Magal Facts
| Area | 0.6 km² |
| Population | 1,258 |
| Male Population | 620 (49.2%) |
| Female Population | 638 (50.8%) |
| Population change (1975 to 2020) | +347.7% |
| Population change (2000 to 2020) | +134.3% |
| Median Age | 30.4 years (Male: 29.2, Female: 31.5) |
| Local Time | |
| Timezone | Israel Daylight Time |
| Lat & Lng | 32.38506, 35.03680 |
| Postal Codes | 38845 |
Map of Magal
Interactive Map
Magal Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 281 | 411 | 537 | 1,140 | 1,258 |
| Population Density | 449.6 / km² | 657.6 / km² | 859.2 / km² | 1,824 / km² | 2,012.8 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Magal Population change from 2000 to 2015
Increase of 112.3% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Magal | +305.7% | +177.4% | +112.3% |
| Haifa District | +73.2% | +47.5% | +19.9% |
| Israel | +141.5% | +78.8% | +33.8% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Magal Median Age
Median Age: 30.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Magal | 30.4 yrs | 31.5 yrs | 29.2 yrs |
| Haifa District | 32.3 yrs | 33.9 yrs | 30.7 yrs |
| Israel | 29.5 yrs | 30.6 yrs | 28.5 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Magal Population Density
Population Density: 2,013 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Magal | 1,258 | 0.625 km² | 2,013 / km² |
| Haifa District | 942,781 | 865.4 km² | 1,089 / km² |
| Israel | 8.3 million | 22,078 km² | 374 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Magal Historical and Projected Population
Estimated Population from 0 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] 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.
Area Codes
Percentage Area Codes used by businesses in Magal
Magal CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Magal | 14,690 tn | 11.68 tn | 23,504.4 tons/km² |
| Haifa District | 10,045,714 tn | 10.66 tn | 11,608.3 tons/km² |
| Israel | 81,985,471 tn | 9.92 tn | 3,713.4 tons/km² |
Sources: [Link] 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
Magal CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 14,690 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 11.68 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 23,504.4 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | High (9) |
| Flood | Medium (7) |
| Earthquake | Medium (7) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- 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.
- 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.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 7/4/18 | 7:45 PM | 4.7 | 59.6 km | 10,000 m | 5km SE of 'Eilabun, Israel | usgs.gov |
| 7/4/18 | 1:50 AM | 4 | 58.2 km | 10,000 m | 6km SSE of 'Eilabun, Israel | usgs.gov |
| 10/20/13 | 12:54 PM | 3.5 | 72.5 km | 5,000 m | 8km NNE of Tiberias, Israel | usgs.gov |
| 8/7/11 | 8:52 AM | 4.1 | 56.9 km | 31,000 m | Dead Sea region | usgs.gov |
| 8/13/08 | 6:05 AM | 3.2 | 86.7 km | 10,000 m | eastern Mediterranean Sea | usgs.gov |
| 12/2/07 | 7:38 AM | 4 | 92.7 km | 10,000 m | Dead Sea region | usgs.gov |
| 11/23/07 | 10:19 PM | 4.4 | 58.9 km | 11,000 m | Dead Sea region | usgs.gov |
| 11/20/07 | 11:21 PM | 3.2 | 94 km | 5,000 m | Dead Sea region | usgs.gov |
| 11/20/07 | 9:18 AM | 4.6 | 92.1 km | 10,000 m | Dead Sea region | usgs.gov |
| 11/18/06 | 2:57 AM | 3.1 | 48.3 km | 10,000 m | Dead Sea region | usgs.gov |
Source: U.S. Geological Survey (USGS)
Magal
Magal (Hebrew: מַגָּל, lit. Sickle) is a kibbutz in northern Israel. Located in the Wadi Ara region of the northern Sharon plain near the Green Line, it falls under the jurisdiction of Menashe Regional Council. In 2006 it had a population of 522. vi..
Magal Wikipedia Page
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.