Kategoria katika Deep River
Viwanda
Mgawanyo wa biashara kwa sekta katika Deep River
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Usimamizi wa umma | 23 | 30 year |
| Mikahawa | 19 | 23 year |
| Udhibiti wa shirika | 14 | 19 year |
| Manunuzi | 13 | 21 year |
| Nyingine malazi | 10 | 25 year |
| Dini | 10 | 26 year |
| Elimu | 10 | — |
| Majengo | 10 | — |
| Manunuzi mengineyo | 9 | — |
| Utengenezaji wa magari | 8 | — |
| Afya na matibabu | 8 | — |
| Maduka ya nguo | 7 | — |
| Umma mbuga | 7 | — |
| Huduma za jamii | 6 | 24 year |
Ukweli wa Deep River
| Area | 64.9 km² |
| Idadi ya Watu | 4,808 |
| Idadi ya Wanaume | 2,408 (50.1%) |
| Idadi ya Wanawake | 2,400 (49.9%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +51.5% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +20.2% |
| Umri Wastani | Miaka 47.4 (Mwanamume: 46.2, Mwanamke: 48.6) |
| Pato la Taifa kwa kila mtu (PPP) | $27,728 (2022) |
| Simu Kiambishi | 613 |
| Mitaa | Hull, Alta Vista |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Mashariki |
| Latitudo na Longitudo | 46.10012, -77.49949 |
| Posta | K0J |
Ramani ya Deep River
Ramani inayoingiliana
Idadi ya watu ya Deep River
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 3,173 | 3,703 | 4,001 | 4,426 | 4,808 | 4,983 | 5,136 |
| Uzani wa Idadi ya Watu | 48.9 / km² | 57.1 / km² | 61.7 / km² | 68.2 / km² | 74.1 / km² | 76.8 / km² | 79.2 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Deep River kutoka 2000 hadi 2020
Ongezeko la 20.2% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Deep River | +51.5% | +29.8% | +20.2% |
| Ontario | — | — | — |
| Kanada | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Deep River
Umri wa wastani: miaka 47.4
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Deep River | 47.4 yrs | 48.6 yrs | 46.2 yrs |
| Ontario | 40.6 yrs | 41.4 yrs | 39.6 yrs |
| Kanada | 40.6 yrs | 41.5 yrs | 39.6 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Deep River
Msongamano wa watu: 74.1 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Deep River | 4,808 | 64.9 km² | 74.1 / km² |
| Ontario | 13.8 million | 1,078,182.8 km² | 12.8 / km² |
| Kanada | 35.5 million | 9,875,295.4 km² | 3.6 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Deep River
Idadi ya watu inayokadiriwa kutoka 1710 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 Deep River
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 Deep River
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 | $21,155 | $23,559 | $25,354 | $26,254 | $25,740 | $26,554 | $25,918 | $27,728 |
| Jumla ya Pato la Taifa | $68M | $80M | $88.3M | $94.3M | $92.8M | $101.4M | $104M | $111.8M |
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 Deep River
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 |
|---|---|---|---|
| Deep River | 70,275 tn | 14.62 tn | 1,083.2 tons/km² |
| Ontario | 197,940,137 tn | 14.38 tn | 183.6 tons/km² |
| Kanada | 521,999,336 tn | 14.7 tn | 52.9 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 Deep River
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 70,275 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 14.62 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 1,083.2 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mtetemeko wa ardhi | Wastani (6) |
* 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 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 |
|---|---|---|---|---|---|---|
| 5/14/16 | 9:29 PM | 3.5 | 19.9 km | 18,000 m | 5km NNW of Petawawa, Canada | usgs.gov |
| 10/20/15 | 11:36 PM | 3.1 | 50 km | 18,000 m | 10km S of Pembroke, Canada | usgs.gov |
| 10/20/15 | 11:34 PM | 3.8 | 49.1 km | 18,000 m | 9km SSW of Pembroke, Canada | usgs.gov |
| 9/9/15 | 7:17 PM | 3.19 | 94.8 km | 10,000 m | 20km NE of Shawville, Canada | usgs.gov |
| 10/20/13 | 10:40 AM | 3.6 | 54.5 km | 18,000 m | 33km SSW of Petawawa, Canada | usgs.gov |
| 6/30/13 | 8:40 AM | 3.1 | 97.2 km | 14,000 m | 19km NNE of Shawville, Canada | usgs.gov |
| 5/17/13 | 8:15 PM | 3.1 | 96.8 km | 18,000 m | 21km NNE of Shawville, Canada | usgs.gov |
| 5/17/13 | 1:53 PM | 3.63 | 96.6 km | 10,720 m | 18km NE of Shawville, Canada | usgs.gov |
| 5/17/13 | 1:43 PM | 5.06 | 96.7 km | 13,000 m | 19km NNE of Shawville, Canada | usgs.gov |
| 3/29/11 | 4:04 PM | 3.5 | 66.7 km | 18,000 m | southern Quebec, Canada | 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.