Viwanda

Mgawanyo wa biashara kwa sekta katika Klis

Ukweli wa Klis

Area0.8 km²
Idadi ya Watu127
Idadi ya Wanaume63 (49.5%)
Idadi ya Wanawake64 (50.5%)
Mabadiliko ya idadi ya watu (1975 to 2020)-64.4%
Mabadiliko ya idadi ya watu (2000 to 2020)-72.0%
Umri WastaniMiaka 38.9 (Mwanamume: 37.4, Mwanamke: 40.5)
Pato la Taifa kwa kila mtu (PPP)$44,682 (2022)
MitaaKlis-Grlo
wakati wa Kawaida
Ukanda wa saaSaa za Majira ya joto za Ulaya ya Kati
Latitudo na Longitudo43.55944, 16.51944

Ramani ya Klis

Ramani inayoingiliana

Idadi ya watu ya Klis

Miaka 1975 hadi 2030

Data197519902000201520202025*2030*
Idadi ya Watu357447454508127120116
Uzani wa Idadi ya Watu439.4 / km²550.2 / km²558.8 / km²625.2 / km²156.3 / km²147.7 / km²142.8 / km²
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Klis kutoka 2000 hadi 2020

Kupungua kwa 72% kutoka mwaka 2000 hadi 2020

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Klis-64.4%-71.6%-72%
Splitsko-Dalmatinska Županija
Kroatia
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Umri wa wastani wa Klis

Umri wa wastani: miaka 38.9

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Klis38.9 yrs40.5 yrs37.4 yrs
Splitsko-Dalmatinska Županija40.8 yrs42.5 yrs39.2 yrs
Kroatia42 yrs44.1 yrs40 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Klis

Msongamano wa watu: 156 / km²

LocationIdadi ya WatuAreaMsongamano
Klis1270.813 km²156 / km²
Splitsko-Dalmatinska Županija440,0134,527.5 km²97.2 / km²
Kroatia4.2 million56,366.2 km²73.9 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Idadi ya watu ya kihistoria na inayokadiriwa ya Klis

Idadi ya watu inayokadiriwa kutoka 0 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 Klis

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 Klis

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

Data19901995200020052010201520202022
Pato la Taifa kwa kila mtu$22,583$25,571$33,684$40,792$41,858$37,895$39,684$44,682
Jumla ya Pato la Taifa$44.2M$50.6M$64.3M$80.8M$87.4M$80.8M$82.8M$92.4M
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 Klis

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

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Klis724 tn5.7 tn891.2 tons/km²
Splitsko-Dalmatinska Županija2,401,383 tn5.46 tn530.4 tons/km²
Kroatia23,288,703 tn5.59 tn413.2 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 Klis
Utoaji wa CO2 wa 2013 (tani/mwaka)724 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu5.7 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka)891.2 tons/km²

Hatari ya Hatari za Asili

Hatari ya jamaa kati ya 10

HatariNgazi ya hatari
Mtetemeko wa ardhiWastani (7)
Udhibiti wa ardhiWastani (6)

* 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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
  3. 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
3/30/192:08 AM4.417.3 km10,000 m17km NNW of Solin, Croatiausgs.gov
2/3/1812:53 PM4.634.9 km10,000 m5km W of Donja Brela, Croatiausgs.gov
3/13/171:31 AM4.130.1 km16,360 m7km SSW of Orguz, Bosnia and Herzegovinausgs.gov
12/9/1612:57 PM4.421.9 km22,520 m2km SSE of Trogir, Croatiausgs.gov
11/18/137:58 AM4.929.9 km19,920 m10km ESE of Otok, Croatiausgs.gov
2/4/134:29 AM417.1 km10,000 mCroatiausgs.gov
1/17/131:21 PM4.113.3 km8,600 mCroatiausgs.gov
6/17/115:31 AM4.626.9 km10,000 mCroatiausgs.gov
4/14/082:13 PM311.6 km10,000 mCroatia regionusgs.gov
10/5/065:03 AM3.638 km10,000 mCroatiausgs.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.