Ukweli wa Morumbi
| Area | 4.1 km² |
| Idadi ya Watu | 515 |
| Idadi ya Wanaume | 278 (53.9%) |
| Idadi ya Wanawake | 237 (46.1%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +41.1% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -3.6% |
| Umri Wastani | Miaka 27.7 (Mwanamume: 28.4, Mwanamke: 26.5) |
| Mitaa | Morumbi, Cidade Monções |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Amazon |
| Latitudo na Longitudo | -23.80222, -54.10278 |
| Posta | 79972 |
Ramani ya Morumbi
Ramani inayoingiliana
Idadi ya watu ya Morumbi
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 365 | 480 | 534 | 574 | 515 | 534 | 559 |
| Uzani wa Idadi ya Watu | 88.5 / km² | 116.4 / km² | 129.5 / km² | 139.2 / km² | 124.8 / km² | 129.5 / km² | 135.5 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Morumbi kutoka 2000 hadi 2020
Kupungua kwa 3.6% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Morumbi | +41.1% | +7.3% | -3.6% |
| Mato Grosso do Sul | — | — | — |
| Brazil | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Morumbi
Umri wa wastani: miaka 27.7
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Morumbi | 27.7 yrs | 26.5 yrs | 28.4 yrs |
| Mato Grosso do Sul | 28.8 yrs | 29.3 yrs | 28.4 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Morumbi
Msongamano wa watu: 125 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Morumbi | 515 | 4.125 km² | 125 / km² |
| Mato Grosso do Sul | 2.8 million | 357,145.1 km² | 7.7 / km² |
| Brazil | 206.1 million | 8,479,487.1 km² | 24.3 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Morumbi
Idadi ya watu inayokadiriwa kutoka 1975 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.
Posta
Asilimia ya biashara kwa Misimbo ya Posta katika Morumbi
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 Morumbi
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 |
|---|---|---|---|
| Morumbi | 1,587 tn | 3.08 tn | 384.8 tons/km² |
| Mato Grosso do Sul | 9,308,425 tn | 3.37 tn | 26.1 tons/km² |
| Brazil | 561,829,904 tn | 2.73 tn | 66.3 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 Morumbi
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 1,587 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 3.08 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 384.8 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mafuriko | Wastani (4) |
* 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. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
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.