Viwanda
Mgawanyo wa biashara kwa sekta katika Mayo
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Kahawa migahawa | 21 |
| Mikahawa | 19 |
| Elimu | 16 |
| Usimamizi wa umma | 14 |
| Manunuzi | 13 |
| Nyingine malazi | 10 |
| Duka za vifaa vya elektroniki | 10 |
| Maduka ya vyakula na makubwa | 6 |
| Misikiti | 6 |
| Posta | 6 |
| Uchumi mwingine | 6 |
| Udhibiti wa shirika | 6 |
| Dini | 5 |
| Maduka ya nguo | 5 |
Ukweli wa Mayo
| Area | 3.2 km² |
| Idadi ya Watu | 1,491 |
| Idadi ya Wanaume | 730 (48.9%) |
| Idadi ya Wanawake | 761 (51.1%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +96.7% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -2.3% |
| Umri Wastani | Miaka 32.2 (Mwanamume: 31.4, Mwanamke: 33.1) |
| Mitaa | Tambon Mayo, Mayo |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Indochina |
| Latitudo na Longitudo | 6.71864, 101.40983 |
Ramani ya Mayo
Ramani inayoingiliana
Idadi ya watu ya Mayo
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 758 | 1,090 | 1,526 | 1,453 | 1,491 |
| Uzani wa Idadi ya Watu | 237.8 / km² | 342 / km² | 478.7 / km² | 455.8 / km² | 467.8 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Mayo kutoka 2000 hadi 2015
Kupungua kwa 4.8% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Mayo | +91.7% | +33.3% | -4.8% |
| Changwat Pattani | +44.7% | +6.2% | -2.4% |
| 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 Mayo
Umri wa wastani: miaka 32.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Mayo | 32.2 yrs | 33.1 yrs | 31.4 yrs |
| Changwat Pattani | 32.2 yrs | 33.1 yrs | 31.4 yrs |
| Uthai | 35.2 yrs | 36 yrs | 34.3 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Mayo
Msongamano wa watu: 468 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Mayo | 1,491 | 3.188 km² | 468 / km² |
| Changwat Pattani | 573,465 | 2,001.6 km² | 287 / 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 Mayo
Idadi ya watu inayokadiriwa kutoka 1300 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 Mayo
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 Mayo
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 |
|---|---|---|---|
| Mayo | 5,467 tn | 3.67 tn | 1,715.1 tons/km² |
| Changwat Pattani | 2,082,313 tn | 3.63 tn | 1,040.3 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 Mayo
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 5,467 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 3.67 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 1,715.1 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| 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. 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.