Kuvinjari:

Biashara katika Flims

 

Kategoria katika Flims

Wauzaji wa Magari na Magari MadogoMaduka ya nguoKituo cha Umeme wa MajiKampuni ya ProgramuFundi umemeMhandisiMkandarasi wa Kukarabati BafuUjenzi wa majengoWasanifu wa majengoMafunzo ya UkochaKivutio cha WataliMpiga pichaNyumba za sanaaBaa, baa na MikahawaKahawa migahawaKiitaliano migahawaMaduka ya vyakula na makubwaMikahawaMkahawa wa UswisiUokaji mikateAsubuhi yaBenkiDawa MbadalaViungo vya mwiliMassageMtengeneza nyweleSaluni ya NyweleZa saluniHuduma ya Biashara kwa BiasharaMashirika na OfisiMshauri wa Usimamiaji BiasharaAjenti wa Mali IsiyohamishikaChumba cha LikizoJengo la FletiKampuni ya Usimamizi MaliMshauri wa Mali IsiyohamishikaUkodishaji wa Ghorofa za LikizoWakala wa Mali isiyohamishikaWakala wa Ukodishaji Mali isiyohamishikaDuka la ZawadiManunuziYa jumla ya kuhifadhiDuka la Bidhaa za MichezoEneo la Matembezi MarefuKituo cha Kambarau cha GondolaKituo cha MichezoShule ya Kuteleza kwenye ThelujiUwanja wa michezoChumba cha kupanga cha NdaniGari la Kebo la MilimaniHoteli na motelsHotelsKituo cha Kuchaji Gari ya UmemeNyumba ya LikizoVyumba vya kulalaWakala wa Usafiri

Viwanda

Mgawanyo wa biashara kwa sekta katika Flims

Maelezo ya ViwandaIdadi ya UanzishwajiWastani wa Google rating
Mikahawa474.2
Manunuzi384
Nyingine malazi364.3
Hoteli na motels294.3
Majengo154.3
Baa, baa na Mikahawa124.2
Kahawa migahawa114.3
Vyakula vyote na Vinywaji104
Maduka ya nguo94.4
Huduma za ujenzi wa kiufundi93
Udhibiti wa shirika84.1
Afya na matibabu84
Manunuzi mengineyo74.5
Mashirika au makampuni yanayotoa mikopo7—
Wasusi64.3
Maduka ya vyakula na makubwa63.9
Za saluni64.3
Duka za vifaa vya elektroniki64.7
Usafiri62.2
Kiitaliano migahawa64.4
Ski milima54.3

Ukweli wa Flims

Area59.8 km²
Idadi ya Watu2,965
Idadi ya Wanaume1,502 (50.6%)
Idadi ya Wanawake1,463 (49.4%)
Mabadiliko ya idadi ya watu (1975 to 2020)+29.7%
Mabadiliko ya idadi ya watu (2000 to 2020)+12.4%
Umri WastaniMiaka 40.2 (Mwanamume: 39.5, Mwanamke: 41)
MitaaFlims Dorf, Fidaz, Flims Waldhaus
wakati wa Kawaida
Ukanda wa saaSaa za Majira ya joto za Ulaya ya Kati
Latitudo na Longitudo46.83705, 9.28458
Posta7014, 7017

Ramani ya Flims

Ramani inayoingiliana

Idadi ya watu ya Flims

Miaka 1975 hadi 2020

Data19751990200020152020
Idadi ya Watu2,2862,4432,6373,0472,965
Uzani wa Idadi ya Watu38.2 / km²40.8 / km²44.1 / km²50.9 / km²49.6 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Flims kutoka 2000 hadi 2015

Ongezeko la 15.5% kutoka mwaka 2000 hadi 2015

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Flims+33.3%+24.7%+15.5%
Graubünden+7.3%+10%+7.6%
Uswisi+30.6%+24.4%+15.8%
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Umri wa wastani wa Flims

Umri wa wastani: miaka 40.2

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Flims40.2 yrs41 yrs39.5 yrs
Graubünden42 yrs43 yrs41.1 yrs
Uswisi41.4 yrs42.3 yrs40.5 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Flims

Msongamano wa watu: 49.6 / km²

LocationIdadi ya WatuAreaMsongamano
Flims2,96559.8 km²49.6 / km²
Graubünden205,1637,105.1 km²28.9 / km²
Uswisi8.3 million41,281.4 km²200 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Idadi ya watu ya kihistoria na inayokadiriwa ya Flims

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 Flims

Posta

Asilimia ya biashara kwa Misimbo ya Posta katika Flims

Mgawanyo wa bei

Ugawaji wa biashara kwa bei ya Flims

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

Utoaji wa CO2 wa Flims

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

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Flims34,447 tn11.62 tn575.9 tons/km²
Graubünden2,370,443 tn11.55 tn333.6 tons/km²
Uswisi96,432,235 tn11.67 tn2,336 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 Flims
Utoaji wa CO2 wa 2013 (tani/mwaka)34,447 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu11.62 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka)575.9 tons/km²

Hatari ya Hatari za Asili

Relative risk out of 10

HatariRisk Level
FloodHigh (9)
EarthquakeMedium (4)
LandslideMedium (6)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

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 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

Tarehe▼Wakati↕Magnitude↕Distance↕Undani↕Location↕Kiunga
2/1/181:47 AM3.862.4 km5,000 m4km N of Innerbraz, Austriausgs.gov
3/6/178:12 PM4.136.7 km10,000 m8km SSE of Muotathal, Switzerlandusgs.gov
12/12/1312:59 AM3.629 km2,600 m1km SSW of Balzers, Liechtensteinusgs.gov
7/20/133:30 AM3.665 km4,200 m3km ESE of Andwil, Switzerlandusgs.gov
1/4/093:30 PM4.538 km2,900 mSwitzerlandusgs.gov
12/16/0812:34 AM3.168.3 km7,000 mSwitzerlandusgs.gov
11/9/087:22 AM3.77.9 km3,600 mSwitzerlandusgs.gov
1/21/084:40 PM4.214.8 km8,000 mSwitzerlandusgs.gov
8/5/0711:15 AM3.136.4 km0 mAustriausgs.gov
7/12/0712:09 AM3.141.2 km1,000 mSwitzerlandusgs.gov
Chanzo: U.S. Geological Survey (USGS)
Chur
Chur
Pop. 32,42919 km
Domat
Domat
Pop. 6,81712.7 km
Bonaduz
Bonaduz
Pop. 2,6549.1 km

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.