Posta 15992-000 - Matão, Jimbo la São Paulo
Jimbo la São Paulo | Brazil
| Mji Msingi | Matão |
| Eneo la Posta 15992-000 | 23.4 km² |
| Idadi ya Watu | 1,358 |
| Idadi ya Wanaume | 668 (49.2%) |
| Idadi ya Wanawake | 690 (50.8%) |
| Mabadiliko ya idadi ya watu kutoka 1975 hadi 2020 | +1329.5% |
| Mabadiliko ya idadi ya watu kutoka 2000 hadi 2020 | +361.9% |
| Umri Wastani | 30.2 miaka |
| Umri Wastani wa Mwanaume | 30.1 miaka |
| Umri Wastani wa Mwanamke | 30.2 miaka |
| Viongezeo vya msimbo wa posta | 15992-000, 15992-100, 15992-150 |
| Timezone | Brasilia Standard Time |
| Kuratibu | -21.62306° / -48.33581000000001° |
| Posta zinazohusiana | 15945-000, 15990-000, 15991-000, 15993-000, 15994-000, 15995-000, 15996-000, 15997-000, 15998-000, 15999-000 |
Ramani ya Posta 15992-000 - Matão, Jimbo la São Paulo
Ramani inayoingiliana
Idadi ya watu ya Posta 15992-000 - Matão, Jimbo la São Paulo
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 95 | 185 | 294 | 246 | 1,358 | 1,441 | 1,498 |
| Uzani wa Idadi ya Watu | 4.1 / km² | 7.9 / km² | 12.6 / km² | 10.5 / km² | 58 / km² | 61.5 / km² | 64 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Posta 15992-000 - Matão, Jimbo la São Paulo kutoka 2000 hadi 2020
Ongezeko la 361.9% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Posta 15992-000 - Matão, Jimbo la São Paulo | +1329.5% | +634.1% | +361.9% |
| Matão | +66.9% | +24.3% | +10.2% |
| Jimbo la São Paulo | +93.4% | +37.8% | +18.1% |
| Brazil | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Posta 15992-000 - Matão, Jimbo la São Paulo
Umri wa wastani: miaka 30.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Posta 15992-000 - Matão, Jimbo la São Paulo | 30.2 yrs | 30.2 yrs | 30.1 yrs |
| Matão | 32.3 yrs | 32.9 yrs | 31.7 yrs |
| Jimbo la São Paulo | 31.4 yrs | 32.4 yrs | 30.4 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Posta 15992-000
Msongamano wa watu: 58 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Posta 15992-000 | 1,358 | 23.4 km² | 58 / km² |
| Matão | 78,917 | 58.4 km² | 1,351 / km² |
| Jimbo la São Paulo | 45.2 million | 248,223.6 km² | 182 / 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 Posta 15992-000 - Matão, Jimbo la São Paulo
Idadi ya watu inayokadiriwa kutoka 1100 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 Posta 15992-000 - Matão, Jimbo la São Paulo
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 | $14,014 | $15,250 | $15,727 | $16,647 | $17,262 | $17,311 | $16,076 | $16,371 |
| Jumla ya Pato la Taifa | $916.3M | $1.1B | $1.1B | $1.2B | $1.3B | $1.3B | $1.3B | $1.3B |
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 Posta 15992-000
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 |
|---|---|---|---|
| Posta 15992-000 | 5,454 tn | 4.02 tn | 232.9 tons/km² |
| Matão | 306,082 tn | 3.88 tn | 5,240.8 tons/km² |
| Jimbo la São Paulo | 158,459,932 tn | 3.51 tn | 638.4 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 Posta 15992-000
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 5,454 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 4.02 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 232.9 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mafuriko | Wastani (7) |
* Hatari, haswa juu ya mafuriko au maporomoko ya ardhi, inaweza kuwa sio kwa eneo lote.
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.