Ukweli wa Mongo

Area10.2 km²
Idadi ya Watu236,997
Idadi ya Wanaume115,788 (48.9%)
Idadi ya Wanawake121,209 (51.1%)
Mabadiliko ya idadi ya watu (1975 to 2020)+287.3%
Mabadiliko ya idadi ya watu (2000 to 2020)+86.2%
Umri WastaniMiaka 14.1 (Mwanamume: 13, Mwanamke: 15.3)
wakati wa Kawaida
Ukanda wa saaSaa za Afrika Magharibi
Latitudo na Longitudo12.18441, 18.69303

Ramani ya Mongo

Ramani inayoingiliana

Idadi ya watu ya Mongo

Miaka 1975 hadi 2020

Data19751990200020152020
Idadi ya Watu61,19990,479127,290211,696236,997
Uzani wa Idadi ya Watu6,007.3 / km²8,881.4 / km²12,494.7 / km²20,780 / km²23,263.5 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Mongo kutoka 2000 hadi 2015

Ongezeko la 66.3% kutoka mwaka 2000 hadi 2015

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Mongo+245.9%+134%+66.3%
Guera Region+250%+134.3%+66.2%
Chad+242.7%+135%+68.3%
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Umri wa wastani wa Mongo

Umri wa wastani: miaka 14.1

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Mongo14.1 yrs15.3 yrs13 yrs
Guera Region14.1 yrs15.3 yrs13 yrs
Chad14.6 yrs15.3 yrs14 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Mongo

Msongamano wa watu: 23,264 / km²

LocationIdadi ya WatuAreaMsongamano
Mongo236,99710.2 km²23,264 / km²
Guera Region678,77161,038.3 km²11.1 / km²
Chad14 million1,270,680.9 km²11 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Idadi ya watu ya kihistoria na inayokadiriwa ya Mongo

Idadi ya watu inayokadiriwa kutoka 1710 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.

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 Mongo

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

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Mongo17,340 tn0.07 tn1,702.1 tons/km²
Guera Region49,666 tn0.07 tn0.8 tons/km²
Chad1,069,769 tn0.08 tn0.8 tons/km²
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 Mongo
Utoaji wa CO2 wa 2013 (tani/mwaka)17,340 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu0.07 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka)1,702.1 tons/km²

Hatari ya Hatari za Asili

Relative risk out of 10

HatariRisk Level
DroughtHigh (8)

* 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.

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.