Kategoria katika Cisco
Duka la MagurudumuHuduma za Kukarabati Injini ya DizeliKarakana ya Kurekebisha MaloriKarakana ya Kurekebisha TelaKituo cha GesiKituo cha Kuegesha MaloriKutumika gari wafanyabiasharaMakanikaMarekebisho na Matengenezo ya MagariUtengenezaji wa magariMtia wekoDuka la nguo na uremboKanisa la KibaptistiMakanisaShirika Lisilo la FaidaHuduma ya Kutengeneza KompyutaMabomba ya ufungaji na kukarabatiMakontakta kwa ujumlaMkandarasiMkandarasi wa UashiMkandarasi wa Ujenzi wa MajengoMkandarasi wa Ujenzi wa NdaniUjenzi wa majengoUjenzi wa Nyumba za KuishiElimuMpiga pichaMtoa BurudaniKifungua kinywa na brunchKufunga chakula migahawaMaduka ya vyakula na makubwaMexico migahawaMikahawaUokaji mikateVitu vya kaleAsubuhi yaBenkiHuduma ya Hawilisho ya PesaHuduma za KisheriaWakala wa BimaMakaburiniTabibu maungoUtabibuSaluni ya NyweleZa saluniHuduma kwa ViwandaKampuni ya Ushauri wa UsimamiziRv Hifadhi yaWakala wa Mali isiyohamishikaDuka la ZawadiManunuziRanchiUrahisi madukaYa jumla ya kuhifadhiUmma mbugaHoteli na motelsKampuni ya MaloriMizigo ya usambazajiHaifikiwi
Viwanda
Mgawanyo wa biashara kwa sekta katika Cisco
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara | Wastani wa Google rating |
|---|---|---|---|
| Manunuzi | 57 | 40 year | 4.1 |
| Dini | 21 | 54 year | 4.6 |
| Makanisa | 20 | 54 year | 4.6 |
| Mikahawa | 19 | 37 year | 4.2 |
| Kituo cha kuuza mafuta | 13 | 41 year | 4.2 |
| Elimu | 13 | 53 year | 3.1 |
| Utengenezaji wa magari | 12 | 37 year | 4.2 |
| Makontakta kwa ujumla | 10 | 22 year | 4 |
| Maduka ya vyakula na makubwa | 10 | 38 year | 4.2 |
| Huduma za kifedha | 10 | 46 year | 4.7 |
| Afya na matibabu | 10 | 21 year | 4.3 |
| Vipuri vya Magari | 9 | 46 year | 4.3 |
| Urahisi maduka | 8 | 30 year | 4.1 |
| Benki | 7 | — | 4.2 |
| Manunuzi mengineyo | 7 | 52 year | 4.3 |
| Wauzaji wa magari mapya | 7 | 36 year | 5 |
| Majengo | 7 | 32 year | — |
| Huduma za sayansi na kiufundi | 6 | 35 year | — |
| Usimamizi wa umma | 6 | — | 4.7 |
| Za saluni | 6 | 20 year | 4.9 |
| Nyingine malazi | 6 | 19 year | 3.8 |
| Zawadi, kadi na vifaa vya chama | 5 | 53 year | — |
| Asubuhi ya | 5 | — | 5 |
| Vyakula vyote na Vinywaji | 5 | — | 4.4 |
| Uuzaji kijumla wa mashine | 5 | 44 year | — |
Inaonyesha 1-25 kati ya 26
Ukweli wa Cisco
| Area | 4.8 mi² |
| Idadi ya Watu | 3,925 |
| Idadi ya Wanaume | 1,920 (48.9%) |
| Idadi ya Wanawake | 2,005 (51.1%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +217.0% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +1.9% |
| Umri Wastani | Miaka 34 (Mwanamume: 29.6, Mwanamke: 38.4) |
| Simu Kiambishi | 254, 325 |
| Mitaa | Cisco, Old East Dallas, Cinco Ranch Equestrian Village |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Kati |
| Latitudo na Longitudo | 32.38819, -98.97923 |
| Posta | 76437 |
Ramani ya Cisco
Ramani inayoingiliana
Idadi ya watu ya Cisco
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 1,238 | 2,489 | 3,851 | 3,884 | 3,925 |
| Uzani wa Idadi ya Watu | 257.8 / mi² | 518.3 / mi² | 801.9 / mi² | 808.8 / mi² | 817.3 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Cisco kutoka 2000 hadi 2015
Ongezeko la 0.9% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Cisco | +213.7% | +56% | +0.9% |
| Texas | +111% | +60.8% | +31.3% |
| Marekani | +46.9% | +27.2% | +13.7% |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Cisco
Umri wa wastani: miaka 34
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Cisco | 34 yrs | 38.4 yrs | 29.6 yrs |
| Texas | 33.8 yrs | 34.8 yrs | 32.8 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Cisco
Msongamano wa watu: 817 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Cisco | 3,925 | 4.802 sq mi | 817 / mi² |
| Texas | 27.5 million | 268,596.2 sq mi | 103 / mi² |
| Marekani | 321.6 million | 3,796,740.8 sq mi | 84.7 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Cisco
Idadi ya watu inayokadiriwa kutoka 1860 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 Cisco
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Cisco
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 Cisco
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 |
|---|---|---|---|
| Cisco | 77,473 tn | 19.74 tn | 16,133.1 tons/mi² |
| Texas | 488,896,034 tn | 17.76 tn | 1,820.2 tons/mi² |
| Marekani | 5,664,619,810 tn | 17.62 tn | 1,492 tons/mi² |
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 Cisco
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 77,473 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 19.74 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 16,133.1 tons/mi² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Low (2) |
| Flood | 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 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.
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.