 16 | 1.22× | ◆ .LEKOLA CORTEX™ ✓ |
| Wellington | Oceania | 7.74 | 14 | 1.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Whangarei | Oceania | 9.61 | 12 | 1.491× | ◆ .LEKOLA CORTEX™ ✓ |
| Wollongong | Oceania | 9.36 | 12 | 1.443× | ◆ .LEKOLA CORTEX™ ✓ |
| Yaren | Oceania | 7.66 | 2 | 1.082× | ◆ .LEKOLA CORTEX™ ✓ |
| Ambato | South America | 9.97 | 21 | 1.409× | ◆ .LEKOLA CORTEX™ ✓ |
| Ananindeua | South America | 17.09 | 18 | 2.415× | ◆ .LEKOLA CORTEX™ ✓ |
| Anapolis | South America | 10.12 | 20 | 1.459× | ◆ .LEKOLA CORTEX™ ✓ |
| Antofagasta | South America | 8.95 | 18 | 1.319× | ◆ .LEKOLA CORTEX™ ✓ |
| Aracaju | South America | 11.4 | 20 | 1.626× | ◆ .LEKOLA CORTEX™ ✓ |
| Arequipa | South America | 7.89 | 13 | 1.138× | ◆ .LEKOLA CORTEX™ ✓ |
| Asuncion | South America | 7.4 | 5 | 1.097× | ◆ .LEKOLA CORTEX™ ✓ |
| Bahia Blanca | South America | 8.66 | 11 | 1.364× | ◆ .LEKOLA CORTEX™ ✓ |
| Barquisimeto | South America | 10.51 | 14 | 1.497× | ◆ .LEKOLA CORTEX™ ✓ |
| Barranca | South America | 9.3 | 17 | 1.326× | ◆ .LEKOLA CORTEX™ ✓ |
| Barranquilla | South America | 10.76 | 19 | 1.535× | ◆ .LEKOLA CORTEX™ ✓ |
| Belem | South America | 10.46 | 13 | 1.478× | ◆ .LEKOLA CORTEX™ ✓ |
| Belo Horizonte | South America | 9.91 | 14 | 1.443× | ◆ .LEKOLA CORTEX™ ✓ |
| Betim | South America | 10.74 | 23 | 1.564× | ◆ .LEKOLA CORTEX™ ✓ |
| Bogota | South America | 11.04 | 15 | 1.563× | ◆ .LEKOLA CORTEX™ ✓ |
| Brasilia | South America | 17.16 | 20 | 2.471× | ◆ .LEKOLA CORTEX™ ✓ |
| Bucaramanga | South America | 18.82 | 20 | 2.67× | ◆ .LEKOLA CORTEX™ ✓ |
| Buenos Aires | South America | 8.34 | 11 | 1.287× | ◆ .LEKOLA CORTEX™ ✓ |
| Cali | South America | 8.57 | 15 | 1.212× | ◆ .LEKOLA CORTEX™ ✓ |
| Campinas | South America | 9.86 | 18 | 1.449× | ◆ .LEKOLA CORTEX™ ✓ |
| Campo Grande | South America | 8.89 | 17 | 1.296× | ◆ .LEKOLA CORTEX™ ✓ |
| Campos | South America | 10.45 | 13 | 1.53× | ◆ .LEKOLA CORTEX™ ✓ |
| Canoas | South America | 9.01 | 15 | 1.361× | ◆ .LEKOLA CORTEX™ ✓ |
| Caracas | South America | 10.73 | 18 | 1.529× | ◆ .LEKOLA CORTEX™ ✓ |
| Carapicuiba | South America | 11.52 | 36 | 1.697× | ◆ .LEKOLA CORTEX™ ✓ |
| Cartagena | South America | 8.1 | 17 | 1.154× | ◆ .LEKOLA CORTEX™ ✓ |
| Caxias do Sul | South America | 10.91 | 13 | 1.642× | ◆ .LEKOLA CORTEX™ ✓ |
| Chiclayo | South America | 11.72 | 14 | 1.662× | ◆ .LEKOLA CORTEX™ ✓ |
| Ciudad Guayana | South America | 7.77 | 9 | 1.104× | ◆ .LEKOLA CORTEX™ ✓ |
| Ciudad del Este | South America | 10.26 | 17 | 1.522× | ◆ .LEKOLA CORTEX™ ✓ |
| Cochabamba | South America | 8.0 | 11 | 1.157× | ◆ .LEKOLA CORTEX™ ✓ |
| Comodoro Rivadavia | South America | 8.38 | 16 | 1.374× | ◆ .LEKOLA CORTEX™ ✓ |
| Concepcion | South America | 8.87 | 12 | 1.384× | ◆ .LEKOLA CORTEX™ ✓ |
| Concordia | South America | 36.57 | 14 | 5.558× | ◆ .LEKOLA CORTEX™ ✓ |
| Cordoba | South America | 8.13 | 15 | 1.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Corrientes | South America | 9.57 | 22 | 1.431× | ◆ .LEKOLA CORTEX™ ✓ |
| Cucuta | South America | 12.18 | 24 | 1.729× | ◆ .LEKOLA CORTEX™ ✓ |
| Cuenca | South America | 8.87 | 22 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Cuiaba | South America | 8.59 | 13 | 1.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Curitiba | South America | 7.4 | 18 | 1.097× | ◆ .LEKOLA CORTEX™ ✓ |
| Cusco | South America | 15.99 | 13 | 2.291× | ◆ .LEKOLA CORTEX™ ✓ |
| Diadema | South America | 10.47 | 20 | 1.543× | ◆ .LEKOLA CORTEX™ ✓ |
| Feira de Santana | South America | 11.35 | 17 | 1.622× | ◆ .LEKOLA CORTEX™ ✓ |
| Florianopolis | South America | 13.86 | 19 | 2.073× | ◆ .LEKOLA CORTEX™ ✓ |
| Formosa | South America | 10.56 | 10 | 1.571× | ◆ .LEKOLA CORTEX™ ✓ |
| Fortaleza | South America | 10.27 | 12 | 1.453× | ◆ .LEKOLA CORTEX™ ✓ |
| Georgetown | South America | 18.9 | 18 | 2.68× | ◆ .LEKOLA CORTEX™ ✓ |
| Goiania | South America | 10.42 | 24 | 1.504× | ◆ .LEKOLA CORTEX™ ✓ |
| Guarulhos | South America | 10.54 | 25 | 1.552× | ◆ .LEKOLA CORTEX™ ✓ |
| Guayaquil | South America | 12.69 | 14 | 1.794× | ◆ .LEKOLA CORTEX™ ✓ |
| Huancayo | South America | 10.69 | 14 | 1.527× | ◆ .LEKOLA CORTEX™ ✓ |
| Ibague | South America | 15.41 | 12 | 2.181× | ◆ .LEKOLA CORTEX™ ✓ |
| Iquique | South America | 29.07 | 16 | 4.236× | ◆ .LEKOLA CORTEX™ ✓ |
| Iquitos | South America | 7.03 | 11 | 0.995× | ◆ .LEKOLA CORTEX™ ✓ |
| Joao Pessoa | South America | 28.14 | 27 | 3.992× | ◆ .LEKOLA CORTEX™ ✓ |
| Joinville | South America | 9.32 | 22 | 1.387× | ◆ .LEKOLA CORTEX™ ✓ |
| Juiz de Fora | South America | 9.52 | 17 | 1.394× | ◆ .LEKOLA CORTEX™ ✓ |
| Jundiai | South America | 9.56 | 20 | 1.406× | ◆ .LEKOLA CORTEX™ ✓ |
| La Paz | South America | 13.23 | 20 | 1.908× | ◆ .LEKOLA CORTEX™ ✓ |
| La Plata | South America | 8.21 | 16 | 1.269× | ◆ .LEKOLA CORTEX™ ✓ |
| La Serena | South America | 8.18 | 13 | 1.235× | ◆ .LEKOLA CORTEX™ ✓ |
| Lima | South America | 11.22 | 19 | 1.603× | ◆ .LEKOLA CORTEX™ ✓ |
| Londrina | South America | 10.61 | 21 | 1.562× | ◆ .LEKOLA CORTEX™ ✓ |
| Macapa | South America | 8.64 | 13 | 1.221× | ◆ .LEKOLA CORTEX™ ✓ |
| Maceio | South America | 8.89 | 10 | 1.265× | ◆ .LEKOLA CORTEX™ ✓ |
| Manaus | South America | 8.87 | 16 | 1.254× | ◆ .LEKOLA CORTEX™ ✓ |
| Manizales | South America | 12.7 | 18 | 1.798× | ◆ .LEKOLA CORTEX™ ✓ |
| Mar del Plata | South America | 6.26 | 9 | 0.983× | ◆ .LEKOLA CORTEX™ ✓ |
| Maracaibo | South America | 10.64 | 15 | 1.517× | ◆ .LEKOLA CORTEX™ ✓ |
| Maracay | South America | 9.89 | 14 | 1.409× | ◆ .LEKOLA CORTEX™ ✓ |
| Maua | South America | 11.77 | 15 | 1.734× | ◆ .LEKOLA CORTEX™ ✓ |
| Medellin | South America | 13.72 | 35 | 1.945× | ◆ .LEKOLA CORTEX™ ✓ |
| Mendoza | South America | 7.71 | 9 | 1.18× | ◆ .LEKOLA CORTEX™ ✓ |
| Montes Claros | South America | 8.78 | 13 | 1.267× | ◆ .LEKOLA CORTEX™ ✓ |
| Montevideo | South America | 7.72 | 17 | 1.193× | ◆ .LEKOLA CORTEX™ ✓ |
| Natal | South America | 10.91 | 17 | 1.546× | ◆ .LEKOLA CORTEX™ ✓ |
| Neiva | South America | 10.3 | 12 | 1.457× | ◆ .LEKOLA CORTEX™ ✓ |
| Neuquen | South America | 11.82 | 12 | 1.864× | ◆ .LEKOLA CORTEX™ ✓ |
| Niteroi | South America | 7.81 | 12 | 1.148× | ◆ .LEKOLA CORTEX™ ✓ |
| Olinda | South America | 7.85 | 11 | 1.115× | ◆ .LEKOLA CORTEX™ ✓ |
| Osasco | South America | 9.5 | 19 | 1.399× | ◆ .LEKOLA CORTEX™ ✓ |
| Paramaribo | South America | 13.91 | 16 | 1.971× | ◆ .LEKOLA CORTEX™ ✓ |
| Parana | South America | 7.57 | 7 | 1.152× | ◆ .LEKOLA CORTEX™ ✓ |
| Pelotas | South America | 8.65 | 13 | 1.317× | ◆ .LEKOLA CORTEX™ ✓ |
| Pereira | South America | 9.34 | 12 | 1.322× | ◆ .LEKOLA CORTEX™ ✓ |
| Pereira Centro | South America | 9.46 | 12 | 1.339× | ◆ .LEKOLA CORTEX™ ✓ |
| Piracicaba | South America | 12.74 | 18 | 1.871× | ◆ .LEKOLA CORTEX™ ✓ |
| Piura | South America | 9.27 | 18 | 1.313× | ◆ .LEKOLA CORTEX™ ✓ |
| Porto Alegre | South America | 8.23 | 20 | 1.243× | ◆ .LEKOLA CORTEX™ ✓ |
| Posadas | South America | 16.04 | 23 | 2.397× | ◆ .LEKOLA CORTEX™ ✓ |
| Quito | South America | 11.09 | 23 | 1.567× | ◆ .LEKOLA CORTEX™ ✓ |
| Rancagua | South America | 7.14 | 10 | 1.099× | ◆ .LEKOLA CORTEX™ ✓ |
| Recife | South America | 7.14 | 10 | 1.014× | ◆ .LEKOLA CORTEX™ ✓ |
| Resistencia | South America | 7.12 | 8 | 1.064× | ◆ .LEKOLA CORTEX™ ✓ |
| Ribeirao Preto | South America | 10.94 | 21 | 1.599× | ◆ .LEKOLA CORTEX™ ✓ |
| Rio Cuarto | South America | 7.63 | 19 | 1.169× | ◆ .LEKOLA CORTEX™ ✓ |
| Rio de Janeiro | South America | 17.23 | 20 | 2.532× | ◆ .LEKOLA CORTEX™ ✓ |
| Rosario | South America | 27.96 | 30 | 4.28× | ◆ .LEKOLA CORTEX™ ✓ |
| Salta | South America | 8.97 | 24 | 1.327× | ◆ .LEKOLA CORTEX™ ✓ |
| Salvador | South America | 11.51 | 20 | 1.647× | ◆ .LEKOLA CORTEX™ ✓ |
| San Carlos de Bariloche | South America | 8.59 | 11 | 1.371× | ◆ .LEKOLA CORTEX™ ✓ |
| San Juan AR | South America | 11.52 | 16 | 1.752× | ◆ .LEKOLA CORTEX™ ✓ |
| San Luis | South America | 8.73 | 12 | 1.338× | ◆ .LEKOLA CORTEX™ ✓ |
| San Miguel de Tucuman | South America | 9.29 | 11 | 1.385× | ◆ .LEKOLA CORTEX™ ✓ |
| San Rafael | South America | 8.32 | 10 | 1.284× | ◆ .LEKOLA CORTEX™ ✓ |
| San Salvador de Jujuy | South America | 19.34 | 14 | 2.855× | ◆ .LEKOLA CORTEX™ ✓ |
| Santa Cruz de la Sierra | South America | 8.42 | 20 | 1.219× | ◆ .LEKOLA CORTEX™ ✓ |
| Santa Fe | South America | 6.71 | 6 | 1.021× | ◆ .LEKOLA CORTEX™ ✓ |
| Santiago | South America | 8.31 | 18 | 1.275× | ◆ .LEKOLA CORTEX™ ✓ |
| Santiago del Estero | South America | 9.56 | 17 | 1.431× | ◆ .LEKOLA CORTEX™ ✓ |
| Santo Andre | South America | 9.43 | 23 | 1.39× | ◆ .LEKOLA CORTEX™ ✓ |
| Santos | South America | 27.54 | 36 | 4.063× | ◆ .LEKOLA CORTEX™ ✓ |
| Sao Jose dos Campos | South America | 10.11 | 21 | 1.487× | ◆ .LEKOLA CORTEX™ ✓ |
| Sao Luis | South America | 9.72 | 16 | 1.374× | ◆ .LEKOLA CORTEX™ ✓ |
| Sao Paulo | South America | 9.56 | 23 | 1.408× | ◆ .LEKOLA CORTEX™ ✓ |
| Serra | South America | 10.52 | 16 | 1.533× | ◆ .LEKOLA CORTEX™ ✓ |
| Soacha | South America | 10.29 | 14 | 1.456× | ◆ .LEKOLA CORTEX™ ✓ |
| Soledad | South America | 10.98 | 10 | 1.566× | ◆ .LEKOLA CORTEX™ ✓ |
| Sorocaba | South America | 8.98 | 16 | 1.323× | ◆ .LEKOLA CORTEX™ ✓ |
| Sucre | South America | 13.98 | 13 | 2.03× | ◆ .LEKOLA CORTEX™ ✓ |
| Tandil | South America | 7.76 | 14 | 1.214× | ◆ .LEKOLA CORTEX™ ✓ |
| Temuco | South America | 7.41 | 11 | 1.168× | ◆ .LEKOLA CORTEX™ ✓ |
| Teresina | South America | 8.6 | 22 | 1.218× | ◆ .LEKOLA CORTEX™ ✓ |
| Trujillo | South America | 8.63 | 12 | 1.226× | ◆ .LEKOLA CORTEX™ ✓ |
| Uberlandia | South America | 8.83 | 18 | 1.282× | ◆ .LEKOLA CORTEX™ ✓ |
| Valencia VE | South America | 9.61 | 16 | 1.369× | ◆ .LEKOLA CORTEX™ ✓ |
| Valparaiso | South America | 11.59 | 12 | 1.775× | ◆ .LEKOLA CORTEX™ ✓ |
| Vila Velha | South America | 17.37 | 29 | 2.532× | ◆ .LEKOLA CORTEX™ ✓ |
| Villavicencio | South America | 9.4 | 12 | 1.33× | ◆ .LEKOLA CORTEX™ ✓ |
| Vitoria | South America | 8.3 | 21 | 1.21× | ◆ .LEKOLA CORTEX™ ✓ |
Source: live turn-by-turn test of 1,500 cities + an 8-bucket formal edge-case hunt + a Z3⨉Dafny adversarial closure (17 attack lines closed, 0 open). Engine: .LEKOLA CORTEX™. Drone, maritime & self-driving routing are separate APIs (API store).