Kategoria katika Ban Dan
Viwanda
Mgawanyo wa biashara kwa sekta katika Ban Dan
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Mikahawa | 14 |
| Maduka ya vyakula na makubwa | 10 |
Ukweli wa Ban Dan
| Area | 136.5 km² |
| Idadi ya Watu | 23,743 |
| Idadi ya Wanaume | 11,548 (48.6%) |
| Idadi ya Wanawake | 12,195 (51.4%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | -26.1% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -22.8% |
| Umri Wastani | Miaka 34.7 (Mwanamume: 33.8, Mwanamke: 35.6) |
| Mitaa | Ban Dan(King), Tambon Ban Dan, Ban Dan |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Indochina |
| Latitudo na Longitudo | 15.10839, 103.17551 |
Ramani ya Ban Dan
Ramani inayoingiliana
Idadi ya watu ya Ban Dan
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 32,113 | 33,670 | 30,767 | 23,087 | 23,743 |
| Uzani wa Idadi ya Watu | 235.3 / km² | 246.7 / km² | 225.4 / km² | 169.1 / km² | 173.9 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Ban Dan kutoka 2000 hadi 2015
Kupungua kwa 25% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Ban Dan | -28.1% | -31.4% | -25% |
| Changwat Buriram | -29% | -32.3% | -25.3% |
| Uthai | +60.4% | +20.1% | +8.3% |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Ban Dan
Umri wa wastani: miaka 34.7
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Ban Dan | 34.7 yrs | 35.6 yrs | 33.8 yrs |
| Changwat Buriram | 34.7 yrs | 35.7 yrs | 33.8 yrs |
| Uthai | 35.2 yrs | 36 yrs | 34.3 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Ban Dan
Msongamano wa watu: 174 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Ban Dan | 23,743 | 136.5 km² | 174 / km² |
| Changwat Buriram | 1.1 million | 10,144.6 km² | 113 / km² |
| Uthai | 67.6 million | 514,961.7 km² | 131 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Ban Dan
Idadi ya watu inayokadiriwa kutoka 400 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 Ban Dan
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 Ban Dan
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 |
|---|---|---|---|
| Ban Dan | 89,334 tn | 3.76 tn | 654.5 tons/km² |
| Changwat Buriram | 4,310,529 tn | 3.75 tn | 424.9 tons/km² |
| Uthai | 278,589,420 tn | 4.12 tn | 541 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 Ban Dan
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 89,334 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 3.76 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 654.5 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (7) |
| Flood | High (10) |
| Earthquake | Low (2) |
* 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.
- 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.
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.