Kategoria katika Miramar
Duka la Vipuri vya MagariEneo la Kuosha GariKituo cha GesiMakanikaMarekebisho na Matengenezo ya MagariUtengenezaji wa magariKazi za MetaliMsambazaji wa Vifaa vya UjenziWauzaji wa jumlaMaduka ya nguoSimu ya mkononi madukaDiniMakanisaOfisi ya SerikaliShirika la KidiniDuka la Bidhaa za NyumbaniDuka la RangiDuka la Vifaa vya ujenziDuka la vipuri vya chumaMajengo ya MakaziUjenzi wa majengoElimuShule ya MwanzoTaasisi ya ElimuBaa, baa na MikahawaBurger migahawaChakula utoaji hudumaDuka la Matunda na MbogaInternet cafesKufunga chakula migahawaMaduka ya vyakula na makubwaMchinjajiMexico migahawaMikahawaMkahawa unaouza KukuMkahawa wa IkariMkahawa wa TacoMkahawa wa torta wa KimeksikoUokaji mikateSamani madukaAsubuhi yaBenkiHuduma za KisheriaMwanasheriaMadaktari wa menoUtabibuSaluni ya NyweleVinyoziZa saluniHuduma ya Biashara kwa Biashara
Inaonyesha 1-50 kati ya 71
Viwanda
Mgawanyo wa biashara kwa sekta katika Miramar
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Manunuzi | 111 |
| Maduka ya vyakula na makubwa | 82 |
| Mikahawa | 60 |
| Elimu | 43 |
| Udhibiti wa shirika | 40 |
| Urahisi maduka | 39 |
| Duka la vipuri vya chuma | 29 |
| Utengenezaji wa magari | 26 |
| Ujenzi wa majengo | 21 |
| Kituo cha kuuza mafuta | 18 |
| Za saluni | 16 |
Ukweli wa Miramar
| Area | 31.1 km² |
| Idadi ya Watu | 112,469 |
| Idadi ya Wanaume | 55,524 (49.4%) |
| Idadi ya Wanawake | 56,945 (50.6%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +606.9% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +50.4% |
| Umri Wastani | Miaka 26.1 (Mwanamume: 25.6, Mwanamke: 26.5) |
| Pato la Taifa kwa kila mtu (PPP) | $17,987 (2022) |
| Mitaa | Américo Villarreal Guerra, Tampico Altamira, Miramar Sector 1, Monte Alto, Monte Alto Sipobladur |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Kati |
| Latitudo na Longitudo | 22.32085, -97.85950 |
| Posta | 89609, 89690 |
Ramani ya Miramar
Ramani inayoingiliana
Idadi ya watu ya Miramar
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 15,911 | 41,999 | 74,759 | 158,144 | 112,469 | 116,422 | 119,717 |
| Uzani wa Idadi ya Watu | 511.2 / km² | 1,349.4 / km² | 2,401.9 / km² | 5,080.9 / km² | 3,613.5 / km² | 3,740.5 / km² | 3,846.3 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Miramar kutoka 2000 hadi 2020
Ongezeko la 50.4% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Miramar | +606.9% | +167.8% | +50.4% |
| Tamaulipas | — | — | — |
| Mexiko | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Miramar
Umri wa wastani: miaka 26.1
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Miramar | 26.1 yrs | 26.5 yrs | 25.6 yrs |
| Tamaulipas | 27.2 yrs | 27.8 yrs | 26.5 yrs |
| Mexiko | 26.2 yrs | 27 yrs | 25.3 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Miramar
Msongamano wa watu: 3,614 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Miramar | 112,469 | 31.1 km² | 3,614 / km² |
| Tamaulipas | 3.6 million | 80,249.3 km² | 45.2 / km² |
| Mexiko | 126.8 million | 1,965,208 km² | 64.5 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Miramar
Idadi ya watu inayokadiriwa kutoka 1930 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.
Mitaa ya Miramar
Asilimia ya biashara kwa mtaa katika Miramar
Posta
Asilimia ya biashara kwa Misimbo ya Posta katika Miramar
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Miramar
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 Miramar
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 | $12,134 | $12,308 | $15,745 | $22,936 | $17,040 | $17,218 | $16,220 | $17,987 |
| Jumla ya Pato la Taifa | $520.3M | $561.3M | $808.7M | $1.4B | $1.3B | $1.6B | $1.5B | $1.7B |
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 Miramar
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 |
|---|---|---|---|
| Miramar | 482,671 tn | 4.29 tn | 15,507.5 tons/km² |
| Tamaulipas | 14,977,509 tn | 4.13 tn | 186.6 tons/km² |
| Mexiko | 496,865,013 tn | 3.92 tn | 252.8 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 Miramar
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 482,671 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 4.29 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 15,507.5 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Chini (2) |
| Mafuriko | Wastani (7) |
| Kimbunga | Juu (8) |
* 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, 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, 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.
Matetemeko ya Ardhi ya hivi karibuni
Uzito 3.0 na zaidi
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 10/31/08 | 1:45 AM | 4.1 | 24.7 km | 26,900 m | offshore Tamaulipas, Mexico | 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.