Kategoria katika Blitar
Duka la Betri za MagariDuka la bidhaa za utunzaji wa magariDuka la BrekiDuka la GurudumuDuka la kutengeneza matairiDuka la MagurudumuDuka la Magurudumu YaliyotumikaDuka la PikipikiDuka la Sehemu za PikipikiDuka la Shokomzoba ya GariDuka la Stereo ya MagariDuka la Urekebishaji Motokaa ya UmemeDuka la Vifaa vya LoriDuka la Vifaa vya MagariDuka la Vipuri vya MagariEneo la Kuosha GariGereji ya Pikipiki Ndogo (Scooter)Huduma ya Kina ya GariHuduma ya Kiyoyozi cha GariHuduma ya kubandika ganda la vinyl kwa gariHuduma ya Kunyosha MagariHuduma ya Kutia Rangi Vioo vya MagariHuduma ya Mfungamano GurudumuHuduma ya Umeme wa MagariHuduma ya Urekebishaji MagariHuduma ya Urekebishaji Rejeta ya GariHuduma ya Urekebishaji SkutaHuduma ya Utengenezaji Injini NdogoHuduma za Kubadilisha OiliHuduma za Kukarabati Injini ya DizeliHuduma za Kunakshi MagariHuduma za Kurekebisha RejetaHuduma za Kutengeneza Injini UpyaKarakana ya Kurekebisha TelaKituo cha GesiKituo cha Kuegesha MaloriKituo cha kuuza mafutaKituo Mbadala cha MafutaKuosha baisikeliKutumika gari wafanyabiasharaMakanikaMalori na MatrelaMarekebisho na Matengenezo ya MagariMchuuzi wa pikipiki za umemeMpamba Viti vya MagariMuuzaji magari ya DaihatsuMuuzaji wa Injini za DizeliMuuzaji wa Jumla wa Vifaa vya MagariMuuzaji wa vipuri vya maloriMuuza Magari ya Honda
Inaonyesha 1-50 kati ya 1280
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Viwanda
Mgawanyo wa biashara kwa sekta katika Blitar
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Manunuzi | 13,181 | 14 year |
| Mikahawa | 7,136 | — |
| Kahawa migahawa | 5,604 | — |
| Elimu | 4,177 | 37 year |
| Dini | 4,061 | — |
| Maduka ya vyakula na makubwa | 3,098 | — |
| Misikiti | 2,910 | — |
| Maduka ya nguo | 2,791 | — |
| Udhibiti wa shirika | 1,962 | — |
| Kaskazini migahawa | 1,906 | — |
| Za saluni | 1,776 | — |
| Duka za vifaa vya elektroniki | 1,721 | 14 year |
| Utengenezaji wa magari | 1,621 | — |
Ukweli wa Blitar
| Area | 551.4 km² |
| Idadi ya Watu | 844,124 |
| Idadi ya Wanaume | 421,708 (50.0%) |
| Idadi ya Wanawake | 422,416 (50.0%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +30.9% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +5.3% |
| Umri Wastani | Miaka 32.4 (Mwanamume: 31.7, Mwanamke: 33.1) |
| Simu Kiambishi | 34, 342 |
| Mitaa | Kepanjen Kidul, Kepanjenkidul, Pakunden, Sukorejo, Beru, Wlingi, Kesamben, Kademangan |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Magharibi mwa Indonesia |
| Latitudo na Longitudo | -8.09830, 112.16810 |
| Posta | 66111, 66112, 66113, 66114, 66115, More |
Ramani ya Blitar
Ramani inayoingiliana
Idadi ya watu ya Blitar
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 644,731 | 808,977 | 801,595 | 806,882 | 844,124 |
| Uzani wa Idadi ya Watu | 1,169.3 / km² | 1,467.2 / km² | 1,453.8 / km² | 1,463.4 / km² | 1,530.9 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Blitar kutoka 2000 hadi 2015
Ongezeko la 0.7% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Blitar | +25.2% | -0.3% | +0.7% |
| Jawa Timur | +400.7% | +208.6% | +34.2% |
| Indonesia | +96.9% | +41.9% | +21.7% |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Blitar
Umri wa wastani: miaka 32.4
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Blitar | 32.4 yrs | 33.1 yrs | 31.7 yrs |
| Jawa Timur | 31.9 yrs | 32.6 yrs | 31.2 yrs |
| Indonesia | 27.2 yrs | 27.5 yrs | 26.9 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Blitar
Msongamano wa watu: 1,531 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Blitar | 844,124 | 551.4 km² | 1,531 / km² |
| Jawa Timur | 8,036 | 32.3 km² | 249 / km² |
| Indonesia | 252.8 million | 1,893,657.8 km² | 134 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Blitar
Idadi ya watu inayokadiriwa kutoka 600 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 Blitar
Asilimia ya biashara kwa mtaa katika Blitar
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Blitar
Posta
Asilimia ya biashara kwa Misimbo ya Posta katika Blitar
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Blitar
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 Blitar
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 |
|---|---|---|---|
| Blitar | 1,767,536 tn | 2.09 tn | 3,205.7 tons/km² |
| Jawa Timur | 10,993 tn | 1.37 tn | 340.4 tons/km² |
| Indonesia | 478,610,416 tn | 1.89 tn | 252.7 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 Blitar
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 1,767,536 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 2.09 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 3,205.7 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Wastani (5) |
| Mafuriko | Juu (10) |
| Mtetemeko wa ardhi | Wastani (6) |
| Udhibiti wa ardhi | Wastani (7) |
| Volcano | Juu (9) |
* 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 Volcano Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BR8Q45.
- 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 |
|---|---|---|---|---|---|---|
| 6/27/18 | 3:48 AM | 4.1 | 60.4 km | 86,370 m | 34km S of Sumbersih, Indonesia | usgs.gov |
| 6/4/18 | 5:42 AM | 4.3 | 52.9 km | 108,120 m | 22km SSW of Jengglungharjo, Indonesia | usgs.gov |
| 3/15/18 | 8:25 PM | 4.4 | 62.5 km | 131,700 m | 14km E of Krajan Ngrambingan, Indonesia | usgs.gov |
| 4/8/17 | 8:17 AM | 3.9 | 50 km | 61,710 m | 0km ESE of Bureng, Indonesia | usgs.gov |
| 12/10/16 | 5:28 AM | 4.2 | 54.3 km | 43,300 m | 21km SW of Krajan, Indonesia | usgs.gov |
| 10/16/16 | 5:45 PM | 4.4 | 68.1 km | 166,430 m | 9km NE of Jombang, Indonesia | usgs.gov |
| 9/23/16 | 11:33 PM | 4.2 | 37.7 km | 150,370 m | 5km WSW of Tiang, Indonesia | usgs.gov |
| 8/2/16 | 11:15 AM | 4.1 | 52.1 km | 123,090 m | 9km SSW of Trenggalek, Indonesia | usgs.gov |
| 3/2/16 | 6:09 AM | 5.1 | 70.4 km | 78,320 m | 30km SSW of Krajan Sidodadi, Indonesia | usgs.gov |
| 9/10/15 | 4:19 PM | 4.8 | 67.8 km | 66,210 m | 31km SSW of Gombangan, Indonesia | 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.