Timor Leste cities list with latitude and longitude in CSV,SQL,XML,JSON formats

Timor_Leste
Timor Leste
CSV, SQL, XML, JSON

Last update : 10 December 2024.

Country
Timor Leste
Capitale
Dili
Number of cities
3310
Download
Click here

This is the best list of 3310 cities in the Timor Leste 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 Timor Leste file that you are going to retrieve. The data is displayed here in the form of a table:


Geoname_IDCityAlternate_NameCountry_CodeRegionSub_regionLatitudeLongitudeElevationPopulationTimezoneFcode_Name
1945166LalomatoTLLautémIliomar-8.74611126.821670Asia/Dilipopulated place
1943345SamalariTLViquequeUatocarabau-8.65167126.656940Asia/Dilipopulated place
8629771Hae-ConiTLBaucauBaguia-8.60784126.652110Asia/Dilipopulated place
8642837Uani UmaTLViquequeUatocarabau-8.75126.683330Asia/Dilipopulated place
8629067ManapaTLBobonaroCailaco-8.96667125.233330Asia/Dilipopulated place
8629126BetulariTLBaucauQuelicai-8.58722126.60750Asia/Dilipopulated place
1944516NonkikanTLOecusseOesilo-9.37972124.350280Asia/Dilipopulated place
1943105FatumeringTLAileuLequidoe-8.70779125.637420Asia/Dilipopulated place
8630080MahaquidanTLManufahiAlas-9.01667125.80Asia/Dilipopulated place
1943085LilouaricaTLBaucauBaucau-8.55444126.479170Asia/Dilipopulated place
1943467UluanaTLLiquiçáMaubara-8.71722125.234720Asia/Dilipopulated place
1945228UatTLBobonaroBobonaro-9.02306125.319720Asia/Dilipopulated place
1944483KusiTLOecusseNitibe-9.42124.287780Asia/Dilipopulated place
8629363Bairro PiteTLDíliVera Cruz-8.56667125.566670Asia/Dilipopulated place
1643345HeraHera,HeraitTLDíliCristo Rei-8.53846125.686010Asia/Dilipopulated place
1943428NunuleteTLLiquiçáMaubara-8.65778125.193330Asia/Dilipopulated place
11856534KaitasuTLAileuRemexio-8.67172125.739110770Asia/Dilipopulated place
1943115DailorlutaTLAileuLequidoe-8.69148125.651440Asia/Dilipopulated place
1944557GulorlauTLAinaroAinaro-8.95833125.508060Asia/Dilipopulated place
1943943SaburaiTLBobonaroMaliana-9.04125.247220Asia/Dilipopulated place
1945104AipradoTLErmeraHatulia-8.76694125.354170Asia/Dilipopulated place
1942818LilapuhoTLLautémLospalos-8.45667126.958610Asia/Dilipopulated place
1944763HatuleteTLErmeraLetefoho-8.89028125.435280Asia/Dilipopulated place
1946098FanaloloTLBaucauBaguia-8.56972126.682220Asia/Dilipopulated place
1944764HatugeoTLErmeraLetefoho-8.88917125.430830Asia/Dilipopulated place
1944021MerdekaTLBobonaroAtabae-8.78639125.103330Asia/Dilipopulated place
1944581AssiTLErmeraLetefoho-8.85639125.408890Asia/Dilipopulated place
1942981LomatuTLLautém-8.355127.05750Asia/Dilipopulated place
1944370NumputuTLOecussePante Makasar-9.31556124.270560Asia/Dilipopulated place
1944957SiruiTLErmeraAtsabe-8.91611125.343330Asia/Dilipopulated place
1943645BauraTLLiquiçáBazartete-8.65333125.372780Asia/Dilipopulated place
1944800UrhouTLAinaroMaubisse-8.825125.600280Asia/Dilipopulated place
8617685HoholauTLAileuAileu Villa-8.75125.50Asia/Dilipopulated place
1945243BoropaiTLLautémIliomar-8.70556126.789170Asia/Dilipopulated place
1943511LarisulaTLBaucauBaguia-8.635126.731390Asia/Dilipopulated place
1629736RemexioRemexio,RemixioTLAileuRemexio-8.61556125.666390Asia/Dilipopulated place
1945430LauroTLLautémLospalos-8.52306126.952220Asia/Dilipopulated place
1650776BaguiaBaguiaTLBaucauBaguia-8.62778126.661390Asia/Dilipopulated place
1944430NopaiTLOecussePante Makasar-9.2575124.349720Asia/Dilipopulated place
1944568LeohatTLManatutoSoibada-8.8675125.943330Asia/Dilipopulated place
1945216SelucinTLManufahiFatuberliu-9.01167126.004720Asia/Dilipopulated place
8629706MertutoTLErmeraErmera Villa-8.75276125.421040Asia/Dilipopulated place
8630058Mota IcunTLLiquiçáBazartete-8.56667125.419710Asia/Dilipopulated place
1943380DadubereTLBobonaroBalibo-8.96611125.041940Asia/Dilipopulated place
1945034LikituraTLAileuAileu Villa-8.81611125.599720Asia/Dilipopulated place
1944667RailurinTLErmeraErmera Villa-8.76472125.408060Asia/Dilipopulated place
8629842Baboi LetenTLErmeraAtsabe-8.90556125.396390Asia/Dilipopulated place
1943288KolosumaTLBobonaroBalibo-8.96389125.000830Asia/Dilipopulated place
1945515GeruduTLAinaroAinaro-9.0025125.518060Asia/Dilipopulated place
1943637SosoanaTLBobonaroBalibo-8.95306125.108890Asia/Dilipopulated place
8629702PonilalaTLErmeraErmera Villa-8.7083125.370140Asia/Dilipopulated place
1944423NoeninanTLOecussePante Makasar-9.26611124.35250Asia/Dilipopulated place
1944642RematuTLErmeraErmera Villa-8.79194125.407780Asia/Dilipopulated place
1943790MamulakTLViquequeViqueque-8.85222126.365560Asia/Dilipopulated place
1944765AlosainTLErmeraLetefoho-8.88806125.427780Asia/Dilipopulated place
1944734AsioTLErmeraAtsabe-8.92417125.405280Asia/Dilipopulated place
1944548DambohumTLManatutoBarique-8.91389125.968060Asia/Dilipopulated place
1944579SibarceonTLAileuRemexio-8.68111125.806670Asia/Dilipopulated place
1636670MalianaMPT,Maliana,ma li ya na,malliana,malyana,mariana,مالیانا,マリアナ,瑪利亞娜,말리아나TLBobonaroMaliana-8.99167125.2197222000Asia/Diliseat of a first-order administrative division
1943321OssomaliTLViquequeUatocarabau-8.67556126.63250Asia/Dilipopulated place
8644030CocoaTLErmeraRailaco-8.7125.466670Asia/Dilipopulated place
8628951CotolauTLAileuLaulara-8.63333125.60Asia/Dilipopulated place
1945138LouloloTLBobonaroBobonaro-9.10529125.340550Asia/Dilipopulated place
1943414VatuguiliTLLiquiçáMaubara-8.63444125.21250Asia/Dilipopulated place
1944820ToneroTLBobonaroBobonaro-8.97889125.32750Asia/Dilipopulated place
1943453KemalelaraTLLiquiçáLiquiçá-8.59944125.320830Asia/Dilipopulated place
1945466MaluroTLLautémLospalos-8.57167126.8850Asia/Dilipopulated place
1943024HotklokatTLErmeraErmera Villa-8.72889125.446390Asia/Dilipopulated place
1945346VailoroTLLautémLospalos-8.50083127.099170Asia/Dilipopulated place
1944725MalimeaTLErmeraAtsabe-8.94611125.389170Asia/Dilipopulated place
1944461MetaTLOecussePassabe-9.455124.336940Asia/Dilipopulated place
1943386FatukakaeTLBobonaroBalibo-8.96056125.028610Asia/Dilipopulated place
1945021SantacruzTLErmeraHatulia-8.8125125.319440Asia/Dilipopulated place
1943191LiaroTLViquequeOssu-8.6725126.366110Asia/Dilipopulated place
1943087UatouaTLBaucauBaucau-8.57583126.456390Asia/Dilipopulated place
1943307DairTLLiquiçáMaubara-8.63917125.138610Asia/Dilipopulated place
8629852DotikTLManufahiAlas-9.07056125.91750Asia/Dilipopulated place
1942386HudilaranTLDíliDom Aleixo-8.55663125.558870Asia/Dilipopulated place
1943213SamalariTLViquequeOssu-8.69722126.480830Asia/Dilipopulated place
1944027SouTLCova LimaFohorem-9.26083125.1450Asia/Dilipopulated place
1944615KukhataTLErmeraErmera Villa-8.76972125.446670Asia/Dilipopulated place
1946068SelegoaTLBaucauLaga-8.51944126.690830Asia/Dilipopulated place
1943765ManohatuTLErmeraHatulia-8.72028125.322780Asia/Dilipopulated place
1944597KailitiTLErmeraLetefoho-8.82125.432220Asia/Dilipopulated place
8629252GricenforTLDíliNain Feto-8.55344125.583950Asia/Dilipopulated place
1943476SamalaiTLManatutoLaleia-8.57694126.160Asia/Dilipopulated place
1943405DelusuvatiDelesuvaati,DelusuvatiTLLiquiçáMaubara-8.62972125.171940Asia/Dilipopulated place
1944185NularanTLCova LimaFohorem-9.28125.098330Asia/Dilipopulated place
1944835AtolaraTLBobonaroBobonaro-8.99139125.372220Asia/Dilipopulated place
1945625FahilebuTLManufahiTuriscai-8.84722125.720Asia/Dilipopulated place
1946061LoilariTLBaucauLaga-8.55028126.697220Asia/Dilipopulated place
1942707ManoroniTLDíliCristo Rei-8.53852125.680640Asia/Dilipopulated place
8629330LiaboteTLBobonaroCailaco-8.88333125.216670Asia/Dilipopulated place
1943110AsumataTLAileuLequidoe-8.72112125.679940Asia/Dilipopulated place
1944144UaroanaTLDíliAtauro Island-8.15778125.638060Asia/Dilipopulated place
1944638FatulaiTLAileuAileu Villa-8.79306125.476390Asia/Dilipopulated place
1944697TidibesseTLErmeraErmera Villa-8.76139125.389440Asia/Dilipopulated place
1643400HatoliaHatolia,Hatolia Vila,Hatu Lia,Vila Celestino,Vila Celestino da SilvaTLErmeraHatulia-8.81139125.318330Asia/Dilipopulated place
1942895AfacaTLBaucauQuelicai-8.54556126.601110Asia/Dilipopulated place
8629014SeicalTLBaucauBaucau-8.46667126.516670Asia/Dilipopulated place

Timor-Leste: A Geographical Exploration of Southeast Asia’s Youngest Nation

Timor-Leste, also known as East Timor, is a small yet significant country located in the southeastern part of Asia. It occupies the eastern half of the island of Timor, as well as the enclave of Oecusse on the northwestern coast of the island. Surrounded by the Timor Sea, the Savu Sea, and the Arafura Sea, Timor-Leste is characterized by a combination of rugged mountains, rich biodiversity, and a coastline that stretches over 700 kilometers. The country’s geographical features have profoundly influenced its culture, economy, and historical development, and continue to play a crucial role in shaping its future. Understanding the geography of Timor-Leste—its cities, regions, and natural resources—is essential for understanding its growth and the challenges it faces.

A Landscape Defined by Mountains, Coastlines, and Biodiversity

Timor-Leste is a land of dramatic contrasts, with its geography ranging from steep, mountainous terrain to fertile valleys and stunning coastlines. The central region of the country is dominated by the rugged Timor Mountains, which run from west to east across the island. These mountains create natural barriers, isolating many regions and making transportation between rural and urban areas challenging. The highest peak, Mount Tatamailau (also known as Mount Ramelau), rises to 2,963 meters, and offers breathtaking views of the surrounding valleys and coastline.

The country’s coastline is equally impressive, with beautiful beaches, coral reefs, and bays that attract both local and international visitors. The Timor Sea, which lies to the north of the island, is rich in marine life and natural resources, while the southern coast faces the more turbulent waters of the Arafura Sea. Timor-Leste’s fertile lands are found mainly in the valleys and plains, where agriculture plays a central role in the country’s economy. Coffee is the nation’s primary export, and other crops such as rice, maize, and coconut are also important to local livelihoods.

The biodiversity in Timor-Leste is extraordinary, with diverse ecosystems that range from tropical rainforests to savannas and wetlands. This biodiversity is not only critical for environmental conservation but also plays a role in the country’s tourism industry, which is increasingly recognized for its potential in eco-tourism.

Administrative Divisions: Regions and Cities

Timor-Leste is divided into 13 municipalities (formerly known as districts), which are the primary administrative units in the country. Each municipality is further subdivided into sucos, or villages. These municipalities are diverse in terms of geography, culture, and economic activity, with some municipalities, such as Dili and Baucau, being more urbanized, while others remain predominantly rural.

The capital city, Dili, is situated along the northern coast and serves as the country’s political, economic, and cultural center. As the largest city in Timor-Leste, Dili is home to government institutions, international organizations, and the bulk of the nation’s population. The city is an essential hub for commerce, education, and tourism, with a coastal location that also provides important access to trade routes in the Timor Sea.

Baucau, located on the eastern side of the island, is the second-largest city and an important regional center for trade, agriculture, and transportation. Other cities, such as Maliana, Suai, and Aileu, also play key roles in the economy and local governance, while the rural areas of the country remain largely focused on agriculture and community-based industries.

Each municipality in Timor-Leste is shaped by its geography, with many of the rural municipalities facing challenges related to infrastructure, education, and access to healthcare. Geographic data, including the latitude and longitude of cities and regions, is critical in understanding these geographical variations and the opportunities they offer for development.

The Role of Geographic Data in Understanding Timor-Leste’s Development

Accurate geographic data is crucial for understanding Timor-Leste’s spatial structure, resource distribution, and urban development. By obtaining geographic data on the cities, regions, and natural resources of the country, geographers and policymakers can gain insights into the social, economic, and environmental factors that shape the nation.

For example, the geographical coordinates of cities such as Dili, Baucau, and Maliana are key for understanding population distribution and the flow of goods and services. Timor-Leste's infrastructure is still in development, and geographic data can assist in planning for the construction of roads, transportation systems, and utilities in urban and rural areas. Access to such data also aids in disaster management and climate change mitigation efforts, particularly for regions vulnerable to flooding, erosion, or drought.

Geographic data is equally important in analyzing Timor-Leste’s agricultural regions, where coffee and other crops are grown. Understanding the location of fertile lands, water sources, and crop suitability enables better resource management and helps improve productivity, especially in areas like Aileu, Ermera, and Bobonaro, which have traditionally been agricultural hubs.

Moreover, the data is vital for the sustainable management of Timor-Leste’s coastal areas and marine resources. The country’s fisheries and coral reefs are crucial to both the local economy and food security, and geographic data can assist in monitoring and protecting these areas from overfishing and environmental degradation.

Urbanization and Infrastructure Development in Timor-Leste

Timor-Leste faces significant challenges in terms of urbanization and infrastructure development. With a population that is growing rapidly, particularly in urban areas like Dili, the demand for housing, transportation, and social services is increasing. Geographic data is essential for understanding how cities are expanding and how infrastructure needs to be developed to meet the demands of an expanding population.

In Dili, for example, geographic data can help plan for the expansion of the city’s infrastructure, including transportation networks, housing, and waste management systems. The city’s coastal location makes it vulnerable to flooding and erosion, and geographic data can assist in identifying areas at risk and developing sustainable strategies for coastal protection and land use planning.

In rural areas, where agricultural activities remain the backbone of the economy, geographic data can aid in creating sustainable farming practices and improving access to markets, education, and healthcare. For regions that are more isolated, geographic data is vital for planning road construction and ensuring that basic services are available to remote communities.

Environmental Sustainability and Conservation Efforts

Timor-Leste’s geography also plays a significant role in its environmental conservation efforts. The country is home to unique ecosystems and biodiversity, but it also faces challenges related to deforestation, soil erosion, and the impacts of climate change. Geographic data helps monitor these issues and plan for conservation efforts in critical areas, such as protected forests, wetlands, and marine habitats.

The country’s forests, particularly in the mountainous regions, are essential for maintaining biodiversity and regulating water cycles. By mapping the location and health of these forests, conservationists can work to protect them from deforestation and land degradation, ensuring that they continue to provide vital resources for future generations.

In addition to forest conservation, Timor-Leste's coastal areas, which are home to coral reefs and important fisheries, require careful management. Geographic data on the distribution of coral reefs, fish populations, and marine ecosystems is essential for designing effective conservation strategies and promoting sustainable use of marine resources.

Conclusion: The Role of Geographic Data in Timor-Leste’s Future

In conclusion, Timor-Leste’s geography plays a crucial role in its development and sustainability. From its rugged mountains and fertile valleys to its expansive coastline, the country’s landscapes are integral to its economy, culture, and environmental well-being. Geographic data, including the latitude and longitude of cities and regions, is essential for understanding the spatial dynamics of Timor-Leste and informing policies that promote balanced growth and sustainability.

By obtaining and utilizing geographic data, Timor-Leste can better plan for urbanization, resource management, and environmental conservation. The data also allows for more effective disaster response, infrastructure development, and the protection of natural resources. As the country continues to grow and evolve, geographic data will remain a fundamental tool for ensuring that development is both sustainable and inclusive for all regions of the country.

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  • 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.
You will retrieve a .rar archive containing the country files in csv, sql, xml and json formats.
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