Kategoria katika Miller
Duka la Vipuri vya MagariKituo cha GesiMarekebisho na Matengenezo ya MagariUtengenezaji wa magariKilimo na Ufugaji wa Ng'ombeMkulima wa MazaoUkulimaMaduka ya nguoKanisa la KilutheriMakanisaOfisi ya Serikali ya KauntiSerikali ya Manispaa / MtaaShirika Lisilo la FaidaFundi umemeMkadarasi wa HVACMkandarasiMkandarasi wa Ujenzi wa NdaniUjenzi wa nyumbaUjenzi wa Nyumba za KuishiElimuHifadhi ya MaumbileMpiga pichaMtoa BurudaniMaduka ya vyakula na makubwaBimaBima ya maishaMwanasheriaWakala wa BimaWatoa BimaHuduma ya Afya ya KiakiliMakaburiniOptometristsWaganga na Wafanya upasuajiZa saluniHuduma kwa ViwandaHuduma ya Biashara kwa BiasharaHuduma za Ushauri na ElekeziDuka la dawaDuka la ZawadiRanchiUrahisi madukaYa jumla ya kuhifadhiEneo la Kucheza Gofu ya DiskiUmma mbugaKitanda na kifungua kinywaMizigo ya usambazaji
Viwanda
Mgawanyo wa biashara kwa sekta katika Miller
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Afya na matibabu | 29 | — |
| Usimamizi wa umma | 26 | 53 year |
| Elimu | 21 | — |
| Dini | 18 | 74 year |
| Mikahawa | 17 | 29 year |
| Utengenezaji wa magari | 17 | 29 year |
| Ujenzi wa majengo | 15 | 42 year |
| Wahasibu | 11 | — |
| Manunuzi | 10 | 22 year |
| Za saluni | 10 | — |
| Kituo cha kuuza mafuta | 9 | — |
| Huduma za kifedha | 8 | 18 year |
| Haifikiwi | 8 | — |
| Nyingine malazi | 7 | 29 year |
| Uanasheria | 7 | 45 year |
| Vyakula vyote na Vinywaji | 7 | 26 year |
| Manunuzi mengineyo | 7 | — |
Ukweli wa Miller
| Area | 1.0 mi² |
| Idadi ya Watu | 1,383 |
| Idadi ya Wanaume | 629 (45.5%) |
| Idadi ya Wanawake | 754 (54.5%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +85.6% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -12.5% |
| Umri Wastani | Miaka 51.7 (Mwanamume: 49.2, Mwanamke: 54.3) |
| Simu Kiambishi | 605 |
| Mitaa | Miller |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Kati |
| Latitudo na Longitudo | 44.51831, -98.98843 |
| Posta | 57362 |
Ramani ya Miller
Ramani inayoingiliana
Idadi ya watu ya Miller
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 745 | 1,151 | 1,581 | 1,368 | 1,383 |
| Uzani wa Idadi ya Watu | 735.1 / mi² | 1,135.6 / mi² | 1,559.9 / mi² | 1,349.8 / mi² | 1,364.6 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Miller kutoka 2000 hadi 2015
Kupungua kwa 13.5% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Miller | +83.6% | +18.9% | -13.5% |
| South Dakota | +35.2% | +21.7% | +11.2% |
| 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 Miller
Umri wa wastani: miaka 51.7
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Miller | 51.7 yrs | 54.3 yrs | 49.2 yrs |
| South Dakota | 37.2 yrs | 38.4 yrs | 35.9 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Miller
Msongamano wa watu: 1,365 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Miller | 1,383 | 1.014 sq mi | 1,365 / mi² |
| South Dakota | 842,917 | 77,115.8 sq mi | 10.9 / 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 Miller
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 Miller
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 Miller
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 |
|---|---|---|---|
| Miller | 26,817 tn | 19.39 tn | 26,459.5 tons/mi² |
| South Dakota | 15,943,605 tn | 18.91 tn | 206.7 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 Miller
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 26,817 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 19.39 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 26,459.5 tons/mi² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | High (9) |
| Flood | Medium (4) |
* 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 Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
Matetemeko ya Ardhi ya hivi karibuni
Uzito 3.0 na zaidi
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 8/15/17 | 12:55 AM | 3 | 85.1 km | 5,000 m | 16km NNE of Onida, South Dakota | usgs.gov |
| 11/21/03 | 1:09 AM | 3.5 | 33.7 km | 5,000 m | South Dakota | usgs.gov |
| 7/26/02 | 8:32 AM | 3.1 | 63.7 km | 5,000 m | South Dakota | usgs.gov |
| 10/25/90 | 6:25 AM | 3.6 | 90.5 km | 5,000 m | South Dakota | usgs.gov |
| 10/15/87 | 10:54 AM | 3 | 31.4 km | 5,000 m | South Dakota | usgs.gov |
| 7/9/87 | 10:06 PM | 3 | 59.2 km | 10,000 m | South Dakota | usgs.gov |
| 5/25/86 | 7:13 AM | 3.6 | 85.4 km | 5,000 m | South Dakota | usgs.gov |
| 3/4/83 | 6:32 AM | 4.4 | 47.6 km | 5,000 m | South Dakota | usgs.gov |
| 7/23/46 | 6:45 AM | 4.1 | 55.9 km | — | South Dakota | usgs.gov |
| 6/2/11 | 10:34 PM | 4.5 | 72.1 km | — | South Dakota | 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.