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Postal Code 1632 - Tembisa, Gauteng

Primary CityTembisa
Area of Postal Code 163248.3 km²
Male Population392,282 (53.7%)
Female Population338,771 (46.3%)
Population change from 1975 to 2015 +286.1%
Population change from 2000 to 2015 +47%
Median Age26.9 years
Male Median Age27.7 years
Female Median Age26 years
NeighborhoodsEbony Park, Kaalfontein, Tembisa
Local TimeSunday 8:16 AM
TimezoneSouth Africa Standard Time
Coordinates-26.003470066837426° / 28.206055236725618°
Related Postal Codes162616271628163016311635

Map of Postal Code 1632

Interactive Map

Postal Code 1632 Population

Years 1975 to 2015
Population Density3,917 / km²7,262 / km²10,287 / km²15,126 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

1632 Population change from 2000 to 2015

Increase of 47% from year 2000 to 2015
LocationChange since 1975Change since 1990Change since 2000
Postal Code 1632+286.1%+108.3%+47%
South Africa+111.9%+48.1%+21.4%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 1632 Median Age

Median Age: 26.9 years
LocationMedian AgeMedian Age (Female)Median Age (Male)
Postal Code 163226.9 years26 years27.7 years
Tembisa27 years26.1 years27.7 years
Gauteng28.1 years28.2 years28.1 years
South Africa25.4 years26.3 years24.5 years
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code 1632 Population Tree

Population By Age and Gender
Under 540,20440,09180,295
85 Plus344610954
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code 1632 Population Density

Population Density: 15,126 / km²
LocationPopulationAreaPopulation Density
Postal Code 1632731,05448.3 km²15,126 / km²
Tembisa569,08435.2 km²16,187 / km²
Gauteng13.5 million18,178.3 km²743.9 / km²
South Africa54.3 million1,219,846.5 km²44.5 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 1632 Historical and Projected Population

Estimated Population from 1880 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, https://doi.org/10.5194/essd-9-927-2017, 2017.


Business Distribution by neighborhood in 1632
 Tembisa: 46.1%
 Kaalfontein: 7%
 Ebony Park: 6.5%
 Other: 40.4%

Area Codes

Percentage Area Codes used by businesses in 1632
 Area Code 11: 46%
 Area Code 7: 35.4%
 Area Code 82: 5.7%
 Other: 12.9%

Business Concentration in Postal Code 1632

1632 Business Heat Map


Business Distribution by Industry
 Shopping: 25.5%
 Food: 10.7%
 Education: 8.4%
 Religion: 7.7%
 Financial Services: 6.8%
 Restaurants: 6.5%
 Professional Services: 5.4%
 Beauty & Spas: 5.1%
 Other: 23.9%
Industry DescriptionNumber of EstablishmentsAverage Google RatingBusinesses per 1,000 residents
Car parts83.60.0
Car repair163.80.0
Beauty salons323.80.0
Driving schools81.00.0
Secondary education133.90.0
Loan companies72.60.0
Grocery stores and supermarkets113.50.0
Internet cafes74.40.0
Wine, beer and liquor stores133.80.0
General contractors93.50.0
Other membership organizations93.70.0
Cemeteries and crematoriums174.10.0
Child care and day care125.00.0
General practitioners93.80.0
Health and medical364.00.0
Fast food restaurants83.40.0
Clothing stores93.30.0
Furniture stores133.80.0
Hardware stores173.60.0
Household appliances and goods103.80.0
Mobile phone stores91.00.0
Pharmacies and drug stores72.40.0
Shoe stores73.90.0
Shopping other102.50.0

Business distribution by price for Postal Code 1632

 Inexpensive: 51.7%
 Moderate: 44.8%
 Very Expensive: 3.4%

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 1632 CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code 16327,355,419 t10.1 t152,189 t/km²
Tembisa5,704,678 t10 t162,267 t/km²
Gauteng126,172,862 t9.33 t6,940 t/km²
South Africa358,473,407 t6.6 t293.9 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 1632 CO2 Emissions

2013 CO2 emissions (tonnes/year)7,355,419 t
2013 CO2 emissions (tonnes/year) per capita10.1 t
2013 CO2 emissions intensity (tonnes/km²/year)152,189 t/km²

Natural Hazards Risk

Relative risk out of 10
DroughtMedium (5)
* Risk, particularly concerning flood or landslide, may not be for the entire area.

Recent Nearby Earthquakes

Magnitude 3.0 and greater
2/28/198:56 PM4.950.9 km5,000 m6km WSW of Soweto, South Africausgs.gov
2/20/189:23 AM4.552.8 km5,000 m7km SSW of Soweto, South Africausgs.gov
1/23/1811:47 AM4.449.5 km5,000 m4km WSW of Soweto, South Africausgs.gov
11/17/1311:53 PM4.334.1 km5,000 m8km WSW of Johannesburg, South Africausgs.gov
12/18/097:12 AM4.225.3 km2,000 mSouth Africausgs.gov
4/28/063:50 AM3.837.3 km5,000 mSouth Africausgs.gov
1/24/061:13 AM3.628.6 km2,000 mSouth Africausgs.gov
12/24/006:46 AM4.134.9 km5,000 mSouth Africausgs.gov
4/25/985:50 PM4.522 km5,000 mSouth Africausgs.gov
2/29/969:34 PM4.414.1 km10,000 mSouth Africausgs.gov

Find historical earthquake occurrences near Postal Code 1632

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

Primary City

Tembisa is a large township situated to the north of Kempton Park on the East Rand, Gauteng, South Africa. It was established in 1957 when black people were resettled from Alexandra and other areas in Edenvale, Kempton Park, Midrand and Germiston.   ︎  Tembisa Wikipedia Page


Percentage of businesses by city in 1632
 Johannesburg: 80.1%
 Midrand: 12.9%
 Kempton Park, Gauteng: 6.6%
 Other: 0.4%

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.