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Postal Code K4A - Orleans, Ontario

Primary CityOrleans, Ontario
Area of Postal Code K4A27.6 km²
Male Population25,140 (48.5%)
Female Population26,693 (51.5%)
Population change from 1975 to 2015 +103.9%
Population change from 2000 to 2015 +27.9%
Median Age39.1 years
Male Median Age38.2 years
Female Median Age40 years
Postal Code ExtensionsK4A 0A1 | K4A 0A2 | K4A 0A3 | K4A 0A4 | K4A 0A5 | K4A 0A6 | K4A 0A8 | K4A 0A9 | K4A 0B1 | K4A 0B2 | More
NeighborhoodsAvalon-Notting Gate-Fallingbrook-Gardenway South, Cumberland, Orléans
Local TimeMonday 11:39 PM
TimezoneEastern Daylight Time
Coordinates45.47185529856511° / -75.47915423424716°
Related Postal CodesK4BK4CK4KK4MK4PK4R

Map of Postal Code K4A

Interactive Map

Postal Code K4A Population

Years 1975 to 2015
Population Density921.5 / km²1,232 / km²1,469 / km²1,878 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

K4A Population change from 2000 to 2015

Increase of 27.9% from year 2000 to 2015
LocationChange since 1975Change since 1990Change since 2000
Postal Code K4A+103.9%+52.4%+27.9%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code K4A Median Age

Median Age: 39.1 years
LocationMedian AgeMedian Age (Female)Median Age (Male)
Postal Code K4A39.1 years40 years38.2 years
Ottawa39.1 years40 years38.2 years
Ontario40.5 years41.4 years39.6 years
Canada40.6 years41.5 years39.6 years
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code K4A Population Tree

Population By Age and Gender
Under 51,4621,4212,884
85 Plus304654959
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code K4A Population Density

Population Density: 1,878 / km²
LocationPopulationAreaPopulation Density
Postal Code K4A51,83327.6 km²1,878 / km²
Ottawa967,5292,890.4 km²334.7 / km²
Ontario13.8 million1,078,182.8 km²12.8 / km²
Canada35.5 million9,875,295.4 km²3.6 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code K4A Historical and Projected Population

Estimated Population from 1820 to 2100
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,, 2017.

Business Concentration in Postal Code K4A

K4A Business Heat Map


Business Distribution by Industry
 Shopping: 17.2%
 Professional Services: 11.3%
 Restaurants: 9.5%
 Home Services: 8.8%
 Industry: 7%
 Medical: 5.9%
 Local Services: 5.5%
 Other: 34.9%
Industry DescriptionNumber of EstablishmentsAverage Age of BusinessAverage Google RatingBusinesses per 1,000 residents
Car repair134.40.3
Beauty salons224.10.4
Social work123.60.2
Cultural education83.70.2
Loan companies274.30.5
Grocery stores and supermarkets134.30.3
General contractors464.20.9
Plumbing installation and repair85.00.2
Real estate134.90.3
Construction of buildings224.70.4
Wholesale of machinery94.30.2
Child care and day care174.30.3
Health and medical454.10.9
Computer programming, web design95.00.2
Corporate management164.90.3
Scientific and technical services95.00.2
Specialized design110.2
Clothing stores134.20.3
Department stores84.20.2
Electronics stores114.30.2
Furniture stores84.10.2
Gifts, cards and party supplies84.30.2
Hardware stores174.20.3
Household appliances and goods134.20.3
Office supplies and stationery stores84.40.2
Pharmacies and drug stores84.20.2
Shopping other214.20.4
Fitness centers104.60.2
Public parks174.40.3

Business distribution by price for Postal Code K4A

 Moderate: 40.7%
 Inexpensive: 34.6%
 Very Expensive: 14.8%
 Expensive: 9.9%

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 K4A CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code K4A889,879 t17.2 t32,249 t/km²
Ottawa16,643,876 t17.2 t5,758 t/km²
Ontario197,940,137 t14.4 t183.6 t/km²
Canada521,999,336 t14.7 t52.9 t/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

Postal Code K4A CO2 Emissions

2013 CO2 emissions (tonnes/year)889,879 t
2013 CO2 emissions (tonnes/year) per capita17.2 t
2013 CO2 emissions intensity (tonnes/km²/year)32,249 t/km²

Natural Hazards Risk

Relative risk out of 10
EarthquakeMedium (6)
* Risk, particularly concerning flood or landslide, may not be for the entire area.

Recent Nearby Earthquakes

Magnitude 3.0 and greater
7/31/177:50 AM3.145.4 km21,500 m30km NNE of Val-des-Monts,
11/27/159:16 PM3.2380.4 km5,000 m4km S of Cornwall,
9/9/1512:17 PM3.1977.1 km10,000 m20km NE of Shawville,
7/15/153:00 PM3.2773.2 km10,230 m13km SSE of Hawkesbury,
6/30/131:40 AM3.174.7 km14,000 m19km NNE of Shawville,
5/17/131:15 PM3.175.1 km18,000 m21km NNE of Shawville,
5/17/136:53 AM3.6375.3 km10,720 m18km NE of Shawville,
5/17/136:43 AM5.0675.2 km13,000 m19km NNE of Shawville,
1/15/134:53 PM3.565.5 km18,000 msouthern Quebec,
11/6/121:05 AM3.7470.5 km11,070 mOntario-Quebec border region,

Find historical earthquake occurrences near Postal Code K4A

Earliest Date  Latest Date 
 Magnitude 3.0 and greater   Magnitude 4.0 and greater   Magnitude 5.0 and greater 

Primary City

Orleans (/ɔːrˈliːnz/; French: [ɔʁleɑ̃]), (French: Orléans), is a suburb of Ottawa, Ontario, Canada. It is located in the eastern part of the city along the Ottawa River, about 16 km (9.9 mi) from downtown Ottawa. The Canada 2011 Census determined tha..  ︎  Orleans, Ontario Wikipedia Page


Percentage of businesses by city in K4A
 Saint-Jean-de-l'Île-d'Orléans: 83%
 Ottawa: 15.3%
 Other: 1.7%

About Our Data

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