Kategoria katika Mae Mo
Viwanda
Mgawanyo wa biashara kwa sekta katika Mae Mo
Ukweli wa Mae Mo
| Area | 32.6 km² |
| Idadi ya Watu | 5,035 |
| Idadi ya Wanaume | 2,490 (49.5%) |
| Idadi ya Wanawake | 2,545 (50.5%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | -25.7% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -8.1% |
| Umri Wastani | Miaka 38.4 (Mwanamume: 37.2, Mwanamke: 39.5) |
| Mitaa | Tambon Mae Mo, Mae Mo, ตำบลแม่เมาะ, Mae MO, แม่เมาะ |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Indochina |
| Latitudo na Longitudo | 18.27561, 99.65045 |
Ramani ya Mae Mo
Ramani inayoingiliana
Idadi ya watu ya Mae Mo
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 6,773 | 4,624 | 5,479 | 4,908 | 5,035 |
| Uzani wa Idadi ya Watu | 208 / km² | 142 / km² | 168.3 / km² | 150.7 / km² | 154.6 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Mae Mo kutoka 2000 hadi 2015
Kupungua kwa 10.4% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Mae Mo | -27.5% | +6.1% | -10.4% |
| Changwat Lampang | +9% | -11.5% | -12.5% |
| 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 Mae Mo
Umri wa wastani: miaka 38.4
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Mae Mo | 38.4 yrs | 39.5 yrs | 37.2 yrs |
| Changwat Lampang | 38.4 yrs | 39.5 yrs | 37.2 yrs |
| Uthai | 35.2 yrs | 36 yrs | 34.3 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Mae Mo
Msongamano wa watu: 155 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Mae Mo | 5,035 | 32.6 km² | 155 / km² |
| Changwat Lampang | 686,449 | 12,521.5 km² | 54.8 / 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 Mae Mo
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.
Mitaa ya Mae Mo
Asilimia ya biashara kwa mtaa katika Mae Mo
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Mae Mo
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Mae Mo
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 Mae Mo
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 |
|---|---|---|---|
| Mae Mo | 20,905 tn | 4.15 tn | 642 tons/km² |
| Changwat Lampang | 2,859,496 tn | 4.17 tn | 228.4 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 Mae Mo
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 20,905 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 4.15 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 642 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | High (9) |
| Flood | Medium (7) |
* 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.
Matetemeko ya Ardhi ya hivi karibuni
Uzito 3.0 na zaidi
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 12/9/95 | 1:25 PM | 4.7 | 79.7 km | 10,000 m | Thailand | usgs.gov |
| 5/7/94 | 7:55 PM | 3.6 | 50.9 km | 33,000 m | Thailand | usgs.gov |
| 7/24/88 | 9:51 PM | 4.2 | 98.8 km | 33,000 m | Thailand-Laos border region | usgs.gov |
| 2/18/88 | 6:38 PM | 4.2 | 83.1 km | 5,000 m | Thailand | 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.