Viwanda

Mgawanyo wa biashara kwa sekta katika Highmore

Ukweli wa Highmore

Area2.1 mi²
Idadi ya Watu726
Idadi ya Wanaume346 (47.6%)
Idadi ya Wanawake380 (52.4%)
Mabadiliko ya idadi ya watu (1975 to 2020)+53.2%
Mabadiliko ya idadi ya watu (2000 to 2020)-22.8%
Umri WastaniMiaka 48.1 (Mwanamume: 44.6, Mwanamke: 51.1)
Simu Kiambishi605
wakati wa Kawaida
Ukanda wa saaSaa za Mchana za Kati
Latitudo na Longitudo44.52137, -99.44150
Posta57345

Ramani ya Highmore

Ramani inayoingiliana

Idadi ya watu ya Highmore

Miaka 1975 hadi 2020

Data19751990200020152020
Idadi ya Watu474772941726726
Uzani wa Idadi ya Watu228.4 / mi²372 / mi²453.4 / mi²349.8 / mi²349.8 / mi²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Highmore kutoka 2000 hadi 2015

Kupungua kwa 22.8% kutoka mwaka 2000 hadi 2015

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Highmore+53.2%-6%-22.8%
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 Highmore

Umri wa wastani: miaka 48.1

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Highmore48.1 yrs51.1 yrs44.6 yrs
South Dakota37.2 yrs38.4 yrs35.9 yrs
Marekani37.4 yrs38.7 yrs36.1 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Highmore

Msongamano wa watu: 350 / mi²

LocationIdadi ya WatuAreaMsongamano
Highmore7262.075 sq mi350 / mi²
South Dakota842,91777,115.8 sq mi10.9 / 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 Highmore

Idadi ya watu inayokadiriwa kutoka 1880 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 Highmore

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 Highmore

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

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Highmore14,124 tn19.45 tn6,805.6 tons/mi²
South Dakota15,943,605 tn18.91 tn206.7 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 Highmore
Utoaji wa CO2 wa 2013 (tani/mwaka)14,124 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu19.45 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka)6,805.6 tons/mi²

Hatari ya Hatari za Asili

Relative risk out of 10

HatariRisk Level
DroughtHigh (9)
FloodMedium (4)

* 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 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

TareheWakatiMagnitudeDistanceUndaniLocationKiunga
8/15/1712:55 AM354.4 km5,000 m16km NNE of Onida, South Dakotausgs.gov
8/9/117:45 PM3.377.4 km5,000 mSouth Dakotausgs.gov
11/21/031:09 AM3.560.7 km5,000 mSouth Dakotausgs.gov
7/26/028:32 AM3.198.9 km5,000 mSouth Dakotausgs.gov
11/26/891:06 AM3.395.8 km5,000 mSouth Dakotausgs.gov
10/15/8710:54 AM367.2 km5,000 mSouth Dakotausgs.gov
7/9/8710:06 PM393.9 km10,000 mSouth Dakotausgs.gov
3/4/836:32 AM4.434.3 km5,000 mSouth Dakotausgs.gov
7/23/466:45 AM4.181.9 kmSouth Dakotausgs.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.