Kategoria katika Matalam
Duka la Vipuri vya MagariKituo cha GesiPikipiki kukarabatiUkulimaMaduka ya nguoDiniKanisa KatolikiMakanisaMisikitiOfisi ya SerikaliUkumbi wa KijijiDuka la vipuri vya chumaMajengo ya MakaziElimuShule ya MwanzoShule ya UpiliTaasisi ya ElimuKivutio cha WataliInternet cafesKahawa migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMikahawaUokaji mikateVinyoziJengo la FletiJengo la MakaziDuka la dawaDuka la JumlaManunuziUrahisi madukaUkumbi wa michezo ya mazoezi ya viungoChama cha MakaziMatembezi
Viwanda
Mgawanyo wa biashara kwa sekta katika Matalam
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Elimu | 79 |
| Manunuzi | 60 |
| Mikahawa | 48 |
| Usimamizi wa umma | 41 |
| Dini | 22 |
| Kahawa migahawa | 21 |
| Maduka ya vyakula na makubwa | 20 |
| Makanisa | 18 |
| Shule ya msingi ya msingi na | 14 |
| Uokaji mikate | 11 |
Ukweli wa Matalam
| Area | 245.8 km² |
| Idadi ya Watu | 81,625 |
| Idadi ya Wanaume | 42,442 (52.0%) |
| Idadi ya Wanawake | 39,183 (48.0%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +1111.2% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +96.4% |
| Umri Wastani | Miaka 21.2 (Mwanamume: 21.3, Mwanamke: 21.1) |
| Mitaa | Sarayan, New Alimodian, Poblacion |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 7.08639, 124.90056 |
| Posta | 9406 |
Ramani ya Matalam
Ramani inayoingiliana
Idadi ya watu ya Matalam
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 6,739 | 24,148 | 41,551 | 74,800 | 81,625 |
| Uzani wa Idadi ya Watu | 27.4 / km² | 98.2 / km² | 169 / km² | 304.3 / km² | 332.1 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Matalam kutoka 2000 hadi 2015
Ongezeko la 80% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Matalam | +1010% | +209.8% | +80% |
| Ufilipino | +146.5% | +63.3% | +29.5% |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Matalam
Umri wa wastani: miaka 21.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Matalam | 21.2 yrs | 21.1 yrs | 21.3 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Matalam
Msongamano wa watu: 332 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Matalam | 81,625 | 245.8 km² | 332 / km² |
| Ufilipino | 96.6 million | 296,939.4 km² | 325 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Matalam
Idadi ya watu inayokadiriwa kutoka 1910 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.
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Matalam
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
Utoaji wa CO2 wa Matalam
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 |
|---|---|---|---|
| Matalam | 83,431 tn | 1.02 tn | 339.4 tons/km² |
| Ufilipino | 104,920,564 tn | 1.09 tn | 353.3 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 Matalam
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 83,431 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.02 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 339.4 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (3.8) |
| Flood | High (10) |
| Earthquake | High (8) |
| Cyclone | Medium (7) |
| Landslide | Medium (7) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
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, International Bank for Reconstruction and Development - The World Bank, and United Nations Environment Programme Global Resource Information Database Geneva - UNEP/GRID-Geneva. 2005. Global Cyclone Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CZ353K.
- 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 |
|---|---|---|---|---|---|---|
| 7/10/19 | 12:56 AM | 5.1 | 31.4 km | 16,650 m | 12km SSW of Makilala, Philippines | usgs.gov |
| 7/9/19 | 3:31 PM | 4.9 | 43.6 km | 10,000 m | 13km NE of Telafas, Philippines | usgs.gov |
| 7/9/19 | 2:12 PM | 4.9 | 39.7 km | 15,630 m | 8km WNW of Magsaysay, Philippines | usgs.gov |
| 7/9/19 | 1:41 PM | 4.4 | 61.3 km | 10,000 m | 3km WNW of Kiblawan, Philippines | usgs.gov |
| 7/9/19 | 12:36 PM | 5.6 | 38.8 km | 9,520 m | 8km WNW of Magsaysay, Philippines | usgs.gov |
| 3/8/19 | 2:48 PM | 4.5 | 12.5 km | 30,040 m | 2km ESE of Linao, Philippines | usgs.gov |
| 2/19/19 | 1:28 PM | 4.4 | 24.9 km | 4,310 m | 9km ENE of Bagontapay, Philippines | usgs.gov |
| 5/20/18 | 2:21 AM | 4.3 | 57.2 km | 35,000 m | 4km ESE of Matinao, Philippines | usgs.gov |
| 2/23/18 | 8:26 PM | 4.1 | 48.2 km | 402,160 m | 3km NNW of Buayan, Philippines | usgs.gov |
| 9/25/17 | 8:59 PM | 4.4 | 23.5 km | 26,360 m | 6km N of Carmen, Philippines | 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.