Kuvinjari:

Biashara katika Mati

 

Kategoria katika Mati

Duka la PikipikiDuka la Sehemu za PikipikiDuka la Vipuri vya MagariEneo la Kuosha GariKituo cha GesiMarekebisho na Matengenezo ya MagariMuuza PikipikiPikipiki kukarabatiUkodishaji magariUtengenezaji wa magariDuka la Bidhaa za OfisiHuduma ya Uchapishaji wa KidijitaliMsambazaji wa Bidhaa za ChakulaMsambazaji wa Maji ya ChupaMtengenezaji wa ChakulaUkulimaWauzaji wa jumlaDuka la nguo na uremboHuduma ya DobiMaduka ya nguoWanawake mavaziMtangazaji wa RedioMtoa Huduma ya MawasilianoSimu ya mkononi madukaDiniJiko la SupuKanisa KatolikiKanisa la KibaptistiKituo cha JumuiyaMakanisaMisikitiOfisi ya SerikaliOfisi ya Serikali ya JijiOfisi ya Serikali ya KaribuShirika Lisilo la FaidaTaasisi ya DiniDuka la ElektronikiDuka la Matengenezo ya Simu za MkononiHuduma ya Kutengeneza KompyutaHuduma za KompyutaDuka la Bidhaa za NyumbaniDuka la Bidhaa za UmemeDuka la Vifaa vya nyumbaniDuka la Vifaa vya ujenziDuka la vipuri vya chumaMajengo ya MakaziUjenzi wa majengoChuoChuo KikuuElimuKituo cha ElimuShule ya MwanzoShule ya UpiliTaasisi ya ElimuKivutio cha WataliMsanifu MichoroStudio ya PichaBaaBaa, baa na MikahawaBaa ya nyumbaniBaa ya VitafunioDuka la KekiEneo la VyakulaInternet cafesKahawa migahawaKufunga chakula migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMchukuzi wa chakulaMikahawaMkahawa unaouza KukuMkahawa wa IkariPizzaUokaji mikateSamani madukaAsubuhi yaBenkiHuduma ya Hawilisho ya PesaHuduma za KisheriaTaasisi ya KifedhaWakala wa BimaHospitaliKliniki ya MenoMkuu wa watendajiNyumba ya MaitiUtabibuSaluni ya NyweleVinyoziZa saluniDuka la UchapishajiHuduma ya Biashara kwa BiasharaKituo cha BiasharaAjenti wa Mali IsiyohamishikaGhorofa yenye VyumbaJengo la FletiJengo la MakaziUkodishaji wa Ghorofa za LikizoDuka KuuDuka la dawaDuka la JumlaDuka la MchezoDuka la VipodoziDuka la ZawadiKituo cha UnunuziKompyuta madukaMaduka ya kambaMaduka ya vitabu na magazetiManunuziSokoUrahisi madukaWanaoshughulikia MauaBaiskeliKlabu ya MichezoUkumbi wa michezo ya mazoezi ya viungoUmma mbugaUwanja wa kucheza Mpira wa kikapuUwanja wa kupigia kambiBohariChama cha MakaziHosteliHoteli na motelsHoteli ya UfuoniHotelsHuduma ya TarishiHuduma ya UwasilishajiHuduma za UsafiriKitanda na kifungua kinywaMatembeziNyumba ya Kupanga na ChakulaNyumba ya wageniVilaVyumba vya kulalaWakala wa Kupangisha Nyumba ya LikizoWakala wa UsafiriHaifikiwi

Viwanda

Mgawanyo wa biashara kwa sekta katika Mati

Maelezo ya ViwandaIdadi ya Uanzishwaji
Manunuzi146
Mikahawa114
Elimu96
Usimamizi wa umma73
Nyingine malazi54
Hoteli na motels34
Dini33

Ukweli wa Mati

Area635.3 km²
Idadi ya Watu143,383
Idadi ya Wanaume73,501 (51.3%)
Idadi ya Wanawake69,882 (48.7%)
Mabadiliko ya idadi ya watu (1975 to 2020)+344.2%
Mabadiliko ya idadi ya watu (2000 to 2020)+33.7%
Umri WastaniMiaka 22.4 (Mwanamume: 22.4, Mwanamke: 22.4)
Simu Kiambishi87
MitaaDahican Beach, Poblacion, Matina Crossing, Calinan, Buso
wakati wa Kawaida
Ukanda wa saaSaa za Wastani za Ufilipino
Latitudo na Longitudo6.95508, 126.21655
Posta8200

Ramani ya Mati

Ramani inayoingiliana

Idadi ya watu ya Mati

Miaka 1975 hadi 2020

Data19751990200020152020
Idadi ya Watu32,28278,388107,221133,500143,383
Uzani wa Idadi ya Watu50.8 / km²123.4 / km²168.8 / km²210.2 / km²225.7 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Mati kutoka 2000 hadi 2015

Ongezeko la 24.5% kutoka mwaka 2000 hadi 2015

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Mati+313.5%+70.3%+24.5%
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 Mati

Umri wa wastani: miaka 22.4

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Mati22.4 yrs22.4 yrs22.4 yrs
Ufilipino23.2 yrs23.6 yrs22.8 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Mati

Msongamano wa watu: 226 / km²

LocationIdadi ya WatuAreaMsongamano
Mati143,383635.3 km²226 / km²
Ufilipino96.6 million296,939.4 km²325 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Idadi ya watu ya kihistoria na inayokadiriwa ya Mati

Idadi ya watu inayokadiriwa kutoka 1870 hadi 2100

Vyanzo:
  1. JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [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 Mati

Asilimia ya biashara kwa mtaa katika Mati

Simu Kiambishi

Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Mati

Mgawanyo wa bei

Ugawaji wa biashara kwa bei ya Mati

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 Mati

Carbon Dioxide (CO2) Uzalishaji wa hewa kwa Capita huko Tonnes kwa mwaka

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Mati146,215 tn1.02 tn230.2 tons/km²
Ufilipino104,920,564 tn1.09 tn353.3 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 Mati
Utoaji wa CO2 wa 2013 (tani/mwaka)146,215 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu1.02 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka)230.2 tons/km²

Hatari ya Hatari za Asili

Relative risk out of 10

HatariRisk Level
DroughtLow (2)
FloodHigh (10)
EarthquakeHigh (8.2)
CycloneHigh (8)
LandslideHigh (9)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Vyanzo:
  1. 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.
  2. 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.
  3. 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.
  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.
  5. 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.
  6. 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
3/21/196:57 PM4.527 km35,000 m15km NNE of Limot, Philippinesusgs.gov
12/19/1810:38 PM4.635.8 km77,640 m20km E of Tibanbang, Philippinesusgs.gov
9/8/189:18 AM4.216.2 km10,000 m3km ESE of Mayo, Philippinesusgs.gov
6/10/188:21 AM4.531 km74,580 m15km ENE of Tibanbang, Philippinesusgs.gov
5/17/1710:24 PM4.416.6 km10,000 m6km SE of Mayo, Philippinesusgs.gov
3/8/176:50 PM4.336.1 km57,880 m3km NW of Sigaboy, Philippinesusgs.gov
1/21/1711:45 PM4.227.2 km76,280 m13km S of Tamisan, Philippinesusgs.gov
12/5/163:38 PM4.56.6 km61,110 m2km E of Davan, Philippinesusgs.gov
11/23/1611:24 PM4.526.1 km19,360 m12km ENE of Tombongon, Philippinesusgs.gov
7/18/162:04 PM4.215.9 km54,270 m9km ENE of Baon, Philippinesusgs.gov
Chanzo: U.S. Geological Survey (USGS)
Lupon
Pop. 27,24723.7 km
Manay
Pop. 20,33645.8 km
Batobato
Pop. 9,71420.5 km

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.