Kategoria katika Headland
Kituo cha kuuza mafutaKutumika gari wafanyabiasharaMalori na MatrelaMwili kutengenezaUtengenezaji wa magariVipuri vya MagariMatrekta na Vifaa vya mashambaUuzaji kijumla wa mashineMaduka ya nguoDiniMakanisaDuka za vifaa vya elektronikiDuka la vipuri vya chumaMakontakta kwa ujumlaUfungaji umemeUjenzi mwingineUjenzi wa majengoUjenzi wa nyumbaElimuUbunifu wa kipekeeMaduka ya vyakula na makubwaMikahawaVyakula vyote na VinywajiKaya vifaa na bidhaaRekebisha nyingineSamani madukaSanaa ya mazingiraAsubuhi yaBenkiMashirika au makampuni yanayotoa mikopoUchumi mwingineWasusiZa saluniMaduka ya idaraManunuziManunuzi mengineyoUrahisi madukaWanaoshughulikia MauaZawadi, kadi na vifaa vya chamaHaifikiwi
Viwanda
Mgawanyo wa biashara kwa sekta katika Headland
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara | Wastani wa Google rating |
|---|---|---|---|
| Manunuzi | 82 | 27 year | 4.3 |
| Makanisa | 23 | 49 year | 4.6 |
| Dini | 22 | 51 year | 4.6 |
| Maduka ya vyakula na makubwa | 19 | 35 year | 4.4 |
| Utengenezaji wa magari | 18 | 35 year | 4.5 |
| Manunuzi mengineyo | 18 | 37 year | 4.4 |
| Matrekta na Vifaa vya mashamba | 17 | 38 year | 4.3 |
| Mikahawa | 15 | 24 year | 3.9 |
| Ujenzi wa majengo | 14 | 33 year | 4.6 |
| Vyakula vyote na Vinywaji | 14 | 31 year | 4.1 |
| Makontakta kwa ujumla | 13 | 27 year | 3.7 |
| Usimamizi wa umma | 12 | 26 year | 4.3 |
| Elimu | 11 | 38 year | 3.4 |
| Benki | 10 | — | 4.1 |
| Kituo cha kuuza mafuta | 9 | — | 4.6 |
| Urahisi maduka | 9 | — | 4.4 |
| Za saluni | 8 | 35 year | 4.3 |
| Duka la vipuri vya chuma | 8 | 38 year | 4 |
| Mashirika au makampuni yanayotoa mikopo | 8 | 60 year | 2 |
| Vipuri vya Magari | 7 | 24 year | 4.5 |
| Sanaa ya mazingira | 7 | 32 year | 4.5 |
| Zawadi, kadi na vifaa vya chama | 7 | 26 year | 4.3 |
| Huduma za jamii | 7 | — | 4.3 |
| Asubuhi ya | 7 | — | 5 |
| Majengo | 7 | 39 year | 3.5 |
Inaonyesha 1-25 kati ya 32
Ukweli wa Headland
| Area | 30.5 mi² |
| Idadi ya Watu | 4,831 |
| Idadi ya Wanaume | 2,205 (45.6%) |
| Idadi ya Wanawake | 2,626 (54.4%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +55.1% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +12.1% |
| Umri Wastani | Miaka 38.2 (Mwanamume: 36.9, Mwanamke: 39.4) |
| Simu Kiambishi | 334 |
| Mitaa | Headland |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Kati |
| Latitudo na Longitudo | 31.35128, -85.34216 |
| Posta | 36345 |
Ramani ya Headland
Ramani inayoingiliana
Idadi ya watu ya Headland
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 3,114 | 3,728 | 4,311 | 4,644 | 4,831 |
| Uzani wa Idadi ya Watu | 102 / mi² | 122.1 / mi² | 141.2 / mi² | 152.1 / mi² | 158.3 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Headland kutoka 2000 hadi 2015
Ongezeko la 7.7% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Headland | +49.1% | +24.6% | +7.7% |
| Alabama | +36.3% | +21% | +10.2% |
| 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 Headland
Umri wa wastani: miaka 38.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Headland | 38.2 yrs | 39.4 yrs | 36.9 yrs |
| Alabama | 38 yrs | 39.3 yrs | 36.6 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Headland
Msongamano wa watu: 158 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Headland | 4,831 | 30.53 sq mi | 158 / mi² |
| Alabama | 4.9 million | 52,420.1 sq mi | 93.9 / 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 Headland
Idadi ya watu inayokadiriwa kutoka 1820 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 Headland
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 Headland
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 |
|---|---|---|---|
| Headland | 87,821 tn | 18.18 tn | 2,876.9 tons/mi² |
| Alabama | 88,924,479 tn | 18.06 tn | 1,696.4 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 Headland
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 87,821 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 18.18 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 2,876.9 tons/mi² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Flood | Medium (4) |
| Cyclone | Medium (5) |
* 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, International Bank for Reconstruction and Development - The World Bank, and United Nations Environment Programme Global Resource Information Database Geneva - UNEP/GRID-Geneva. 2005. Global Cyclone Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CZ353K.
- 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.