Viwanda

Mgawanyo wa biashara kwa sekta katika Big Timber

Maelezo ya ViwandaIdadi ya UanzishwajiUmri wa Wastani wa Biashara
Ujenzi wa majengo4526 year
Dini2563 year
Afya na matibabu2537 year
Usimamizi wa umma2357 year
Mikahawa2024 year
Manunuzi1933 year
Majengo1925 year
Utengenezaji wa magari1823 year
Wahasibu1728 year
Mashamba na mashamba makubwa ya ng'ombe1632 year
Uanasheria1629 year
Haifikiwi1437 year
Ukulima1426 year
Maduka ya vyakula na makubwa1437 year
Huduma za biashara11
Za saluni10
Nyingine malazi1034 year
Sehemu za nje za kulala1054 year
Makontakta kwa ujumla9
Umma mbuga9

Ukweli wa Big Timber

Area0.8 mi²
Idadi ya Watu1,510
Idadi ya Wanaume720 (47.7%)
Idadi ya Wanawake790 (52.3%)
Mabadiliko ya idadi ya watu (1975 to 2020)+50.5%
Mabadiliko ya idadi ya watu (2000 to 2020)+0.7%
Umri WastaniMiaka 45.2 (Mwanamume: 42.2, Mwanamke: 48.2)
Simu Kiambishi406
MitaaBig Timber
wakati wa Kawaida
Ukanda wa saaSaa za Mchana za Mountain
Latitudo na Longitudo45.83494, -109.95546
Posta59011

Ramani ya Big Timber

Ramani inayoingiliana

Idadi ya watu ya Big Timber

Miaka 1975 hadi 2020

Data19751990200020152020
Idadi ya Watu1,0031,3451,5001,5051,510
Uzani wa Idadi ya Watu1,222.5 / mi²1,639.3 / mi²1,828.2 / mi²1,834.3 / mi²1,840.4 / mi²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Big Timber kutoka 2000 hadi 2015

Ongezeko la 0.3% kutoka mwaka 2000 hadi 2015

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Big Timber+50%+11.9%+0.3%
Montana+48.3%+27.3%+13.5%
Marekani+46.9%+27.2%+13.7%
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Umri wa wastani wa Big Timber

Umri wa wastani: miaka 45.2

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Big Timber45.2 yrs48.2 yrs42.2 yrs
Montana40.1 yrs41.3 yrs39 yrs
Marekani37.4 yrs38.7 yrs36.1 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Big Timber

Msongamano wa watu: 1,840 / mi²

LocationIdadi ya WatuAreaMsongamano
Big Timber1,5100.82 sq mi1,840 / mi²
Montana1 million147,039.5 sq mi7 / mi²
Marekani321.6 million3,796,740.8 sq mi84.7 / mi²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Idadi ya watu ya kihistoria na inayokadiriwa ya Big Timber

Idadi ya watu inayokadiriwa kutoka 1860 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.

Mgawanyo wa bei

Ugawaji wa biashara kwa bei ya Big Timber

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 Big Timber

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

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Big Timber28,425 tn18.82 tn34,644.9 tons/mi²
Montana18,243,013 tn17.73 tn124.1 tons/mi²
Marekani5,664,619,810 tn17.62 tn1,492 tons/mi²
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 Big Timber
Utoaji wa CO2 wa 2013 (tani/mwaka)28,425 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu18.82 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka)34,644.9 tons/mi²

Hatari ya Hatari za Asili

Relative risk out of 10

HatariRisk Level
DroughtHigh (8)
EarthquakeLow (2)

* 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 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 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
5/7/087:08 AM376 km14,100 mwestern Montanausgs.gov
7/15/0610:31 PM390.7 km9,600 mwestern Montanausgs.gov
1/9/0312:02 AM3.737.5 km10,700 mwestern Montanausgs.gov
11/13/974:41 PM3.487.9 km5,600 mwestern Montanausgs.gov
11/6/979:00 PM487.7 km4,900 mwestern Montanausgs.gov
5/23/895:47 AM371.8 km5,000 mwestern Montanausgs.gov
8/22/852:12 AM3.237.2 km5,000 mwestern Montanausgs.gov
2/16/633:01 AM4.586.2 km33,000 mwestern Montanausgs.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.