SameLatitude
Cities at the same latitude as
Monsenhor Tabosa
Map
The red band shows the latitude range · switch between relief and streets
Lat: -4.7894°
Lng: -40.0633°
Pop: 17,149
Time Zone: America/Fortaleza
Matching Cities
| City | Country | Population | Latitude |
|---|---|---|---|
| Kinshasa | Democratic Republic of the Congo | 16,000,000 | -4.3276° |
| Makassar | Indonesia | 1,474,393 | -5.1486° |
| Pointe-Noire | Republic of the Congo | 1,032,000 | -4.7761° |
| Teresina | Brazil | 871,126 | -5.0892° |
| Piura | Peru | 630,000 | -5.1819° |
| Kikwit | Democratic Republic of the Congo | 509,367 | -5.0410° |
| Masina | Democratic Republic of the Congo | 485,167 | -4.3836° |
| Tanga | Tanzania | 393,429 | -5.0689° |
| Tabora | Tanzania | 308,741 | -5.0162° |
| Mossoró | Brazil | 264,577 | -5.1875° |
| Kasulu | Tanzania | 238,321 | -4.5767° |
| Singida | Tanzania | 232,459 | -4.8163° |
| Kigoma | Tanzania | 232,388 | -4.8769° |
| Metro | Indonesia | 182,293 | -5.1131° |
| Timon | Brazil | 174,465 | -5.0942° |
| Caxias | Brazil | 163,546 | -4.8589° |
| Sullana | Peru | 160,789 | -4.9039° |
| Watampone | Indonesia | 149,336 | -4.5386° |
| Timika | Indonesia | 142,909 | -4.6141° |
| Mbanza-Ngungu | Democratic Republic of the Congo | 142,773 | -5.2584° |
| San Martin | Peru | 130,000 | -5.1859° |
| Ilebo | Democratic Republic of the Congo | 117,245 | -4.3311° |
| Inkisi | Democratic Republic of the Congo | 115,317 | -5.1312° |
| Codó | Brazil | 114,275 | -4.4553° |
| Açailândia | Brazil | 110,611 | -4.9467° |
| Talara | Peru | 99,074 | -4.5772° |
| Quixadá | Brazil | 88,321 | -4.9714° |
| Idiofa | Democratic Republic of the Congo | 87,882 | -4.9659° |
| Quixeramobim | Brazil | 82,177 | -5.1992° |
| Kasongo | Democratic Republic of the Congo | 81,629 | -4.4274° |
| Bulungu | Democratic Republic of the Congo | 81,393 | -4.5444° |
| Mweka | Democratic Republic of the Congo | 81,267 | -4.8519° |
| Kondoa | Tanzania | 80,443 | -4.9000° |
| Russas | Brazil | 78,882 | -4.9403° |
| Ukunda | Kenya | 77,686 | -4.2929° |
| Canindé | Brazil | 77,244 | -4.3589° |
| Crateús | Brazil | 75,159 | -5.1778° |
| Raha | Indonesia | 69,980 | -4.8380° |
| Chulucanas | Peru | 68,835 | -5.0925° |
| Tshela | Democratic Republic of the Congo | 64,210 | -4.9971° |
| Korogwe | Tanzania | 62,032 | -5.1500° |
| Morada Nova | Brazil | 61,738 | -5.1067° |
| Novo Repartimento | Brazil | 60,438 | -4.3306° |
| Limoeiro do Norte | Brazil | 59,890 | -5.1456° |
| Jacundá | Brazil | 59,842 | -4.4470° |
| Catacaos | Peru | 57,304 | -5.2667° |
| Paita | Peru | 56,151 | -5.0892° |
| Buriticupu | Brazil | 55,499 | -4.3212° |
| Boa Viagem | Brazil | 54,577 | -5.1275° |
| Itupiranga | Brazil | 53,355 | -5.1347° |
| Rondon do Pará | Brazil | 52,803 | -4.7761° |
| Terbanggi Besar | Indonesia | 52,566 | -4.8790° |
| Chake Chake | Tanzania | 52,047 | -5.2459° |
| Lusambo | Democratic Republic of the Congo | 49,376 | -4.9750° |
| Altos | Brazil | 47,453 | -5.0381° |
| Campo Maior | Brazil | 46,893 | -4.8278° |
| União | Brazil | 46,119 | -4.5858° |
| Masi-Manimba | Democratic Republic of the Congo | 45,775 | -4.7755° |
| Kasangulu | Democratic Republic of the Congo | 45,400 | -4.5833° |
| Lago da Pedra | Brazil | 44,403 | -4.5603° |
| Aracati | Brazil | 44,293 | -4.5617° |
| Benjamin Constant | Brazil | 43,935 | -4.3756° |
| Santa Quitéria | Brazil | 43,711 | -4.3319° |
| Kotabumi | Indonesia | 42,366 | -4.8251° |
| Tuntum | Brazil | 42,040 | -5.2581° |
| Borba | Brazil | 41,748 | -4.3914° |
| Ipu | Brazil | 41,081 | -4.3222° |
| Buco Zau | Angola | 40,953 | -4.7667° |
| Sinjai | Indonesia | 40,797 | -5.1241° |
| José de Freitas | Brazil | 39,336 | -4.7564° |
| Nguruka | Tanzania | 39,135 | -5.1092° |
| Pedro II | Brazil | 37,894 | -4.4247° |
| Pedreiras | Brazil | 37,050 | -4.5689° |
| Ipueiras | Brazil | 36,798 | -4.5417° |
| Wete | Tanzania | 35,951 | -5.0559° |
| Baturité | Brazil | 35,218 | -4.3286° |
| Lushoto | Tanzania | 34,000 | -4.7833° |
| Touros | Brazil | 33,035 | -5.1989° |
| Tumbi | Tanzania | 32,900 | -5.0667° |
| Nova Russas | Brazil | 32,408 | -4.7067° |
| Macau | Brazil | 32,039 | -5.1150° |
| Katobu | Indonesia | 31,929 | -4.8299° |
| Urambo | Tanzania | 31,752 | -5.0667° |
| Jaguaruana | Brazil | 31,701 | -4.8339° |
| Tabuleiro do Norte | Brazil | 30,807 | -5.2467° |
| Mambali | Tanzania | 30,398 | -4.5500° |
| Tambo Grande | Peru | 30,033 | -4.9269° |
| Maros | Indonesia | 30,000 | -5.0060° |
| Bom Jesus das Selvas | Brazil | 28,599 | -4.4835° |
| Carauari | Brazil | 28,508 | -4.8828° |
| Loutété | Republic of the Congo | 27,726 | -4.2961° |
| Madang | Papua New Guinea | 27,419 | -5.2215° |
| Baraúna | Brazil | 26,913 | -5.0800° |
| Mtinko | Tanzania | 26,725 | -4.5500° |
| Maramba | Tanzania | 26,531 | -5.0500° |
| Kokopo | Papua New Guinea | 26,273 | -4.3432° |
| Tamboril | Brazil | 26,225 | -4.8322° |
| Novo Aripuanã | Brazil | 26,046 | -5.1206° |
| Sepuka | Tanzania | 25,657 | -4.7500° |
| Marcavelica | Peru | 25,645 | -4.8778° |
| Aracoiaba | Brazil | 25,553 | -4.3711° |
| Arame | Brazil | 25,517 | -4.8858° |
| Querecotillo | Peru | 25,396 | -4.8378° |
| Requena | Peru | 25,300 | -5.0608° |
| Shelui | Tanzania | 24,817 | -4.3667° |
| Uvinza | Tanzania | 24,650 | -5.1036° |
| Ocara | Brazil | 24,493 | -4.4908° |
| Belize | Angola | 24,430 | -4.6500° |
| Areia Branca | Brazil | 24,093 | -4.9561° |
| Aldeias Altas | Brazil | 23,286 | -4.6278° |
| Loandjili | Republic of the Congo | 23,204 | -4.7561° |
| Dom Pedro | Brazil | 23,053 | -5.0383° |
| Victoria | Seychelles | 22,881 | -4.6200° |
| Igugunu | Tanzania | 22,810 | -4.5667° |
| Itinga do Maranhão | Brazil | 22,513 | -4.4497° |
| Trizidela do Vale | Brazil | 22,484 | -4.5719° |
| Quixeré | Brazil | 22,293 | -5.0742° |
| Katesh | Tanzania | 21,462 | -4.5248° |
| Icapuí | Brazil | 21,433 | -4.7131° |
| Hedaru | Tanzania | 21,000 | -4.5000° |
| Basotu | Tanzania | 20,937 | -4.3667° |
| Mazinde | Tanzania | 20,534 | -4.8000° |
| Itapiúna | Brazil | 20,520 | -4.5644° |
| Peritoró | Brazil | 20,479 | -4.3833° |
| Itatira | Brazil | 20,424 | -4.5289° |
| Paulo Ramos | Brazil | 20,341 | -4.4477° |
| Chorozinho | Brazil | 20,274 | -4.3003° |
| Matui | Tanzania | 20,241 | -4.8000° |
| Hidrolândia | Brazil | 20,053 | -4.4080° |
| Muheza | Tanzania | 20,000 | -5.1667° |
| Madalena | Brazil | 19,864 | -4.8572° |
| Ikungi | Tanzania | 19,692 | -5.1333° |
| Nangwa | Tanzania | 18,595 | -4.4667° |
| Esperantinópolis | Brazil | 18,311 | -4.8770° |
| São Luís Gonzaga do Maranhão | Brazil | 18,153 | -4.3788° |
| Croatá | Brazil | 18,133 | -4.4159° |
| Capistrano | Brazil | 17,786 | -4.4700° |
| Ilongero | Tanzania | 17,342 | -4.6667° |
| Poção de Pedras | Brazil | 17,161 | -4.7518° |
| Bom Jesus do Tocantins | Brazil | 17,118 | -5.0514° |
| Puma | Tanzania | 17,092 | -5.0000° |
| São João do Soter | Brazil | 16,889 | -5.1139° |
| Cariamanga | Ecuador | 16,862 | -4.3280° |
| Nova Ipixuna | Brazil | 16,854 | -4.9211° |
| Mwandiga | Tanzania | 16,822 | -4.8300° |
| Mungaa | Tanzania | 16,715 | -4.9667° |
| Fortim | Brazil | 16,631 | -4.4519° |
| Atalaia do Norte | Brazil | 15,892 | -4.3665° |
| Mlalo | Tanzania | 15,576 | -4.9333° |
| Makuyuni | Tanzania | 15,516 | -4.7333° |
| Mabama | Tanzania | 15,320 | -5.1333° |
| Guamaré | Brazil | 15,295 | -5.1075° |
| Trairão | Brazil | 15,242 | -4.5744° |
| Cacongo | Angola | 15,000 | -5.2386° |
| Msambweni | Kenya | 14,951 | -4.4619° |
| Joselândia | Brazil | 14,924 | -4.9875° |
| Cidelândia | Brazil | 14,777 | -5.1742° |
| Nauta | Peru | 14,646 | -4.5056° |
| Endasak | Tanzania | 14,576 | -4.4167° |
| Ndungu | Tanzania | 14,545 | -4.3667° |
| Santo Antônio dos Lopes | Brazil | 14,522 | -4.8667° |
| Alto Longá | Brazil | 14,339 | -5.2511° |
| São Pedro da Água Branca | Brazil | 14,338 | -5.0850° |
| Salinera Colán | Peru | 14,210 | -5.0333° |
| Ibaretama | Brazil | 13,369 | -4.8207° |
| Serra do Mel | Brazil | 13,091 | -5.1700° |
| Macará | Ecuador | 13,035 | -4.3818° |
| Ndago | Tanzania | 13,012 | -4.6000° |
| Sawa Sawa | Kenya | 12,975 | -4.4717° |
| Mwanga | Tanzania | 12,846 | -4.8000° |
| Ibicuitinga | Brazil | 12,629 | -4.9739° |
| Alto do Rodrigues | Brazil | 12,484 | -5.2883° |
| Bom Lugar | Brazil | 12,414 | -4.3720° |
| Kinkala | Republic of the Congo | 12,411 | -4.3586° |
| Soni | Tanzania | 12,402 | -4.8500° |
| Choró | Brazil | 12,380 | -4.8433° |
| Kaliua | Tanzania | 12,362 | -5.0606° |
| Morropón | Peru | 12,307 | -5.1868° |
| Pendências | Brazil | 12,278 | -5.2600° |
| Poranga | Brazil | 12,065 | -4.7447° |
| Ipaporanga | Brazil | 11,596 | -4.9000° |
| Lagoa Grande do Maranhão | Brazil | 11,411 | -4.9911° |
| Capinzal do Norte | Brazil | 11,374 | -4.7283° |
| Lima Campos | Brazil | 11,297 | -4.5167° |
| Aratuba | Brazil | 11,224 | -4.4183° |
| Capitão de Campos | Brazil | 11,100 | -4.4567° |
| Ararendá | Brazil | 10,959 | -4.7528° |
| Rio do Fogo | Brazil | 10,672 | -5.2728° |
| Mulungu | Brazil | 10,569 | -4.3056° |
| San Lorenzo | Peru | 10,500 | -4.8167° |
| Catunda | Brazil | 10,376 | -4.6478° |
| Vila Nova dos Martírios | Brazil | 10,362 | -5.1844° |
| Tabubil | Papua New Guinea | 10,270 | -5.2738° |
| Governador Archer | Brazil | 10,231 | -5.0222° |
| Igarapé Grande | Brazil | 10,231 | -4.6630° |
| São Miguel do Gostoso | Brazil | 10,221 | -5.1228° |
| Cabeceiras do Piauí | Brazil | 10,212 | -4.4761° |
| Senador Alexandre Costa | Brazil | 10,207 | -5.2564° |
| Grossos | Brazil | 9,924 | -4.9797° |
| Majengo | Tanzania | 9,874 | -5.1500° |
| San Lucas ( Pueblo Nuevo de Colan) | Peru | 9,874 | -4.9087° |
| Micheweni | Tanzania | 9,838 | -4.9667° |
| Palhano | Brazil | 9,671 | -4.7453° |
| Konde | Tanzania | 9,530 | -4.9500° |
| Lago do Junco | Brazil | 9,506 | -4.6059° |
| Makanya | Tanzania | 9,505 | -4.3667° |
| Sigefredo Pacheco | Brazil | 9,460 | -4.9141° |
| Las Lomas | Peru | 9,450 | -4.6533° |
| Brejo de Areia | Brazil | 9,218 | -4.3309° |
| Lagunas | Peru | 9,197 | -5.2269° |
| São Francisco do Brejão | Brazil | 9,051 | -5.1228° |
| Magomeni | Tanzania | 8,944 | -5.2333° |
| Nzassi | Republic of the Congo | 8,585 | -4.9811° |
| Huancabamba | Peru | 8,553 | -5.2386° |
| La Huaca | Peru | 8,468 | -4.9117° |
| Kihurio | Tanzania | 8,377 | -4.4667° |
| Lagoa Alegre | Brazil | 8,256 | -4.5156° |
| Buenos Aires | Peru | 7,932 | -5.2671° |
| San Ignacio | Peru | 7,912 | -5.1458° |
| La Legua - San Jacinto | Peru | 7,548 | -5.2358° |
| Itaiçaba | Brazil | 7,536 | -4.6744° |
| Usoke | Tanzania | 7,295 | -5.1667° |
| Cascade | Seychelles | 7,263 | -4.6692° |
| Marajá do Sena | Brazil | 7,027 | -4.6236° |
| São José dos Basílios | Brazil | 6,957 | -5.0511° |
| Boa Hora | Brazil | 6,902 | -4.4052° |
| Boqueirão do Piauí | Brazil | 6,545 | -4.4873° |
| Milton Brandão | Brazil | 6,542 | -4.7026° |
| Kenyam | Indonesia | 6,394 | -4.5997° |
| Lagoa de São Francisco | Brazil | 6,331 | -4.3931° |
| Caiçara do Norte | Brazil | 6,293 | -5.0625° |
| Perseverance | Seychelles | 6,209 | -4.6045° |
| Abel Figueiredo | Brazil | 6,136 | -4.9536° |
| Jutaí | Brazil | 5,862 | -5.1833° |
| São João do Jaguaribe | Brazil | 5,855 | -5.2711° |
| Bernardo do Mearim | Brazil | 5,840 | -4.6293° |
| La Matanza | Peru | 5,828 | -5.2133° |
| Barranca | Peru | 5,779 | -4.8330° |
| São Raimundo do Doca Bezerra | Brazil | 5,650 | -5.1047° |
| Nuevo Sullana | Peru | 5,484 | -4.9211° |
| Salitral | Peru | 5,385 | -4.8572° |
| Tibau | Brazil | 5,382 | -4.8372° |
| Ayabaca | Peru | 5,270 | -4.6398° |
| Nossa Senhora de Nazaré | Brazil | 5,228 | -4.6335° |
| Porto do Mangue | Brazil | 5,228 | -5.0678° |
| Gazi | Kenya | 5,222 | -4.4240° |
| Juazeiro do Piauí | Brazil | 5,214 | -5.1737° |
| Baie Sainte Anne | Seychelles | 5,063 | -4.3200° |
About latitude comparisons
When comparing cities at the same latitude, such as Monsenhor Tabosa and its global counterparts, it is important to remember that while they share identical daylight hours and similar solar angles throughout the year, their climates may differ drastically. Factors including elevation, proximity to oceans, and dominant wind patterns shape the local environment just as much as solar positioning.
The results shown here are cities located within ±0.5 degrees of Monsenhor Tabosa's parallel (-4.7894°), which covers roughly 55 kilometers (34 miles) north or south of its exact coordinate.
Frequently asked questions
How close are these cities to Monsenhor Tabosa’s latitude?
Each listed city has a stored latitude between -5.28944° and -4.28944°, the ±0.5° matching band around Monsenhor Tabosa.
Does this map show exact city boundaries?
No. Map markers and latitude values use city reference coordinates. They help compare locations on a parallel, but do not represent municipal boundaries.
Do these cities share the same climate?
Not necessarily. Latitude is only one influence on climate; altitude, coastlines, ocean currents and local terrain also matter.