COMPENSATION

Cost of Living and Employee Pay in Africa

What price levels across 52 economies mean for how you set salaries, allowances and pay.

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World Bank & IMF data · 2024 · all values in US$

34.8

Average price level (US=100). Pay stretches about three times further than in the United States

Sao Tome & Principe

Most expensive market, index 55.9. Salaries must be largest here

Nigeria

Cheapest market, index 11.9. Dollar pay goes furthest, local pay under pressure

4.7x

Pay gap between the most and least expensive markets

The pay question

Why one number on a contract does not mean the same thing in two countries

For any organisation paying people in more than one African market, a single question sits under every salary decision. How large must pay be in each place for an employee to enjoy the same standard of living, and how should it move as prices, currencies and inflation change. This report answers that with official data, read through the Price Level Index, which compares the cost of the same basket of goods and services in each country against the United States set to one hundred. Read it as a pay benchmark. A country at forty is a place where a salary converted to dollars buys what only forty dollars buys in the United States. A higher score means pay must be larger to hold the same standard of living.

Pay stretches ~3x further
The continental average price level is 34.8, so a dollar salary buys far more across most of Africa than in the United States.

One scale cannot fit all
Living costs in Sao Tome & Principe are about 4.7 times those in Nigeria. A single pay scale would overpay one and underpay the other.

Weak currencies cut both ways
In the cheapest markets a dollar budget goes far, but local pay has lost real value, which is the central retention risk.

Inflation erodes pay yearly
Several markets saw prices rise near or above 30 percent in 2024, cutting the real value of any fixed salary.

Salary equivalence calculator

Match a standard of living when you move pay between countries

Enter a salary and two locations. The calculator scales the salary by the ratio of price levels, so the result is the pay needed in the host location to preserve the same standard of living. It is the practical core of a cost of living allowance, built on national average prices.

Annual salary (US$)

Home location (where the salary works today)

Host location (where the employee is moving)

$83,704

is the salary needed in Seychelles to match a $50,000 standard of living in Kenya.

That is $33,704 (67%) more than today.

Kenya (home)

$50,000

Seychelles (needed)

$83,704

Based on national average price levels. Actual allowances should also reflect city versus rural differences, housing, schooling and the currency the salary is paid in.

Every country, ranked

All 52 economies. Higher means pay must stretch further to hold living standards

Sort by

Colour shows region. Hover any bar for the full pay profile. Source: author's calculation from World Bank data, 2024.

The affordability map

Cost of living against income. Bubble size shows inflation

Where prices outrun incomes, pay must do more. The four quadrants each carry a different pay implication. Hover any bubble for the detail; click a region in the legend to isolate it.

Costly and prosperous
High pay and high prices sit together. Competitive salaries are simply expensive here.

Costly but poor
High prices, low incomes. Pay often must exceed the local norm, and hardship counts.

Affordable and prosperous
Reasonable incomes, middling prices. Conventional benchmarking works well.

Cheap but poor
Low dollar prices reflect weak currencies. Pay set on the exchange rate alone leaves staff exposed.

Regional pay differentials

A defensible starting point for pay zones

Central Africa is the costliest region and West Africa the cheapest. Use regions to budget and to design broad pay zones, but set each salary from the individual country, since a single region can hold both a costly and a cheap extreme.

Where fixed pay erodes fastest

Inflation is the quiet pay cut

A salary left unchanged loses value as prices rise. In the markets below an annual review is the minimum needed to stop real pay sliding, and mid year adjustments may be required for critical roles.

A remuneration playbook for Africa

Six rules drawn from the data

Benchmark to local cost

Compare roles like for like using the index, so you neither overpay in cheap markets nor underpay in expensive ones.

Size allowances from the index gap

The change in living cost on a move equals the gap between the two countries' index values. The calculator above does this for you.

Choose the currency of pay on purpose

Local currency pay erodes where the currency is falling; dollarised markets keep employment a stable dollar cost. Decide who carries the risk.

Add hardship and adequacy premiums

In costly but poor markets, median pay may not deliver a decent life. Be ready to pay above the norm.

Match review cadence to inflation

Where prices rise fastest, review more than once a year and protect critical roles first.

Budget by region, decide by country

Build the budget from the region, set the salary from the country.

Full data table

Search, sort, and download

dollar pay goes furthestmid to highpay must be largest

# ▲	Country	Region	Price level	Income US$	Inflation
1	Sao Tome & Principe	Central Africa	55.9	3,491	14.3%
2	Seychelles	East Africa	53.7	17,859	0.3%
3	Sudan	North Africa	46.5	985	n/a
4	Cabo Verde	West Africa	46.4	5,193	1.1%
5	Libya	North Africa	45.9	6,569	n/a
6	Liberia	West Africa	45.5	852	8.2%
7	Djibouti	East Africa	45.5	3,553	2.1%
8	Zimbabwe	Southern Africa	42.1	2,497	104.7% (2022)
9	Comoros	East Africa	42.0	1,663	5.0%
10	Central African Rep.	Central Africa	40.9	516	1.5%
11	South Africa	Southern Africa	40.5	6,267	4.4%
12	Morocco	North Africa	39.9	4,153	1.0%
13	Somalia	East Africa	39.3	630	n/a
14	Mozambique	Southern Africa	38.5	657	4.1%
15	Equatorial Guinea	Central Africa	38.4	6,745	2.9%
16	Gabon	Central Africa	38.3	8,230	1.2%
17	Namibia	Southern Africa	37.8	4,413	4.2%
18	Mauritius	East Africa	37.7	11,991	3.6%
19	Botswana	Southern Africa	37.5	7,696	2.8%
20	Guinea	West Africa	37.1	1,695	8.1%
21	Niger	West Africa	35.9	735	9.1%
22	Congo, Dem. Rep.	Central Africa	35.7	649	2.9% (2016)
23	Cote d'Ivoire	West Africa	35.6	2,728	3.5%
24	Congo, Rep.	Central Africa	35.3	2,482	3.1%
25	Chad	Central Africa	35.1	962	8.9%
26	Senegal	West Africa	35.0	1,773	0.8%
27	Ethiopia	East Africa	34.5	1,134	21.0%
28	Burkina Faso	West Africa	33.9	982	4.2%
29	Benin	West Africa	33.5	1,485	1.2%
30	Togo	West Africa	33.3	1,119	2.9%
31	Eswatini	Southern Africa	33.1	3,910	2.6% (2019)
32	Mali	West Africa	33.0	1,095	3.2%
33	Uganda	East Africa	32.9	1,078	3.3%
34	Cameroon	Central Africa	32.7	1,830	4.5%
35	Algeria	North Africa	32.6	5,753	4.0%
36	Lesotho	Southern Africa	32.4	972	6.1%
37	Guinea-Bissau	West Africa	32.3	1,008	3.8%
38	Kenya	East Africa	32.1	2,132	4.5%
39	Ghana	West Africa	29.8	2,391	22.9%
40	Madagascar	East Africa	28.9	545	7.6%
41	Tunisia	North Africa	28.8	4,181	7.2%
42	Mauritania	West Africa	28.6	2,110	2.5%
43	Zambia	Southern Africa	28.2	1,187	15.0%
44	Malawi	Southern Africa	28.1	523	32.2%
45	Tanzania	East Africa	28.1	1,187	3.1%
46	Rwanda	East Africa	26.9	1,000	1.8%
47	Angola	Southern Africa	26.3	2,666	28.2%
48	Gambia	West Africa	25.1	871	11.6%
49	Sierra Leone	West Africa	22.9	807	28.6%
50	Burundi	East Africa	18.4	219	20.2%
51	Egypt	North Africa	17.5	3,339	28.3%
52	Nigeria	West Africa	11.9	1,084	33.2%

Method. Price Level Index = gross domestic product per person in United States dollars divided by gross domestic product per person at purchasing power parity, multiplied by one hundred, World Bank data for 2024, from the International Comparison Program led by the World Bank with the International Monetary Fund. The figures are the latest official actual data, since 2025 actuals are not yet published. The index is a national average and moves with exchange rates, so refresh benchmarks as currencies shift. A low score should never be read as a reason to hold local pay down. Eritrea and South Sudan are excluded for lack of data.

Sources. World Bank Open Data (NY.GDP.PCAP.CD, NY.GDP.PCAP.PP.CD, FP.CPI.TOTL.ZG); World Bank and International Monetary Fund International Comparison Program; International Monetary Fund World Economic Outlook; Mercer Cost of Living City Ranking 2024 (methodological reference); African Development Bank, African Economic Outlook.

Notice. Prepared by Industrial Psychology Consultants (Pvt) Ltd to support remuneration decisions. Data from official agencies believed reliable but not independently guaranteed. General guidance, not a substitute for a tailored salary survey, and not financial, investment, tax or legal advice. | 170 Arcturus Road, Highlands, Harare, Zimbabwe | www.ipcconsultants.com

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