Kategoria katika Sales
Duka la kutengeneza matairiKituo cha GesiMarekebisho na Matengenezo ya MagariUtengenezaji wa magariUkulimaMaduka ya nguoWanawake mavaziMakanisaDuka la Vifaa vya ujenziMajengo ya MakaziElimuShule ya UpiliKivutio cha WataliBaa, baa na MikahawaBaa ya VitafunioBurger migahawaDuka la BarafuMaduka ya vyakula na makubwaMikahawaUokaji mikateSaluni ya NyweleUtunzaji wa mikono na kucha na miguuVinyoziJengo la FletiJengo la MakaziNyumba ya MashambaniSehemu ya Nyumba za MajumuiUkodishaji wa Ghorofa za LikizoDuka KuuDuka la dawaManunuziBandariHoteli na motelsKitanda na kifungua kinywaLikizo ya shambaniVyumba vya kulala
Viwanda
Mgawanyo wa biashara kwa sekta katika Sales
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Mikahawa | 41 |
| Magorofa | 35 |
| Nyingine malazi | 22 |
| Maduka ya nguo | 20 |
| Maduka ya vyakula na makubwa | 19 |
| Usimamizi wa umma | 13 |
| Utengenezaji wa magari | 12 |
| Manunuzi | 12 |
| Uokaji mikate | 11 |
| Maduka ya dawa na maduka ya madawa ya kulevya | 10 |
| Makanisa | 10 |
| Kituo cha kuuza mafuta | 10 |
| Udhibiti wa shirika | 10 |
| Baa, baa na Mikahawa | 10 |
Ukweli wa Sales
| Area | 2.3 km² |
| Idadi ya Watu | 4,656 |
| Idadi ya Wanaume | 2,367 (50.8%) |
| Idadi ya Wanawake | 2,289 (49.2%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +138.4% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +19.7% |
| Umri Wastani | Miaka 32.2 (Mwanamume: 31.2, Mwanamke: 33.2) |
| Pato la Taifa kwa kila mtu (PPP) | $38,804 (2022) |
| Mitaa | Centro, Jardim do Sol, Cabuçu, Zona Rural, centro |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Brasilia |
| Latitudo na Longitudo | -21.34111, -49.48528 |
| Posta | 14980 |
Ramani ya Sales
Ramani inayoingiliana
Idadi ya watu ya Sales
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 1,953 | 3,092 | 3,891 | 5,022 | 4,656 | 4,730 | 4,821 |
| Uzani wa Idadi ya Watu | 844.5 / km² | 1,337.1 / km² | 1,682.6 / km² | 2,171.7 / km² | 2,013.4 / km² | 2,045.4 / km² | 2,084.8 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Sales kutoka 2000 hadi 2020
Ongezeko la 19.7% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Sales | +138.4% | +50.6% | +19.7% |
| Jimbo la São Paulo | — | — | — |
| Brazil | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Sales
Umri wa wastani: miaka 32.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Sales | 32.2 yrs | 33.2 yrs | 31.2 yrs |
| Jimbo la São Paulo | 31.5 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 Sales
Msongamano wa watu: 2,013 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Sales | 4,656 | 2.313 km² | 2,013 / km² |
| Jimbo la São Paulo | 44.6 million | 248,223.6 km² | 180 / 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 Sales
Idadi ya watu inayokadiriwa kutoka 1400 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 Sales
Asilimia ya biashara kwa mtaa katika Sales
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Sales
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 Sales
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 | $25,243 | $26,788 | $27,447 | $34,540 | $42,657 | $41,882 | $33,371 | $38,804 |
| Jumla ya Pato la Taifa | $109.2M | $124.2M | $136.3M | $189.9M | $252.3M | $259M | $213M | $250.1M |
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 Sales
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 |
|---|---|---|---|
| Sales | 15,347 tn | 3.3 tn | 6,636.5 tons/km² |
| Jimbo la São Paulo | 156,280,136 tn | 3.51 tn | 629.6 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 Sales
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 15,347 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 3.3 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 6,636.5 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.
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.
Matetemeko ya Ardhi ya hivi karibuni
Uzito 3.0 na zaidi
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 7/26/18 | 4:04 AM | 3.5 | 74.3 km | 10,000 m | 16km SW of Penapolis, Brazil | 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.