Kategoria katika Espinal
Viwanda
Mgawanyo wa biashara kwa sekta katika Espinal
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Wastani wa Google rating |
|---|---|---|
| Manunuzi | 127 | 4.1 |
| Mikahawa | 37 | 4.2 |
| Elimu | 25 | 4 |
| Nyingine malazi | 23 | 3.9 |
| Mashirika au makampuni yanayotoa mikopo | 23 | 3.7 |
| Maduka ya vyakula na makubwa | 22 | 4 |
| Vyakula vyote na Vinywaji | 21 | 3.9 |
| Hoteli na motels | 17 | 4 |
| Maduka ya idara | 15 | 3.9 |
| Asubuhi ya | 15 | 3.6 |
| Benki | 14 | 3.6 |
| Maduka ya nguo | 12 | 4.2 |
| Utengenezaji wa magari | 12 | 4 |
| Udhibiti wa shirika | 11 | 3.8 |
| Maduka ya dawa na maduka ya madawa ya kulevya | 10 | 4.4 |
| Afya na matibabu | 10 | 3.8 |
| Duka la vipuri vya chuma | 9 | 4.7 |
| Kituo cha kuuza mafuta | 9 | 3.8 |
| Baa, baa na Mikahawa | 9 | 3.9 |
| Uokaji mikate | 7 | 3.5 |
| Duka za vifaa vya elektroniki | 7 | 3.8 |
| Majengo | 6 | — |
| Vifaa vya ofisi na maduka ya vifaa vya | 6 | 4.7 |
| Elimu ya juu (vyuo na vyuo vikuu) | 6 | 4.2 |
| Dini | 6 | 4.6 |
Ukweli wa Espinal
| Area | 177.4 km² |
| Idadi ya Watu | 83,015 |
| Idadi ya Wanaume | 41,941 (50.5%) |
| Idadi ya Wanawake | 41,074 (49.5%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +68.0% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +11.1% |
| Umri Wastani | Miaka 25.5 (Mwanamume: 25, Mwanamke: 26.1) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Kolombia |
| Latitudo na Longitudo | 4.14924, -74.88429 |
| Posta | 733520, 733527, 733528, 733529 |
Ramani ya Espinal
Ramani inayoingiliana
Idadi ya watu ya Espinal
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 49,419 | 67,140 | 74,700 | 77,458 | 83,015 |
| Uzani wa Idadi ya Watu | 278.6 / km² | 378.5 / km² | 421.1 / km² | 436.7 / km² | 468 / km² |
Mabadiliko ya idadi ya watu ya Espinal kutoka 2000 hadi 2015
Ongezeko la 3.7% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Espinal | +56.7% | +15.4% | +3.7% |
| Departamento de Tolima | +50.2% | +15.5% | +4.9% |
| Kolombia | +94.6% | +40.7% | +19.4% |
Umri wa wastani wa Espinal
Umri wa wastani: miaka 25.5
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Espinal | 25.5 yrs | 26.1 yrs | 25 yrs |
| Departamento de Tolima | 25.5 yrs | 26.1 yrs | 25 yrs |
| Kolombia | 24.9 yrs | 25.8 yrs | 24.1 yrs |
Msongamano wa watu wa Espinal
Msongamano wa watu: 468 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Espinal | 83,015 | 177.4 km² | 468 / km² |
| Departamento de Tolima | 1.4 million | 24,127.8 km² | 58 / km² |
| Kolombia | 47.8 million | 1,136,620.4 km² | 42.1 / km² |
Idadi ya watu ya kihistoria na inayokadiriwa ya Espinal
Idadi ya watu inayokadiriwa kutoka 600 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.
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Espinal
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Espinal
Kielelezo cha Maendeleo ya Binadamu (HDI)
Faharisi ya takwimu ya kitisho cha kuishi, elimu, na mapato ya kila mtu.
Utoaji wa CO2 wa Espinal
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 |
|---|---|---|---|
| Espinal | 218,821 tn | 2.64 tn | 1,233.7 tons/km² |
| Departamento de Tolima | 3,680,026 tn | 2.63 tn | 152.5 tons/km² |
| Kolombia | 116,035,326 tn | 2.43 tn | 102.1 tons/km² |
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 218,821 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 2.64 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 1,233.7 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (5) |
| Flood | High (9) |
| Earthquake | Medium (7) |
| Landslide | Medium (7) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
- 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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- 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.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Matetemeko ya Ardhi ya hivi karibuni
Uzito 3.0 na zaidi
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 2/10/19 | 2:21 AM | 4.6 | 95.3 km | 151,940 m | 20km ESE of Santa Rosa de Cabal, Colombia | usgs.gov |
| 7/19/18 | 5:39 AM | 5.1 | 86.1 km | 47,770 m | 23km ENE of Colombia, Colombia | usgs.gov |
| 7/30/17 | 5:57 AM | 4.5 | 74.6 km | 10,000 m | 11km SSE of Murillo, Colombia | usgs.gov |
| 7/30/17 | 5:40 AM | 4.7 | 79.3 km | 10,000 m | 10km SE of Libano, Colombia | usgs.gov |
| 2/6/17 | 1:02 PM | 5.5 | 80.9 km | 37,950 m | 16km ENE of Colombia, Colombia | usgs.gov |
| 1/21/17 | 6:34 AM | 4 | 94.6 km | 31,990 m | 10km NW of Chipaque, Colombia | usgs.gov |
| 10/31/16 | 2:05 AM | 5 | 92.8 km | 36,160 m | 33km E of Colombia, Colombia | usgs.gov |
| 10/31/16 | 12:20 AM | 5.6 | 88.9 km | 33,000 m | 34km ENE of Colombia, Colombia | usgs.gov |
| 3/13/16 | 1:17 PM | 4.5 | 81.7 km | 52,640 m | 44km SSE of Villarrica, Colombia | usgs.gov |
| 9/18/15 | 4:35 AM | 4.7 | 96.4 km | 15,520 m | 15km S of Genova, Colombia | usgs.gov |
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.

