Kategoria katika Mims
Viwanda
Mgawanyo wa biashara kwa sekta katika Mims
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Ujenzi wa majengo | 52 | 25 year |
| Sanaa ya mazingira | 37 | 16 year |
| Dini | 27 | 48 year |
| Majengo | 23 | 23 year |
| Kituo cha kuuza mafuta | 23 | 11 year |
| Manunuzi mengineyo | 22 | 21 year |
| Ujenzi mwingine | 21 | 27 year |
| Utengenezaji wa magari | 20 | 20 year |
| Udhibiti wa shirika | 19 | 24 year |
| Manunuzi | 18 | 28 year |
| Asubuhi ya | 17 | — |
| Mikahawa | 17 | 26 year |
| Makontakta kwa ujumla | 17 | 24 year |
| Urahisi maduka | 16 | 28 year |
| Maduka ya dawa na maduka ya madawa ya kulevya | 14 | — |
| Sehemu za nje za kulala | 12 | 48 year |
| Rekebisha nyingine | 12 | — |
Ukweli wa Mims
| Area | 22.4 mi² |
| Idadi ya Watu | 7,721 |
| Idadi ya Wanaume | 3,822 (49.5%) |
| Idadi ya Wanawake | 3,899 (50.5%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +135.3% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +24.4% |
| Umri Wastani | Miaka 47.6 (Mwanamume: 47.4, Mwanamke: 47.8) |
| Simu Kiambishi | 321, 407 |
| Mitaa | Indian River Park, China Ward Of Mims, Lake Harney Woods, Puryear Ward, Indian River Plantation Estates |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Mashariki |
| Latitudo na Longitudo | 28.66527, -80.84478 |
| Posta | 32754 |
Ramani ya Mims
Ramani inayoingiliana
Idadi ya watu ya Mims
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 3,282 | 4,963 | 6,206 | 7,447 | 7,721 |
| Uzani wa Idadi ya Watu | 146.7 / mi² | 221.9 / mi² | 277.4 / mi² | 332.9 / mi² | 345.2 / mi² |
Mabadiliko ya idadi ya watu ya Mims kutoka 2000 hadi 2015
Ongezeko la 20% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Mims | +126.9% | +50.1% | +20% |
| Florida | +95.6% | +51.7% | +26.2% |
| Marekani | +46.9% | +27.2% | +13.7% |
Umri wa wastani wa Mims
Umri wa wastani: miaka 47.6
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Mims | 47.6 yrs | 47.8 yrs | 47.4 yrs |
| Florida | 41.8 yrs | 43.2 yrs | 40.4 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Msongamano wa watu wa Mims
Msongamano wa watu: 345 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Mims | 7,721 | 22.37 sq mi | 345 / mi² |
| Florida | 20.3 million | 65,757.1 sq mi | 308 / mi² |
| Marekani | 321.6 million | 3,796,740.8 sq mi | 84.7 / mi² |
Idadi ya watu ya kihistoria na inayokadiriwa ya Mims
Idadi ya watu inayokadiriwa kutoka 1880 hadi 2100
- 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.
Mitaa ya Mims
Asilimia ya biashara kwa mtaa katika Mims
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Mims
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Mims
Kielelezo cha Maendeleo ya Binadamu (HDI)
Faharisi ya takwimu ya kitisho cha kuishi, elimu, na mapato ya kila mtu.
Utoaji wa CO2 wa Mims
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 |
|---|---|---|---|
| Mims | 137,383 tn | 17.79 tn | 6,141.5 tons/mi² |
| Florida | 302,482,610 tn | 14.93 tn | 4,600 tons/mi² |
| Marekani | 5,664,619,810 tn | 17.62 tn | 1,492 tons/mi² |
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 137,383 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 17.79 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 6,141.5 tons/mi² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mafuriko | Wastani (4) |
| Kimbunga | Juu (8) |
* Hatari, haswa juu ya mafuriko au maporomoko ya ardhi, inaweza kuwa sio kwa eneo lote.
- 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.

