Kategoria katika Baler
Duka la Vipuri vya MagariEneo la Kuosha GariKituo cha GesiMuuza PikipikiPikipiki kukarabatiUtengenezaji wa magariUkulimaWauzaji wa jumlaHuduma ya DobiMaduka ya nguoMtangazaji wa RedioSimu ya mkononi madukaDiniKanisa KatolikiKanisa la KikristoMakanisaOfisi ya SerikaliOfisi ya Serikali ya KaribuTaasisi ya DiniDuka la ElektronikiDuka la Matengenezo ya Simu za MkononiDuka la Bidhaa za NyumbaniDuka la Vifaa vya ujenziDuka la vipuri vya chumaMajengo ya MakaziUjenzi wa majengoChuoElimuShule ya Kuteleza kwenye MawimbiShule ya MwanzoShule ya UpiliTaasisi ya ElimuHuduma ya Upigaji PichaKivutio cha WataliMpiga pichaStudio ya PichaBaaBaa, baa na MikahawaBaa na Chumba cha Vyakula VilivyobanikwaBurger migahawaDuka la BarafuKahawa migahawaKichina migahawaKijapani migahawaKufunga chakula migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMikahawaMkahawa unaouza KukuMkahawa wa chaiMkahawa wa KiasiaMkahawa wa KifilipinoUokaji mikateVitalu vya na vifaa bustaniAsubuhi yaBenkiHuduma ya Hawilisho ya PesaKampuni ya Huduma za SheriaTaasisi ya KifedhaKliniki ya MenoDuka la ChaleSaluni ya NyweleUtunzaji wa mikono na kucha na miguuVinyoziZa saluniDuka la UchapishajiHuduma ya Biashara kwa BiasharaKituo cha BiasharaGhorofa yenye VyumbaJengo la FletiJengo la MakaziUkodishaji wa Ghorofa za LikizoDuka la ChaiDuka la dawaDuka la DawaDuka la HedayaDuka la JumlaDuka la RiwayaDuka la ZawadiKituo cha UnunuziKompyuta madukaManunuziSokoUrahisi madukaDuka la Bao za Kuteleza Katika MawimbiUkumbi wa michezo ya mazoezi ya viungoUmma mbugaUwanja wa kupigia kambiBohariChama cha MakaziChumba cha Kupanga kwa MudaHosteliHoteli na motelsHoteli ya UfuoniHotelsHuduma za UsafiriKitanda na kifungua kinywaMatembeziNyumba ya Kupanga na ChakulaNyumba ya wageniNyumba ya WageniVilaVyumba vya kulalaWakala wa Usafiri
Viwanda
Mgawanyo wa biashara kwa sekta katika Baler
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Nyingine malazi | 164 |
| Mikahawa | 158 |
| Hoteli na motels | 89 |
| Usimamizi wa umma | 89 |
| Manunuzi | 81 |
| Elimu | 42 |
| Kahawa migahawa | 34 |
Ukweli wa Baler
| Area | 97.0 km² |
| Idadi ya Watu | 40,138 |
| Idadi ya Wanaume | 20,418 (50.9%) |
| Idadi ya Wanawake | 19,720 (49.1%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +397.2% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +42.9% |
| Umri Wastani | Miaka 21.9 (Mwanamume: 21.7, Mwanamke: 22.2) |
| Mitaa | Poblacion, Sabang, Suclayin, Sauyo, Zabali |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 15.75890, 121.56070 |
| Posta | 3200 |
Ramani ya Baler
Ramani inayoingiliana
Idadi ya watu ya Baler
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 8,072 | 19,746 | 28,087 | 37,290 | 40,138 |
| Uzani wa Idadi ya Watu | 83.2 / km² | 203.6 / km² | 289.6 / km² | 384.4 / km² | 413.8 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Baler kutoka 2000 hadi 2015
Ongezeko la 32.8% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Baler | +362% | +88.8% | +32.8% |
| 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 Baler
Umri wa wastani: miaka 21.9
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Baler | 21.9 yrs | 22.2 yrs | 21.7 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Baler
Msongamano wa watu: 414 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Baler | 40,138 | 97 km² | 414 / 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 Baler
Idadi ya watu inayokadiriwa kutoka 1880 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.
Mitaa ya Baler
Asilimia ya biashara kwa mtaa katika Baler
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Baler
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Baler
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 Baler
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 |
|---|---|---|---|
| Baler | 43,912 tn | 1.09 tn | 452.7 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 Baler
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 43,912 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.09 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 452.7 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Low (2) |
| Flood | High (10) |
| Earthquake | High (7.7) |
| Cyclone | High (10) |
| Landslide | High (8) |
* 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 |
|---|---|---|---|---|---|---|
| 3/5/19 | 2:27 PM | 4.5 | 57.5 km | 39,710 m | 42km SSE of Dinalongan, Philippines | usgs.gov |
| 4/9/15 | 1:00 PM | 4.6 | 54.8 km | 35,060 m | 2km NNE of Porais, Philippines | usgs.gov |
| 9/3/14 | 1:37 PM | 4.1 | 17.7 km | 42,660 m | 9km WSW of Maria Aurora, Philippines | usgs.gov |
| 9/7/13 | 4:30 AM | 4.4 | 43.9 km | 45,320 m | 27km E of Dingalan, Philippines | usgs.gov |
| 4/23/13 | 3:43 PM | 4.5 | 40.9 km | 42,800 m | 26km S of Dinalongan, Philippines | usgs.gov |
| 4/4/13 | 2:27 AM | 5.1 | 18.3 km | 47,400 m | 18km NE of Baler, Philippines | usgs.gov |
| 10/21/12 | 3:33 PM | 4 | 31.5 km | 10,000 m | Luzon, Philippines | usgs.gov |
| 6/17/10 | 9:54 AM | 4.6 | 50.2 km | 44,000 m | Luzon, Philippines | usgs.gov |
| 2/1/10 | 9:20 PM | 4.4 | 59.7 km | 35,000 m | Luzon, Philippines | usgs.gov |
| 6/29/09 | 1:11 PM | 4.5 | 26.6 km | 38,800 m | Luzon, 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.