Ukweli wa Limanu

Area4.6 km²
Idadi ya Watu1,904
Idadi ya Wanaume934 (49.0%)
Idadi ya Wanawake970 (51.0%)
Mabadiliko ya idadi ya watu (1975 to 2020)-48.2%
Mabadiliko ya idadi ya watu (2000 to 2020)-50.8%
Umri WastaniMiaka 39 (Mwanamume: 37.9, Mwanamke: 40)
Pato la Taifa kwa kila mtu (PPP)$38,139 (2022)
wakati wa Kawaida
Ukanda wa saaSaa za Majira ya joto za Mashariki mwa Ulaya
Latitudo na Longitudo43.80000, 28.53333
Posta907160

Ramani ya Limanu

Ramani inayoingiliana

Idadi ya watu ya Limanu

Miaka 1975 hadi 2030

Data197519902000201520202025*2030*
Idadi ya Watu3,6773,9903,8723,2721,9041,9031,812
Uzani wa Idadi ya Watu805.9 / km²874.5 / km²848.7 / km²717.2 / km²417.3 / km²417.1 / km²397.2 / km²
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Limanu kutoka 2000 hadi 2020

Kupungua kwa 50.8% kutoka mwaka 2000 hadi 2020

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Limanu-48.2%-52.3%-50.8%
Constanța
Romania
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Umri wa wastani wa Limanu

Umri wa wastani: miaka 39

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Limanu39 yrs40 yrs37.9 yrs
Constanța39.6 yrs40.9 yrs38.1 yrs
Romania40.1 yrs41.6 yrs38.5 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Limanu

Msongamano wa watu: 417 / km²

LocationIdadi ya WatuAreaMsongamano
Limanu1,9044.563 km²417 / km²
Constanța599,8737,066.2 km²84.9 / km²
Romania19.5 million238,387.8 km²81.8 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Idadi ya watu ya kihistoria na inayokadiriwa ya Limanu

Idadi ya watu inayokadiriwa kutoka 1300 hadi 2100

Vyanzo:
  1. JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [Kiunga] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.

Simu Kiambishi

Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Limanu

Posta

Asilimia ya biashara kwa Misimbo ya Posta katika Limanu

Mgawanyo wa bei

Ugawaji wa biashara kwa bei ya Limanu

Kielelezo cha Maendeleo ya Binadamu (HDI)

Faharisi ya takwimu ya kitisho cha kuishi, elimu, na mapato ya kila mtu.

Chanzo: [Kiunga] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4

Pato la Taifa (GDP) la Limanu

Pato la Taifa kwa kila mtu, PPP ($ za kimataifa za 2017)

Data19901995200020052010201520202022
Pato la Taifa kwa kila mtu$17,252$16,863$15,963$22,716$22,720$29,535$33,435$38,139
Jumla ya Pato la Taifa$599.6M$565.1M$522.6M$724M$707.9M$910.9M$978.4M$1.1B
Chanzo: [Kiunga] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x

Utoaji wa CO2 wa Limanu

Carbon Dioxide (CO2) Uzalishaji wa hewa kwa Capita huko Tonnes kwa mwaka

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Limanu9,402 tn4.94 tn2,060.6 tons/km²
Constanța2,823,244 tn4.71 tn399.5 tons/km²
Romania86,961,323 tn4.46 tn364.8 tons/km²
Vyanzo: [Kiunga] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Utoaji wa CO2 wa Limanu
Utoaji wa CO2 wa 2013 (tani/mwaka)9,402 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu4.94 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka)2,060.6 tons/km²

Hatari ya Hatari za Asili

Hatari ya jamaa kati ya 10

HatariNgazi ya hatari
UkameChini (2)
MafurikoWastani (7)
Mtetemeko wa ardhiWastani (4)

* Hatari, haswa juu ya mafuriko au maporomoko ya ardhi, inaweza kuwa sio kwa eneo lote.

Vyanzo:
  1. Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
  2. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
  3. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
  4. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.

Matetemeko ya Ardhi ya hivi karibuni

Uzito 3.0 na zaidi

TareheWakatiMagnitudeDistanceUndaniLocationKiunga
7/15/158:30 AM3.848.3 km20,400 m18km S of Shabla, Bulgariausgs.gov
12/3/126:58 PM4.540.5 km10,000 mBlack Seausgs.gov
8/5/097:49 AM541.3 km10,000 mBlack Seausgs.gov
8/24/069:00 PM3.849.3 km32,700 mBlack Seausgs.gov
2/4/0610:50 PM376.6 km12,300 mBulgariausgs.gov
4/19/979:00 PM3.690.6 km10,000 mBlack Seausgs.gov
6/30/561:50 AM5.550.2 km15,000 mBlack Seausgs.gov

Kuhusu Takwimu Zetu

Data katika ukurasa huu inakadiriwa kwa kutumia zana na rasilimali kadhaa zinazopatikana hadharani. Inatolewa bila dhamana, na inaweza kuwa na makosa. Tumia kwa hatari yako mwenyewe.