Kategoria katika Barr
Marekebisho na Matengenezo ya MagariUtengenezaji wa magariMtoaji Vifaa vya KiwandaSanaa iliyoundwa kwa mkonoMaduka ya nguoWanawake mavaziBarazaChama au ShirikaHuduma ya UtumajiHuduma za Kusafirisha na Kutuma ujumbePostaFundi umemeHuduma ya Ufungaji wa UmemeMabomba ya ufungaji na kukarabatiMkandarasi wa KihamiMkandarasi wa UashiUjenzi wa majengoKivutio cha WataliMpiga pichaMsanifu WavutiMsaniiSehemu ya MandhariBaa, baa na MikahawaKifaransa migahawaKiitaliano migahawaKufunga chakula migahawaMaduka ya vyakula na makubwaMchukuzi wa chakulaMikahawaMkahawa wa chaiPizzaUokaji mikateAsubuhi yaAuto bimaBenkiBima ya matibabuKampuni HodhiNyumbani bimaWakala wa BimaWakala wa Bima ya PikipikiDaktari wa kisaikolojiaDaktari wa macho na eyewearDaktari wa Tiba ya KiasiliDawa MbadalaHotuba TherapistsHuduma za Matibabu ya HiponoziMadaktari wa menoMatibabu (ya magonjwa) kwa kuchezesha mifupaMkuu wa watendajiMwanasaikolojia
Inaonyesha 1-50 kati ya 80
Viwanda
Mgawanyo wa biashara kwa sekta katika Barr
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Udhibiti wa shirika | 36 | 29 year |
| Manunuzi | 34 | 42 year |
| Mikahawa | 33 | 20 year |
| Afya na matibabu | 27 | — |
| Nyingine malazi | 27 | — |
| Vyakula vyote na Vinywaji | 18 | 17 year |
| Maduka ya vyakula na makubwa | 16 | — |
| Madaktari wa meno | 16 | — |
| Dawa Mbadala | 16 | — |
| Manunuzi mengineyo | 16 | — |
| Majengo | 15 | 25 year |
| Wauguzi | 15 | — |
| Ujenzi wa majengo | 14 | 27 year |
| Usimamizi wa umma | 14 | — |
| Ujenzi mwingine | 14 | — |
| Benki | 13 | — |
Ukweli wa Barr
| Area | 21.0 km² |
| Idadi ya Watu | 6,951 |
| Idadi ya Wanaume | 3,356 (48.3%) |
| Idadi ya Wanawake | 3,595 (51.7%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +63.2% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +16.3% |
| Umri Wastani | Miaka 38.5 (Mwanamume: 37.3, Mwanamke: 39.6) |
| Pato la Taifa kwa kila mtu (PPP) | $45,186 (2022) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Majira ya joto za Ulaya ya Kati |
| Latitudo na Longitudo | 48.40755, 7.44873 |
| Posta | 67141 CEDEX, 67142 CEDEX, 67143 CEDEX, 67144 CEDEX, 67145 CEDEX, More |
Ramani ya Barr
Ramani inayoingiliana
Idadi ya watu ya Barr
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 4,260 | 5,281 | 5,978 | 7,169 | 6,951 | 7,048 | 7,056 |
| Uzani wa Idadi ya Watu | 202.9 / km² | 251.5 / km² | 284.7 / km² | 341.4 / km² | 331 / km² | 335.6 / km² | 336 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Barr kutoka 2000 hadi 2020
Ongezeko la 16.3% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Barr | +63.2% | +31.6% | +16.3% |
| Ufaransa | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Barr
Umri wa wastani: miaka 38.5
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Barr | 38.5 yrs | 39.6 yrs | 37.3 yrs |
| Ufaransa | 39.6 yrs | 41 yrs | 38.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Barr
Msongamano wa watu: 331 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Barr | 6,951 | 21 km² | 331 / 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 Barr
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 Barr
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Barr
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 Barr
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 | $35,290 | $36,693 | $41,443 | $41,244 | $42,293 | $42,817 | $41,713 | $45,186 |
| Jumla ya Pato la Taifa | $222.9M | $238.8M | $279.2M | $291.2M | $312.5M | $323.8M | $319.2M | $345.4M |
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 Barr
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 |
|---|---|---|---|
| Barr | 56,999 tn | 8.2 tn | 2,714.2 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 Barr
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 56,999 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 8.2 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 2,714.2 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mafuriko | Wastani (7) |
| Mtetemeko wa ardhi | Wastani (3.3) |
* 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 |
|---|---|---|---|---|---|---|
| 5/4/18 | 9:36 PM | 3.1 | 72.1 km | 15,230 m | 2km W of Schliengen, Germany | usgs.gov |
| 5/5/09 | 1:39 AM | 3.6 | 84.6 km | 10,000 m | Switzerland | usgs.gov |
| 8/19/07 | 7:32 AM | 3.9 | 59.9 km | 11,300 m | France | usgs.gov |
| 8/17/07 | 5:43 AM | 3.5 | 58 km | 10,000 m | France | usgs.gov |
| 8/13/07 | 6:00 AM | 3 | 60.2 km | 10,000 m | France | usgs.gov |
| 8/7/07 | 6:46 AM | 3.1 | 58.8 km | 13,000 m | France | usgs.gov |
| 5/17/07 | 3:34 AM | 3.2 | 59.4 km | 10,000 m | France | usgs.gov |
| 4/8/07 | 7:30 PM | 3.1 | 58 km | 10,000 m | France | usgs.gov |
| 11/13/05 | 10:42 AM | 3 | 13.1 km | 9,000 m | France | usgs.gov |
| 11/3/05 | 1:11 PM | 3.2 | 14.5 km | 10,000 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.