Businesses in Melbourne
Hotels & Travel
Restaurants
Automotive
Financial Services
Medical
Beauty & Spas
Community & Government
Industries
Business Distribution by Industry Shopping: 20.2%
Restaurants: 15.6%
Professional Services: 15.3%
Industry: 5.9%
Medical: 5.5%
Financial Services: 5.1%
Other: 32.5%
| Industry Description | Number of Establishments | Average Age of Business | Average Google Rating | Businesses per 1,000 residents |
|---|---|---|---|---|
| Automotive | 666 | 3.9 | 21.3 | |
| Beauty & Spas | 1,276 | 12.2 years | 4.2 | 40.9 |
| Beauty salons | 547 | 4.2 | 17.5 | |
| Hairdressers | 456 | 4.3 | 14.6 | |
| Community & Government | 882 | 3.4 | 28.3 | |
| Education | 2,065 | 24.4 years | 4.4 | 66.2 |
| Education other | 582 | 4.6 | 18.6 | |
| Higher education (colleges and universities) | 365 | 4.0 | 11.7 | |
| Secondary education | 416 | 4.3 | 13.3 | |
| Entertainment | 973 | 43.4 years | 4.4 | 31.2 |
| Financial Services | 3,784 | 75.7 years | 3.9 | 121.2 |
| Loan companies | 1,685 | 76.1 years | 4.1 | 54.0 |
| Food | 2,131 | 22.5 years | 4.2 | 68.3 |
| Home Services | 2,814 | 28.2 years | 4.0 | 90.2 |
| General contractors | 484 | 4.1 | 15.5 | |
| Real estate | 904 | 4.0 | 29.0 | |
| Hotels & Travel | 1,900 | 33.7 years | 4.1 | 60.9 |
| Buses and trains | 369 | 3.9 | 11.8 | |
| Travel agencies | 444 | 22.8 years | 4.3 | 14.2 |
| Industry | 2,488 | 46.2 years | 4.0 | 79.7 |
| Construction of buildings | 513 | 4.1 | 16.4 | |
| Local Services | 1,282 | 26.5 years | 4.2 | 41.1 |
| Medical | 3,370 | 4.2 | 108.0 | |
| Health and medical | 1,441 | 4.0 | 46.2 | |
| Professional Services | 7,402 | 33 years | 4.2 | 237.2 |
| Accountants | 555 | 4.5 | 17.8 | |
| Advertising and marketing | 644 | 42.4 years | 4.4 | 20.6 |
| Corporate management | 1,698 | 43.8 years | 3.9 | 54.4 |
| Employment agencies | 534 | 4.1 | 17.1 | |
| Lawyers legal | 1,464 | 21.8 years | 4.6 | 46.9 |
| Specialized design | 558 | 15.7 years | 4.3 | 17.9 |
| Restaurants | 7,819 | 12.8 years | 4.1 | 250.5 |
| Bars, pubs and taverns | 818 | 14.2 years | 4.2 | 26.2 |
| Cafes | 1,582 | 12.2 years | 4.2 | 50.7 |
| Fast food restaurants | 358 | 3.7 | 11.5 | |
| Shopping | 11,887 | 34.6 years | 4.1 | 380.9 |
| Clothing stores | 1,112 | 4.1 | 35.6 | |
| Electronics stores | 946 | 22.4 years | 4.1 | 30.3 |
| Jewelers and watches | 468 | 4.4 | 15.0 | |
| Office supplies and stationery stores | 1,138 | 51.7 years | 3.9 | 36.5 |
| Shopping other | 419 | 4.3 | 13.4 | |
| Women's clothing | 412 | 4.0 | 13.2 | |
| Sports & Activities | 965 | 4.3 | 30.9 |
| Area of Melbourne, Victoria (Australia) | 6.2 km² |
| Population | 31,211 |
| Male Population | 15,765 (50.5%) |
| Female Population | 15,446 (49.5%) |
| Population change from 1975 to 2015 | +72.9% |
| Population change from 2000 to 2015 | +25.5% |
| Median Age | 28.9 |
| Male Median Age | 29.5 |
| Female Median Age | 28.3 |
| Neighborhoods | Melbourne, Melbourne CBD |
| Local Time | Friday 7:32 PM |
| Timezone | Australian Eastern Standard Time |
| Lat & Lng | -37.814° / 144.96332° |
| Postal Codes | 3000, 3001, 3004, 3010, 3050, More |
Melbourne, Victoria (Australia) - Map
Melbourne, Victoria (Australia) Population
Years 1975 to 2015| Data | 1975 | 1990 | 2000 | 2015 |
|---|---|---|---|---|
| Population | 18,050 | 22,243 | 24,861 | 31,211 |
| Population Density | 2,896 / km² | 3,569 / km² | 3,989 / km² | 5,008 / km² |
Melbourne Population change from 2000 to 2015
Increase of 25.5% from year 2000 to 2015| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Melbourne, Victoria (Australia) | +72.9% | +40.3% | +25.5% |
| Victoria | +72.6% | +40.2% | +25.5% |
| Australia | +72.6% | +40.3% | +25.5% |
Melbourne, Victoria (Australia) Median Age
Median Age: 28.9 years| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Melbourne, Victoria (Australia) | 28.9 years | 28.3 years | 29.5 years |
| Victoria | 37.6 years | 38.6 years | 36.6 years |
| Australia | 37.7 years | 38.6 years | 36.8 years |
Melbourne, Victoria (Australia) Population Tree
Population By Age and Gender| Age | Male | Female | Total |
|---|---|---|---|
| Under 5 | 412 | 383 | 795 |
| 5-9 | 178 | 188 | 367 |
| 10-14 | 150 | 141 | 292 |
| 15-19 | 800 | 1,069 | 1,869 |
| 20-24 | 3,362 | 3,732 | 7,094 |
| 25-29 | 3,316 | 3,311 | 6,628 |
| 30-34 | 2,260 | 1,875 | 4,135 |
| 35-39 | 1,207 | 904 | 2,111 |
| 40-44 | 865 | 695 | 1,561 |
| 45-49 | 656 | 592 | 1,248 |
| 50-54 | 573 | 539 | 1,112 |
| 55-59 | 513 | 582 | 1,095 |
| 60-64 | 481 | 510 | 991 |
| 65-69 | 409 | 350 | 759 |
| 70-74 | 230 | 199 | 430 |
| 75-79 | 136 | 126 | 262 |
| 80-84 | 114 | 121 | 235 |
| 85 Plus | 104 | 132 | 237 |
Melbourne, Victoria (Australia) Population Density
Population Density: 5,008 / km²| Location | Population | Area | Population Density |
|---|---|---|---|
| Melbourne, Victoria (Australia) | 31,211 | 6.2 km² | 5,008 / km² |
| Victoria | 5.9 million | 227,400.2 km² | 26.1 / km² |
| Australia | 23.8 million | 7,690,961.5 km² | 3.09 / km² |
Melbourne, Victoria (Australia) Historical and Projected Population
Estimated Population from 1860 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 Melbourne Melbourne CBD: 59%
Melbourne: 21.1%
Other: 19.9%
Area Codes
Percentage Area Codes used by businesses in Melbourne Area Code 3: 80.3%
Area Code 4: 18.6%
Other: 1.1%
Business distribution by price for Melbourne, Victoria (Australia)
Inexpensive: 43.2%
Moderate: 37.2%
Expensive: 13.1%
Very Expensive: 6.5%
5: 0%
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
Melbourne, Victoria (Australia) CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Melbourne, Victoria (Australia) | 618,099 t | 19.8 t | 99,179 t/km² |
| Victoria | 101,123,086 t | 17 t | 444.7 t/km² |
| Australia | 401,155,563 t | 16.9 t | 52.2 t/km² |
Melbourne, Victoria (Australia) CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 618,099 t |
| 2013 CO2 emissions (tonnes/year) per capita | 19.8 t |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 99,179 t/km² |
Natural Hazards Risk
Relative risk out of 10| Flood | Medium (4) |
| Earthquake | Medium (4) |
* 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. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
3. 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 greater| Date | Time | Magnitude | Distance | Depth | Location | Link |
|---|---|---|---|---|---|---|
| 12/3/14 | 11:05 AM | 3.6 | 52.8 km | 10,000 m | 11km S of Beaconsfield Upper, Australia | usgs.gov |
| 5/1/13 | 9:41 AM | 3.1 | 53.7 km | 10,000 m | 7km N of Leopold, Australia | usgs.gov |
| 7/5/11 | 2:16 AM | 3.7 | 99.3 km | 6,000 m | near the southeast coast of Australia | usgs.gov |
| 9/22/09 | 1:20 AM | 3.1 | 57.5 km | None | near the southeast coast of Australia | usgs.gov |
| 3/7/07 | 6:34 PM | 3.5 | 70.8 km | 14,000 m | near the southeast coast of Australia | usgs.gov |
| 8/21/01 | 4:13 PM | 3.6 | 37.1 km | 33,000 m | near the southeast coast of Australia | usgs.gov |
| 7/24/00 | 12:47 AM | 3.1 | 29.3 km | 10,000 m | near the southeast coast of Australia | usgs.gov |
| 6/18/85 | 3:56 PM | 3.2 | 86.5 km | 10,000 m | near the southeast coast of Australia | usgs.gov |
| 12/2/77 | 5:32 AM | 4.2 | 52.8 km | 33,000 m | near the southeast coast of Australia | usgs.gov |
Melbourne, Victoria (Australia)
Melbourne (/ˈmɛlbərn/, AU /ˈmɛlbən/) is the capital and most populous city in the Australian state of Victoria, and the second most populous city in Australia and Oceania. The name "Melbourne" refers to the area of urban agglomeration (as well as a c.. Melbourne Wikipedia Page
Postal Codes
Percentage of businesses by Postal Codes in Melbourne Postal Code 3000: 67.9%
Postal Code 3004: 10.8%
Other: 21.3%
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.
