Hungary cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 13 December 2024.
Below is a list of 100 prominent cities in Hungary. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 9840 places in Hungary that you'll find in our World Cities Database. You're free to use the data below for personal or commercial applications. The data below can be downloaded in .csv, .json, .xml and .sql formats. Notable Cities: The capital of Hungary is Budapest.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
3053641 | Dobontapuszta | HU | Somogy | 46.18333 | 17.46667 | 0 | Europe/Budapest | populated place | |||
3045374 | Sérsekszőlős | Sersekszollos,Sersekszolos,Sérsekszőllős,Sérsekszőlős | HU | Somogy | 46.76446 | 18.01544 | 0 | Europe/Budapest | populated place | ||
722747 | Bacskótanya | HU | Szabolcs-Szatmár-Bereg | 48.05 | 22.36667 | 0 | Europe/Budapest | populated place | |||
722109 | Bomberház | HU | Szabolcs-Szatmár-Bereg | 48.13333 | 22.11667 | 0 | Europe/Budapest | populated place | |||
3045181 | Sopronnémeti | Sopronnemeti,Sopronnémeti | HU | Győr-Moson-Sopron | 47.53638 | 17.20692 | 0 | Europe/Budapest | populated place | ||
718332 | Kuncsorba | Csorbai Puszta,Kuncsorba | HU | Jász-Nagykun-Szolnok | 47.13333 | 20.56667 | 0 | Europe/Budapest | populated place | ||
720191 | Haragistya | HU | Borsod-Abaúj-Zemplén | 48.53333 | 20.51667 | 0 | Europe/Budapest | populated place | |||
721878 | Csaholyitanya | HU | Szabolcs-Szatmár-Bereg | 47.88333 | 22.56667 | 0 | Europe/Budapest | populated place | |||
3054966 | Boba | Boba | HU | Veszprém | 47.18279 | 17.18737 | 0 | Europe/Budapest | populated place | ||
3049414 | Koronaliget | HU | Pest | 47.59714 | 19.47895 | 0 | Europe/Budapest | populated place | |||
715718 | Sördeföld | HU | Szabolcs-Szatmár-Bereg | 47.8 | 21.68333 | 0 | Europe/Budapest | populated place | |||
3042686 | Wébermalom | HU | Baranya | 46.13333 | 18.11667 | 0 | Europe/Budapest | populated place | |||
3044613 | Szentjózsefpuszta | HU | Komárom-Esztergom | 47.74314 | 18.55186 | 0 | Europe/Budapest | populated place | |||
718521 | Kőrössytanya | HU | Borsod-Abaúj-Zemplén | 47.78333 | 21 | 0 | Europe/Budapest | populated place | |||
3055695 | Bagópuszta | HU | Baranya | 45.95 | 17.66667 | 0 | Europe/Budapest | populated place | |||
3054154 | Cservölgy | HU | Tolna | 46.51667 | 18.38333 | 0 | Europe/Budapest | populated place | |||
714938 | Tarpa | Tarpa | HU | Szabolcs-Szatmár-Bereg | 48.1048 | 22.53744 | 2331 | Europe/Budapest | populated place | ||
3050536 | Károlymajor | HU | Pest | 47.76667 | 19.3 | 0 | Europe/Budapest | populated place | |||
3056239 | Alsódános | HU | Pest | 47.21667 | 19.55 | 0 | Europe/Budapest | populated place | |||
3050389 | Kelesidűlő | HU | Bács-Kiskun | 46.41667 | 19.18333 | 0 | Europe/Budapest | populated place | |||
3044191 | Tahitótfalu | HU | Pest | Szentendrei Járás | 47.75161 | 19.07886 | 4677 | Europe/Budapest | populated place | ||
721596 | Csomorrésztanya | HU | Heves | 47.7 | 20.43333 | 0 | Europe/Budapest | populated place | |||
3045428 | Scherctanya | HU | Pest | 47.43333 | 18.91667 | 0 | Europe/Budapest | populated place | |||
720907 | Felsőbánya | HU | Borsod-Abaúj-Zemplén | 48.21667 | 20.71667 | 0 | Europe/Budapest | populated place | |||
714374 | Újtelep | HU | Borsod-Abaúj-Zemplén | 48.26667 | 20.68333 | 0 | Europe/Budapest | populated place | |||
717298 | Nagyhódos | Nagyhados,Nagyhodos,Nagyhádos,Nagyhódos | HU | Szabolcs-Szatmár-Bereg | 47.96209 | 22.85038 | 0 | Europe/Budapest | populated place | ||
3055477 | Bana | Bana | HU | Komárom-Esztergom | 47.65171 | 17.92181 | 0 | Europe/Budapest | populated place | ||
3056354 | Ajkarendeki Tanyák | Ajkarendek Tanyak,Ajkarendek Tanyák,Ajkarendeki Tanyak,Ajkarendeki Tanyák | HU | Veszprém | 47.1353 | 17.56896 | 0 | Europe/Budapest | populated place | ||
3054399 | Csányihatár | Csanyi Hatardulo,Csanyihatar,Csányi Határdůlő,Csányihatár | HU | Jász-Nagykun-Szolnok | 47.60829 | 19.73583 | 0 | Europe/Budapest | populated place | ||
722739 | Bag | HU | Szabolcs-Szatmár-Bereg | 48.16898 | 22.34253 | 0 | Europe/Budapest | populated place | |||
3045528 | Sárkeszi | Sarkeszi,Sárkeszi | HU | Fejér | 47.15821 | 18.28644 | 0 | Europe/Budapest | populated place | ||
3046525 | Pécsbagota | Pecsbagota,Pécsbagota | HU | Baranya | 45.99028 | 18.07333 | 0 | Europe/Budapest | populated place | ||
3044487 | Szigethalom | Horthyliget,Szigethalom,Szilagyitelep,Szilágyitelep | HU | Pest | 47.32228 | 19.00262 | 13092 | Europe/Budapest | populated place | ||
3051335 | Horgas | HU | Tolna | 46.13333 | 18.78333 | 0 | Europe/Budapest | populated place | |||
3052366 | Gátér | HU | Pest | 47.03333 | 19.78333 | 0 | Europe/Budapest | populated place | |||
3044440 | Szilfalaposdűlő | HU | Heves | 47.68333 | 19.93333 | 0 | Europe/Budapest | populated place | |||
3044956 | Szalapa | Szalapa | HU | Zala | 46.99454 | 17.14902 | 0 | Europe/Budapest | populated place | ||
3045330 | Siójut | Jut,Siojut,Siójut | HU | Somogy | 46.87879 | 18.13853 | 0 | Europe/Budapest | populated place | ||
3046014 | Rácztanya | HU | Pest | 47.8 | 19.25 | 0 | Europe/Budapest | populated place | |||
3047408 | Nemeskeresztúr | HU | Vas | 47.09362 | 17.19034 | 0 | Europe/Budapest | populated place | |||
3045422 | Schwarcszőllő | HU | Nógrád | 48.05 | 19.23333 | 0 | Europe/Budapest | populated place | |||
3050796 | Kaastanya | HU | Pest | 47.36667 | 19.85 | 0 | Europe/Budapest | populated place | |||
721502 | Dankótanya | Dankotanya,Dankotanyak,Dankótanya,Dankótanyák | HU | Szabolcs-Szatmár-Bereg | 47.93333 | 21.25 | 0 | Europe/Budapest | populated place | ||
3048112 | Meződ | Mezod,Meződ | HU | Baranya | 46.29043 | 18.10256 | 0 | Europe/Budapest | populated place | ||
716864 | Öcsöd | Ocsod,Öcsöd | HU | Jász-Nagykun-Szolnok | 46.9 | 20.4 | 3730 | Europe/Budapest | populated place | ||
3053073 | Farmos | Farmos | HU | Pest | 47.36067 | 19.84619 | 3793 | Europe/Budapest | populated place | ||
3044283 | Szorosad | Szorosad | HU | Somogy | 46.60198 | 18.02358 | 0 | Europe/Budapest | populated place | ||
716823 | Olcsva | Olcsva | HU | Szabolcs-Szatmár-Bereg | 48.0898 | 22.33403 | 0 | Europe/Budapest | populated place | ||
3051281 | Hosszúhegyalja | HU | Somogy | 46.75 | 17.75 | 0 | Europe/Budapest | populated place | |||
7287739 | Nagyhajmás | HU | Baranya | 46.37536 | 18.2888 | 0 | Europe/Budapest | populated place | |||
716526 | Pátroha | Patroha,Pátroha | HU | Szabolcs-Szatmár-Bereg | 48.16667 | 22 | 2976 | Europe/Budapest | populated place | ||
717575 | Mocsárka | HU | Borsod-Abaúj-Zemplén | 48.4 | 21.66667 | 0 | Europe/Budapest | populated place | |||
3048749 | Lócs | Loca,Locs,Losing,Loča,Lócs | HU | Vas | 47.40404 | 16.81154 | 0 | Europe/Budapest | populated place | ||
721514 | Czukortanya | HU | Szabolcs-Szatmár-Bereg | 47.93333 | 21.86667 | 0 | Europe/Budapest | populated place | |||
3055005 | Bikolpuszta | Alsobikol,Alsóbikol,Bikol,Bikolpuszta,Felsobikol-puszta,Felsőbikol-puszta | HU | Komárom-Esztergom | 47.72335 | 18.45187 | 0 | Europe/Budapest | populated place | ||
3054996 | Birkaakoli Major | HU | Veszprém | 47.2 | 17.63333 | 0 | Europe/Budapest | populated place | |||
3054318 | Csehbányai Major | HU | Veszprém | 47.16667 | 17.68333 | 0 | Europe/Budapest | populated place | |||
715550 | Szalánczynagytanya | HU | Szabolcs-Szatmár-Bereg | 48.1 | 21.86667 | 0 | Europe/Budapest | populated place | |||
721401 | Dezsitanya | Dezsihaz-tanya,Dezsiház-tanya,Dezsitanya | HU | Szabolcs-Szatmár-Bereg | 48 | 21.31667 | 0 | Europe/Budapest | populated place | ||
3055230 | Békáspuszta | HU | Baranya | 45.96707 | 18.48556 | 0 | Europe/Budapest | populated place | |||
715580 | Szabótanya | HU | Szabolcs-Szatmár-Bereg | 48.13714 | 22.5362 | 0 | Europe/Budapest | populated place | |||
3047164 | Olasz | Ahlass,Ahlaß,Hidor,Olasz | HU | Baranya | 46.00962 | 18.4144 | 0 | Europe/Budapest | populated place | ||
713997 | Vitézitelek | HU | Szabolcs-Szatmár-Bereg | 47.88333 | 22.1 | 0 | Europe/Budapest | populated place | |||
3048291 | Mátranovák | Matranovak,Matraterenye,Mátranovák,Mátraterenye | HU | Nógrád | 48.03809 | 19.98257 | 1972 | Europe/Budapest | populated place | ||
3054361 | Csarnóta | Crnota,Csarnota,Csarnóta,qiao er nuo tao,乔尔诺陶 | HU | Baranya | 45.89509 | 18.21644 | 0 | Europe/Budapest | populated place | ||
3054544 | Cégényitanya | HU | Pest | 47.43333 | 18.91667 | 0 | Europe/Budapest | populated place | |||
3054452 | Csáfordimalom | HU | Győr-Moson-Sopron | 47.41713 | 16.96168 | 0 | Europe/Budapest | populated place | |||
715592 | Szabolcstanya | HU | Szabolcs-Szatmár-Bereg | 48.1 | 21.65 | 0 | Europe/Budapest | populated place | |||
3054096 | Csikósház | HU | Somogy | 46.51667 | 17.56667 | 0 | Europe/Budapest | populated place | |||
714945 | Tarnaszentmiklós | Tarnaszentmiklos,Tarnaszentmiklós | HU | Heves | 47.53333 | 20.38333 | 0 | Europe/Budapest | populated place | ||
3053776 | Deákföldpuszta | HU | Győr-Moson-Sopron | 47.51667 | 17.18333 | 0 | Europe/Budapest | populated place | |||
3045573 | Sántosi Tanyák | HU | Somogy | 46.35 | 17.88333 | 0 | Europe/Budapest | populated place | |||
714355 | Uppony | Uppony | HU | Borsod-Abaúj-Zemplén | 48.21667 | 20.43333 | 0 | Europe/Budapest | populated place | ||
3052995 | Feketekapu | HU | Baranya | 45.95 | 18.66667 | 0 | Europe/Budapest | populated place | |||
3049568 | Kökény | Kokeny,Kökény | HU | Baranya | 46.00085 | 18.20487 | 0 | Europe/Budapest | populated place | ||
3045643 | Salgótarján | Baglyasalja,Salgotarjan,Salgotarjanas,Salgov-Tarjany,Schalgau,Schalgotarjan,Shal’gotar’jan,Shalgo Tar’yan,Shalgotarjan,Zagyvapalfalva,Zagyvapálfalva,salgwtaryyn,shalgwtaryan,shao er ge tao er yang,sharugotaruyan,syeolgoteolyan,Šalgotarjan,Šalgotarjanas,Šalgotarján,Šalgov-Tarjany,Шалготарян,Шалготарјан,Шальготарьян,Шалґотарян,שאלגוטאריאן,سالگوتاریئن,شالگوتاریان,შალგოტარიანი,シャルゴータルヤーン,紹爾戈陶爾揚,셜고터랸 | HU | Nógrád | 48.09872 | 19.80303 | 34627 | Europe/Budapest | seat of a first-order administrative division | ||
3055615 | Bakosgombapuszta | HU | Pest | 47.43333 | 18.91667 | 0 | Europe/Budapest | populated place | |||
3054767 | Boronkaypuszta | HU | Fejér | 46.98333 | 18.93333 | 0 | Europe/Budapest | populated place | |||
3054901 | Bogaras-dűlő | Bogaras | HU | Tolna | 46.63333 | 18.38333 | 0 | Europe/Budapest | populated place | ||
718073 | Loboclitanya | HU | Borsod-Abaúj-Zemplén | 48.2 | 20.83333 | 0 | Europe/Budapest | populated place | |||
722885 | Alsóvadász | Alsovadasz,Alsóvadász | HU | Borsod-Abaúj-Zemplén | 48.25 | 20.91667 | 0 | Europe/Budapest | populated place | ||
716550 | Partoskert | HU | Jász-Nagykun-Szolnok | 47.31667 | 20.93333 | 0 | Europe/Budapest | populated place | |||
713946 | Winterpuszta | Vinterpuszta,Winterpuszta | HU | Bekes County | 46.43333 | 21.05 | 0 | Europe/Budapest | populated place | ||
721253 | Ebüllőpuszta | HU | Bekes County | 46.88333 | 21.3 | 0 | Europe/Budapest | populated place | |||
3046681 | Pápasalamon | Papasalamon,Pápasalamon | HU | Veszprém | 47.22832 | 17.42384 | 0 | Europe/Budapest | populated place | ||
3052619 | Fityeház | Fityehaz,Fityehaza,Fityeház,Fityeháza | HU | Zala | 46.3768 | 16.9054 | 0 | Europe/Budapest | populated place | ||
3045215 | Somogyudvarhely | Dvorisce,Dvorišče,Somogyudvarhely | HU | Somogy | 46.17401 | 17.18861 | 967 | Europe/Budapest | populated place | ||
721682 | Csiderberek | HU | Jász-Nagykun-Szolnok | 47.06667 | 20.48333 | 0 | Europe/Budapest | populated place | |||
3053910 | Csörögimajor | Csorog,Csorogimajor,Csorogmajor,Csörög,Csörögimajor,Csörögmajor | HU | Pest | 47.73026 | 19.16695 | 0 | Europe/Budapest | populated place | ||
722159 | Bogdántanya | HU | Szabolcs-Szatmár-Bereg | 47.86667 | 21.85 | 0 | Europe/Budapest | populated place | |||
3056435 | Acsád | Acsad,Acsád,Jucad,Jučad | HU | Vas | 47.32493 | 16.7335 | 0 | Europe/Budapest | populated place | ||
718977 | Kisfokdűlő | HU | Jász-Nagykun-Szolnok | 47 | 20.63333 | 0 | Europe/Budapest | populated place | |||
716829 | Olajkútidűlő | HU | Jász-Nagykun-Szolnok | 46.86667 | 20.18333 | 0 | Europe/Budapest | populated place | |||
3054161 | Csertalakos | Csertalakos | HU | Zala | 46.64231 | 16.69882 | 0 | Europe/Budapest | populated place | ||
3049165 | Kulapuszta | HU | Fejér | 46.75476 | 18.4105 | 0 | Europe/Budapest | populated place | |||
3045259 | Somlyódűlő | HU | Komárom-Esztergom | 47.66667 | 18.81667 | 0 | Europe/Budapest | populated place | |||
721707 | Csernalj | HU | 48.13333 | 20.7 | 0 | Europe/Budapest | populated place | ||||
3051077 | Isaszeg | Isaszeg | HU | Pest | 47.53011 | 19.40205 | 11402 | Europe/Budapest | populated place | ||
3054004 | Csókakőmajor | HU | Vas | 47.23333 | 16.78333 | 0 | Europe/Budapest | populated place | |||
715133 | Szőllőtanya | HU | Jász-Nagykun-Szolnok | 47.51667 | 20.15 | 0 | Europe/Budapest | populated place |
**Exploring Hungary: A Geographer's Perspective**
Nestled in the heart of Central Europe, Hungary is a land of rich history, vibrant culture, and diverse landscapes. From the bustling streets of Budapest to the tranquil shores of Lake Balaton, Hungary's geography offers a tapestry of experiences waiting to be explored. As a geographer embarks on the journey to obtain data on Hungary's cities, regions, and geographical coordinates, a captivating narrative unfolds, revealing the country's unique features and dynamic environment. Join us as we delve into the geographical intricacies of Hungary.
Uncovering Urban Centers**
Hungary's urban centers serve as focal points of economic activity, cultural exchange, and social interaction. From the majestic architecture of Budapest to the historic charm of Pécs, these cities are vibrant hubs of innovation, education, and creativity. For a geographer, obtaining data on Hungary's cities involves not only mapping their geographical coordinates but also understanding the urban morphology, socio-economic dynamics, and cultural heritage of each urban center within the context of the country's geography.
Mapping Regional Diversity**
Beyond its urban centers, Hungary boasts a diverse range of geographical regions, each with its own distinct topography, climate, and natural resources. From the fertile plains of the Great Hungarian Plain to the rolling hills of the Transdanubia region, the country's landscape is characterized by contrasts and diversity. Hungary is divided into administrative regions, each with its own unique features and developmental challenges. The quest for data extends beyond numerical coordinates, encompassing the study of regional development, environmental conservation efforts, and the preservation of cultural heritage across Hungary's varied terrain.
Navigating Latitude and Longitude**
In the pursuit of geographical understanding, latitude and longitude serve as essential tools for navigating Hungary's diverse landscape. From the northern city of Miskolc to the southern town of Pécs, each geographical coordinate offers insights into Hungary's spatial distribution, climate patterns, and land use dynamics. For a geographer, acquiring accurate latitude and longitude data is essential for understanding spatial relationships, environmental gradients, and human-environment interactions across Hungary's dynamic geography.
Exploring Human-Environment Interactions**
Hungary's geography plays a fundamental role in shaping human activities and environmental dynamics. From sustainable agriculture practices in rural areas to the conservation of biodiversity in national parks, Hungary's geographical landscape reflects a delicate balance between human societies and the natural environment. As a geographer, the quest for data extends beyond physical geography, encompassing the study of land use changes, climate change impacts, and socio-economic adaptation strategies in Hungary's dynamic environment.
Conclusion: Embracing Hungary's Geography**
In the mosaic of Hungary's geography, the quest for data serves as a gateway to understanding the country's rich cultural heritage, environmental diversity, and sustainable development challenges. As we unravel the geographical nuances of this Central European gem, let us not only seek coordinates on a map but also embrace the spirit of exploration, discovery, and appreciation for Hungary's geography, which lies at the crossroads of history, culture, and natural beauty.
Download data files for Hungary's cities in CSV, SQL, XML and JSON formats
Understanding Hungary’s Geographic Landscape: A Data-Driven Exploration
Hungary, a landlocked country in Central Europe, is characterized by a rich cultural history and a diverse geographical landscape that ranges from its Great Plain to the mountainous regions in the north. As a geographer, understanding Hungary’s cities, regions, and departments—and their relationships to one another—provides key insights into the country’s urbanization, infrastructure, and environmental challenges. To effectively analyze these dynamics, obtaining accurate and detailed data is paramount.
By acquiring data on Hungary's cities, including their geographic coordinates, regions, and departments, researchers, planners, and policymakers can make more informed decisions. Whether you are studying urban development, transportation networks, or environmental factors, geographic data is essential to creating actionable insights. With access to this data in flexible formats like CSV, SQL, JSON, and XML, users can integrate and analyze this information effectively across a variety of platforms.
Hungary’s Administrative and Regional Structure: A Layered Approach
Hungary is divided into 19 counties (regions) and the capital city, Budapest, which holds a special administrative status. Each county is subdivided into municipalities, including cities, towns, and villages. The distribution of cities and towns across these regions is influenced by Hungary's geographical features, historical settlement patterns, and economic development.
For geographers and urban planners, understanding how these cities are distributed across Hungary’s regions is crucial. Cities like Budapest, Debrecen, and Szeged serve as major economic and cultural hubs, while smaller cities and towns in the regions support agriculture, manufacturing, and local commerce. By obtaining detailed data on the locations of these cities and towns, it is possible to analyze regional economic activities, identify growth patterns, and develop infrastructure strategies that cater to both urban and rural needs.
The integration of data from Hungary’s counties also provides important insights into the country’s administrative divisions. These divisions shape not only governance but also influence resource allocation, public services, and regional planning.
The Role of Latitude and Longitude in Geographic Analysis
Latitude and longitude data is a foundational element in geographic analysis. For Hungary, having precise coordinates for each city and town is crucial for mapping and analyzing spatial relationships. By using these coordinates, geographers and urban planners can understand how cities are positioned relative to one another and to key natural landmarks.
The geographic distribution of Hungary’s cities is highly relevant for urban planning and development. For example, understanding the relationship between Budapest, the country’s political and economic center, and other regional cities can help in evaluating transportation systems, the flow of goods, and regional economic connections. Moreover, by having latitude and longitude coordinates for cities in different regions, planners can identify areas that may be underserved in terms of infrastructure or public services, thus allowing for more efficient resource allocation.
Additionally, using geographic data to assess the location of Hungary's cities within its natural landscapes—such as the Danube River or the Carpathian Mountains—can provide valuable insights into the region’s vulnerability to natural disasters, such as flooding or landslides, and help devise appropriate disaster risk management plans.
Data Formats for Easy Access and Integration
For anyone working with geographic data, the ability to access and use data in flexible, compatible formats is essential. Whether the goal is to conduct spatial analysis, visualize urban development, or integrate data into decision-making systems, having Hungary’s geographic data available in formats such as CSV, SQL, JSON, and XML allows for smooth integration across various platforms.
- **CSV (Comma-Separated Values)** is a versatile, simple format that allows for the easy organization of tabular data. For instance, data about the cities of Hungary, including population sizes, geographical coordinates, and other key metrics, can be stored in CSV format. This format is easy to import into spreadsheet tools or databases for initial analysis.
- **SQL (Structured Query Language)** is perfect for managing and querying relational databases. SQL databases allow for the storage and retrieval of complex geographic data about Hungary’s cities, regions, and departments. Researchers and planners can use SQL to analyze relationships between different regions, track growth patterns, or assess the impact of infrastructure projects over time.
- **JSON (JavaScript Object Notation)** is a lightweight data format that is widely used in web applications. JSON is especially useful for developers who want to integrate Hungary’s geographic data into interactive maps or location-based services. JSON enables fast data transfer and is easy to parse, making it ideal for applications that require real-time updates.
- **XML (Extensible Markup Language)** is widely used for sharing structured data across systems. XML is particularly useful when working with hierarchical data, such as the relationship between cities, towns, and counties in Hungary. By using XML, different systems can easily exchange data, ensuring that geographic information is accessible across different platforms and applications.
How Geographic Data Can Influence Urban Planning and Regional Development
Geographic data is a powerful tool for improving urban planning and regional development in Hungary. By having detailed data about cities, regions, and departments, planners can make better decisions regarding land use, infrastructure development, and population growth.
In Hungary, rapid urbanization around Budapest and other major cities has led to increased pressure on transportation networks, housing, and public services. By analyzing geographic data, urban planners can identify areas where additional infrastructure is needed, such as roads, public transit systems, or healthcare facilities. Additionally, geographic data can help assess the sustainability of urban expansion and its potential environmental impact.
For rural areas, geographic data can help identify opportunities for economic development, such as promoting agriculture, manufacturing, or tourism. Smaller cities and towns in regions like Somogy or Zala may benefit from infrastructure projects that connect them to larger urban centers, creating a more integrated national economy.
Moreover, geographic data can be used to assess environmental factors, such as climate change, pollution, and natural resource management. By mapping cities, natural landscapes, and infrastructure, researchers can gain insights into the environmental pressures faced by different regions and develop strategies to mitigate the effects of industrialization and urban sprawl.
Leveraging Geographic Data for Environmental Management and Disaster Preparedness
Hungary’s diverse geography presents both opportunities and challenges for environmental management. The Danube River and the Tisza River, which flow through Hungary, provide essential water resources but also pose flood risks. The country’s proximity to the Carpathian Mountains adds to its vulnerability to landslides and other natural hazards. Geographic data, including the precise location of cities and infrastructure, plays a crucial role in identifying areas most at risk and developing appropriate disaster preparedness plans.
By using geographic data to monitor flood-prone regions or identify areas vulnerable to soil erosion or deforestation, Hungary can implement more targeted conservation efforts and develop early warning systems. Geographic information systems (GIS) can be particularly useful for simulating the effects of different disaster scenarios, allowing authorities to prepare and respond effectively.
Conclusion
Hungary’s geography—marked by its rivers, mountains, and dynamic urban areas—offers a rich field of study for geographers, urban planners, and policymakers. Obtaining detailed data about its cities, regions, and departments, including precise latitude and longitude coordinates, is crucial for making informed decisions about development, infrastructure, and environmental management. With the availability of this data in flexible formats like CSV, SQL, JSON, and XML, stakeholders can leverage the information to drive sustainable development, enhance disaster preparedness, and improve overall regional planning. By unlocking the power of geographic data, Hungary can continue to evolve while balancing its environmental and urban challenges.