Poland cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 19 January 2025.
Below is a list of 100 prominent cities in Poland. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 43401 places in Poland 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 Poland is Warsaw.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
757227 | Szulbory | Szulbory | PL | Mazovia | Powiat płocki | 52.59988 | 20.05354 | 0 | Europe/Warsaw | populated place | |
3091702 | Mirosławice | Miroslawice,Mirosławice,Morschelwitz-Rosental,Mörschelwitz-Rosental,Rosenborn | PL | Lower Silesia | Powiat wrocławski | 50.95507 | 16.78247 | 0 | Europe/Warsaw | populated place | |
772462 | Furmanów | Furmanow,Furmanów | PL | Świętokrzyskie | Powiat konecki | 51.19124 | 20.61134 | 0 | Europe/Warsaw | populated place | |
3098778 | Góry | PL | Łódź Voivodeship | Powiat poddębicki | 52.03063 | 18.73907 | 0 | Europe/Warsaw | populated place | ||
3099362 | Giętkowizna | PL | Silesia | Powiat kłobucki | 51.05909 | 18.74989 | 0 | Europe/Warsaw | populated place | ||
773610 | Dąbrowa | PL | Mazovia | Powiat nowodworski | 52.33333 | 20.58333 | 0 | Europe/Warsaw | populated place | ||
3082026 | Wilamów | PL | Łódź Voivodeship | Powiat poddębicki | 52.04584 | 18.75813 | 0 | Europe/Warsaw | populated place | ||
758146 | Stojewsko | Stojensko,Stojewsko,Stojeńsko | PL | Świętokrzyskie | Powiat włoszczowski | 50.90927 | 20.15199 | 0 | Europe/Warsaw | populated place | |
3097281 | Jędrzychowice | Jedrzychowice,Jędrzychowice | PL | Lower Silesia | Powiat strzeliński | 50.85397 | 17.18519 | 0 | Europe/Warsaw | populated place | |
3101545 | Chrzanów | PL | Greater Poland | Powiat pleszewski | 51.83324 | 17.81713 | 0 | Europe/Warsaw | populated place | ||
11696150 | Górka Stogniowska | PL | Lesser Poland | Powiat proszowicki | 50.19017 | 20.34483 | 0 | Europe/Warsaw | populated place | ||
753670 | Zawadka | PL | Lublin | Powiat biłgorajski | 50.40173 | 22.8174 | 0 | Europe/Warsaw | populated place | ||
3100437 | Długie Pole | Dlugie Pole,Długie Pole,Langfelde | PL | Pomerania | Powiat gdański | 54.21782 | 18.86629 | 0 | Europe/Warsaw | populated place | |
3096891 | Kalinowo | Goldbach,Kalinowo | PL | Lubusz | Powiat świebodziński | 52.20985 | 15.37912 | 0 | Europe/Warsaw | populated place | |
11703543 | Stara Łomża Nad Rzeką | PL | Podlasie | Powiat Łomżyński | 53.15871 | 22.11436 | 0 | Europe/Warsaw | populated place | ||
762263 | Piętki Basie | Pietki Basie,Piętki Basie | PL | Podlasie | Powiat wysokomazowiecki | 52.78333 | 22.55 | 0 | Europe/Warsaw | populated place | |
3084005 | Święta Katarzyna | Kattern,Swieta Katarzyna,Świeta Katarzyna | PL | Lower Silesia | Powiat wrocławski | 51.02596 | 17.11464 | 2000 | Europe/Warsaw | populated place | |
7287835 | Osiedle Kresy | PL | West Pomerania | Powiat policki | 53.38678 | 14.48075 | 0 | Europe/Warsaw | populated place | ||
760514 | Rejsztokiemie | Rejsztokiemie | PL | Podlasie | Powiat sejneński | 54.19775 | 23.20542 | 0 | Europe/Warsaw | populated place | |
766936 | Kużawka | Kuzawka,Kużawka | PL | Lublin | Powiat bialski | 52.11099 | 23.54236 | 0 | Europe/Warsaw | populated place | |
774000 | Czaczki | PL | Podlasie | Powiat białostocki | 52.96667 | 23.06667 | 0 | Europe/Warsaw | populated place | ||
3096562 | Karsewo | Karsewo | PL | Greater Poland | Powiat gnieźnieński | 52.42447 | 17.7001 | 0 | Europe/Warsaw | populated place | |
3094438 | Krzywań | Krzywan,Krzywań | PL | Pomerania | Powiat słupski | 54.41139 | 17.15448 | 0 | Europe/Warsaw | populated place | |
3089964 | Orzeszków | Orzeszkow,Orzeszków | PL | Lower Silesia | Powiat wołowski | 51.40099 | 16.50676 | 0 | Europe/Warsaw | populated place | |
757677 | Świdry | Schwiddern,Swidry,Świdry | PL | Warmia-Masuria | Powiat giżycki | 54.08683 | 21.78323 | 0 | Europe/Warsaw | populated place | |
758399 | Stankuny | Stankuny | PL | Podlasie | Powiat suwalski | 54.39956 | 22.84579 | 0 | Europe/Warsaw | populated place | |
3101367 | Cieplice Śląskie Zdrój | Bad Warmbrunn,Cieplice Slaskie Zdroj,Cieplice Slaskie-Zdroj,Cieplice Śląskie Zdrój,Cieplice Śląskie-Zdrój,Teplice,Warmbrunn,Теплице | PL | Lower Silesia | Jelenia Góra | 50.86545 | 15.68367 | 15000 | Europe/Warsaw | populated place | |
765581 | Mączewo | Maczewo,Monczewo,Mączewo | PL | Mazovia | Powiat mławski | 52.86055 | 20.24959 | 0 | Europe/Warsaw | populated place | |
772029 | Gniewniewice Nowe | PL | Mazovia | Powiat nowodworski | 52.41132 | 20.53602 | 0 | Europe/Warsaw | populated place | ||
3082765 | Urzecze | Urzecze | PL | Łódź Voivodeship | powiat Łowicki | 52.10741 | 19.7552 | 0 | Europe/Warsaw | populated place | |
757353 | Szczyty Nowodwory | Szczyty Nowodwory | PL | Podlasie | Powiat bielski | 52.73735 | 23.3567 | 0 | Europe/Warsaw | populated place | |
3083743 | Szczytniki Duchowne | Szczytniki Duchowne | PL | Greater Poland | Powiat gnieźnieński | 52.51905 | 17.67028 | 0 | Europe/Warsaw | populated place | |
768338 | Komarówka Podlaska | PL | Lublin | Powiat radzyński | 51.80315 | 22.94392 | 1300 | Europe/Warsaw | populated place | ||
774934 | Budy Brodzkie | Budy Brodzkie | PL | Świętokrzyskie | Powiat starachowicki | 51.04096 | 21.22944 | 0 | Europe/Warsaw | populated place | |
767308 | Krzekoty | Gross Hasselberg,Krzekoty | PL | Warmia-Masuria | Powiat braniewski | 54.33953 | 20.1662 | 0 | Europe/Warsaw | populated place | |
3080672 | Żarki Wielkie | Gross Sarchen,Gross Särchen,Zarki Wielkie,Żarki Wielkie | PL | Lubusz | Powiat żarski | 51.59382 | 14.7603 | 556 | Europe/Warsaw | populated place | |
775369 | Branew Szlachecka | Branew,Branew Szlachecka | PL | Lublin | Powiat janowski | 50.73692 | 22.55795 | 0 | Europe/Warsaw | populated place | |
3081180 | Wymysłowo Górne | PL | Greater Poland | Powiat gnieźnieński | 52.55 | 17.76667 | 0 | Europe/Warsaw | populated place | ||
3103346 | Biesiekierz | Biesiekierz,Biziker | PL | West Pomerania | Powiat koszaliński | 54.13308 | 16.03909 | 998 | Europe/Warsaw | populated place | |
776716 | Alojzów | PL | Lublin | Powiat chełmski | 50.99085 | 23.551 | 0 | Europe/Warsaw | populated place | ||
771053 | Hoczew | Hoczew Kolo Leska,Hoczew Koło Leska | PL | Subcarpathia | Powiat leski | 49.42449 | 22.32473 | 0 | Europe/Warsaw | populated place | |
769425 | Katarzynów | Katarzynow,Katarzynów | PL | Mazovia | Powiat grójecki | 51.74892 | 20.6147 | 0 | Europe/Warsaw | populated place | |
3086880 | Rozmierz | Rozmierz | PL | Opole Voivodeship | Powiat strzelecki | 50.55934 | 18.24188 | 0 | Europe/Warsaw | populated place | |
3082115 | Wierzchowiska | Wierzchowiska | PL | Kujawsko-Pomorskie | Powiat rypiński | 52.9525 | 19.43877 | 0 | Europe/Warsaw | populated place | |
3094506 | Krzepów | Krzepow,Krzepów,Schrepau,Schwarztal | PL | Lower Silesia | Powiat głogowski | 51.64727 | 16.14261 | 0 | Europe/Warsaw | populated place | |
3091215 | Myszkowice | Myszkowice | PL | Lower Silesia | Powiat strzeliński | 50.69709 | 16.95933 | 0 | Europe/Warsaw | populated place | |
3090817 | Nosowo | Nassow,Nosowo | PL | West Pomerania | Powiat koszaliński | 54.10471 | 16.00428 | 0 | Europe/Warsaw | populated place | |
3103117 | Bodzanów | PL | Opole Voivodeship | Powiat nyski | 50.34174 | 17.38209 | 0 | Europe/Warsaw | populated place | ||
768878 | Kochany | PL | Subcarpathia | Powiat stalowowolski | 50.65819 | 22.17752 | 0 | Europe/Warsaw | populated place | ||
3089906 | Osiek | PL | Kujawsko-Pomorskie | Powiat brodnicki | 53.16921 | 19.38649 | 990 | Europe/Warsaw | populated place | ||
3095884 | Kocin Nowy | PL | Silesia | Powiat częstochowski | 50.94437 | 19.10557 | 0 | Europe/Warsaw | populated place | ||
754561 | Wymysłów | PL | Świętokrzyskie | Powiat ostrowiecki | 50.9694 | 21.34266 | 504 | Europe/Warsaw | populated place | ||
769099 | Klementynów | Klementynow,Klementynów | PL | Mazovia | Powiat kozienicki | 51.61969 | 21.25612 | 0 | Europe/Warsaw | populated place | |
3098898 | Góra | Gora,Guhrau,Gura,Góra,Gůra,gu la,ku ra,Гора,Гура,Ґура,กูรา,古拉 | PL | Lower Silesia | Powiat górowski | 51.66638 | 16.53494 | 12668 | Europe/Warsaw | populated place | |
3081770 | Wizany | Wizany | PL | Greater Poland | Powiat czarnkowsko-trzcianecki | 52.93218 | 16.09367 | 0 | Europe/Warsaw | populated place | |
761380 | Potasznia | Potasznia | PL | Podlasie | Powiat suwalski | 54.14729 | 22.86303 | 0 | Europe/Warsaw | populated place | |
765249 | Marcinówka | Marcinowka,Marcinówka | PL | Lublin | Powiat zamojski | 50.88762 | 23.41446 | 0 | Europe/Warsaw | populated place | |
756920 | Tłuste | PL | Mazovia | Powiat grodziski | 52.15034 | 20.61567 | 361 | Europe/Warsaw | populated place | ||
3095358 | Konary | PL | Greater Poland | Powiat rawicki | 51.6569 | 17.04185 | 1100 | Europe/Warsaw | populated place | ||
3095010 | Kotliny | PL | Łódź Voivodeship | Powiat łódzki wschodni | 51.64583 | 19.71454 | 0 | Europe/Warsaw | populated place | ||
765650 | Łysaków | PL | Subcarpathia | Powiat mielecki | 50.35576 | 21.29803 | 0 | Europe/Warsaw | populated place | ||
766086 | Liwki Szlacheckie | PL | Lublin | 52.13054 | 22.80865 | 0 | Europe/Warsaw | populated place | |||
3103314 | Binino | Binino | PL | Greater Poland | Powiat szamotulski | 52.64066 | 16.38152 | 0 | Europe/Warsaw | populated place | |
3087327 | Raszyn | PL | Lubusz | Powiat żarski | 51.81053 | 14.94244 | 0 | Europe/Warsaw | populated place | ||
3091811 | Mikuszowice | Mikuszowice Slaskie,Mikuszowice Śląskie | PL | Silesia | Bielsko-Biała | 49.78115 | 19.05287 | 0 | Europe/Warsaw | populated place | |
755512 | Witowy Most | Witowy Most | PL | Mazovia | Powiat ostrołęcki | 53.12124 | 21.30248 | 0 | Europe/Warsaw | populated place | |
759180 | Siwki | PL | Mazovia | Powiat wołomiński | 52.31667 | 21.13333 | 0 | Europe/Warsaw | populated place | ||
3091698 | Mirostowice Dolne | Mirostowice Dolne,Nieder Ullersdorf,Ulanowice Dolne | PL | Lubusz | Powiat żarski | 51.57053 | 15.1472 | 0 | Europe/Warsaw | populated place | |
772189 | Gładczyn Szlachecki | Gladczyn Szlachecki,Gładczyn Szlachecki | PL | Mazovia | Powiat pułtuski | 52.6517 | 21.18864 | 0 | Europe/Warsaw | populated place | |
771189 | Guzówka | Guzowka,Guzówka | PL | Lublin | Powiat lubelski | 50.86217 | 22.69126 | 0 | Europe/Warsaw | populated place | |
3081993 | Wilczków | PL | Łódź Voivodeship | Powiat sieradzki | 51.83599 | 18.57634 | 0 | Europe/Warsaw | populated place | ||
12451015 | Rudniki | Eisenhammer | PL | Pomerania | Powiat człuchowski | 53.82501 | 17.17077 | 0 | Europe/Warsaw | populated place | |
758386 | Stara Huta | PL | Świętokrzyskie | Powiat kielecki | 50.85049 | 21.01097 | 0 | Europe/Warsaw | populated place | ||
3093173 | Liszki | Liszki,Waldkathen | PL | Pomerania | Powiat kwidzyński | 53.76667 | 19.16667 | 0 | Europe/Warsaw | populated place | |
3101198 | Czarków | PL | Silesia | Powiat pszczyński | 50.01833 | 18.90678 | 1924 | Europe/Warsaw | populated place | ||
768462 | Kolonia Sobolew | PL | Lublin | Powiat lubartowski | 51.51667 | 22.46667 | 0 | Europe/Warsaw | populated place | ||
759956 | Ruszków | Ruszkow,Ruszków | PL | Świętokrzyskie | Powiat opatowski | 50.86353 | 21.34172 | 0 | Europe/Warsaw | populated place | |
3093336 | Lipie | Lipie | PL | West Pomerania | Powiat świdwiński | 53.83266 | 15.94103 | 0 | Europe/Warsaw | populated place | |
3085104 | Sowina Błotna | Sowina Blotna,Sowina Błotna | PL | Greater Poland | Powiat pleszewski | 51.83518 | 17.79474 | 0 | Europe/Warsaw | populated place | |
753942 | Zaleszany | PL | Podlasie | Powiat hajnowski | 52.63343 | 23.31007 | 99 | Europe/Warsaw | populated place | ||
766098 | Liszno | PL | Lublin | Powiat chełmski | 51.11414 | 23.11317 | 0 | Europe/Warsaw | populated place | ||
3096065 | Kłodno | PL | Pomerania | Powiat kartuski | 54.21316 | 17.75494 | 0 | Europe/Warsaw | populated place | ||
3092132 | Męcinka | PL | Lower Silesia | Powiat jaworski | 51.0736 | 16.09677 | 747 | Europe/Warsaw | populated place | ||
753390 | Żelechy | PL | Podlasie | Powiat Łomżyński | 53.17795 | 22.24337 | 0 | Europe/Warsaw | populated place | ||
9613450 | Przewóz | PL | Mazovia | Powiat kozienicki | 51.55554 | 21.75971 | 110 | 0 | Europe/Warsaw | populated place | |
3099062 | Godziszka | PL | Silesia | Powiat Bielski | 49.71288 | 19.07587 | 450 | 2222 | Europe/Warsaw | populated place | |
3086835 | Różyny | Rosenberg,Rozyny,Różyny | PL | Pomerania | Powiat gdański | 54.20784 | 18.65702 | 0 | Europe/Warsaw | populated place | |
3098505 | Graboszewo | Graboszewo | PL | Greater Poland | Powiat słupecki | 52.27262 | 17.75773 | 0 | Europe/Warsaw | populated place | |
3100615 | Dęba Majstry | PL | Łódź Voivodeship | Powiat piotrkowski | 51.11306 | 19.87928 | 0 | Europe/Warsaw | populated place | ||
757998 | Strzałkowo | Hinzbruch,Strzalkowo,Strzałkowo | PL | Warmia-Masuria | Powiat ostródzki | 53.79538 | 20.05159 | 0 | Europe/Warsaw | populated place | |
11952152 | Bucze | Bautsch | PL | Lower Silesia | Powiat polkowicki | 51.61158 | 16.21568 | 0 | Europe/Warsaw | populated place | |
3102194 | Budzin | PL | Silesia | Powiat rybnicki | 50.10713 | 18.30559 | 0 | Europe/Warsaw | populated place | ||
3080318 | Zelgoszcz | PL | Łódź Voivodeship | Powiat poddębicki | 51.99529 | 18.89554 | 0 | Europe/Warsaw | populated place | ||
3096813 | Kamienice Nowe | Kamienice Nowe | PL | Greater Poland | Powiat ostrowski | 51.63238 | 17.88333 | 0 | Europe/Warsaw | populated place | |
3088779 | Pluskowęsy | Pluskowesy,Pluskowęsy | PL | Kujawsko-Pomorskie | Powiat Toruński | 53.17968 | 18.66541 | 0 | Europe/Warsaw | populated place | |
3102157 | Bugaj | PL | Łódź Voivodeship | Powiat radomszczański | 50.91884 | 19.62656 | 0 | Europe/Warsaw | populated place | ||
760144 | Ruda | PL | Mazovia | Powiat siedlecki | 52.05706 | 22.0546 | 0 | Europe/Warsaw | populated place | ||
3092487 | Malanowo Stare | Malanowo Stare | PL | Mazovia | Powiat sierpecki | 52.78662 | 19.51722 | 0 | Europe/Warsaw | populated place | |
3085533 | Słonawy | Slonawy,Słonawy | PL | Greater Poland | Powiat obornicki | 52.66353 | 16.76029 | 0 | Europe/Warsaw | populated place | |
760071 | Rudki | PL | Świętokrzyskie | Powiat kielecki | 50.89253 | 21.09298 | 0 | Europe/Warsaw | populated place |
**Exploring the Geographical Landscape of Poland: A Personal Perspective**
Introduction: Unveiling the Geographical Charms of Poland**
As a geographer deeply fascinated by the intricate tapestry of landscapes and cultures, I find myself drawn to the enchanting country of Poland. In this article, we embark on a journey to uncover the geographical wonders of Poland, with a particular focus on acquiring data regarding its cities, regions, and departments, as well as the latitude and longitude of each urban center. Through this exploration, we aim to gain a deeper understanding of Poland's diverse geography and its impact on the country's social, economic, and environmental dynamics.
Mapping Urban Centers: Tracing the Pulse of Polish Society**
Poland's urban centers serve as vibrant hubs of activity and diversity, each with its own unique character and charm. From the historic streets of Warsaw, the capital city, to the picturesque beauty of Krakow and the bustling port city of Gdansk, these urban areas offer insights into the country's rich cultural heritage and dynamic urbanization processes. By mapping the regions and departments encompassing these cities, we can analyze patterns of population distribution, economic development, and infrastructure connectivity, shedding light on the spatial dynamics of Polish society.
Charting Latitude and Longitude: Navigating Poland's Varied Terrain**
Acquiring precise latitude and longitude data for each city in Poland is essential for navigating the country's diverse terrain with accuracy and efficiency. From the lowlands of the north to the majestic Tatra Mountains in the south, Poland's landscape is characterized by a variety of geographical features, including rivers, lakes, forests, and plains. These geographical coordinates not only facilitate navigation but also enable us to identify patterns of land use, environmental conservation, and natural resource management, contributing to sustainable development efforts across the country.
Exploring Regional Diversity: From Masuria to Silesia**
Beyond its urban centers, Poland boasts a wealth of regional diversity, each with its own unique landscapes, ecosystems, and cultural traditions. In the north, the pristine lakes of Masuria offer opportunities for water-based recreation and tourism, while in the south, the industrial heartland of Silesia reflects the country's rich industrial heritage and economic significance. By exploring the spatial distribution of cities and towns across these regions, we can gain insights into the historical, economic, and environmental factors shaping Poland's regional diversity and territorial cohesion.
Conclusion: Embracing the Geographical Richness of Poland**
In conclusion, Poland captivates the imagination with its diverse geography, rich history, and vibrant culture. As we continue to explore the country's landscapes and communities as geographers, let us embrace the challenge of understanding and preserving the natural and cultural heritage of this fascinating country for future generations to enjoy.
Download data files for Poland's cities in CSV, SQL, XML and JSON formats
Understanding the Geography of Poland: A Geographical Data Approach
Poland, located at the heart of Central Europe, is a country with a rich and diverse landscape, ranging from vast plains in the north to the towering peaks of the Carpathian and Sudetes mountains in the south. Its geographical position has made it a crossroads for various cultures and civilizations throughout history. For geographers, mapping and analyzing the cities, regions, and departments of Poland provides valuable insights into how the country's geography shapes its population distribution, infrastructure, and economic activities. Access to comprehensive geographic data, including the latitude and longitude of key cities, is essential for both academic research and practical decision-making related to urban planning, environmental management, and resource allocation.
The Administrative and Geographical Structure of Poland
Poland is divided into 16 administrative provinces, or voivodeships, each of which contains a diverse range of geographic features and cultural landscapes. The regions vary in terms of population density, economic development, and natural resources. Key cities such as Warsaw, the capital, Kraków, Gdańsk, and Wrocław, are central to the country’s economy, while smaller towns and rural areas contribute to Poland’s agricultural base. The voivodeships are further subdivided into counties (powiaty) and communes (gminy), creating a hierarchical system of local governance.
Poland’s diverse geography plays a central role in the distribution of these urban and rural areas. For example, the north and west of Poland are home to flat plains and a large agricultural base, while the southern regions, particularly around Kraków and Zakopane, are mountainous, offering opportunities for tourism and natural resource extraction. The central part of the country is dominated by the Vistula River and its surrounding plains, which has historically fostered the development of the country’s most important cities, including Warsaw.
Latitude and Longitude: Pinpointing Poland’s Cities and Regions
Latitude and longitude coordinates are key tools for accurately mapping the cities and regions of Poland. With precise coordinates for each city and town, geographers can analyze the spatial relationships between urban centers, infrastructure networks, and natural features such as rivers, mountains, and forests.
For example, by obtaining the latitude and longitude of Warsaw, the capital, planners can examine the city’s relationship to major transportation routes, including highways and railways, as well as its proximity to natural resources like the Vistula River. Similarly, the geographic data of cities like Gdańsk, a port city on the Baltic Sea, allows researchers to understand its role in international trade and its connection to global markets. Latitude and longitude coordinates are equally crucial for assessing Poland’s rural areas, such as those in the eastern voivodeships, where population density is lower, and urbanization is less pronounced.
Moreover, understanding the exact geographic coordinates of cities across Poland is essential for disaster management, particularly in regions prone to flooding, landslides, or other natural hazards. Accurate geographic data supports planning efforts aimed at minimizing the impact of these events on local populations and infrastructure.
The Importance of Geographic Data Formats for Research and Planning
For geographic data to be effectively used in research, urban planning, and decision-making, it must be available in multiple formats that can be easily integrated into different systems and platforms. Providing data on the cities, regions, and departments of Poland in formats such as CSV, SQL, JSON, and XML allows users to leverage the data in various research tools and applications.
- **CSV (Comma-Separated Values):** CSV files are one of the most accessible formats for organizing geographic data. These files can store city names, population numbers, geographic coordinates, and other essential data points in an easy-to-read, tabular format. CSV files are compatible with a wide range of data analysis tools, including spreadsheets and GIS software, making them ideal for quick analysis and basic data visualization.
- **SQL (Structured Query Language):** SQL is an essential tool for working with large datasets stored in relational databases. For example, SQL allows researchers and urban planners to query geographic data from various voivodeships, track population growth, and analyze the relationship between urban centers and surrounding rural areas. SQL is particularly useful for spatial analysis and creating geographic models that can predict future urban expansion or infrastructure needs.
- **JSON (JavaScript Object Notation):** JSON is widely used in web applications and real-time data systems. By offering geographic data in JSON format, developers can create interactive maps, data visualizations, or real-time systems that display geographic information about Poland’s cities and regions. JSON is well-suited for online platforms that require frequent updates and dynamic data presentations.
- **XML (Extensible Markup Language):** XML is ideal for structuring and sharing complex geographic data. It is especially useful for hierarchical datasets, such as administrative boundaries, transportation networks, and environmental factors. XML allows for the seamless exchange of data between different systems and platforms, facilitating collaborative research and data sharing across various institutions.
By providing geographic data for Poland in these flexible formats, it ensures that the information is accessible to a wide range of users, including government agencies, researchers, urban planners, and developers. This adaptability enhances the ability to analyze and use geographic data in ways that suit specific needs, from academic research to practical urban development.
A Comprehensive Database for Poland’s Geography
A well-organized and comprehensive geographic database for Poland is essential for understanding the spatial dynamics of the country. Such a database should include detailed information on the cities, regions, and departments, as well as critical geographic features like rivers, mountains, and infrastructure. The availability of this data provides geographers, policymakers, and urban planners with the tools they need to make informed decisions about development, resource allocation, and environmental conservation.
For instance, comparing the development of cities like Warsaw, Kraków, and Wrocław with more rural regions in the east, such as Lubusz Voivodeship or Podlaskie, can reveal important insights into urbanization patterns, infrastructure needs, and regional disparities. Similarly, analyzing geographic data related to Poland’s rivers and transport corridors can inform decisions about how best to manage the country’s natural resources and develop its infrastructure in a sustainable way.
Having access to this geographic data in formats like CSV, SQL, JSON, and XML ensures that it can be easily integrated into GIS systems, analytical tools, and decision-making platforms. Whether used for planning urban expansions, managing natural resources, or studying environmental changes, a comprehensive database is crucial for ensuring that Poland’s development is both informed and sustainable.
Conclusion
Poland’s varied geography, from its bustling urban centers to its rural landscapes, presents both challenges and opportunities for urban planning, resource management, and environmental conservation. By obtaining accurate geographic data on Poland’s cities, regions, and departments—including their latitude and longitude coordinates—geographers, researchers, and policymakers can gain valuable insights into the country’s spatial dynamics. Offering this data in flexible formats such as CSV, SQL, JSON, and XML ensures that it is easily accessible, adaptable, and useful for a wide range of applications, from academic research to practical development projects. A data-driven approach to understanding Poland’s geography helps guide the country toward a balanced, sustainable future.