Kategoria katika Big Timber
Kituo cha GesiUtengenezaji wa magariMkulima wa MazaoMtia wekoChama au ShirikaMakanisaOfisi ya SerikaliShirika la Huduma za JamiiShirika la KidiniFundi umemeHuduma ya Ufungaji wa UmemeMakontakta kwa ujumlaMkadarasi wa HVACMkandarasiMkandarasi wa UchimbuajiMkandarasi wa Ujenzi wa MajengoMkandarasi wa Ujenzi wa NdaniUjenzi wa majengoUjenzi wa nyumbaUjenzi wa Nyumba za KuishiElimuKituo cha ElimuShule ya UpiliKivutio cha WataliMajumba ya sinemaMtoa BurudaniBaa, baa na MikahawaKaskazini migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMikahawaPizzaHuduma za MtiVitu vya kaleAsubuhi yaBenkiHuduma za KisheriaMhasibuMwanasheriaDaktari wa FamiliaDaktari wa wanyamaTabibu maungoUtabibuSaluni ya NyweleZa saluniHuduma kwa ViwandaHuduma za Ushauri na ElekeziKampuni ya Ushauri wa UsimamiziAjenti wa Mali IsiyohamishikaUkodishaji wa Nyumba za KuishiWakala wa Mali isiyohamishikaDuka la VileoDuka la ZawadiRanchiWanaoshughulikia MauaYa jumla ya kuhifadhiBunduki na risasiDuka la Bidhaa za MichezoMichezo na kujivinjariUmma mbugaUwanja wa kupigia kambiHoteli na motelsHotelsMizigo ya usambazajiUsafirishaji/usafirishaji wa kibiasharaUwanja wa ndegeWakala wa Kupangisha Nyumba ya LikizoWarehousing na kuhifadhi
Viwanda
Mgawanyo wa biashara kwa sekta katika Big Timber
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Ujenzi wa majengo | 45 | 26 year |
| Dini | 25 | 63 year |
| Afya na matibabu | 25 | 37 year |
| Usimamizi wa umma | 23 | 57 year |
| Mikahawa | 20 | 24 year |
| Manunuzi | 19 | 33 year |
| Majengo | 19 | 25 year |
| Utengenezaji wa magari | 18 | 23 year |
| Wahasibu | 17 | 28 year |
| Mashamba na mashamba makubwa ya ng'ombe | 16 | 32 year |
| Uanasheria | 16 | 29 year |
| Haifikiwi | 14 | 37 year |
| Ukulima | 14 | 26 year |
| Maduka ya vyakula na makubwa | 14 | 37 year |
| Huduma za biashara | 11 | — |
| Za saluni | 10 | — |
| Nyingine malazi | 10 | 34 year |
| Sehemu za nje za kulala | 10 | 54 year |
| Makontakta kwa ujumla | 9 | — |
| Umma mbuga | 9 | — |
Ukweli wa Big Timber
| Area | 0.8 mi² |
| Idadi ya Watu | 1,510 |
| Idadi ya Wanaume | 720 (47.7%) |
| Idadi ya Wanawake | 790 (52.3%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +50.5% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +0.7% |
| Umri Wastani | Miaka 45.2 (Mwanamume: 42.2, Mwanamke: 48.2) |
| Simu Kiambishi | 406 |
| Mitaa | Big Timber |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Mountain |
| Latitudo na Longitudo | 45.83494, -109.95546 |
| Posta | 59011 |
Ramani ya Big Timber
Ramani inayoingiliana
Idadi ya watu ya Big Timber
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 1,003 | 1,345 | 1,500 | 1,505 | 1,510 |
| Uzani wa Idadi ya Watu | 1,222.5 / mi² | 1,639.3 / mi² | 1,828.2 / mi² | 1,834.3 / mi² | 1,840.4 / 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
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko 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
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Big Timber | 45.2 yrs | 48.2 yrs | 42.2 yrs |
| Montana | 40.1 yrs | 41.3 yrs | 39 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Big Timber
Msongamano wa watu: 1,840 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Big Timber | 1,510 | 0.82 sq mi | 1,840 / mi² |
| Montana | 1 million | 147,039.5 sq mi | 7 / mi² |
| Marekani | 321.6 million | 3,796,740.8 sq mi | 84.7 / 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:
- JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [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
| Location | Uzalishaji wa CO2 | Uzalishaji wa CO2 kwa Capita | Uzito wa uzalishaji wa CO2 |
|---|---|---|---|
| Big Timber | 28,425 tn | 18.82 tn | 34,644.9 tons/mi² |
| Montana | 18,243,013 tn | 17.73 tn | 124.1 tons/mi² |
| Marekani | 5,664,619,810 tn | 17.62 tn | 1,492 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 mtu | 18.82 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
| Hatari | Risk Level |
|---|---|
| Drought | High (8) |
| Earthquake | Low (2) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Vyanzo:
- 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.
- 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.
- 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 |
|---|---|---|---|---|---|---|
| 5/7/08 | 7:08 AM | 3 | 76 km | 14,100 m | western Montana | usgs.gov |
| 7/15/06 | 10:31 PM | 3 | 90.7 km | 9,600 m | western Montana | usgs.gov |
| 1/9/03 | 12:02 AM | 3.7 | 37.5 km | 10,700 m | western Montana | usgs.gov |
| 11/13/97 | 4:41 PM | 3.4 | 87.9 km | 5,600 m | western Montana | usgs.gov |
| 11/6/97 | 9:00 PM | 4 | 87.7 km | 4,900 m | western Montana | usgs.gov |
| 5/23/89 | 5:47 AM | 3 | 71.8 km | 5,000 m | western Montana | usgs.gov |
| 8/22/85 | 2:12 AM | 3.2 | 37.2 km | 5,000 m | western Montana | usgs.gov |
| 2/16/63 | 3:01 AM | 4.5 | 86.2 km | 33,000 m | western Montana | usgs.gov |
Chanzo: U.S. Geological Survey (USGS)
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.


