Kategoria katika Coelemu
Duka la Vipuri vya MagariMarekebisho na Matengenezo ya MagariSanaa iliyoundwa kwa mkonoMaduka ya nguoKanisa la KiinjiliMajengo ya MakaziElimuKivutio cha WataliBaa, baa na MikahawaKufunga chakula migahawaMaduka ya vyakula na makubwaMikahawaShamba la mizabibuUokaji mikateDaktari wa macho na eyewearSaluni ya NyweleDuka KuuDuka la MvinyoDuka la VileoKituo cha UnunuziManunuziUkumbi wa michezo ya mazoezi ya viungoUmma mbugaHoteli na motelsMalazi ya KujihudumiaVyumba vya kulala
Viwanda
Mgawanyo wa biashara kwa sekta katika Coelemu
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Maduka ya vyakula na makubwa | 18 |
| Mikahawa | 18 |
| Elimu | 18 |
| Manunuzi | 14 |
| Mvinyo, bia na pombe maduka | 12 |
| Makanisa | 9 |
| Nyingine malazi | 8 |
| Udhibiti wa shirika | 6 |
| Hoteli na motels | 5 |
Ukweli wa Coelemu
| Area | 19.1 km² |
| Idadi ya Watu | 9,722 |
| Idadi ya Wanaume | 4,859 (50.0%) |
| Idadi ya Wanawake | 4,863 (50.0%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | -42.4% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -39.9% |
| Umri Wastani | Miaka 34.9 (Mwanamume: 34.7, Mwanamke: 35) |
| Pato la Taifa kwa kila mtu (PPP) | $14,219 (2022) |
| Simu Kiambishi | 42 |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Chile |
| Latitudo na Longitudo | -36.48741, -72.70320 |
| Posta | 3970000 |
Ramani ya Coelemu
Ramani inayoingiliana
Idadi ya watu ya Coelemu
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 16,883 | 17,116 | 16,177 | 13,153 | 9,722 | 9,671 | 9,288 |
| Uzani wa Idadi ya Watu | 885.7 / km² | 897.9 / km² | 848.6 / km² | 690 / km² | 510 / km² | 507.3 / km² | 487.2 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Coelemu kutoka 2000 hadi 2020
Kupungua kwa 39.9% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Coelemu | -42.4% | -43.2% | -39.9% |
| Región del Biobío | — | — | — |
| Chile | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Coelemu
Umri wa wastani: miaka 34.9
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Coelemu | 34.9 yrs | 35 yrs | 34.7 yrs |
| Región del Biobío | 32.4 yrs | 33 yrs | 31.7 yrs |
| Chile | 31.3 yrs | 32 yrs | 30.6 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Coelemu
Msongamano wa watu: 510 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Coelemu | 9,722 | 19.1 km² | 510 / km² |
| Región del Biobío | 17 | 6.2 km² | 2.7 / km² |
| Chile | 17.8 million | 751,744.8 km² | 23.7 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Coelemu
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.
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Coelemu
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 Coelemu
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 | $4,740 | $5,609 | $6,042 | $7,036 | $9,530 | $14,218 | $11,153 | $14,219 |
| Jumla ya Pato la Taifa | $12.5M | $15.6M | $16.7M | $18.9M | $24.8M | $36.9M | $30.2M | $38.2M |
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 Coelemu
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 |
|---|---|---|---|
| Coelemu | 42,431 tn | 4.36 tn | 2,225.9 tons/km² |
| Región del Biobío | 74 tn | 4.33 tn | 11.8 tons/km² |
| Chile | 87,296,657 tn | 4.91 tn | 116.1 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 Coelemu
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 42,431 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 4.36 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 2,225.9 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Juu (9) |
| Mtetemeko wa ardhi | 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, 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 Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Matetemeko ya Ardhi ya hivi karibuni
Uzito 3.0 na zaidi
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 10/20/16 | 4:38 AM | 4.4 | 12.3 km | 53,900 m | 38km ENE of Tome, Chile | usgs.gov |
| 1/10/16 | 4:36 AM | 4.7 | 12.6 km | 40,790 m | 37km NE of Tome, Chile | usgs.gov |
| 9/3/15 | 1:37 PM | 5 | 37.5 km | 60,000 m | 26km WSW of Bulnes, Chile | usgs.gov |
| 2/8/15 | 4:05 AM | 4 | 17.4 km | 47,000 m | 38km NE of Tome, Chile | usgs.gov |
| 4/24/13 | 8:58 AM | 4.2 | 24.3 km | 84,300 m | 21km NNW of Bulnes, Chile | usgs.gov |
| 4/21/12 | 5:14 AM | 4 | 14.8 km | 63,000 m | Bio-Bio, Chile | usgs.gov |
| 1/23/12 | 4:04 PM | 6.1 | 30.6 km | 20,000 m | offshore Bio-Bio, Chile | usgs.gov |
| 7/10/11 | 9:17 PM | 4.6 | 32.4 km | 52,200 m | Bio-Bio, Chile | usgs.gov |
| 5/15/11 | 5:01 AM | 4.5 | 31.6 km | 40,300 m | Bio-Bio, Chile | usgs.gov |
| 2/11/11 | 8:05 PM | 6.9 | 24.1 km | 26,000 m | offshore Bio-Bio, Chile | 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.