Kategoria katika Ray
Kituo cha GesiMarekebisho na Matengenezo ya MagariUkodishaji magariMkulima wa MazaoMakanisaOfisi ya SerikaliShirika la KidiniMakontakta kwa ujumlaMkandarasiMkandarasi wa Ujenzi wa NdaniUjenzi wa majengoUjenzi wa nyumbaUjenzi wa Nyumba za KuishiMtoa BurudaniBaa, baa na MikahawaAsubuhi yaHuduma kwa ViwandaKampuni ya Ushauri wa UsimamiziUmma mbugaUwanja wa kupigia kambiKampuni ya Malori
Viwanda
Mgawanyo wa biashara kwa sekta katika Ray
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara | Wastani wa Google rating |
|---|---|---|---|
| Makontakta kwa ujumla | 7 | 26 year | 4.2 |
| Utengenezaji wa magari | 7 | — | 4.3 |
| Manunuzi | 7 | 31 year | 4.2 |
| Ujenzi wa majengo | 7 | 41 year | 4 |
| Maduka ya vyakula na makubwa | 6 | — | 4 |
| Usafirishaji/usafirishaji wa kibiashara | 6 | — | 4 |
| Makampuni ya kuhamia | 5 | — | — |
| Mikahawa | 5 | — | 4.4 |
Ukweli wa Ray
| Area | 1.0 mi² |
| Idadi ya Watu | 611 |
| Idadi ya Wanaume | 325 (53.2%) |
| Idadi ya Wanawake | 286 (46.8%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +54.7% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +21.7% |
| Umri Wastani | Miaka 46 (Mwanamume: 44.6, Mwanamke: 46.9) |
| Simu Kiambishi | 701 |
| Mitaa | Riverdale |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Kati |
| Latitudo na Longitudo | 48.34447, -103.16518 |
| Posta | 58849 |
Ramani ya Ray
Ramani inayoingiliana
Idadi ya watu ya Ray
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 395 | 432 | 502 | 596 | 611 |
| Uzani wa Idadi ya Watu | 409.2 / mi² | 447.6 / mi² | 520.1 / mi² | 617.5 / mi² | 633 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Ray kutoka 2000 hadi 2015
Ongezeko la 18.7% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Ray | +50.9% | +38% | +18.7% |
| North Dakota | +20.9% | +13.1% | +6% |
| 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 Ray
Umri wa wastani: miaka 46
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Ray | 46 yrs | 46.9 yrs | 44.6 yrs |
| North Dakota | 37.1 yrs | 38.7 yrs | 35.6 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Ray
Msongamano wa watu: 633 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Ray | 611 | 0.965 sq mi | 633 / mi² |
| North Dakota | 681,824 | 70,698.3 sq mi | 9.6 / 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 Ray
Idadi ya watu inayokadiriwa kutoka 1880 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 Ray
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 Ray
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 |
|---|---|---|---|
| Ray | 12,071 tn | 19.76 tn | 12,505 tons/mi² |
| North Dakota | 13,690,735 tn | 20.08 tn | 193.7 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 Ray
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 12,071 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 19.76 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 12,505 tons/mi² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (5) |
* 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.
Matetemeko ya Ardhi ya hivi karibuni
Uzito 3.0 na zaidi
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 9/28/12 | 10:53 AM | 3.3 | 35.7 km | 5,000 m | North Dakota | usgs.gov |
| 11/11/98 | 11:59 AM | 3.5 | 68 km | 5,000 m | eastern Montana | usgs.gov |
| 3/9/82 | 1:10 PM | 3.3 | 66.7 km | 18,000 m | eastern Montana | usgs.gov |
| 9/5/75 | 8:47 PM | 3.85 | 90.4 km | 5,000 m | eastern Montana | usgs.gov |
| 5/16/09 | 4:15 AM | 5.5 | 95.4 km | — | Saskatchewan, Canada | 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.