Ekurhuleni’s total population in 2025 stands at approximately 4.06 million, making it one of South Africa’s most populous metropolitan municipalities. The total population trend line shows consistent upward growth over the period covered by the chart, which is likely to reflect both natural increase and sustained in-migration. A population growth rate of 1.7% per annum is significant for a metro of this scale. It suggests the municipality is adding tens of thousands of residents each year, placing continuous pressure on housing, infrastructure and services.

The population growth by age categories chart indicates that growth is concentrated in the working-age cohorts, particularly the 15-44 age band, which is consistent with Ekurhuleni’s profile as an economic hub attracting labour migrants from across Gauteng and beyond. Growth in the older age categories (65+) is more modest but visible, pointing to a gradual ageing trend. The population density figure of 2 854 persons per square kilometre points to a high concentration of residents and the intensity of land-use pressure the municipality faces. Because this is an average for the whole metro, it will mask considerable variation between more and less densely settled areas.

The population age and sex distribution pyramid shows a broad base, typical of a younger, growing urban population, but with slightly fewer very young children than older children, which may indicate moderating fertility. The male bulge in the working-age cohorts, visible when comparing the Ekurhuleni pyramid against the broader comparator geography, is consistent with labour-driven urban in-migration.

You can select more than one district in the filter. To see how Ekurhuleni compares with its peers, add the City of Johannesburg and the City of Tshwane, which are also in Gauteng, and compare indicators such as the age dependency ratio and median age. This shows whether Ekurhuleni’s age structure and demographic dividend are distinctive or typical of Gauteng’s districts.

The sex ratio of 107.5 males per 100 females is consistent with the labour migration dynamics that shape Ekurhuleni’s demographic profile, as working-age men may be disproportionately drawn to the city’s industrial and manufacturing economy. The age dependency ratio of 42 per 100 working-age adults is relatively low by South African standards, suggesting that the working-age population remains the dominant demographic group. This points to a potential demographic dividend: a window of opportunity during which a large, productive workforce supports a comparatively smaller dependent population. However, the ratio is calculated from people living in Ekurhuleni, so it may not account for workers who live and work in the metro but support dependents elsewhere, in other provinces or countries. Therefore, the dividend may be overstated.

The population by age group breakdown shows that the working-age cohort (15-64) constitutes the largest share, followed by the child population (0-14) and a smaller elderly population (65+). The projected dependency ratio charts indicate that while current ratios are favourable, the elderly dependency ratio is expected to rise gradually over the coming decades as the population ages – a trend that planners will need to account for in long-range service and infrastructure planning.

The median age of 30 and an ageing index (the number of older people aged 65+ relative to 100 children under 15) of 27 suggest that Ekurhuleni remains a relatively young metro. However, the rising trajectory of both indicators points to the beginning of a structural demographic shift. Planners should treat this not as a distant concern but as an active planning horizon: the facilities, services and infrastructure designed today will need to serve an older population within a generation.

Ekurhuleni’s population is projected to grow from approximately 4.06 million in 2025 to 4.81 million by 2035, continuing the upward trend seen on page 2 of the dashboard. The projected population pyramid shows continued working-age dominance but a gradual shift towards a more rectangular shape, the demographic signature of an ageing, maturing urban population. As with all projections, these figures rest on assumptions about fertility, mortality and migration, and should be read as indicative rather than certain.

The total fertility rate of 1.89 is below replacement level (2.1), which suggests that natural increase is likely to account for a diminishing share of population growth. Ekurhuleni’s continued growth may therefore be increasingly migration-driven rather than fertility-driven, a distinction with direct implications for planning, since migration-driven growth tends to be more spatially concentrated, more economically sensitive, and more difficult to project with certainty.

The crude death rate has declined over time, and life expectancy at birth has improved, pointing to gains in health outcomes. These indicators can also be compared with other districts in Gauteng, such as the City of Johannesburg and the City of Tshwane, to show whether Ekurhuleni’s mortality and health trends are distinctive or typical of the province.

The net migration data is among the most analytically significant on this page: Ekurhuleni records net in-migration of 435 864 people between 2021 and 2026, indicating that it is a major destination municipality. The migration map shows flows both into Ekurhuleni from other parts of the country and out of Ekurhuleni to other parts of the country, underscoring the diversity of the population and the range of planning pressures this creates. Understanding not just that people are arriving, but where they are coming from and why, is essential for planning infrastructure, housing and services that meet the needs of a mobile and diverse population. The dashboard offers an initial view of this; other migration and survey datasets can add the detail.

Start by asking:

“Could rapid population growth be deepening deprivation in Ekurhuleni, or is growth concentrated in areas with the capacity to absorb it?”

High in-migration into a municipality with existing deprivation can compound disadvantage rapidly. New arrivals often settle in informal settlements or under-serviced areas, which can intensify material and living environment deprivation precisely where municipal capacity is already strained. Understanding whether population growth is concentrated in the most deprived parts of the metro is important for targeting intervention, but it requires data below the metro level, which these dashboards do not provide.

Open the State of Deprivation dashboard.

Look for the SAIMD scores and sub-dimension maps for Ekurhuleni, particularly living environment and employment deprivation, as a municipal-level starting point.

Questions to consider:

• Do areas of highest population density align with the highest SAIMD scores?
• Is in-migration concentrated in communities already experiencing material and living environment deprivation?
• Does the SAMPI headcount suggest that a significant share of Ekurhuleni’s growing population is simultaneously deprived across multiple dimensions?

Start by asking:

“The population dashboard suggests that Ekurhuleni is a net receiver of people. Who is arriving, where are they coming from, and what does the fuller picture of migration mean for how this municipality plans?”

The net migration figure on Page 4 of the Population dashboard is a useful indicator, but it is a summary. It shows the direction and scale of movement without revealing the character, composition, or geographic origins of that movement in detail. The State of Migration dashboard offers a more detailed view of the flows that may be reshaping Ekurhuleni’s population.

Open the State of Migration dashboard.

Look for in-migration and out-migration volumes, origin and destination patterns, migrant age and sex profiles, and any available data on reasons for migration or migrant employment status.

The aim is to look for the story beneath the net figure. A metro like Ekurhuleni may simultaneously be receiving large numbers of working-age labour migrants from Limpopo and Mpumalanga while losing middle-income households to other Gauteng municipalities: two very different flows with very different planning implications. Understanding the composition of migration helps planners move beyond simply accommodating growth to actively shaping the conditions into which migrants arrive.

Questions to consider:

• Do the origin geographies of in-migrants into Ekurhuleni suggest particular cultural, linguistic, or socioeconomic profiles that should inform how services and facilities are designed and communicated?
• Is the age and sex profile of in-migrants consistent with what the population pyramid shows, or does the migration data reveal a more diverse movement pattern that the pyramid alone may not fully capture?
• Are there meaningful out-migration flows from Ekurhuleni that could indicate housing affordability pressure, safety concerns, or economic displacement among established residents?
• Does seasonal or circular migration play a role in Ekurhuleni’s population dynamics, and how should planning account for a population that may be physically present but not always counted in permanent residency figures?

Start by asking:

“Is current MIG investment keeping pace with the infrastructure demand generated by Ekurhuleni’s population growth?”

A growing population of over four million, with substantial net in-migration, is likely to place significant and continuous pressure on water, sanitation, roads and community infrastructure. The question for planners is not simply whether infrastructure exists, but whether its scale and distribution are responsive to where population growth is actually occurring.

Open the State of the Municipal Infrastructure Grant dashboard.

Look for MIG allocation and spending levels, project types, and household benefit figures. Note that the spending and household benefit page filters to district level only, and that the household benefit figure is an estimate drawn from municipal MIG applications of the households expected to be served once projects are complete, rather than a measure of households already served.

Questions to consider:

• Is MIG spending in Ekurhuleni proportionate to the scale and pace of population growth?
• Are project types funded through the MIG aligned with the infrastructure pressures created by in-migration, such as roads, water and sanitation?
• Does the number of households expected to benefit suggest that MIG investment is reaching the growing communities that need it most?
• What has been the on-the-ground or proven impact of MIG infrastructure projects?

Start by asking:

“Is population growth in Ekurhuleni occurring at a faster rate than the expansion of schools, healthcare facilities and community services?”

Population growth creates direct and immediate demand for social amenities. Schools fill up, clinics become overcrowded, and community facilities struggle to serve expanding communities. In a metro adding tens of thousands of residents annually, the spatial planning of amenities needs to anticipate growth rather than respond to it after the fact.

Open the State of Social Amenities dashboard.

Look for the number and types of schools, health facilities, and community infrastructure across Ekurhuleni, as a starting orientation.

Questions to consider:

• Are social amenities spatially distributed across areas of population growth, or are they concentrated in historically better-served parts of the metro?
• What is the teacher-to-child ratio in Ekurhuleni’s more densely populated, poorer areas?
• Given the age structure of Ekurhuleni’s population, with a large child and working-age cohort, are schools and primary health care facilities keeping pace with demand? As the population ages over the coming decades, are long-term care facilities and elderly services being factored into amenity planning?