On 18 August 2026, Zambia's Electoral Commission declared President Hakainde Hichilema the winner of a second term with 60.49% of the vote, ahead of opposition candidate Brian Mundubile. It was, on paper, a landslide.
Under the surface, the campaign had been fought on a much narrower question. Zambia's economy — measured the way economists usually measure it — has recovered strongly from the 2020 shock. GDP is growing again at close to 4% per year. Copper output is back above 820,000 tonnes. Inflation, having spiked in 2024, has stabilised. Reserves are higher than they were five years ago.
And yet a very large share of Zambian households will tell you that they don't feel it. The Zambian Economist put the point most cleanly in an essay this month that drew on our subnational data: "macroeconomic stabilisation and household prosperity are related but not the same thing."
Our data shows exactly how far apart they have moved. The gap between Zambia's national economic recovery and Zambia's household income structure is not a rhetorical talking point. It is measurable — at the national level, and city by city — and it explains almost everything about the 2026 election result.
In the press: Pan Africa Data city-level income figures were cited in The Zambian Economist (15 August 2026), in an essay on the economic question underlying the 2026 election.
The macro recovery is real
Zambia's national numbers have moved in the right direction for four consecutive years:
| Indicator | 2020 | 2024 | 2025 |
|---|---|---|---|
| Real GDP growth | -2.8% | 3.8% | 3.8% |
| GDP per capita (USD) | $952 | $1,187 | $1,321 |
| GDP per capita (PPP, 2021 int'l $) | $3,392 | $3,708 | — |
| Inflation | 15.7% | 15.0% | 13.9% |
| Population (millions) | 19.1 | 21.3 | 21.9 |
The pandemic recession is over. Copper is doing what copper does. External debt has been restructured. On the headline metrics, Zambia's economy in 2026 looks materially healthier than it did five years ago.
The household data has barely moved
Underneath, the picture is very different. Our national income class distribution — the share of the Zambian population that sits in each of five income brackets — has been essentially flat for fifteen years. Under President Lungu's second term. Through the 2020 crisis. Through Hichilema's first term. Through the copper price recovery.
The share of Zambian households at middle-class income or above stood at 11.6% in 2010. In 2025 it is 10.2%. By 2030, on our current model, it recovers to 11.8% — back to where it was fifteen years earlier. The Gini coefficient over the same period barely moves either, sitting between 51.5 and 52.1 — one of Africa's highest.
What has changed is the composition of the marginalised share. In 2010, 78.4% of Zambian households sat in the marginalised bracket. In 2021 that figure rose to 81.0%. It sits at 80.4% today, and our model projects a fall back to 78.0% by 2030. The tail is thickening and thinning; the middle is essentially standing still.
This is the growth-income gap in one sentence: Zambia's economy has grown faster than its middle class has grown.
The city view: Lusaka vs Kitwe
The national number hides an enormous urban gap. Lusaka, the capital, has built a genuine middle class. Kitwe, the copper-belt city, has not.
| City | Population (2025) | Middle-class+ share | Middle-class households | By 2030 |
|---|---|---|---|---|
| Lusaka | 3.51M | 24.0% | 203,651 | 268,304 (+64K, +32%) |
| Kitwe | 679K | 13.8% | 22,479 | 28,079 (+6K, +25%) |
| Ndola | 535K | 12.9% | 16,514 | 20,716 |
| Kabwe | 268K | 8.4% | 5,337 | 7,445 |
| Livingstone | 204K | 10.7% | 5,223 | 6,891 |
Lusaka has roughly nine middle-class households for every one in Kitwe. That ratio widens through the decade. In a country of just 22 million people, the middle class is a Lusaka phenomenon — with a small satellite in Kitwe and Ndola on the copper belt, and thin threads elsewhere. And Lusaka itself, at 24% middle-class-or-above, sits well below where you'd expect a capital city with the country's political and financial establishment.
This is what the 2026 election was really about. Voters in Lusaka experienced a slow, uneven improvement — 24% of the city's households are middle-class in 2025, on track to hit 27% by 2030. Voters in the copper belt experienced almost none of the recovery — Kitwe's middle-class share sits at 13.8% and rises only to 15.9% by 2030. The macro recovery landed differently on the map.
Why household income growth lags GDP growth
The transmission from national economic recovery to household income is slow in every country, but in Zambia several structural features widen the gap:
Copper-heavy growth
A large share of Zambia's GDP recovery has come from the copper sector, which employs a small share of the labour force. When copper output rebounds, GDP rebounds; household incomes across the country's non-copper workforce do not, at least not directly.
Currency and inflation drag
Inflation ran in double digits from 2020 through 2024, and food inflation ran higher still. Real household incomes lost ground even where nominal wages rose. GDP-per-capita measured in USD or PPP grows faster than what most households actually experience.
The urban-rural split
Zambia is still only 46% urban and rural households make up a majority of the country. Where GDP growth is concentrated in urban services, mining, and finance, most of the recovery bypasses rural households entirely.
High baseline inequality
Zambia's Gini of 51.5 means growth that flows to the top-decile has a modest effect on the middle. A country with a lower Gini would see the same GDP recovery reflected in a larger middle-class expansion. Zambia's structure blunts it.
What Hichilema's second term will be measured on
The first Hichilema term was measured on macro stabilisation — debt restructuring, an IMF programme, currency, copper. On all of those, the record is strong.
The second term will be measured on whether the recovery finally reaches Zambian households. Our model projects the middle-class share rising modestly through 2030 — from 10.2% to 11.8% — with Lusaka doing most of the work and Kitwe barely moving. That is the baseline. The political question is whether policy can accelerate it.
The country-level Gini and the national GDP growth rate will not tell you whether it has. The subnational income distribution — city by city, class by class — will.
Why we built this
Pan Africa Data has constructed income distribution data across three geographic layers — national, city and locality/suburb (2,044 localities of 50,000 people or more across 49 African countries) — covering population share, population count, income bounds and Gini coefficients across five income classes, in three currencies, with forecasts to 2035.
The growth-income gap is not unique to Zambia. Angola, Ghana, Kenya, Nigeria and every other African country with commodity concentration and high baseline inequality faces some version of it. Our data lets you see, for each of those countries, whether GDP growth is landing in the middle class or bypassing it — city by city.
City & locality income data across 49 African countries
Income distribution across three layers — national, city, and 2,044 localities/suburbs — in 49 African countries. Five income classes, three currencies, forecasts to 2035.
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