Kuvinjari:

Biashara katika Labo

 

Kategoria katika Labo

Duka la PikipikiDuka la Sehemu za PikipikiDuka la Vipuri vya MagariEneo la Kuosha GariKituo cha GesiMuuza PikipikiPikipiki kukarabatiUtengenezaji wa magariHuduma ya Uchapishaji wa KidijitaliUkulimaWauzaji wa jumlaMaduka ya nguoMaduka ya ViatuVito vya thamani na saaSimu ya mkononi madukaDiniKanisa KatolikiMakanisaOfisi ya SerikaliShirika Lisilo la FaidaTaasisi ya DiniDuka la ElektronikiHuduma ya Kutengeneza KompyutaDuka la Bidhaa za NyumbaniDuka la Vifaa vya nyumbaniDuka la Vifaa vya ujenziDuka la vipuri vya chumaMajengo ya MakaziUjenzi wa majengoElimuKituo cha ElimuShule ya MwanzoShule ya UpiliTaasisi ya ElimuKivutio cha WataliMpiga pichaBaa, baa na MikahawaDuka la BarafuInternet cafesKahawa migahawaKufunga chakula migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMchinjajiMikahawaMkahawa wa KifilipinoUokaji mikateMshonajiSamani madukaVitalu vya na vifaa bustaniBenkiHuduma ya Hawilisho ya PesaWakala wa BimaHospitaliKituo cha Afya cha JamiiMakaburiniMkuu wa watendajiNyumba ya MaitiUtabibuSaluni ya NyweleVinyoziZa saluniDuka la UchapishajiHuduma ya Biashara kwa BiasharaKituo cha BiasharaGhorofa yenye VyumbaJengo la FletiJengo la MakaziDuka KubwaDuka KuuDuka la dawaDuka la DawaDuka la JumlaDuka la VipodoziKituo cha UnunuziMaduka ya kambaManunuziSokoUrahisi madukaBaiskeliChama cha MakaziHoteli na motelsHuduma ya TarishiHuduma za UsafiriMatembeziVyumba vya kulalaHaifikiwi

Viwanda

Mgawanyo wa biashara kwa sekta katika Labo

Maelezo ya ViwandaIdadi ya Uanzishwaji
Manunuzi171
Elimu90
Maduka ya vyakula na makubwa89
Mikahawa77
Usimamizi wa umma42
Makanisa28
Kahawa migahawa24
Usafiri22

Ukweli wa Labo

Area547.1 km²
Idadi ya Watu108,655
Idadi ya Wanaume55,878 (51.4%)
Idadi ya Wanawake52,777 (48.6%)
Mabadiliko ya idadi ya watu (1975 to 2020)+423.7%
Mabadiliko ya idadi ya watu (2000 to 2020)+43.5%
Umri WastaniMiaka 21.1 (Mwanamume: 21, Mwanamke: 21.3)
Simu Kiambishi54
MitaaBagong Silang
wakati wa Kawaida
Ukanda wa saaSaa za Wastani za Ufilipino
Latitudo na Longitudo14.15320, 122.83030
Posta4604

Ramani ya Labo

Ramani inayoingiliana

Idadi ya watu ya Labo

Miaka 1975 hadi 2020

Data19751990200020152020
Idadi ya Watu20,74953,40275,73199,651108,655
Uzani wa Idadi ya Watu37.9 / km²97.6 / km²138.4 / km²182.2 / km²198.6 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Labo kutoka 2000 hadi 2015

Ongezeko la 31.6% kutoka mwaka 2000 hadi 2015

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Labo+380.3%+86.6%+31.6%
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 Labo

Umri wa wastani: miaka 21.1

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Labo21.1 yrs21.3 yrs21 yrs
Ufilipino23.2 yrs23.6 yrs22.8 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Labo

Msongamano wa watu: 199 / km²

LocationIdadi ya WatuAreaMsongamano
Labo108,655547.1 km²199 / 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 Labo

Idadi ya watu inayokadiriwa kutoka 1830 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.

Simu Kiambishi

Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Labo

Posta

Asilimia ya biashara kwa Misimbo ya Posta katika Labo

Mgawanyo wa bei

Ugawaji wa biashara kwa bei ya Labo

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 Labo

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

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Labo117,965 tn1.09 tn215.6 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 Labo
Utoaji wa CO2 wa 2013 (tani/mwaka)117,965 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu1.09 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka)215.6 tons/km²

Hatari ya Hatari za Asili

Relative risk out of 10

HatariRisk Level
DroughtMedium (4.9)
EarthquakeHigh (8)
CycloneHigh (10)
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 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
12/10/186:14 PM4.596.4 km35,000 m4km WSW of San Andres, Philippinesusgs.gov
10/6/182:16 PM4.252.1 km42,750 m4km N of Bao, Philippinesusgs.gov
7/16/1810:09 AM4.381 km40,310 m29km NE of Perez, Philippinesusgs.gov
7/5/189:00 PM4.495.6 km35,000 m21km NNE of Perez, Philippinesusgs.gov
4/19/188:37 PM4.398.2 km35,540 m63km NE of Jomalig, Philippinesusgs.gov
7/10/1611:37 AM4.557.6 km40,430 m13km W of Bao, Philippinesusgs.gov
6/22/162:27 AM4.384.8 km93,020 m5km ENE of Pitogo, Philippinesusgs.gov
4/3/163:01 AM4.298.9 km10,000 m62km NE of Jomalig, Philippinesusgs.gov
3/21/1612:35 PM4.468.1 km52,140 m11km SSE of Jomalig, Philippinesusgs.gov
3/16/169:45 AM4.375.8 km43,690 m48km ENE of Jomalig, Philippinesusgs.gov
Chanzo: U.S. Geological Survey (USGS)
Daet
Daet
Pop. 78,14214.2 km
Jose Pañganiban
Jose Pañganiban
Pop. 21,23621.3 km
Mercedes
Mercedes
Pop. 16,99120.1 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.