Viwanda

Mgawanyo wa biashara kwa sekta katika Miāo

Ukweli wa Miāo

Area1685.3 km²
Idadi ya Watu34,871
Idadi ya Wanaume17,824 (51.1%)
Idadi ya Wanawake17,047 (48.9%)
Mabadiliko ya idadi ya watu (1975 to 2020)+132.9%
Mabadiliko ya idadi ya watu (2000 to 2020)+1.8%
Umri WastaniMiaka 21.6 (Mwanamume: 22.1, Mwanamke: 21.1)
Pato la Taifa kwa kila mtu (PPP)$10,018 (2022)
Simu Kiambishi3808
MitaaUpper Colony
wakati wa Kawaida
Ukanda wa saaSaa za Wastani za India
Latitudo na Longitudo27.49335, 96.18118
Posta792122

Ramani ya Miāo

Ramani inayoingiliana

Idadi ya watu ya Miāo

Miaka 1975 hadi 2030

Data197519902000201520202025*2030*
Idadi ya Watu14,97224,96234,26951,40934,87137,74640,129
Uzani wa Idadi ya Watu8.9 / km²14.8 / km²20.3 / km²30.5 / km²20.7 / km²22.4 / km²23.8 / km²
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Miāo kutoka 2000 hadi 2020

Ongezeko la 1.8% kutoka mwaka 2000 hadi 2020

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Miāo+132.9%+39.7%+1.8%
Arunachal Pradesh
Uhindi
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Umri wa wastani wa Miāo

Umri wa wastani: miaka 21.6

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Miāo21.6 yrs21.1 yrs22.1 yrs
Arunachal Pradesh21.8 yrs21.2 yrs22.3 yrs
Uhindi24.9 yrs25.4 yrs24.5 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Miāo

Msongamano wa watu: 20.7 / km²

LocationIdadi ya WatuAreaMsongamano
Miāo34,8711,685.3 km²20.7 / km²
Arunachal Pradesh1.5 million82,115.1 km²18.7 / km²
Uhindi1,307 million3,083,563.4 km²424 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Idadi ya watu ya kihistoria na inayokadiriwa ya Miāo

Idadi ya watu inayokadiriwa kutoka 0 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.

Simu Kiambishi

Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Miāo

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

Pato la Taifa (GDP) la Miāo

Pato la Taifa kwa kila mtu, PPP ($ za kimataifa za 2017)

Data19901995200020052010201520202022
Pato la Taifa kwa kila mtu$1,954$2,227$2,321$3,570$4,645$7,148$7,777$10,018
Jumla ya Pato la Taifa$33.2M$42.9M$49.5M$85.3M$122.4M$205.9M$245.5M$326.4M
Chanzo: [Kiunga] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x

Utoaji wa CO2 wa Miāo

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

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Miāo47,502 tn1.36 tn28.2 tons/km²
Arunachal Pradesh2,452,062 tn1.6 tn29.9 tons/km²
Uhindi1,928,568,344 tn1.48 tn625.4 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 Miāo
Utoaji wa CO2 wa 2013 (tani/mwaka)47,502 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu1.36 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka)28.2 tons/km²

Hatari ya Hatari za Asili

Hatari ya jamaa kati ya 10

HatariNgazi ya hatari
UkameWastani (3.1)
MafurikoJuu (10)
Mtetemeko wa ardhiJuu (9)
Udhibiti wa ardhiJuu (10)

* Hatari, haswa juu ya mafuriko au maporomoko ya ardhi, inaweza kuwa sio kwa eneo lote.

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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
  3. 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.
  4. 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.
  5. 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

TareheWakatiMagnitudeDistanceUndaniLocationKiunga
2/10/193:22 AM525.3 km10,000 m67km E of Margherita, Indiausgs.gov
12/23/1811:21 AM4.321.7 km10,000 m59km SSE of Tezu, Indiausgs.gov
11/28/1810:17 AM5.479.9 km11,000 m108km SE of Tezu, Indiausgs.gov
6/2/185:46 AM4.986.7 km38,890 m114km SE of Tezu, Indiausgs.gov
12/29/174:19 PM4.789.2 km76,880 m66km ESE of Khonsa, Indiausgs.gov
12/5/172:24 AM4.299.6 km89,320 m91km ESE of Khonsa, Indiausgs.gov
3/14/174:39 PM4.463.9 km54,220 m91km SE of Tezu, Indiausgs.gov
9/3/169:38 PM4.569.8 km43,690 m100km SE of Tezu, Indiausgs.gov
10/17/149:44 AM4.795.4 km10,000 m122km SE of Tezu, Indiausgs.gov
2/6/143:07 PM4.580.9 km47,880 m96km ESE of Tezu, Indiausgs.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.