Moldova cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats
Last update : 20 January 2026.
Below is a list of 100 prominent cities in Moldova. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 1788 places in Moldova 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 Excel (.xlsx), .csv, .json, .xml and .sql formats. Notable Cities: The capital of Moldova is Chisinau.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 617298 | Sturzeni | Studzeny,Sturdzeny,Sturdzyany,Sturzen’,Sturzeni,Sturzeny,Sturzen’,Стурзены | MD | Rîşcani | 47.9171 | 27.46133 | 0 | Europe/Chisinau | populated place | ||
| 618469 | Butor | Butor,Butory | MD | Transnistria | 47.04225 | 29.40528 | 0 | Europe/Chisinau | populated place | ||
| 617670 | Târşiţeii Noui | Mashkovtsy,Novyye Tyrshitsei,TirsiteiiNoi,Tyrshitsey,Tyrshitsey Nouy,Tyrshitsey-Nou,TîrşiţeiiNoi | MD | Teleneşti | 47.68222 | 28.57222 | 0 | Europe/Chisinau | populated place | ||
| 830825 | Ulmul Mic | Malaja Ul’ma,Malaya Ul’ma,Malaya Ul’ma,Ulmul Mic,Малая Ульма | MD | Transnistria | 47.75333 | 29.12162 | 0 | Europe/Chisinau | populated place | ||
| 618516 | Bravicea | Bravicea,Bravicha,Bravichi,Bravitsa,Бравича | MD | Călăraşi | 47.36082 | 28.43645 | 0 | Europe/Chisinau | populated place | ||
| 618548 | Bogzeşti | Bogzesht’,Bogzeshty,Bogzesht’,Bogzesti,Bogzeşti,Богзешты | MD | Călăraşi | 47.42176 | 28.42713 | 0 | Europe/Chisinau | populated place | ||
| 617818 | Meşeni | Meseni,Meshen’,Mesheny,Meshen’,Meşeni,Мешены | MD | Rezina | 47.66336 | 28.63755 | 0 | Europe/Chisinau | populated place | ||
| 618215 | Gura Căinarului | Gura Cainairi,Gura Cainari,Gura Cainarului,Gura Căinari,Gura Căinarului,Gura Kainaruluy,Gura Kaynaruluy,Gura-Kainar’,Gura-Kainar’,Gura-Kajnaruluj,Gura-Kaynar’,Gura-Kaynari,Gura-Kaynarskiy,Gura-Kaynaruluy,Gura-Kaynary,Gura-Kaynar’,Гура-Кайнарулуй | MD | Floreşti | 47.86318 | 28.18311 | 0 | Europe/Chisinau | populated place | ||
| 831191 | Şestaci | Sestaci,Shestaki,Şestaci,Шестаки | MD | Sîngerei | 47.62248 | 28.28981 | 0 | Europe/Chisinau | populated place | ||
| 864989 | Cazaclia | MD | Cahul | 45.97139 | 28.33917 | 0 | Europe/Chisinau | populated place | |||
| 618272 | Hîrceşti | Gircheshty,Gyrchesht’,Gyrchesht’,Gyrchesti,Harcesti,Hircesti,Hârceşti,Hîrceşti,Гирчешты | MD | Ungheni | 47.39417 | 28.08658 | 0 | Europe/Chisinau | populated place | ||
| 617064 | Hârjău | Erzhovo,Harjau,Hirjau,Hârjău,Hîrjău,Yerzheu,Yerzhev,Yerzhovo,Ержово | MD | Transnistria | 47.80476 | 29.00771 | 0 | Europe/Chisinau | populated place | ||
| 618304 | Hansca | Gansk,Hansca,Hanul Vechi,Hanul Vechiu,Hunsca,Khanska,Khanul-Veke,Kutuzov,Staryy-Khanul,Ганск | MD | Ialoveni | 46.83318 | 28.75136 | 0 | Europe/Chisinau | populated place | ||
| 618573 | Berlinţi | Berlincy,Berlinti,Berlintsy,Berlinţi,Берлинцы | MD | Briceni | 48.31049 | 26.93698 | 0 | Europe/Chisinau | populated place | ||
| 617549 | Progress | Domniy,Progress,Slobodka,Slobodka Domniy,Slobozia Domnei,Прогресс | MD | Orhei | 47.35491 | 28.81429 | 0 | Europe/Chisinau | populated place | ||
| 618060 | Cobani | Cobani,Cubani,Koban’,Koban’,Kuban’,Kubani,Kuban’,Кобань | MD | Rîşcani | 47.76718 | 27.32195 | 0 | Europe/Chisinau | populated place | ||
| 617085 | Iagorlâc | Iagorlac,Iagorlic,Iagorlâc,Iagorlîc,Jagorlyk,Yagorlyk,Ягорлык | MD | Transnistria | 47.39038 | 29.16064 | 0 | Europe/Chisinau | populated place | ||
| 829598 | Stălineşti | Stalineshty,Stalinesti,Stălineşti,Сталинешты | MD | Briceni | 48.33549 | 27.26539 | 0 | Europe/Chisinau | populated place | ||
| 617874 | Lupăria | Luparia,Luparija,Lupariya,Lupăria,Лупария | MD | Rîşcani | 47.87793 | 27.55428 | 0 | Europe/Chisinau | populated place | ||
| 829937 | Afanasievca | Afanas’evka,Afanas’yevka,Afanasievca,Afanas’yevka,Афанасьевка | MD | Transnistria | 47.32272 | 29.25345 | 0 | Europe/Chisinau | populated place | ||
| 618220 | Hruşca | Grushka,Hrusca,Hruşca,Khrushka,Грушка | MD | Floreşti | 48.11176 | 28.57095 | 0 | Europe/Chisinau | populated place | ||
| 617883 | Pelivan | Pelivan | MD | Orhei | 47.4078 | 28.7786 | 0 | Europe/Chisinau | populated place | ||
| 830817 | Novaia Jizni | Novaia Jizni,Novaja Zhizn’,Novaya Zhizn’,Novaya Zhizn’,Новая Жизнь | MD | Transnistria | 47.65558 | 29.07818 | 0 | Europe/Chisinau | populated place | ||
| 617553 | Maiscoe | Fundoaya,Maiscoe,Majskoe,Mayskoye,Principesa Elena,Майское | MD | Drochia | 47.91153 | 28.04829 | 0 | Europe/Chisinau | populated place | ||
| 617345 | Bilicenii Vechi | Belichany,Biliceni,Bilicenii Vechi,Bilichen’,Bilicheni,Bilichen’,Bliceni,Gilicheny,Starye Bilicheny,Staryye Bilicheny,Старые Биличены | MD | Sîngerei | 47.6558 | 28.04734 | 15479 | Europe/Chisinau | populated place | ||
| 617946 | Cupcui | Copcui,Cupcui,Kopkuy,Kupkuj,Kupkuy,Купкуй | MD | Leova | 46.51705 | 28.35814 | 0 | Europe/Chisinau | populated place | ||
| 617465 | Sămăşcani | Samascan,Samascani,Samashkan’ De Sus,Samashkani’-De-Sus,Samashkani’-De-Sus,Samashkany,Samashkan’ De Sus,Samaşcan,Semeshkani,Sămăşcani,Самашканы | MD | Şoldăneşti | 47.75476 | 28.69259 | 0 | Europe/Chisinau | populated place | ||
| 617206 | Ţaul | Caul’,Taul,Tsaul’,Tsaul’,Ţaul,Цауль | MD | Donduşeni | 48.2126 | 27.68145 | 0 | Europe/Chisinau | populated place | ||
| 831025 | Pelivan | Mitocul Nou,Novyj Mitok,Novyy Mitok,Pelivan,Новый Миток | MD | Orhei | 47.40388 | 28.77573 | 0 | Europe/Chisinau | populated place | ||
| 617984 | Coicova | Coicova,Kojkovo,Koykova,Koykovo,Койково | MD | Transnistria | 47.40908 | 29.24394 | 0 | Europe/Chisinau | populated place | ||
| 618592 | Boşcana | Bashkany,Boscana,Boshkana,Boşcana,Бошкана | MD | Criuleni | 47.12802 | 29.00103 | 0 | Europe/Chisinau | populated place | ||
| 829774 | Muzhik | Muzhik | MD | Călăraşi | 47.3013 | 28.20762 | 0 | Europe/Chisinau | populated place | ||
| 824213 | Zarojeni | Zarojeni,Zarozhany,Зарожаны | MD | Floreşti | 47.86568 | 28.16197 | 0 | Europe/Chisinau | populated place | ||
| 617814 | Mihălaşa | Mihalasa,Mihălaşa,Mikhalasha,Михалаша | MD | Teleneşti | 47.49551 | 28.34111 | 0 | Europe/Chisinau | populated place | ||
| 617705 | Troiţa Nouă | Novotroickoe,Novotroitskoye,Troita Noua,Troiţa Nouă,Troyitsa-Nousa,Новотроицкое | MD | Anenii Noi | 46.79089 | 29.26297 | 0 | Europe/Chisinau | populated place | ||
| 617135 | Andruşul de Sus | Andrusha Verkhnyaya,Andrushu,Andrusu de Sus,Andrusul de Sus,Andruşu de Sus,Andruşul de Sus,Verkhnij Andrush,Verkhniy Andrush,Verkhniye Andrushi,Verxniy Andrush,Верхний Андруш | MD | Cahul | 46.00879 | 28.24611 | 0 | Europe/Chisinau | populated place | ||
| 617704 | Novovladimirovca | Novovladimirovca,Novovladimirovka,Нововладимировка | MD | Transnistria | 46.93987 | 29.52017 | 0 | Europe/Chisinau | populated place | ||
| 824134 | Vatra | Gara Ghidighici,Gidigich,Vatra,Ватра,Гидигич | MD | Chișinău Municipality | 47.0746 | 28.73685 | 3800 | Europe/Chisinau | populated place | ||
| 617454 | Sărăţica Veche | Saracika-Veke,Saratica Veche,Saratsika,Saratsika Veke,Saratsika-Veke,Seretsika,Sărăţica Veche,Сарацика-Веке | MD | Leova | 46.60237 | 28.53011 | 0 | Europe/Chisinau | populated place | ||
| 617798 | Misovca | Mishovka,Misovca,Misovka,Mysovka,Мисовка | MD | Ialoveni | 46.76573 | 29.00516 | 0 | Europe/Chisinau | populated place | ||
| 618222 | Grozeşti | Grozeshti,Grozeshty,Grozesti,Grozeşti,Грозешты | MD | Nisporeni | 47.00033 | 28.07774 | 0 | Europe/Chisinau | populated place | ||
| 618129 | Cărpineni | Carpineni,Cărpineni,Karpinen’,Karpineny,Karpinen’,Karpinyani,Карпинены | MD | Hînceşti | 46.7647 | 28.34427 | 0 | Europe/Chisinau | populated place | ||
| 617430 | Şaptebani | Saptebani,Shapte-Ban’,Shapte-Bany,Shapte-Ban’,Shepteban’,Sheptebany,Shepteban’,Şaptebani,Шептебань | MD | Rîşcani | 47.89939 | 27.3472 | 0 | Europe/Chisinau | populated place | ||
| 618066 | Cîzlar | Chiselari,Chizelari,Cizlar,Cîzlar,Kizlar,Kizlyar,Kyzlar,Кызлар | MD | Leova | 46.65083 | 28.525 | 0 | Europe/Chisinau | populated place | ||
| 617789 | Morovaia | Marabiya,Morovaia,Morovaja,Morovaya,Моровая | MD | Criuleni | 47.29841 | 28.99701 | 0 | Europe/Chisinau | populated place | ||
| 864963 | Usăteni | Usatovka | MD | Leova | 46.63167 | 28.55333 | 0 | Europe/Chisinau | populated place | ||
| 617107 | Volintiri | Volintir’,Volintiri,Volintir’,Volonterovka,Volontiri,Volontirovka,Волонтировка | MD | Ştefan-Vodă | 46.42733 | 29.60632 | 0 | Europe/Chisinau | populated place | ||
| 618281 | Ghidighici | Ghidighici,Gidigich,Gidigish,Gidignitsy,Гидигич | MD | Chișinău Municipality | 47.09428 | 28.77299 | 0 | Europe/Chisinau | populated place | ||
| 864962 | Piteşti | Piteshti,Piteshty,Pitesti,Piteşti,Питешты | MD | Leova | 46.50246 | 28.5452 | 0 | Europe/Chisinau | populated place | ||
| 829709 | Iorjniţa | Iorjnita,Iorjniţa,Iorzhnica,Iorzhnitsa,Иоржница | MD | Raionul Soroca | 48.19281 | 28.21387 | 0 | Europe/Chisinau | populated place | ||
| 617703 | Albineţul Nou | Albinetul Nou,Albineţul Nou,Novyj Albinec,Novyy Albinets,Новый Албинец | MD | Fălești | 47.58131 | 27.61935 | 0 | Europe/Chisinau | populated place | ||
| 617304 | Stoianovca | Stoianovca,Stoinesti,Stoineşti,Stoyanovka | MD | Cantemir | 46.25917 | 28.16444 | 0 | Europe/Chisinau | populated place | ||
| 617294 | Stîrceni | Stirceni,Styrchan’,Styrchan’,Styrcheny,Stîrceni,Стырчены | MD | Floreşti | 47.87634 | 28.3651 | 0 | Europe/Chisinau | populated place | ||
| 617299 | Strîmbeni | Koloniya Strembeny,Koloniya Strymben’,Koloniya Strymben’,Strambeni,Strimbeni,Strymbeny,Strâmbeni,Strîmbeni,Стрымбены | MD | Hînceşti | 46.86539 | 28.26171 | 0 | Europe/Chisinau | populated place | ||
| 617558 | Poeana | Poyana,Poyyana | MD | Floreşti | 47.91194 | 28.63333 | 0 | Europe/Chisinau | populated place | ||
| 618330 | Floreşti | Floresht’,Floreshty,Floresht’,Floresti,Floreşti,Флорешты | MD | Anenii Noi | 46.99744 | 29.18092 | 0 | Europe/Chisinau | populated place | ||
| 617737 | Floriţoaia Nouă | Floritoaia Noua,Floritsoyya Noua,Floriţoaia Nouă,Novaja Floricoaja,Novaya Floritsoaya,Новая Флорицоая | MD | Ungheni | 47.16557 | 27.93126 | 0 | Europe/Chisinau | populated place | ||
| 617661 | Oclanda | Oclanda,Oklanda,Oklando,Окланда | MD | Raionul Soroca | 48.28925 | 28.05826 | 0 | Europe/Chisinau | populated place | ||
| 831058 | Valea Norocului | Valea Norocului,Valja-Norokuluj,Valya Norokuluy,Valya-Norokuluy,Валя-Норокулуй | MD | Sîngerei | 47.76521 | 28.20239 | 0 | Europe/Chisinau | populated place | ||
| 617781 | Musaitu | Musai,Musaid,Musait,Musaitu,Musaitul,Musand,Musant,Мусаит | MD | Taraclia | 45.82047 | 28.502 | 0 | Europe/Chisinau | populated place | ||
| 617706 | Troiţa | Novotroitskaya,Troica,Troita,Troita-Noua,Troita-Nouă,Troitsa,Troiţa,Троица | MD | Leova | 46.56295 | 28.46512 | 0 | Europe/Chisinau | populated place | ||
| 864960 | Troyan Vtoroy | MD | Leova | 46.53889 | 28.47806 | 0 | Europe/Chisinau | populated place | |||
| 618505 | Breanova | Breanova,Brjanovo,Bryanova,Bryanovo,Бряново | MD | Orhei | 47.41641 | 28.6502 | 0 | Europe/Chisinau | populated place | ||
| 618415 | Ciuciulea | Chuchulja,Chuchulya,Ciuciulea,Чучуля | MD | Glodeni | 47.65899 | 27.48475 | 0 | Europe/Chisinau | populated place | ||
| 617830 | Maiac | Maiac,Majak,Mayak,Маяк | MD | Transnistria | 47.23727 | 29.38498 | 1500 | Europe/Chisinau | populated place | ||
| 617702 | Anenii Noi | Aneni Nouy,Anenii Noi,Anenii Noui,Novo-Aneny,Novye Aneny,Novyye Aneny,Новые Анены | MD | Anenii Noi | 46.87839 | 29.23483 | 8250 | Europe/Chisinau | seat of a first-order administrative division | ||
| 617593 | Petrunea | Petrunea,Petrunja,Petrunya,Петруня | MD | Glodeni | 47.75023 | 27.57835 | 0 | Europe/Chisinau | populated place | ||
| 617864 | Moleşti | Malayeshty,Molesht’,Moleshty,Molesht’,Molesti,Moleşti,Молешты | MD | Ialoveni | 46.78756 | 28.7769 | 0 | Europe/Chisinau | populated place | ||
| 618396 | Delacău | Delacau,Delacău,Delakeu,Predmest’ye Delakeu,Predmest’ye Delakeu,Делакеу | MD | Anenii Noi | 47.12854 | 29.29906 | 0 | Europe/Chisinau | populated place | ||
| 618255 | Goleni | Golen’,Goleni,Goleny,Golen’,Goljany,Golyany,Голяны | MD | Raionul Edineţ | 48.2095 | 27.43286 | 0 | Europe/Chisinau | populated place | ||
| 829886 | Măgura Nouă | Magura Noua,Măgura Nouă,Novaja Mehgura,Novaya Megura,Новая Мэгура | MD | Fălești | 47.50613 | 27.95185 | 0 | Europe/Chisinau | populated place | ||
| 618607 | Bălcăuţi | Balcauti,Balkaucy,Balkauts De Zhos,Balkautsy,Bălcăuţi,Балкауцы | MD | Briceni | 48.28573 | 27.20175 | 0 | Europe/Chisinau | populated place | ||
| 617274 | Taxobeni | Taksabyany,Taksoben’,Taksobeny,Taksoben’,Taxobeni,Toksobeny,Таксобены | MD | Fălești | 47.38938 | 27.59047 | 0 | Europe/Chisinau | populated place | ||
| 831209 | Roşcani | Roscani,Roshkany,Roşcani,Рошканы | MD | Rezina | 47.64712 | 28.7398 | 0 | Europe/Chisinau | populated place | ||
| 7730820 | Oxintea | MD | 47.39061 | 29.02269 | 0 | Europe/Chisinau | populated place | ||||
| 7730798 | Nemereuca | MD | 48.09722 | 28.50342 | 0 | Europe/Chisinau | populated place | ||||
| 618501 | Bubuieci | Bubuech’,Bubueci,Bubuieci,Bubuyech’,Bubuyechi,Bubuyech’,Бубуечь | MD | Chișinău Municipality | 46.98658 | 28.93993 | 0 | Europe/Chisinau | populated place | ||
| 829530 | Druţa | Druca,Druta,Drutsa,Druţa,Друца | MD | Rîşcani | 47.96542 | 27.29705 | 0 | Europe/Chisinau | populated place | ||
| 831055 | Ţipleşti | Cypleshty,Tiplesti,Tsypleshty,Ţipleşti,Цыплешты | MD | Floreşti | 47.82485 | 28.14625 | 0 | Europe/Chisinau | populated place | ||
| 617498 | Romanovca | Romanesti,Romanovca,Romanovka,Romanovo,Româneşti,Романовка | MD | Leova | 46.45942 | 28.35245 | 0 | Europe/Chisinau | populated place | ||
| 829706 | Sobari | Sobar,Sobari,Собар | MD | Raionul Soroca | 48.23297 | 28.0642 | 0 | Europe/Chisinau | populated place | ||
| 617585 | Plopi | Plop’,Plopi,Plop’,Плопь | MD | Cantemir | 46.20831 | 28.21327 | 0 | Europe/Chisinau | populated place | ||
| 831237 | Drujba | Drujba,Druzhba,Дружба | MD | Ungheni | 47.43237 | 28.07336 | 0 | Europe/Chisinau | populated place | ||
| 864964 | Bogdanovca | Bogdaneni,Bogdanovca,Bogdanovka,Богдановка | MD | Basarabeasca | 46.51118 | 28.93423 | 0 | Europe/Chisinau | populated place | ||
| 617058 | Zagarancea | Zagarancea,Zagarancha,Zagorancha,Загоранча | MD | Ungheni | 47.24504 | 27.766 | 0 | Europe/Chisinau | populated place | ||
| 617674 | Seliştea Nouă | Novo-Selishtya,Novye Selishty,Novyye Selishty,Selishtya-Noua,Selishtya-Nouy,Selistea Noua,Seliştea Nouă,Новые Селишты | MD | Călăraşi | 47.23357 | 28.31351 | 0 | Europe/Chisinau | populated place | ||
| 618147 | Camencuţa | Camencuta,Camencuţa,Kamenkuca,Kamenkutsa,Каменкуца | MD | Rîşcani | 47.83626 | 27.44948 | 0 | Europe/Chisinau | populated place | ||
| 617654 | Oxentea | Okcentiya,Oksentija,Oksentiya,Oxentea,Оксентия | MD | Dubăsari | 47.38261 | 29.1197 | 0 | Europe/Chisinau | populated place | ||
| 617688 | Heciul Nou | Gechiu-Nou,Heciu Nou,Heciul Nou,Novye Gechi,Novyye Gechi,Новые Гечи | MD | Sîngerei | 47.7752 | 28.05936 | 0 | Europe/Chisinau | populated place | ||
| 864911 | Samsonovka | MD | Transnistria | 47.76083 | 29.16667 | 0 | Europe/Chisinau | populated place | |||
| 617676 | Roşietici | Novyye Roshiyetichi,Roshietich’,Roshiyetich’,Roshiyetich-Nouy,Roshiyetichi,Roshiyetich’,Rosietici,Rosieticii Noui,Roşietici,Roşieticii Noui,Рошиетичь | MD | Floreşti | 47.83049 | 28.40271 | 0 | Europe/Chisinau | populated place | ||
| 617421 | Şirăuţi | Shireucy,Shireutsy,Shirovtsy,Sirauti,Şirăuţi,Ширеуцы | MD | Briceni | 48.23977 | 26.84235 | 0 | Europe/Chisinau | populated place | ||
| 617045 | Zguriţa | Zgura,Zgurica,Zgurita,Zguritsa,Zguriţa,Згурица | MD | Drochia | 48.11981 | 28.01452 | 0 | Europe/Chisinau | populated place | ||
| 618634 | Arioneşti | Arianeshty,Arionesht’,Arioneshty,Arionesht’,Arionesti,Arioneşti,Арионешты | MD | Raionul Ocniţa | 48.372 | 27.85027 | 0 | Europe/Chisinau | populated place | ||
| 617423 | Şipca | Shibka,Shipka,Sipca,Şipca,Шипка | MD | Transnistria | 47.16683 | 29.50936 | 0 | Europe/Chisinau | populated place | ||
| 831065 | Mărineşti | Marineshty,Marinesti,Mărineşti,Маринешты | MD | Floreşti | 47.73183 | 28.38308 | 0 | Europe/Chisinau | populated place | ||
| 829880 | Frumuşica | Frumushika,Frumusica,Frumuşica,Фрумушика | MD | Fălești | 47.51502 | 27.6863 | 0 | Europe/Chisinau | populated place | ||
| 829638 | Schinoşica | Schinoasa,Schinosica,Schinoşica,Skinosa,Skinoshika,Скиношика | MD | Cimişlia | 46.72863 | 28.78868 | 0 | Europe/Chisinau | populated place | ||
| 617726 | Pohrebea Nouă | Novaja Pogrebja,Novaya Pogrebya,Novyye Pogreby,Pohrebea Noua,Pohrebea Nouă,Новая Погребя | MD | Transnistria | 47.30987 | 29.37919 | 0 | Europe/Chisinau | populated place | ||
| 618419 | Cioreşti | Choresht’,Choreshty,Choresht’,Cioresti,Cioreşti,Чорешты | MD | Nisporeni | 47.16565 | 28.22094 | 0 | Europe/Chisinau | populated place |
**Exploring Moldova: Unveiling Geographic Insights**
Nestled between Romania and Ukraine, Moldova is a country steeped in history, culture, and natural beauty. As a geographer embarking on an exploration of this Eastern European nation, the quest for data regarding its cities, regions, and geographical coordinates offers a unique opportunity to uncover the intricacies of its landscape and human settlement patterns.
Discovering Urban Centers**
Moldova's urban landscape is characterized by a network of cities and towns, each with its own distinct identity and historical significance. From the bustling capital of Chișinău, with its grand Soviet-era architecture and lively markets, to the charming medieval town of Orhei nestled along the Răut River, each urban center offers a window into Moldova's rich cultural heritage. For a geographer, obtaining comprehensive data on Moldova's cities, including their regions and departments, is a vital step in understanding the spatial distribution of population and economic activity within the country.
Mapping Administrative Divisions**
Moldova is divided into several administrative divisions, including raions (districts), municipalities, and autonomous territorial units. Each of these divisions plays a role in shaping the socio-economic landscape of the country, from the agricultural heartlands of the north to the industrial hubs of the south. The quest for data extends beyond mere numerical coordinates, delving into the nuances of regional governance, resource distribution, and cultural diversity across Moldova's administrative landscape.
Navigating Latitude and Longitude**
In the pursuit of geographical understanding, latitude and longitude serve as essential tools for mapping Moldova's cities and towns. From the northern city of Bălți, situated on the banks of the Răut River, to the southern town of Cahul, nestled along the shores of the Prut River, each urban center's geographical coordinates offer insights into its climatic conditions, topographical features, and strategic importance. For a geographer, acquiring accurate latitude and longitude data is essential for conducting spatial analysis and understanding the spatial relationships between different settlements within Moldova.
Exploring Cultural and Environmental Dynamics**
Beyond the administrative boundaries and urban centers, Moldova's landscape is shaped by a rich tapestry of cultural and environmental factors. From the fertile agricultural plains of the central Bălți Steppe to the rolling hills of the Codru Forest in the west, the country's natural beauty is matched only by its cultural diversity. As a geographer, the quest for data extends beyond city limits, encompassing the intricate web of ecosystems, land use patterns, and cultural traditions that define Moldova's identity.
Conclusion: Unraveling Moldova's Geographic Story**
In the tapestry of Moldova's geography, the quest for data serves as a gateway to understanding the country's complex and dynamic landscape. From the urban centers to the rural hinterlands, each city and town holds a piece of the puzzle, waiting to be discovered by intrepid explorers and curious scholars alike. As we unravel Moldova's geographic story, let us not only seek coordinates on a map but also embrace the rich tapestry of culture, history, and natural beauty that defines this fascinating Eastern European nation.

Download data files for Moldova's cities in Excel (.xlsx), CSV, SQL, XML and JSON formats
Mapping the Heart of Europe: A Geographical Exploration of Moldova
Moldova, nestled between Romania and Ukraine, may be small in size, but it is a country with a rich and diverse geography that warrants closer examination. From its rolling hills and fertile plains to the winding Dniester River, Moldova’s landscape plays a crucial role in its historical development, cultural identity, and socio-economic dynamics. As a geographer, one of the most intriguing aspects of Moldova is its unique mix of rural and urban landscapes, where towns and cities are not only cultural and economic hubs but also key players in understanding the country’s growth and challenges. To effectively study and analyze this dynamic country, detailed and accurate geographic data on its cities, regions, and departments is essential.
The Structure of Moldova’s Geography and Administration
Moldova is divided into two main administrative units: the Republic of Moldova itself, and the breakaway region of Transnistria, which has declared independence but is not internationally recognized. The country is further subdivided into districts (raions), cities, and communes. The capital, Chișinău, is the largest city and the focal point of political, economic, and cultural life, while other cities such as Bălți, Tiraspol, and Bender play important roles in regional development.
These cities and their corresponding regions represent the diverse geographical characteristics of Moldova, from the plains of the south to the hilly terrains in the center and the forests of the north. Understanding the geographic organization of Moldova—its cities, towns, and rural settlements—helps provide a clear picture of how land use, urbanization, and environmental factors are shaping the nation’s future.
The Role of Latitude and Longitude in Mapping Moldova
For any geographic analysis, one of the fundamental tools is the use of geographic coordinates—latitude and longitude. These coordinates are essential for pinpointing the precise location of cities, towns, and villages across Moldova. By obtaining latitude and longitude data for each city, researchers and planners can create highly accurate maps that allow for detailed spatial analysis.
With latitude and longitude coordinates, it becomes possible to study how cities like Chișinău and Bălți are situated in relation to Moldova’s rivers, forests, and other natural features. Understanding these spatial relationships is crucial for analyzing urban sprawl, transportation networks, and even environmental concerns, such as the effects of deforestation or flood risks in low-lying regions near the Dniester River. Additionally, such data is indispensable for addressing challenges such as urbanization, infrastructure development, and regional planning.
Why Multiple Data Formats Are Crucial for Geographic Analysis
Geographic data in Moldova, especially for a country with diverse urban and rural areas, needs to be accessible and adaptable. Researchers, policymakers, and urban planners often use different software tools to process and analyze this data, making it essential to offer the data in various formats. The flexibility of data formats like CSV, SQL, JSON, and XML ensures that geographic data can be easily integrated into different systems, databases, and applications.
- **CSV (Comma-Separated Values):** This format is ideal for simple, tabular representations of geographic data. It allows for easy sorting and manipulation of city names, population sizes, and geographic coordinates. CSV is widely compatible with most data analysis tools and mapping software.
- **SQL (Structured Query Language):** For larger, more complex datasets stored in relational databases, SQL is the ideal format. SQL enables the creation of databases that allow for efficient data retrieval, making it possible to query specific geographic features or regions, perform advanced spatial analysis, and track changes over time.
- **JSON (JavaScript Object Notation):** JSON is particularly useful for web-based applications. This lightweight format allows for easy data transfer between systems and can be integrated into interactive maps and online platforms. JSON is also highly compatible with modern geospatial applications, which makes it ideal for projects requiring real-time data.
- **XML (Extensible Markup Language):** XML is a versatile and flexible format for sharing data across various platforms. It allows for complex geographic datasets to be structured and exchanged in a standardized format, ensuring that the data can be integrated into different systems, whether for research, policymaking, or environmental monitoring.
Having access to data in these multiple formats ensures that users can engage with the data in the most suitable way for their specific needs, whether they are conducting detailed analysis in a GIS system or sharing data through a web-based application.
A Comprehensive Database for Moldova’s Geography
For geographers, urban planners, and researchers looking to explore Moldova’s cities, regions, and departments in greater detail, having access to a comprehensive database is invaluable. This database should include not only the cities of Moldova, but also detailed information about their administrative divisions, such as districts and communes, as well as latitude and longitude coordinates.
By using such a resource, users can track population trends, identify patterns in urban growth, and assess the impacts of geographical factors such as climate, agriculture, and proximity to major rivers. For instance, Chișinău, the capital, may experience different challenges related to urban sprawl compared to smaller cities like Cahul, which may be more focused on agricultural development. Understanding these nuances is crucial for effective planning and decision-making.
The availability of this data in formats like CSV, SQL, JSON, and XML allows researchers to tailor their work to specific projects and tools, ensuring that the data can be applied across a wide range of analytical frameworks. Whether studying the impact of migration on Moldova’s cities or forecasting the needs of rural regions, this data provides the foundation for accurate and meaningful insights.
Conclusion
Moldova’s geographical structure, with its mix of urban and rural areas, offers a fascinating context for geographical study. By obtaining detailed data on the country’s cities, regions, and departments, including precise latitude and longitude coordinates, researchers can gain valuable insights into the country’s development and challenges. Offering this data in flexible formats such as CSV, SQL, JSON, and XML ensures that the information is accessible and usable for a wide range of applications, from urban planning to environmental studies. By leveraging this data, we can better understand Moldova’s geographical dynamics and support informed decision-making for its sustainable future.