Kategoria katika Aditmari
Viwanda
Mgawanyo wa biashara kwa sekta katika Aditmari
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Manunuzi | 10 |
Ukweli wa Aditmari
| Area | 182.4 km² |
| Idadi ya Watu | 267,350 |
| Idadi ya Wanaume | 133,532 (49.9%) |
| Idadi ya Wanawake | 133,818 (50.1%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +120.7% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +20.7% |
| Umri Wastani | Miaka 23.3 (Mwanamume: 22.9, Mwanamke: 23.6) |
| Pato la Taifa kwa kila mtu (PPP) | $4,957 (2022) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Bangladesh |
| Latitudo na Longitudo | 25.92537, 89.35502 |
| Posta | 5510 |
Ramani ya Aditmari
Ramani inayoingiliana
Idadi ya watu ya Aditmari
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 121,137 | 181,023 | 221,513 | 263,133 | 267,350 | 275,219 | 281,026 |
| Uzani wa Idadi ya Watu | 664.2 / km² | 992.6 / km² | 1,214.6 / km² | 1,442.8 / km² | 1,465.9 / km² | 1,509.1 / km² | 1,540.9 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Aditmari kutoka 2000 hadi 2020
Ongezeko la 20.7% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Aditmari | +120.7% | +47.7% | +20.7% |
| Rangpur Division | — | — | — |
| Bangladesh | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Aditmari
Umri wa wastani: miaka 23.3
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Aditmari | 23.3 yrs | 23.6 yrs | 22.9 yrs |
| Rangpur Division | 23.9 yrs | 24.1 yrs | 23.7 yrs |
| Bangladesh | 23.2 yrs | 23.3 yrs | 23.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Aditmari
Msongamano wa watu: 1,466 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Aditmari | 267,350 | 182.4 km² | 1,466 / km² |
| Rangpur Division | 17.5 million | 16,294.6 km² | 1,071 / km² |
| Bangladesh | 160.5 million | 139,726.1 km² | 1,149 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Aditmari
Idadi ya watu inayokadiriwa kutoka 200 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.
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 Aditmari
Pato la Taifa kwa kila mtu, PPP ($ za kimataifa za 2017)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| Pato la Taifa kwa kila mtu | $1,450 | $1,432 | $1,659 | $2,139 | $2,790 | $3,586 | $4,404 | $4,957 |
| Jumla ya Pato la Taifa | $79.3M | $84.1M | $103.9M | $142.1M | $191.7M | $260.3M | $349.7M | $397.8M |
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 Aditmari
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 |
|---|---|---|---|
| Aditmari | 149,177 tn | 0.56 tn | 818 tons/km² |
| Rangpur Division | 9,416,618 tn | 0.54 tn | 577.9 tons/km² |
| Bangladesh | 86,978,104 tn | 0.54 tn | 622.5 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 Aditmari
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 149,177 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 0.56 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 818 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Wastani (5) |
| Mafuriko | Juu (10) |
| Mtetemeko wa ardhi | Wastani (7) |
* Hatari, haswa juu ya mafuriko au maporomoko ya ardhi, inaweza kuwa sio kwa eneo lote.
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.
- 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
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 9/12/18 | 4:50 AM | 5.3 | 94.5 km | 10,000 m | 6km NE of Sapatgram, India | usgs.gov |
| 3/21/18 | 10:58 PM | 4 | 69.6 km | 10,000 m | 15km SSW of Goshaingaon, India | usgs.gov |
| 1/20/18 | 1:14 AM | 4.5 | 56.8 km | 11,470 m | 5km NE of Golakganj, India | usgs.gov |
| 10/23/16 | 3:56 PM | 4.6 | 92.1 km | 24,310 m | 5km NW of Lakhipur, India | usgs.gov |
| 5/16/16 | 6:03 PM | 4.3 | 87.3 km | 35,120 m | 16km SSW of Lakhipur, India | usgs.gov |
| 3/12/16 | 4:15 PM | 3.9 | 97.7 km | 14,880 m | 9km NW of Birpara, India | usgs.gov |
| 9/11/15 | 11:56 PM | 4 | 24.8 km | 18,500 m | 12km SE of Dinhata, India | usgs.gov |
| 8/28/15 | 7:21 PM | 4.2 | 57 km | 13,700 m | 11km NNW of Gaibandha, Bangladesh | usgs.gov |
| 8/20/15 | 7:21 PM | 3.9 | 91.1 km | 42,950 m | 4km WSW of Lakhipur, India | usgs.gov |
| 9/12/14 | 7:56 AM | 4.1 | 70.9 km | 15,000 m | 18km NE of Mankachar, India | 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.