Kategoria katika Junction
Duka la MagurudumuKituo cha GesiKituo cha Kuegesha MaloriMakanikaMarekebisho na Matengenezo ya MagariUtengenezaji wa magariMtengeneza sanamu za sura za wanyamaUkulimaDuka la nguo na uremboMakanisaOfisi ya Serikali ya KauntiShirika la Huduma za JamiiDuka la vipuri vya chumaFundi umemeMakontakta kwa ujumlaMkadarasi wa HVACMkandarasiMkandarasi wa Ujenzi wa NdaniUjenzi wa majengoUjenzi wa nyumbaUjenzi wa Nyumba za KuishiKivutio cha WataliMtoa BurudaniBaa, baa na MikahawaKufunga chakula migahawaMaduka ya vyakula na makubwaMexico migahawaMikahawaAsubuhi yaBenkiHuduma ya Hawilisho ya PesaHuduma ya Maandalizi ya KodiHuduma za KisheriaKampuni ya Huduma za SheriaMwanasheriaWakala wa BimaDaktari wa FamiliaMakaburiniSaluni ya NyweleHuduma kwa ViwandaKampuni ya Ushauri wa UsimamiziRv Hifadhi yaWakala wa Mali isiyohamishikaDuka la dawaManunuziRanchiUrahisi madukaWanaoshughulikia MauaYa jumla ya kuhifadhiEneo la KuwindiaUmma mbugaUwanja wa kupigia kambiHoteli na motelsHuduma ya Kuvuta GariMizigo ya usambazajiMoteliVyumba vya kulalaWakala wa UsafiriHaifikiwi
Viwanda
Mgawanyo wa biashara kwa sekta katika Junction
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara | Wastani wa Google rating |
|---|---|---|---|
| Manunuzi | 45 | 31 year | 4.2 |
| Kituo cha kuuza mafuta | 24 | 37 year | 4 |
| Mikahawa | 21 | 35 year | 3.9 |
| Maduka ya vyakula na makubwa | 18 | 28 year | 4.4 |
| Majengo | 18 | 33 year | 4.2 |
| Dini | 17 | 39 year | 4.7 |
| Makanisa | 17 | 39 year | 4.7 |
| Makontakta kwa ujumla | 17 | 32 year | 4.9 |
| Nyingine malazi | 17 | 34 year | 4.1 |
| Usimamizi wa umma | 16 | 35 year | 4.5 |
| Utengenezaji wa magari | 16 | 41 year | 4.2 |
| Hoteli na motels | 14 | 35 year | 4 |
| Urahisi maduka | 13 | 33 year | 4.2 |
| Ujenzi wa majengo | 12 | 31 year | 4.8 |
| Asubuhi ya | 11 | — | 1.9 |
| Vyakula vyote na Vinywaji | 9 | 38 year | 4.6 |
| Mashirika au makampuni yanayotoa mikopo | 9 | — | 1.9 |
| Afya na matibabu | 8 | — | 5 |
| Elimu | 8 | 39 year | 3.8 |
| Uanasheria | 8 | 40 year | 5 |
| Waganga na Wafanya upasuaji | 7 | — | 5 |
| Mashamba na mashamba makubwa ya ng'ombe | 7 | — | 3.3 |
| Kufunga chakula migahawa | 7 | 45 year | 3.5 |
| Benki | 7 | — | 3.5 |
| Sehemu za nje za kulala | 6 | — | 4.6 |
Inaonyesha 1-25 kati ya 35
Ukweli wa Junction
| Area | 2.4 mi² |
| Idadi ya Watu | 2,549 |
| Idadi ya Wanaume | 1,214 (47.6%) |
| Idadi ya Wanawake | 1,335 (52.4%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +187.7% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +3.7% |
| Umri Wastani | Miaka 39.8 (Mwanamume: 37.6, Mwanamke: 41.9) |
| Simu Kiambishi | 325, 830 |
| Mitaa | Junction, Springwoods |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Kati |
| Latitudo na Longitudo | 30.48936, -99.77201 |
| Posta | 76849 |
Ramani ya Junction
Ramani inayoingiliana
Idadi ya watu ya Junction
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 886 | 1,742 | 2,459 | 2,540 | 2,549 |
| Uzani wa Idadi ya Watu | 367.2 / mi² | 721.9 / mi² | 1,019 / mi² | 1,052.6 / mi² | 1,056.3 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Junction kutoka 2000 hadi 2015
Ongezeko la 3.3% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Junction | +186.7% | +45.8% | +3.3% |
| 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 Junction
Umri wa wastani: miaka 39.8
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Junction | 39.8 yrs | 41.9 yrs | 37.6 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 Junction
Msongamano wa watu: 1,056 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Junction | 2,549 | 2.413 sq mi | 1,056 / 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 Junction
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.
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Junction
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 Junction
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 |
|---|---|---|---|
| Junction | 57,312 tn | 22.48 tn | 23,749.9 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 Junction
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 57,312 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 22.48 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 23,749.9 tons/mi² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Low (2) |
| Flood | High (10) |
* 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.