Mexico cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 15 January 2025.
This is the best list of 224690 cities in the Mexico available in 4 formats ( CSV, Json, SQL, XML ). We have cleaned up the Geoname database to leave only the towns, capitals and villages. All are all associated with regions and sub-regions (where available).
Each file contains the following data: Geoname_ID, City, Alternate_Name, Country_Code, Region, Sub_region, Latitude, Longitude, Elevation, Population, Timezone, Fcode_Name. See the FAQ below for a detailed explanation.
Here is an example of the data from the Mexico file that you are going to retrieve. The data is displayed here in the form of a table:
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
3983772 | Santa Susana | Rancho Santa Susana,Santa Susana | MX | Durango | Canatlán | 24.73585 | -104.93083 | 0 | America/Monterrey | populated place | |
8914396 | El Auxilio | El Auxilio | MX | Tamaulipas | Soto la Marina | 23.32833 | -97.85639 | 13 | America/Monterrey | populated place | |
8872384 | Zacatepec | Zacatepec | MX | Puebla | Huejotzingo | 19.12611 | -98.36917 | 195 | America/Mexico_City | populated place | |
8686295 | Los Laureles | Los Laureles | MX | Tamaulipas | Llera | 23.46361 | -98.97861 | 3 | America/Monterrey | populated place | |
8861951 | San Lucas | San Lucas | MX | México | Villa del Carbón | 19.71222 | -99.455 | 622 | America/Mexico_City | populated place | |
8900676 | Las Parritas | Las Parritas | MX | Jalisco | Tequila | 20.9275 | -103.8225 | 26 | America/Mexico_City | populated place | |
4013839 | Cieneguilla | Cieneguilla | MX | Chihuahua | Gran Morelos | 28.37543 | -106.64681 | 111 | America/Chihuahua | populated place | |
8887942 | Agua Azul | Agua Azul | MX | Veracruz | Coxquihui | 20.23472 | -97.52417 | 61 | America/Mexico_City | populated place | |
8901435 | El Saltillero Uno | El Saltillero Uno | MX | Nuevo León | Montemorelos | 25.23917 | -99.94194 | 25 | America/Monterrey | populated place | |
3532034 | Buena Vista | Buena Vista,Buenavista | MX | Veracruz | Soledad de Doblado | 19.06844 | -96.55389 | 0 | America/Mexico_City | populated place | |
9187548 | El Chaparral | El Chaparral | MX | Sinaloa | Culiacán | 24.59772 | -107.18962 | 0 | America/Mazatlan | populated place | |
8901241 | Maravillas | Maravillas | MX | Hidalgo | Cuautepec de Hinojosa | 19.91111 | -98.36833 | 25 | America/Mexico_City | populated place | |
4015574 | Canutillo | Canutillo | MX | Coahuila | Saltillo | 24.76705 | -101.4686 | 0 | America/Monterrey | populated place | |
8928796 | Marcos Guillén | Marcos Guillen,Marcos Guillén | MX | Chiapas | Pijijiapan | 15.52139 | -93.0575 | 7 | America/Mexico_City | populated place | |
8918252 | Arroyo de los Tepetates | Arroyo de los Tepetates | MX | Querétaro | Querétaro | 20.76389 | -100.46306 | 11 | America/Mexico_City | populated place | |
9080497 | Los Capulines | Los Capulines | MX | Hidalgo | Almoloya | 19.71916 | -98.41919 | 0 | America/Mexico_City | populated place | |
4013831 | Cieneguillas | MX | Jalisco | Ayutla | 20.1361 | -104.54481 | 0 | America/Mexico_City | populated place | ||
8942167 | Los Chapiles | Los Chapiles | MX | Michoacán | Coalcomán de Vázquez Pallares | 18.58472 | -103.24389 | 5 | America/Mexico_City | populated place | |
8923422 | La Concha | La Concha | MX | Oaxaca | Villa de Tututepec de Melchor Ocampo | 16.05694 | -97.58222 | 9 | America/Mexico_City | populated place | |
8895874 | Picachos | Picachos | MX | Durango | San Dimas | 23.71806 | -105.81252 | 35 | America/Monterrey | populated place | |
9262896 | Los Cuadros | Los Cuadros | MX | Zacatecas | Villa de Cos | 23.31894 | -102.43382 | 0 | America/Mexico_City | populated place | |
8915456 | Los Chávez | Los Chavez,Los Chávez | MX | Hidalgo | Pachuca de Soto | 20.13167 | -98.74139 | 12 | America/Mexico_City | populated place | |
3977507 | El Retoño | El Retono,El Retoño | MX | Durango | 25.74141 | -103.33456 | 0 | America/Monterrey | populated place | ||
9098520 | San Agustín | San Agustin,San Agustín | MX | Veracruz | Tantoyuca | 21.34629 | -98.35461 | 0 | America/Mexico_City | populated place | |
8915782 | Santa Mónica (La Hoya) | Santa Monica (La Hoya),Santa Mónica (La Hoya) | MX | Michoacán | Nuevo Parangaricutiro | 19.41 | -102.14139 | 12 | America/Mexico_City | populated place | |
9270076 | Los Rincón | Los Rincon,Los Rincón | MX | Jalisco | Mezquitic | 22.14824 | -104.07366 | 0 | America/Mexico_City | populated place | |
8927971 | El Laurel | El Laurel | MX | Zacatecas | Tlaltenango de Sánchez Román | 21.85278 | -103.12667 | 8 | America/Mexico_City | populated place | |
8947923 | El Cusal | El Cusal | MX | Chihuahua | Chínipas | 27.6538 | -108.32716 | 4 | America/Chihuahua | populated place | |
8915229 | El Capulín | El Capulin,El Capulín | MX | Durango | San Dimas | 24.2 | -105.97198 | 12 | America/Monterrey | populated place | |
11602790 | Los Órganos | Los Organos,Los Órganos | MX | Chiapas | 16.60093 | -93.64541 | 0 | America/Mexico_City | populated place | ||
8915612 | La Barranca del Espíritu Santo | La Barranca del Espiritu Santo,La Barranca del Espíritu Santo | MX | Jalisco | Techaluta de Montenegro | 20.13028 | -103.56583 | 12 | America/Mexico_City | populated place | |
8914066 | El Mirador | El Mirador | MX | Oaxaca | Tamazulápam del Espíritu Santo | 17.05139 | -96.08028 | 13 | America/Mexico_City | populated place | |
9191566 | Chico Ruiz | Chico Ruiz | MX | Sinaloa | Mocorito | 25.08459 | -107.74421 | 0 | America/Mazatlan | populated place | |
3827264 | San Miguel Totocuitlapilco | San Miguel Totocuitlapilco | MX | México | Metepec | 19.22889 | -99.59417 | 8207 | America/Mexico_City | populated place | |
3816367 | El Cedro | El Cedro | MX | Chiapas | Benemérito de las Américas | 16.42349 | -90.42576 | 0 | America/Mexico_City | populated place | |
8863200 | Nuevo Jericó | Nuevo Jerico,Nuevo Jericó | MX | Chiapas | Palenque | 17.13167 | -91.54278 | 506 | America/Mexico_City | populated place | |
8925984 | Cañada Ancha | Canada Ancha,Cañada Ancha | MX | Jalisco | Encarnación de Díaz | 21.6075 | -102.27444 | 8 | America/Mexico_City | populated place | |
3819038 | El Mirador | El Mirador | MX | Puebla | Ajalpan | 18.41746 | -97.09298 | 0 | America/Mexico_City | populated place | |
9084958 | El Charro Negro | El Charro Negro | MX | Yucatán | Tizimín | 21.47551 | -87.69743 | 0 | America/Merida | populated place | |
10266621 | Los Reyes | Los Reyes | MX | Nuevo León | Cerralvo | 26.13617 | -99.76338 | 0 | America/Monterrey | populated place | |
3531536 | Carmen Rosaldo | MX | Veracruz | Moloacán | 17.91667 | -94.31667 | 0 | America/Mexico_City | populated place | ||
8945566 | La Viuda (Rancho Ortiz) | La Viuda (Rancho Ortiz) | MX | Zacatecas | Fresnillo | 22.92333 | -103.08389 | 5 | America/Mexico_City | populated place | |
3529527 | Ejido Purificación | MX | Tamaulipas | Hidalgo | 24.01184 | -99.47631 | 0 | America/Monterrey | populated place | ||
8758507 | El Recodo | El Recodo | MX | Sonora | Moctezuma | 29.73167 | -109.60333 | 0 | America/Hermosillo | populated place | |
9504304 | La Providencia | La Providencia | MX | Durango | Durango | 24.00551 | -104.63809 | 0 | America/Monterrey | populated place | |
8859739 | Concentración 5 de Febrero | Concentracion 5 de Febrero,Concentración 5 de Febrero | MX | Sinaloa | Sinaloa | 25.85639 | -108.62944 | 1080 | America/Mazatlan | populated place | |
3985565 | San Marcos | San Marcos | MX | Nuevo León | Galeana | 24.70077 | -100.08048 | 224 | America/Monterrey | populated place | |
4014628 | Chihuapa | MX | Guanajuato | Pénjamo | 20.46111 | -101.98083 | 35 | America/Mexico_City | populated place | ||
3519713 | San Antonio | San Antonio,San Antonio Encinal | MX | Oaxaca | San Juan Bautista Tuxtepec | 18.10806 | -96.15139 | 4 | America/Mexico_City | populated place | |
8879309 | Talayotes (Talayotes de los Volcanes) | Talayotes (Talayotes de los Volcanes) | MX | Chihuahua | Bocoyna | 27.91917 | -107.81139 | 113 | America/Chihuahua | populated place | |
8896368 | El Capulín | El Capulin,El Capulín | MX | Guanajuato | Purísima del Rincón | 21.05083 | -101.88556 | 34 | America/Mexico_City | populated place | |
3989905 | La Puerta | La Puerta,Rancho La Puerta | MX | Baja California | Tecate | 32.5496 | -116.67639 | 0 | America/Tijuana | populated place | |
10221149 | El Álamo | El Alamo,El Álamo | MX | Tamaulipas | Mier | 26.4305 | -99.1148 | 0 | America/Monterrey | populated place | |
8859785 | Manzana Segunda | Manzana Segunda | MX | México | Jiquipilco | 19.56722 | -99.59389 | 1064 | America/Mexico_City | populated place | |
3818597 | Icxotitla | MX | Puebla | Naupan | 20.24253 | -98.10069 | 1369 | America/Mexico_City | populated place | ||
8726741 | El Chote | El Chote | MX | Veracruz | Tantima | 21.34667 | -97.85611 | 147 | America/Mexico_City | populated place | |
9531656 | Villa Nueva | Cajetal,Villa Nueva | MX | Chiapas | Siltepec | 15.59598 | -92.50622 | 0 | America/Mexico_City | populated place | |
8946961 | Rincón Tarasco | Rincon Tarasco,Rincón Tarasco | MX | Chiapas | Chiapa de Corzo | 16.67444 | -92.98056 | 4 | America/Mexico_City | populated place | |
3974221 | San Francisco del Carmen (La Zorra) | La Zorra,San Francisco del Carmen | MX | San Luis Potosí | Villa de Guadalupe | 23.48322 | -100.86844 | 12 | America/Mexico_City | populated place | |
8700863 | Las Coloradas | El Indio,Las Coloradas | MX | Tamaulipas | Altamira | 22.67449 | -98.26753 | 0 | America/Monterrey | populated place | |
9013135 | San José de los Ojitos | San Jose de los Ojitos,San José de los Ojitos | MX | Durango | Rodeo | 25.21129 | -104.6596 | 0 | America/Monterrey | populated place | |
8864069 | Colonia Laureles | Colonia Laureles | MX | México | Isidro Fabela | 19.55139 | -99.41417 | 451 | America/Mexico_City | populated place | |
8869163 | La Sabina | La Sabina | MX | Guanajuato | Manuel Doblado | 20.67028 | -101.89278 | 258 | America/Mexico_City | populated place | |
4028245 | La Tijera | La Tijera | MX | Colima | Tecomán | 18.84211 | -103.83701 | 0 | America/Mexico_City | populated place | |
8895047 | Saucillo Segundo | Saucillo Segundo | MX | Guanajuato | Tarandacuao | 19.93611 | -100.52194 | 37 | America/Mexico_City | populated place | |
3529078 | El Coyol | Coyol | MX | Veracruz | Hueyapan de Ocampo | 18.15238 | -95.12006 | 0 | America/Mexico_City | populated place | |
8867840 | Providencia de los Molina | Providencia de los Molina | MX | Guanajuato | San Luis de la Paz | 21.16194 | -100.63417 | 293 | America/Mexico_City | populated place | |
8920003 | Ejido Zapotlán de Allende | Ejido Zapotlan de Allende,Ejido Zapotlán de Allende | MX | Hidalgo | Tulancingo de Bravo | 20.07497 | -98.33141 | 10 | America/Mexico_City | populated place | |
3974796 | Paramo | Paramo,Paramo de Morelos,Páramo,Páramo de Morelos | MX | Chihuahua | Guerrero | 28.43208 | -107.18639 | 516 | America/Chihuahua | populated place | |
3997179 | Los Sauces | MX | Colima | Minatitlán | 19.43333 | -103.98333 | 0 | America/Mexico_City | populated place | ||
8887887 | El Salar | El Salar | MX | Oaxaca | Santa Catarina Juquila | 16.06333 | -97.34278 | 61 | America/Mexico_City | populated place | |
11224924 | Potrerillo | Potrerillo | MX | Jalisco | 21.00677 | -102.03374 | 0 | America/Mexico_City | populated place | ||
9520804 | Coatepec de Morelos | Coatepec de Morelos,San Francisco | MX | Michoacán | Zitácuaro | 19.41975 | -100.37513 | 0 | America/Mexico_City | populated place | |
3983430 | Sapioris | Sapieris,Sapioris | MX | Durango | Coneto de Comonfort | 25.14107 | -104.90813 | 164 | America/Monterrey | populated place | |
8915498 | Manzanillas | Manzanillas | MX | Jalisco | Cabo Corrientes | 20.4925 | -105.485 | 12 | America/Mexico_City | populated place | |
4023634 | Emiliano Zapata | Emiliano Zapata,Zavala | MX | Guanajuato | San Felipe | 21.63189 | -100.9603 | 539 | America/Mexico_City | populated place | |
8932151 | Agua Fría | Agua Fria,Agua Fría | MX | Veracruz | Ursulo Galván | 19.4675 | -96.38194 | 7 | America/Mexico_City | populated place | |
9904559 | Los Tres García | Los Tres Garcia,Los Tres García | MX | Tamaulipas | Reynosa | 25.82717 | -98.28637 | 0 | America/Matamoros | populated place | |
9514052 | Puerto el Naranjo | Puerto el Naranjo | MX | Guerrero | Coahuayutla de José María Izazaga | 18.14047 | -101.67561 | 0 | America/Mexico_City | populated place | |
3814034 | Loma Huati | Loma Huati,Loma Huatí | MX | Hidalgo | Alfajayucan | 20.47706 | -99.39062 | 0 | America/Mexico_City | populated place | |
4021452 | Noria del Borrego (Norias) | MX | Aguascalientes | Asientos | 22.28722 | -102.04194 | 1186 | America/Mexico_City | populated place | ||
8878486 | Galván el Chorizo (Colonia Elías) [Empaque] | Galvan el Chorizo (Colonia Elias) [Empaque],Galván el Chorizo (Colonia Elías) [Empaque] | MX | Baja California | Mexicali | 32.3528 | -115.0471 | 120 | America/Tijuana | populated place | |
4000359 | Las Aguilas | Las Aguilas,Rancho Las Aguilas | MX | Baja California | Ensenada | 31.53516 | -116.27206 | 0 | America/Tijuana | populated place | |
3982894 | Solitario | MX | Guerrero | La Unión de Isidoro Montes de Oca | 18 | -101.95 | 0 | America/Mexico_City | populated place | ||
8939652 | El Roble | El Roble | MX | Chiapas | Las Margaritas | 16.33222 | -91.75083 | 5 | America/Mexico_City | populated place | |
3821940 | San Francisco | MX | Guerrero | Tecoanapa | 17.00583 | -99.28306 | 1674 | America/Mexico_City | populated place | ||
4025517 | San José | San Jose,San José | MX | Michoacán | Hidalgo | 19.44109 | -100.72471 | 0 | America/Mexico_City | populated place | |
4029628 | Presa de Bravo | Presa de Bravo,Presa de Brayo | MX | Querétaro | Corregidora | 20.42826 | -100.42501 | 857 | America/Mexico_City | populated place | |
8878132 | Dos Arroyos | Dos Arroyos | MX | Veracruz | Catemaco | 18.35056 | -95.06528 | 124 | America/Mexico_City | populated place | |
4003035 | Las Chaparreras | Las Chaparreras,Rancho La Chaparrera | MX | Sinaloa | El Fuerte | 26.31258 | -108.6505 | 0 | America/Mazatlan | populated place | |
9090166 | Agua Limpia | Agua Limpia | MX | Hidalgo | Nopala de Villagrán | 20.18506 | -99.5281 | 0 | America/Mexico_City | populated place | |
11137304 | El Escondido | El Escondido | MX | Jalisco | Talpa de Allende | 20.23452 | -104.88794 | 0 | America/Mexico_City | populated place | |
8867662 | Hidalgo | Hidalgo | MX | Oaxaca | Putla Villa de Guerrero | 16.97639 | -97.84361 | 299 | America/Mexico_City | populated place | |
8707462 | Los Castellanos | Los Castellanos | MX | Coahuila | Zaragoza | 29.0491 | -101.90846 | 2 | America/Matamoros | populated place | |
8872697 | El Malangar | El Malangar | MX | Oaxaca | Mazatlán Villa de Flores | 18.05611 | -96.91972 | 190 | America/Mexico_City | populated place | |
3995462 | El Terreno | MX | Sonora | Hermosillo | 29.20611 | -110.77722 | 1 | America/Hermosillo | populated place | ||
4011566 | La Sucursal Jiquilpan | Ejido Jiquilpan,La Sucursal Jiquilpan,Sucursal Dos de Jiquilpan | MX | Sinaloa | Ahome | 25.76567 | -108.93057 | 0 | America/Mazatlan | populated place | |
3981960 | Tepetate | Tepetate,Tepetates | MX | Jalisco | Tepatitlán de Morelos | 20.86667 | -102.8 | 0 | America/Mexico_City | populated place | |
8908476 | Las Juntas | Las Juntas | MX | Michoacán | Turicato | 19.08556 | -101.43778 | 17 | America/Mexico_City | populated place | |
3528982 | Escobilla | El Escobillal,Escobilla | MX | Chiapas | Siltepec | 15.58608 | -92.3391 | 0 | America/Mexico_City | populated place |
Mexico: A Geographical Exploration of the Heart of North America
A Country of Diverse Landscapes and Regions
Mexico, a vast country in North America, is renowned for its extraordinary geographical diversity. From the towering mountains and expansive plateaus of the Sierra Madre ranges to the lush jungles of the Yucatán Peninsula, Mexico’s landscapes are as varied as its culture. Positioned between the United States to the north and Central America to the south, Mexico is a crossroads of environments, climates, and ecosystems. The country's geography plays a central role in shaping its history, economy, and settlement patterns.
With 32 states, each possessing its own unique characteristics, Mexico’s urban and rural areas are distinctly shaped by their natural surroundings. Cities such as Mexico City, Guadalajara, and Monterrey represent urban hubs that have grown around geographic features such as highland valleys, rivers, and coastal plains. Meanwhile, rural regions across the country depend on agriculture, mining, and tourism, influenced by the diverse natural landscapes that range from deserts to rainforests.
To understand the full geographical scope of Mexico, it’s important to examine the exact locations, regions, and departments of the country’s cities. By accessing detailed data on the cities, their corresponding regions, and the specific latitude and longitude of each, one can gain a deeper understanding of how Mexico’s geography has influenced both its urban growth and its development challenges.
Urban Growth and Regional Diversity
Mexico’s urbanization has been shaped by its varied geography. The capital city, Mexico City, is one of the largest and most populous cities in the world, located in a high-altitude valley surrounded by mountains. Historically, this location was ideal for agriculture, but over time, the city’s development has led to challenges such as overcrowding, pollution, and the need for sustainable resource management. Despite these issues, Mexico City remains the country’s political, cultural, and economic center, influencing not only the surrounding region but also global markets.
Other important urban centers, such as Guadalajara and Monterrey, also reflect the geographic diversity of the country. Guadalajara, located in a highland basin in western Mexico, is a cultural and industrial hub, while Monterrey, nestled in the desert landscape of northern Mexico, has evolved into a major commercial and industrial powerhouse. These cities, while distinct in their environment and history, serve as key economic drivers for the country and are integral to Mexico’s position in the global economy.
The regions of Mexico are also defined by their distinct landscapes. The northern states, such as Sonora and Chihuahua, are arid and rely on industries like mining and cattle ranching, while the southern states, such as Oaxaca and Chiapas, are more forested and support agriculture, particularly in the production of coffee, corn, and tropical fruits. These geographical characteristics not only influence the local economy but also affect the distribution of population and the development of infrastructure.
Accessing data on the exact locations of cities and regions, as well as the boundaries between them, helps to illustrate the connection between geography and regional identity. This data is crucial for urban planners and policymakers who aim to balance development with environmental sustainability across the country’s diverse landscapes.
Latitude and Longitude: A Tool for Geographic Precision
Latitude and longitude are indispensable tools for understanding the precise locations of cities and towns across Mexico. In a country as geographically diverse as Mexico, the exact geographic coordinates of urban centers and rural areas provide essential insight into the relationship between human settlements and their natural environment.
For instance, Mexico City’s latitude and longitude can be used to study its interaction with the surrounding mountains and volcanic terrain. Similarly, the coordinates of coastal cities like Veracruz and Acapulco help reveal how Mexico’s cities are strategically positioned to take advantage of its access to both the Pacific Ocean and the Gulf of Mexico. The availability of this geographic data also enables researchers to better understand the spatial distribution of resources, such as water, arable land, and energy sources, which in turn informs sustainable planning efforts.
Moreover, obtaining the latitude and longitude of cities throughout Mexico allows for in-depth analysis of regional transportation networks, climate patterns, and environmental factors. For example, the relationship between the high-altitude cities in the central part of Mexico and the lower coastal regions can be studied to understand the unique challenges each region faces, from temperature extremes to natural disaster risks.
This geographic precision is key for tackling issues such as urban sprawl, water management, and climate resilience. Accessing accurate geographic data allows for better decision-making when it comes to managing growth, distributing resources, and protecting vulnerable areas from the impacts of environmental change.
Environmental Geography: Mexico’s Diverse Ecosystems
Mexico’s environmental geography is as diverse as its human geography. The country is home to a wide range of ecosystems, from the deserts of the north to the tropical rainforests of the south. Its varied climate zones and ecosystems support an incredible array of plant and animal life, making it one of the world’s most biodiverse countries.
The Baja California Peninsula, with its arid desert climate, contrasts sharply with the humid, tropical conditions found in the Yucatán Peninsula. The temperate highlands in central Mexico are known for their fertile soil, while the rainforests in the south support agriculture and serve as vital carbon sinks. The coastal regions of Mexico are particularly important for their marine biodiversity and serve as critical areas for both local fisheries and global conservation efforts.
In addition to these natural resources, Mexico’s volcanoes, particularly in the Trans-Mexican Volcanic Belt, influence not only the country’s landscape but also its agriculture. Volcanic soils are some of the most fertile in the world, supporting crops like maize, beans, and tomatoes that are central to the nation’s cuisine and economy.
Obtaining data on the exact locations of Mexico’s cities in relation to these ecosystems allows for a deeper understanding of how human settlements impact the environment and vice versa. By analyzing the latitude and longitude of urban areas and rural regions, it becomes possible to track how land use patterns affect biodiversity, agriculture, and climate change, as well as to design policies that preserve the country’s valuable natural resources.
The Role of Geographic Data in Sustainable Development
Sustainable development is a key priority for Mexico as it works to balance urban growth with environmental protection. Given the country's geographical challenges, such as deforestation, water scarcity, and vulnerability to climate change, geographic data plays a critical role in shaping the future of development across the nation.
Accessing detailed information about the locations of cities, regions, and natural features, including their geographic coordinates, allows policymakers to make informed decisions about infrastructure, conservation, and climate change mitigation. Whether it’s improving the transportation networks in urban centers like Guadalajara or ensuring the protection of sensitive ecosystems in the Yucatán Peninsula, geographic data helps to guide efforts toward sustainable, environmentally responsible growth.
Additionally, geographic data is vital for addressing regional disparities. Mexico’s northern states, with their desert landscapes and limited water resources, face different challenges than the agricultural regions in the south. By using geographic data to understand these differences, the government can implement more targeted policies that address the unique needs of each region.
Conclusion
Mexico’s geography is both diverse and complex, with varying climates, ecosystems, and urban development patterns shaping the nation’s identity. The precise geographic data on cities, regions, and their coordinates plays a crucial role in understanding how the country’s landscapes and urban centers interact. By obtaining detailed data on the latitude and longitude of key cities, regions, and departments, geographers, policymakers, and urban planners can better navigate the challenges of urbanization, resource management, and environmental sustainability. With this geographic data, Mexico can continue to build a more sustainable and resilient future, balancing economic growth with the preservation of its unique landscapes and ecosystems.
FaQ about Mexico
- Geoname_ID: This is a unique identifier for each place or geographical name in the Geoname database.
- City: The name of the place, which can be a town, village or any other form of human settlement.
- Alternate_Name: Other names or appellations that the place may have. These alternative names may be in different languages, dialects or even local names.
- Country_Code: This is the ISO 3166-1 alpha-2 code for the country in which the place is located. For example, "US" for the United States, "FR" for France.
- Region: This represents the first-order administrative division in which the location is situated. For example, this could be a state, province or territory.
- Sub_region: This is a second-order administrative division, such as a county or district, within the region.
- Latitude: The geographical latitude of the location, usually in decimal degrees.
- Longitude: The geographical longitude of the location, also usually in decimal degrees.
- Elevation: The elevation or altitude of the location in relation to sea level, usually measured in metres.
- Population: The estimated number of inhabitants or population of the location.
- Timezone: The time zone in which the location is located, in accordance with global time zone standards.
- Fcode_Name: This is a code that categorises the type of location. For example, "PPL" could mean a populated place, while "PPLC" could be the capital of a political entity.