Ukweli wa Pamparomas
| Area | 411.2 km² |
| Idadi ya Watu | 8,931 |
| Idadi ya Wanaume | 4,453 (49.9%) |
| Idadi ya Wanawake | 4,478 (50.1%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +59.5% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +3.3% |
| Umri Wastani | Miaka 19.3 (Mwanamume: 19, Mwanamke: 19.7) |
| Pato la Taifa kwa kila mtu (PPP) | $13,461 (2022) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Peru |
| Latitudo na Longitudo | -9.07361, -77.98139 |
| Posta | 02181 |
Ramani ya Pamparomas
Ramani inayoingiliana
Idadi ya watu ya Pamparomas
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 5,599 | 7,751 | 8,642 | 8,996 | 8,931 | 8,799 | 8,751 |
| Uzani wa Idadi ya Watu | 13.6 / km² | 18.9 / km² | 21 / km² | 21.9 / km² | 21.7 / km² | 21.4 / km² | 21.3 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Pamparomas kutoka 2000 hadi 2020
Ongezeko la 3.3% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Pamparomas | +59.5% | +15.2% | +3.3% |
| Ancash | — | — | — |
| Peru | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Pamparomas
Umri wa wastani: miaka 19.3
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Pamparomas | 19.3 yrs | 19.7 yrs | 19 yrs |
| Ancash | 25.1 yrs | 25.7 yrs | 24.6 yrs |
| Peru | 25.1 yrs | 25.6 yrs | 24.6 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Pamparomas
Msongamano wa watu: 21.7 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Pamparomas | 8,931 | 411.2 km² | 21.7 / km² |
| Ancash | 1.1 million | 35,888.1 km² | 30.8 / km² |
| Peru | 31 million | 1,291,975 km² | 24 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Pamparomas
Idadi ya watu inayokadiriwa kutoka 0 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 Pamparomas
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 | $2,723 | $2,610 | $6,177 | $7,855 | $9,416 | $10,893 | $9,069 | $13,461 |
| Jumla ya Pato la Taifa | $13.9M | $13.8M | $33.7M | $44M | $53.5M | $61.8M | $51.1M | $75.4M |
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 Pamparomas
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 |
|---|---|---|---|
| Pamparomas | 21,459 tn | 2.4 tn | 52.2 tons/km² |
| Ancash | 2,654,629 tn | 2.4 tn | 74 tons/km² |
| Peru | 71,626,946 tn | 2.31 tn | 55.4 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 Pamparomas
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 21,459 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 2.4 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 52.2 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Chini (2) |
| Mafuriko | Wastani (7) |
| Mtetemeko wa ardhi | Juu (8.5) |
| Udhibiti wa ardhi | Juu (8) |
* 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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- 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 Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
- 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 |
|---|---|---|---|---|---|---|
| 9/15/18 | 3:13 PM | 4.9 | 97.3 km | 66,210 m | 45km NW of Huarmey, Peru | usgs.gov |
| 8/27/18 | 4:16 AM | 4.2 | 79.3 km | 58,340 m | 39km NNW of Huarmey, Peru | usgs.gov |
| 6/20/18 | 7:47 PM | 4.6 | 94.6 km | 67,060 m | 28km WSW of Coishco, Peru | usgs.gov |
| 9/4/17 | 11:56 AM | 4.5 | 64.8 km | 103,520 m | 23km NE of Puerto Santa, Peru | usgs.gov |
| 1/4/16 | 7:01 PM | 3.8 | 70.7 km | 64,519 m | 40km N of Huarmey, Peru | usgs.gov |
| 3/21/15 | 4:58 PM | 5.1 | 86.6 km | 55,000 m | 33km SSW of Chimbote, Peru | usgs.gov |
| 7/23/13 | 9:48 AM | 4.6 | 74.8 km | 79,000 m | 5km WSW of Coishco, Peru | usgs.gov |
| 4/6/13 | 8:49 AM | 4.6 | 89.3 km | 74,600 m | 23km NNW of Puerto Santa, Peru | usgs.gov |
| 2/4/11 | 2:25 PM | 4.2 | 86.3 km | 58,000 m | near the coast of northern Peru | usgs.gov |
| 1/3/10 | 8:39 PM | 5.7 | 41.7 km | 116,800 m | central Peru | 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.