Cities at the same latitude as
Nossa Senhora da Glória
Map
The red band shows the latitude range · switch between relief and streetsMatching Cities
| City | Country | Population | Latitude |
|---|---|---|---|
| Kolwezi | Democratic Republic of the Congo | 790,248 | -10.7148° |
| Kupang | Indonesia | 474,801 | -10.1708° |
| Rio Branco | Brazil | 419,452 | -9.9747° |
| Palmas | Brazil | 306,296 | -10.1675° |
| Mwene | Democratic Republic of the Congo | 295,683 | -9.8170° |
| Songea | Tanzania | 286,285 | -10.6833° |
| Arapiraca | Brazil | 243,906 | -9.7525° |
| Huánuco | Peru | 196,627 | -9.9288° |
| Kasama | Zambia | 179,636 | -10.2129° |
| Mtwara | Tanzania | 140,793 | -10.2667° |
| Itabaiana | Brazil | 103,440 | -10.6850° |
| Ariquemes | Brazil | 96,833 | -9.9133° |
| Lindi | Tanzania | 95,096 | -9.9971° |
| Masasi | Tanzania | 89,700 | -10.7167° |
| Senhor do Bonfim | Brazil | 79,424 | -10.4614° |
| Campo Formoso | Brazil | 71,487 | -10.5075° |
| Karonga | Malawi | 69,486 | -9.9333° |
| São Miguel dos Campos | Brazil | 61,797 | -9.7811° |
| Euclides da Cunha | Brazil | 61,456 | -10.5075° |
| Penedo | Brazil | 60,189 | -10.2903° |
| Cerro de Pasco | Peru | 58,899 | -10.6658° |
| Coruripe | Brazil | 57,294 | -10.1256° |
| Luau | Angola | 55,432 | -10.7073° |
| Porto Nacional | Brazil | 53,316 | -10.7081° |
| Paraíso do Tocantins | Brazil | 52,360 | -10.1761° |
| Cangandala | Angola | 52,220 | -9.7833° |
| Jaru | Brazil | 50,591 | -10.4389° |
| Fungurume | Democratic Republic of the Congo | 50,100 | -10.6177° |
| Monte Santo | Brazil | 47,780 | -10.4378° |
| Malemba | Democratic Republic of the Congo | 44,027 | -10.3781° |
| Calulo | Angola | 44,000 | -10.0006° |
| Buritis | Brazil | 40,356 | -10.2117° |
| Soe | Indonesia | 40,190 | -9.8607° |
| Teotônio Vilela | Brazil | 39,161 | -9.9097° |
| Chinsali | Zambia | 38,805 | -10.5414° |
| Sento Sé | Brazil | 38,154 | -9.7458° |
| Jeremoabo | Brazil | 37,626 | -10.0760° |
| Cansanção | Brazil | 37,439 | -10.6672° |
| Girau do Ponciano | Brazil | 36,102 | -9.8842° |
| Pilão Arcado | Brazil | 35,357 | -10.0005° |
| Poço Redondo | Brazil | 35,122 | -9.8050° |
| Capela | Brazil | 34,514 | -10.5033° |
| Itiúba | Brazil | 33,872 | -10.6917° |
| Jaguarari | Brazil | 33,746 | -10.2639° |
| Peixoto de Azevedo | Brazil | 33,599 | -10.2231° |
| Mussende | Angola | 33,558 | -10.5143° |
| São Sebastião | Brazil | 32,701 | -9.9336° |
| Cícero Dantas | Brazil | 32,576 | -10.6000° |
| Campo Alegre | Brazil | 32,106 | -9.7819° |
| Isoka | Zambia | 31,739 | -10.1606° |
| Confresa | Brazil | 31,510 | -10.6439° |
| Nova Mamoré | Brazil | 31,392 | -10.4019° |
| Guarantã do Norte | Brazil | 31,328 | -9.9505° |
| Kawambwa | Zambia | 31,161 | -9.7915° |
| Lukuledi | Tanzania | 29,699 | -10.5667° |
| Paripiranga | Brazil | 29,058 | -10.6875° |
| Santa Clara | Angola | 29,000 | -10.1916° |
| Porto da Folha | Brazil | 28,693 | -9.9172° |
| Chaupimarca | Peru | 28,666 | -10.4070° |
| Luwingu | Zambia | 28,436 | -10.2621° |
| Traipu | Brazil | 27,826 | -9.9706° |
| Paramonga | Peru | 27,631 | -10.6667° |
| Corrente | Brazil | 27,278 | -10.4433° |
| Propriá | Brazil | 26,618 | -10.2111° |
| Limoeiro de Anadia | Brazil | 25,197 | -9.7406° |
| Liwale | Tanzania | 25,000 | -9.7667° |
| Nossa Senhora das Dores | Brazil | 24,996 | -10.4917° |
| Junqueiro | Brazil | 24,381 | -9.9253° |
| Pão de Açúcar | Brazil | 24,351 | -9.7483° |
| Uauá | Brazil | 24,113 | -9.8414° |
| Yanacancha | Peru | 24,105 | -10.6659° |
| Poço Verde | Brazil | 23,867 | -10.7083° |
| Senador Guiomard | Brazil | 23,236 | -10.1497° |
| Feira Grande | Brazil | 23,191 | -9.9003° |
| Yanacancha | Peru | 23,175 | -10.2411° |
| Aripuanã | Brazil | 22,714 | -10.1765° |
| Carira | Brazil | 22,239 | -10.3608° |
| Aquidabã | Brazil | 21,681 | -10.2814° |
| Matupá | Brazil | 21,415 | -10.1693° |
| Igreja Nova | Brazil | 21,372 | -10.1253° |
| Buritirama | Brazil | 21,276 | -10.7078° |
| Nachingwea | Tanzania | 21,000 | -10.3725° |
| Porto Real do Colégio | Brazil | 20,112 | -10.1858° |
| Ruangwa | Tanzania | 20,000 | -10.0667° |
| Vila Rica | Brazil | 19,827 | -10.0117° |
| Nanyamba | Tanzania | 19,555 | -10.6833° |
| Maposeni | Tanzania | 19,472 | -10.5833° |
| Japaratuba | Brazil | 18,907 | -10.5933° |
| Lagoa da Canoa | Brazil | 18,831 | -9.8297° |
| Xapuri | Brazil | 18,243 | -10.6517° |
| Fátima | Brazil | 17,895 | -10.6000° |
| Nanganga | Tanzania | 17,468 | -10.3833° |
| Cambundi Catembo | Angola | 17,212 | -10.0753° |
| Adustina | Brazil | 17,126 | -10.5333° |
| Ribeirópolis | Brazil | 17,033 | -10.5394° |
| Carmópolis | Brazil | 16,937 | -10.6481° |
| Plácido de Castro | Brazil | 16,560 | -10.3353° |
| Neópolis | Brazil | 16,426 | -10.3200° |
| Nyangao | Tanzania | 16,343 | -10.3333° |
| Alto Paraíso | Brazil | 16,320 | -9.7228° |
| Kitama | Tanzania | 16,232 | -10.7167° |
| Piaçabuçu | Brazil | 16,201 | -10.4056° |
| Huarmey | Peru | 16,172 | -10.0681° |
| Canudos | Brazil | 16,105 | -9.8967° |
| Mwansabombwe | Zambia | 16,077 | -9.8220° |
| Monte Negro | Brazil | 16,007 | -10.2944° |
| Coronel João Sá | Brazil | 15,717 | -10.2842° |
| Mlangali | Tanzania | 15,168 | -9.7833° |
| Andorinha | Brazil | 15,012 | -10.3447° |
| Mahanje | Tanzania | 15,009 | -9.9333° |
| Frei Paulo | Brazil | 14,530 | -10.5494° |
| Monte Alegre de Sergipe | Brazil | 14,336 | -10.0272° |
| Antas | Brazil | 14,206 | -10.4118° |
| Nova Bandeirantes | Brazil | 14,160 | -9.8497° |
| Santa Brígida | Brazil | 14,063 | -9.7361° |
| Acrelândia | Brazil | 14,021 | -9.8278° |
| Pedro Alexandre | Brazil | 13,954 | -10.0125° |
| Mansidão | Brazil | 13,734 | -10.7164° |
| Pativilca | Peru | 13,583 | -10.7000° |
| Cacolo | Angola | 13,498 | -10.1450° |
| Japoatã | Brazil | 13,429 | -10.3467° |
| Bujari | Brazil | 12,917 | -9.8306° |
| Malhador | Brazil | 12,653 | -10.6578° |
| Mungwi | Zambia | 12,536 | -10.1732° |
| Madimba | Tanzania | 12,507 | -10.4000° |
| Pacatuba | Brazil | 12,502 | -10.4533° |
| Heliópolis | Brazil | 12,309 | -10.6833° |
| Capixaba | Brazil | 12,008 | -10.5728° |
| Oxapampa | Peru | 12,000 | -10.5775° |
| Banzaê | Brazil | 11,958 | -10.5769° |
| Mtama | Tanzania | 11,928 | -10.3000° |
| Mbekenyera | Tanzania | 11,794 | -10.0000° |
| Nova Canaã do Norte | Brazil | 11,771 | -10.6378° |
| Gararu | Brazil | 11,601 | -9.9675° |
| Vale do Anari | Brazil | 11,377 | -9.8574° |
| Curimatá | Brazil | 11,270 | -10.0364° |
| Gilbués | Brazil | 11,166 | -9.8317° |
| Moita Bonita | Brazil | 11,050 | -10.5775° |
| Kitangari | Tanzania | 10,956 | -10.6500° |
| Avelino Lopes | Brazil | 10,866 | -10.1367° |
| Antônio Gonçalves | Brazil | 10,862 | -10.5715° |
| Monte Alegre do Piauí | Brazil | 10,660 | -9.7539° |
| Novo Triunfo | Brazil | 10,660 | -10.3350° |
| Terra Nova do Norte | Brazil | 10,641 | -10.5169° |
| Mingoyo | Tanzania | 10,480 | -10.1053° |
| Cotriguaçu | Brazil | 10,398 | -9.9023° |
| Carlinda | Brazil | 10,324 | -9.9581° |
| Juruena | Brazil | 10,149 | -10.3181° |
| Parnaguá | Brazil | 10,103 | -10.2275° |
| Alotau | Papua New Guinea | 10,025 | -10.3151° |
| Flexeiras | Brazil | 9,767 | -10.3323° |
| Sítio do Quinto | Brazil | 9,701 | -10.3657° |
| Jequiá da Praia | Brazil | 9,625 | -10.0110° |
| Rosário do Catete | Brazil | 9,295 | -10.6961° |
| Nossa Senhora Aparecida | Brazil | 9,232 | -10.4425° |
| Campo Novo de Rondônia | Brazil | 8,844 | -10.5969° |
| Nova Monte Verde | Brazil | 8,451 | -9.9822° |
| Manda | Tanzania | 8,393 | -10.4667° |
| Ilha das Flores | Brazil | 8,321 | -10.4364° |
| Campo Grande | Brazil | 8,293 | -10.2333° |
| Barra de São Miguel | Brazil | 8,118 | -9.8400° |
| Theobroma | Brazil | 8,113 | -10.2389° |
| Governador Jorge Teixeira | Brazil | 8,001 | -10.5250° |
| Muconda | Angola | 8,000 | -10.5924° |
| Brejo Grande | Brazil | 7,841 | -10.4294° |
| Siriri | Brazil | 7,834 | -10.6039° |
| Muribeca | Brazil | 7,822 | -10.4272° |
| Santa Terezinha | Brazil | 7,720 | -10.4706° |
| Pium | Brazil | 7,375 | -10.4425° |
| Cristalândia do Piauí | Brazil | 7,356 | -10.6511° |
| Santana do São Francisco | Brazil | 7,346 | -10.2911° |
| Divinópolis do Tocantins | Brazil | 7,297 | -9.7997° |
| Ambo | Peru | 6,865 | -10.1308° |
| Macambira | Brazil | 6,838 | -10.6664° |
| Roteiro | Brazil | 6,607 | -9.8328° |
| São Brás | Brazil | 6,557 | -10.1278° |
| Vale do Paraíso | Brazil | 6,479 | -10.4478° |
| Novo Mundo | Brazil | 6,444 | -9.9503° |
| Cristalândia | Brazil | 6,437 | -10.6003° |
| Paragsha- San Andres - Jose Carlos Mariategui | Peru | 6,316 | -10.6715° |
| Oyón | Peru | 6,276 | -10.6685° |
| Nossa Senhora de Lourdes | Brazil | 6,268 | -10.0794° |
| Extrema | Brazil | 6,176 | -9.7714° |
| Yanahuanca | Peru | 5,992 | -10.5167° |
| Feira Nova | Brazil | 5,975 | -10.2642° |
| Belo Monte | Brazil | 5,898 | -9.8283° |
| Gracho Cardoso | Brazil | 5,834 | -10.2267° |
| Pinhão | Brazil | 5,677 | -10.5672° |
| Livingstonia | Malawi | 5,552 | -10.6060° |
| Cedro de São João | Brazil | 5,391 | -10.2517° |
| Júlio Borges | Brazil | 5,388 | -10.3274° |
| San Miguel de Cauri | Peru | 5,326 | -10.1382° |
| Aparecida do Rio Negro | Brazil | 5,067 | -9.9517° |
About latitude comparisons
When comparing cities at the same latitude, such as Nossa Senhora da Glória 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 Nossa Senhora da Glória's parallel (-10.2183°), which covers roughly 55 kilometers (34 miles) north or south of its exact coordinate.
Frequently asked questions
What is the longitude of Nossa Senhora da Glória?
Nossa Senhora da Glória is located at longitude 37.4203° W. Among cities within ±0.5° of the same meridian, Aracaju (Brazil), at 37.0717° W in the Southern Hemisphere.
How close are these cities to Nossa Senhora da Glória’s latitude?
Each listed city has a stored latitude between -10.71833° and -9.71833°, the ±0.5° matching band around Nossa Senhora da Glória.
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.