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Businesses in Beira, Mozambique
Industries
Business Distribution by Industry Industry: 11.5%
Hotels & Travel: 11.4%
Education: 11%
Restaurants: 10.2%
Shopping: 9.7%
Professional Services: 8.4%
Medical: 6%
Community & Government: 5.6%
Religion: 5.2%
Other: 20.9%
Industry Description | Number of Establishments | Average Google Rating | Businesses per 1,000 residents |
---|---|---|---|
Automotive | 13 | 4.3 | 0.0 |
Community & Government | 14 | 3.8 | 0.0 |
Police and law enforcement | 5 | 3.9 | 0.0 |
Education | 23 | 4.0 | 0.0 |
Higher education (colleges and universities) | 7 | 4.0 | 0.0 |
Financial Services | 19 | 4.0 | 0.0 |
Banks | 9 | 4.0 | 0.0 |
Loan companies | 9 | 4.0 | 0.0 |
Food | 20 | 3.8 | 0.0 |
Grocery stores and supermarkets | 6 | 3.7 | 0.0 |
Home Services | 10 | 4.1 | 0.0 |
Construction of houses | 5 | 4.1 | 0.0 |
Hotels & Travel | 52 | 3.7 | 0.1 |
Hotels and motels | 20 | 3.6 | 0.0 |
Other accommodation | 17 | 3.6 | 0.0 |
Industry | 17 | 3.8 | 0.0 |
Medical | 10 | 4.2 | 0.0 |
Hospitals | 6 | 4.1 | 0.0 |
Postal Services | 5 | 3.6 | 0.0 |
Post offices | 5 | 3.6 | 0.0 |
Professional Services | 8 | 4.1 | 0.0 |
Religion | 15 | 4.2 | 0.0 |
Churches | 8 | 4.2 | 0.0 |
Restaurants | 43 | 3.9 | 0.1 |
African restaurants | 6 | 0.0 | |
Shopping | 40 | 3.8 | 0.1 |
Office supplies and stationery stores | 5 | 0.0 | |
Sports & Activities | 6 | 3.9 | 0.0 |
Area of Beira, Mozambique | 633 km² |
Population | 487,257 |
Male Population | 247,949 (50.9%) |
Female Population | 239,309 (49.1%) |
Population change from 1975 to 2015 | +32.7% |
Population change from 2000 to 2015 | +10.1% |
Median Age | 19.2 |
Male Median Age | 19.7 |
Female Median Age | 18.7 |
Area Codes | 23 |
Neighborhoods | Area da Baixa, Macuti, Manga, Maquinio, Matacuane, Munhava, Ponta Gea |
Local Time | Friday 1:43 AM |
Timezone | Central Africa Time |
Weather | 18.5°C light rain |
Lat & Lng | -19.84361° / 34.83889° |
Postal Codes | 2100, 2101, 2102, 2103 |
Beira, Mozambique - Map
Beira, Mozambique Population
Years 1975 to 2015Data | 1975 | 1990 | 2000 | 2015 |
---|---|---|---|---|
Population | 367,268 | 385,219 | 442,702 | 487,257 |
Population Density | 580.2 / km² | 608.6 / km² | 699.4 / km² | 769.8 / km² |
Beira, Mozambique Population change from 2000 to 2015
Increase of 10.1% from year 2000 to 2015Location | Change since 1975 | Change since 1990 | Change since 2000 |
---|---|---|---|
Beira, Mozambique | +32.7% | +26.5% | +10.1% |
Sofala | +140% | +90.1% | +43.5% |
Mozambique | +173.4% | +111.3% | +53.8% |
Beira, Mozambique Median Age
Median Age: 19.2 yearsLocation | Median Age | Median Age (Female) | Median Age (Male) |
---|---|---|---|
Beira, Mozambique | 19.2 years | 18.7 years | 19.7 years |
Sofala | 16.4 years | 16.9 years | 15.8 years |
Mozambique | 16.7 years | 17.5 years | 15.8 years |
Beira, Mozambique Population Tree
Population By Age and GenderAge | Male | Female | Total |
---|---|---|---|
Under 5 | 33,233 | 33,326 | 66,560 |
5-9 | 30,944 | 31,392 | 62,336 |
10-14 | 31,881 | 33,269 | 65,151 |
15-19 | 29,764 | 29,509 | 59,273 |
20-24 | 30,337 | 28,656 | 58,993 |
25-29 | 23,292 | 20,561 | 43,853 |
30-34 | 16,142 | 15,682 | 31,825 |
35-39 | 12,371 | 12,446 | 24,818 |
40-44 | 10,931 | 9,506 | 20,438 |
45-49 | 9,182 | 7,362 | 16,545 |
50-54 | 6,885 | 5,827 | 12,713 |
55-59 | 5,007 | 3,897 | 8,904 |
60-64 | 3,293 | 2,856 | 6,150 |
65-69 | 2,077 | 1,875 | 3,952 |
70-74 | 1,313 | 1,453 | 2,767 |
75-79 | 733 | 916 | 1,650 |
80-84 | 281 | 388 | 670 |
85 Plus | 282 | 385 | 668 |
Beira, Mozambique Population Density
Population Density: 769.8 / km²Location | Population | Area | Population Density |
---|---|---|---|
Beira, Mozambique | 487,257 | 633 km² | 769.8 / km² |
Sofala | 2.2 million | 67,749.5 km² | 31.9 / km² |
Mozambique | 27.5 million | 786,431.3 km² | 34.9 / km² |
Beira, Mozambique Historical and Projected Population
Estimated Population from 1810 to 2100Sources:
1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
2. CIESIN (Center for International Earth Science Information Network)
3. [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.
Neighborhoods
Business Distribution by neighborhood in Beira, Mozambique Area da Baixa: 42.1%
Ponta Gea: 17%
Munhava: 10.5%
Macuti: 8.8%
Manga: 5.8%
Maquinio: 5.3%
Matacuane: 4.7%
Other: 5.8%
Business distribution by price for Beira, Mozambique
Moderate: 70.4%
Inexpensive: 18.5%
Expensive: 11.1%
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.Sources: [Link] 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
Beira, Mozambique CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per YearLocation | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
---|---|---|---|
Beira, Mozambique | 105,786 t | 0.22 t | 167.1 t/km² |
Sofala | 467,733 t | 0.22 t | 6.9 t/km² |
Mozambique | 5,734,289 t | 0.21 t | 7.29 t/km² |
Beira, Mozambique CO2 Emissions
2013 CO2 emissions (tonnes/year) | 105,786 t |
2013 CO2 emissions (tonnes/year) per capita | 0.22 t |
2013 CO2 emissions intensity (tonnes/km²/year) | 167.1 t/km² |
Natural Hazards Risk
Relative risk out of 10Cyclone | High (8) |
Drought | High (7) |
Flood | High (8) |
Earthquake | Medium (2) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources: 1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
Recent Nearby Earthquakes
Magnitude 3.0 and greaterDate | Time | Magnitude | Distance | Depth | Location | Link |
---|---|---|---|---|---|---|
6/23/17 | 7:37 PM | 5.6 | 57 km | 27,000 m | 32km WNW of Dondo, Mozambique | usgs.gov |
3/29/15 | 9:28 AM | 4 | 60.3 km | 16,550 m | 33km NW of Dondo, Mozambique | usgs.gov |
1/19/09 | 7:20 AM | 4.5 | 14.3 km | 10,000 m | Mozambique | usgs.gov |
3/3/02 | 3:02 PM | 4.4 | 19.5 km | 10,000 m | Mozambique | usgs.gov |
10/15/00 | 11:03 PM | 3.9 | 62.7 km | 10,000 m | Mozambique | usgs.gov |
11/12/91 | 7:05 PM | 3.4 | 76.7 km | 33,000 m | Mozambique | usgs.gov |
5/25/86 | 8:59 AM | 4.6 | 82.7 km | 10,000 m | Mozambique | usgs.gov |

Beira, Mozambique
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. See here for more information.