Kategoria katika Espalion
Marekebisho na Matengenezo ya MagariMwili kutengenezaUtengenezaji wa magariMaduka ya nguoWananchi wa nguoWanawake mavaziChama au ShirikaDuka la Bidhaa za NyumbaniHuduma ya Ufungaji wa UmemeMabomba ya ufungaji na kukarabatiMakontrakta wa kupauaMkandarasi wa UashiUchoraji na rangi ya makandarasiWasanifu wa majengoKuendesha shule zaKivutio cha WataliMpiga pichaBaa, baa na MikahawaKifaransa migahawaKufunga chakula migahawaMaduka ya vyakula na makubwaMchinjajiMchukuzi wa chakulaMikahawaMkahawa wa chaiPizzaUokaji mikateMsanii wa mandhariSamani madukaAjenti za Bima ya MpangajiAsubuhi yaAuto bimaBenkiBenki ya AkibaBimaBima ya maishaBima ya matibabuKampuni HodhiMhasibuNotaryNyumbani bimaWakala wa BimaWakala wa Bima ya PikipikiDawa MbadalaHospitaliMadaktari wa menoMatibabu (ya magonjwa) kwa kuchezesha mifupaTaasisi ya WauguzajiSaluni ya NyweleUtunzaji wa mikono na kucha na miguu
Inaonyesha 1-50 kati ya 66
Viwanda
Mgawanyo wa biashara kwa sekta katika Espalion
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Manunuzi | 34 | 20 year |
| Mikahawa | 32 | 21 year |
| Utengenezaji wa magari | 23 | 33 year |
| Nyingine malazi | 21 | — |
| Majengo | 18 | 26 year |
| Vyakula vyote na Vinywaji | 18 | 20 year |
| Maduka ya vyakula na makubwa | 18 | — |
| Wauguzi | 17 | — |
| Wasusi | 16 | — |
| Benki | 13 | — |
| Huduma za kifedha | 13 | — |
| Dawa Mbadala | 12 | — |
| Afya na matibabu | 12 | — |
Ukweli wa Espalion
| Area | 36.6 km² |
| Idadi ya Watu | 4,118 |
| Idadi ya Wanaume | 1,923 (46.7%) |
| Idadi ya Wanawake | 2,195 (53.3%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | -7.7% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -8.4% |
| Umri Wastani | Miaka 51.5 (Mwanamume: 48.3, Mwanamke: 54.1) |
| Pato la Taifa kwa kila mtu (PPP) | $34,455 (2022) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Majira ya joto za Ulaya ya Kati |
| Latitudo na Longitudo | 44.52237, 2.76265 |
Ramani ya Espalion
Ramani inayoingiliana
Idadi ya watu ya Espalion
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 4,462 | 4,529 | 4,494 | 4,409 | 4,118 | 3,927 | 3,720 |
| Uzani wa Idadi ya Watu | 121.8 / km² | 123.7 / km² | 122.7 / km² | 120.4 / km² | 112.4 / km² | 107.2 / km² | 101.6 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Espalion kutoka 2000 hadi 2020
Kupungua kwa 8.4% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Espalion | -7.7% | -9.1% | -8.4% |
| Ufaransa | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Espalion
Umri wa wastani: miaka 51.5
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Espalion | 51.5 yrs | 54.1 yrs | 48.3 yrs |
| Ufaransa | 39.6 yrs | 41 yrs | 38.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Espalion
Msongamano wa watu: 112 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Espalion | 4,118 | 36.6 km² | 112 / km² |
| Ufaransa | 65.9 million | 638,022.5 km² | 103 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Espalion
Idadi ya watu inayokadiriwa kutoka 0 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 Espalion
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Espalion
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
Pato la Taifa (GDP) la Espalion
Pato la Taifa kwa kila mtu, PPP ($ za kimataifa za 2017)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| Pato la Taifa kwa kila mtu | $25,372 | $26,381 | $29,795 | $32,923 | $30,823 | $32,163 | $31,806 | $34,455 |
| Jumla ya Pato la Taifa | $49.7M | $51.2M | $57.6M | $64.5M | $61.5M | $63.6M | $61.7M | $66M |
Chanzo: [Kiunga] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
Utoaji wa CO2 wa Espalion
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 |
|---|---|---|---|
| Espalion | 30,764 tn | 7.47 tn | 840 tons/km² |
| Ufaransa | 485,797,691 tn | 7.38 tn | 761.4 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 Espalion
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 30,764 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 7.47 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 840 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mafuriko | Wastani (7) |
| Mtetemeko wa ardhi | Chini (2) |
* 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. 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 |
|---|---|---|---|---|---|---|
| 11/4/08 | 8:56 PM | 3 | 44.4 km | 3,000 m | France | usgs.gov |
| 12/13/05 | 3:37 PM | 3.1 | 45 km | 5,000 m | France | usgs.gov |
| 10/31/05 | 10:14 AM | 3.2 | 46.2 km | 2,000 m | France | usgs.gov |
| 7/7/05 | 8:19 AM | 3 | 28.7 km | 5,000 m | France | usgs.gov |
| 5/19/02 | 12:48 AM | 3 | 11.5 km | 4,000 m | France | usgs.gov |
| 2/18/02 | 6:11 AM | 3.7 | 48 km | 6,000 m | France | usgs.gov |
| 9/30/99 | 3:24 AM | 3.1 | 77.7 km | 7,000 m | France | usgs.gov |
| 5/15/99 | 4:08 AM | 3 | 95.3 km | 8,000 m | near the south coast of France | usgs.gov |
| 2/20/99 | 7:41 PM | 3 | 73.2 km | 2,000 m | France | usgs.gov |
| 8/29/98 | 12:42 AM | 3 | 43.4 km | 5,000 m | France | 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.