Orania’s Unemployment Is Below 3%: But What Can South Africa Learn From This Tiny Town’s Economic Model?

 

Labour construction in Orania

Image: SAS NEWS

With South Africa’s unemployment rate rising to 33.6% in the second quarter of 2026, leaving about 8.5 million people without work, according to Stats SA, the situation has left youth unemployment in the country in a severe critical state. This is negatively impacting the country, contributing to a drastic rise in crime and leading to the increase in fatalities we have witnessed recently. Yet, Orania, a small settlement in the Northern Cape, reports an unemployment rate below 3%, a figure that raises important questions. Our SAS News reporters conducted thorough research to find out what is creating jobs there, whether any of those lessons can travel beyond the town, and if there is anything to be learned from their economic model.

Where is Orania?

Located beside the Orange River, Orania was established as a self-governing Afrikaner-only community, where black people do not feel welcome. The controversy that has been raised concerns racial divisions, but Orania stands by its principle that every culture and town has the right to self-identity. Regardless of the backlash, its economy is shaped by a principle often described as “own labour”, where residents are encouraged to create businesses, employ one another, and spend money within the local economy. The settlement’s population was recorded at 2,377 in a census conducted in late 2021 and early 2022. The same research identified 220 businesses and 649 households. [scielo.org]

The reported unemployment figure, however, needs careful handling. Unlike South Africa’s official rate, published by Statistics South Africa through the Quarterly Labour Force Survey, Orania’s estimate has not been publicly shown to follow the same sampling, definitions, or verification process. Stats SA counts people who are without work, available to work, and actively seeking employment. It also measures discouraged work-seekers separately.

That means the two figures should not be placed side by side as though they describe identical labour markets. In a community of only a few thousand people, a small change in the number of residents seeking work can substantially affect the percentage. The estimate may also reflect Orania’s particular population structure, limited migration, and tightly connected economy.

Is the difference in population the only factor causing the economic variation?

Our reporter found that agriculture remains one of the settlement’s most visible economic foundations and is mainly practised in Orania. Irrigated farming, including pecan production, supports both direct employment and related work in transport, maintenance, processing, and retail. Construction is another important source of jobs, driven by new homes, infrastructure, and commercial development. Our reporter noticed that almost every single member of the community is available for hard labour.

A member of the community told us that employment often comes through personal networks rather than formal recruitment platforms. “People know who is looking for work, and businesses know where to find workers,” the resident said. That system may be efficient in a small settlement, although it would be much harder to reproduce in a large city.

But business owners also described the importance of local spending. One operator explained that a small enterprise depends on residents choosing local services instead of sending money elsewhere. “If people support local businesses, those businesses can employ more people,” the owner told our reporter.

Tourism, retail, manufacturing, and professional services add further employment. The result is a modest but interconnected economy in which agriculture creates demand for services, population growth supports shops and construction, and local businesses circulate money within the community. These are some of the factors that contributed to the reduction of the unemployment rate.

Our finding was that Orania’s leadership presents this economic self-reliance as a central reason for the town’s low unemployment. Independent analysis, however, points to caution. Orania’s small scale, strong social cohesion, access to land, and distinctive population profile make it unlike most South African municipalities.

Is there any lesson to learn from the unpopular town which is least favoured by most South Africans?

The useful lesson is therefore not that South Africa can simply copy Orania’s economic model, since we have already established the variation in populations. The lesson is that local economies need practical links between skills, businesses, infrastructure, and markets. Supporting small enterprises, expanding vocational training, and strengthening local supply chains could help other communities create work. The local economy must circulate among the locals and benefit the community, rather than migrating and overpopulating the big cities, leading to competition for resources and leaving small towns abandoned.

Orania’s reported figure is striking, but the real story lies beneath it. who is counted, which jobs exist, and what conditions make those jobs possible. Before policymakers copy the number, they should investigate the system behind it, what makes this model work, and if there are adjustments to be made to fit the large scale of South Africa’s population.

Our reporter discovered that the figures alone explain very little. The experience points to the importance of linking local businesses, practical skills, infrastructure, agriculture, and consumer spending, but also shows why a small, tightly organised community cannot be compared directly with South Africa as a whole. Many questions were asked, why don’t South Africa’s smaller-scale towns implement the same model before trying to grow the economy at a larger scale at once?

“Big things are small things put together” — Aliaganmuhammad.

The main challenge is to identify which of those conditions can be adapted elsewhere, without ignoring the town’s distinctive social and economic circumstances. Ultimately, the value of Orania’s example lies less in its percentage than in the questions it raises, how communities create work, how businesses are supported, and how local resources are turned into opportunity. Those questions matter far beyond the town’s borders.