Postal Code R3Y - Winnipeg, Manitoba
| Primary City | Winnipeg |
| Area of Postal Code R3Y | 18.5 km² |
| Population | 13,635 |
| Male Population | 6,620 (48.6%) |
| Female Population | 7,015 (51.4%) |
| Population change from 1975 to 2015 | +54.7% |
| Population change from 2000 to 2015 | +15% |
| Median Age | 39 years |
| Male Median Age | 37.6 years |
| Female Median Age | 40.3 years |
| Area Codes | 204, 780 |
| Postal Code Extensions | R3Y 0A1 | R3Y 0A2 | R3Y 0A3 | R3Y 0A4 | R3Y 0A5 | R3Y 0A6 | R3Y 0A7 | R3Y 0A8 | R3Y 0A9 | R3Y 0B1 | More |
| Neighborhoods | Bridgwater Forest, Fort Garry, South Pointe, Tuxedo Industrials, Waverley West, West Fort Garry Industrial, Whyte Ridge |
| Local Time | Tuesday 10:15 PM |
| Timezone | Central Daylight Time |
| Coordinates | 49.80965591325449° / -97.19829820550264° |
| Related Postal Codes | R3R, R3S, R3T, R3V, R3W, R3X |
Map of Postal Code R3Y
Interactive MapPostal Code R3Y Population
Years 1975 to 2015| Data | 1975 | 1990 | 2000 | 2015 |
|---|---|---|---|---|
| Population | 8,813 | 10,753 | 11,858 | 13,635 |
| Population Density | 475.3 / km² | 580.0 / km² | 639.6 / km² | 735.4 / km² |
R3Y Population change from 2000 to 2015
Increase of 15% from year 2000 to 2015| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code R3Y | +54.7% | +26.8% | +15% |
| Winnipeg | +49.9% | +25% | +13.7% |
| Manitoba | +49.8% | +26.3% | +14.9% |
| Canada | +55.8% | +30.2% | +17.2% |
Postal Code R3Y Median Age
Median Age: 39 years| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code R3Y | 39 years | 40.3 years | 37.6 years |
| Winnipeg | 39 years | 40.3 years | 37.6 years |
| Manitoba | 38.2 years | 39.3 years | 37.1 years |
| Canada | 40.6 years | 41.5 years | 39.6 years |
Postal Code R3Y Population Tree
Population By Age and Gender| Age | Male | Female | Total |
|---|---|---|---|
| Under 5 | 383 | 374 | 758 |
| 5-9 | 379 | 359 | 739 |
| 10-14 | 417 | 386 | 803 |
| 15-19 | 464 | 447 | 911 |
| 20-24 | 499 | 497 | 996 |
| 25-29 | 483 | 493 | 976 |
| 30-34 | 453 | 469 | 923 |
| 35-39 | 441 | 454 | 895 |
| 40-44 | 447 | 460 | 908 |
| 45-49 | 514 | 528 | 1,042 |
| 50-54 | 508 | 519 | 1,028 |
| 55-59 | 442 | 471 | 914 |
| 60-64 | 374 | 410 | 784 |
| 65-69 | 260 | 293 | 553 |
| 70-74 | 189 | 232 | 421 |
| 75-79 | 158 | 209 | 368 |
| 80-84 | 116 | 189 | 306 |
| 85 Plus | 93 | 224 | 318 |
Postal Code R3Y Population Density
Population Density: 735.4 / km²| Location | Population | Area | Population Density |
|---|---|---|---|
| Postal Code R3Y | 13,635 | 18.5 km² | 735.4 / km² |
| Winnipeg | 705,422 | 475.4 km² | 1,483 / km² |
| Manitoba | 1.3 million | 649,857.2 km² | 1.98 / km² |
| Canada | 35.5 million | 9,875,295.4 km² | 3.6 / km² |
Postal Code R3Y Historical and Projected Population
Estimated Population from 1880 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 R3Y West Fort Garry Industrial: 56.7%
Whyte Ridge: 12.7%
Tuxedo Industrials: 6.1%
Other: 24.4%
Industries
Business Distribution by Industry Shopping: 17.1%
Professional Services: 12.3%
Restaurants: 10.3%
Industry: 10.1%
Home Services: 7.3%
Education: 5.8%
Financial Services: 5.6%
Medical: 5.1%
Other: 26.5%
| Industry Description | Number of Establishments | Average Age of Business | Average Google Rating | Businesses per 1,000 residents |
|---|---|---|---|---|
| Automotive | 52 | 21.8 years | 4.2 | 3.8 |
| Car repair | 13 | 21.6 years | 4.2 | 1.0 |
| Gas stations | 6 | 4.1 | 0.4 | |
| Beauty & Spas | 8 | 3.9 | 0.6 | |
| Community & Government | 11 | 23.6 years | 0.8 | |
| Education | 41 | 25.1 years | 4.0 | 3.0 |
| Financial Services | 52 | 20.1 years | 4.3 | 3.8 |
| Finance other | 6 | 18 years | 4.7 | 0.4 |
| Loan companies | 20 | 19.2 years | 4.6 | 1.5 |
| Food | 43 | 27.3 years | 4.3 | 3.2 |
| Grocery stores and supermarkets | 8 | 37 years | 4.3 | 0.6 |
| Home Services | 86 | 24.7 years | 4.0 | 6.3 |
| General contractors | 27 | 25.7 years | 3.9 | 2.0 |
| Other construction | 7 | 4.7 | 0.5 | |
| Real estate | 6 | 4.7 | 0.4 | |
| Hotels & Travel | 9 | 27.4 years | 4.0 | 0.7 |
| Industry | 95 | 26.8 years | 4.3 | 7.0 |
| Construction of buildings | 17 | 26.1 years | 4.5 | 1.2 |
| Wholesale of construction supplies | 10 | 3.9 | 0.7 | |
| Wholesale of food, beverages and tobacco | 6 | 4.3 | 0.4 | |
| Wholesale of machinery | 10 | 25.3 years | 4.3 | 0.7 |
| Local Services | 16 | 22.7 years | 4.1 | 1.2 |
| Medical | 57 | 22.2 years | 4.5 | 4.2 |
| Dentists | 5 | 0.4 | ||
| Health and medical | 24 | 23.1 years | 4.5 | 1.8 |
| Optometrists | 5 | 4.6 | 0.4 | |
| Pets | 10 | 4.1 | 0.7 | |
| Professional Services | 69 | 24.1 years | 4.4 | 5.1 |
| Corporate management | 17 | 25 years | 4.4 | 1.2 |
| Lawyers legal | 7 | 3.6 | 0.5 | |
| Technical construction services | 10 | 4.6 | 0.7 | |
| Religion | 21 | 20.6 years | 4.8 | 1.5 |
| Churches | 8 | 21.2 years | 4.7 | 0.6 |
| Restaurants | 69 | 23.4 years | 4.0 | 5.1 |
| American restaurants | 5 | 4.2 | 0.4 | |
| Cafes | 6 | 3.6 | 0.4 | |
| Shopping | 180 | 24 years | 4.1 | 13.2 |
| Bridal shops | 5 | 0.4 | ||
| Clothing stores | 7 | 4.3 | 0.5 | |
| Electronics stores | 10 | 3.9 | 0.7 | |
| Furniture stores | 7 | 3.5 | 0.5 | |
| Hardware stores | 7 | 3.7 | 0.5 | |
| Household appliances and goods | 6 | 3.9 | 0.4 | |
| Office supplies and stationery stores | 9 | 3.6 | 0.7 | |
| Shopping other | 10 | 27.6 years | 4.3 | 0.7 |
| Sports & Activities | 18 | 16.9 years | 4.3 | 1.3 |
Businesses in Postal Code R3Y
Business distribution by price for Postal Code R3Y
Inexpensive: 46.7%
Moderate: 33.3%
Very Expensive: 16.7%
Expensive: 3.3%
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
Postal Code R3Y CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code R3Y | 203,546 t | 14.9 t | 10,978 t/km² |
| Winnipeg | 10,562,161 t | 15 t | 22,218 t/km² |
| Manitoba | 16,464,729 t | 12.8 t | 25.3 t/km² |
| Canada | 521,999,336 t | 14.7 t | 52.9 t/km² |
Postal Code R3Y CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 203,546 t |
| 2013 CO2 emissions (tonnes/year) per capita | 14.9 t |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 10,978 t/km² |
Natural Hazards Risk
Relative risk out of 10| Drought | High (7) |
| Flood | High (7) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Primary City
Winnipeg (/ˈwɪnɪpɛɡ/) is the capital and largest city of the province of Manitoba, Canada. It is located near the longitudinal centre of North America, at the confluence of the Red and Assiniboine Rivers. name "Winnipeg" comes from the Western Cree .. Winnipeg Wikipedia Page
About Our Data
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