Guinea vs High income: Rural population growth (annual %)
Guinea
1.6%
in 2025
High income
-0.2%
in 2025
Guinea rank
35th
High income rank
34th
Rural population growth (annual %) over time
- Guinea
- High income
How they compare
Guinea currently reports 1.6% against -0.2% in High income, a difference of 1.8%.
That makes Guinea's figure about 8.9 times High income's.
Across all 65 years both countries report, Guinea has been ahead every year.
Guinea ranks 35th and High income ranks 34th of 210 countries.
Guinea has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Guinea | High income | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 1.0% | -0.6% | 1.6% | Guinea |
| 1970s | 0.7% | -0.4% | 1.1% | Guinea |
| 1980s | 1.7% | -0.3% | 2.1% | Guinea |
| 1990s | 2.5% | -0.2% | 2.7% | Guinea |
| 2000s | 1.6% | -0.7% | 2.3% | Guinea |
| 2010s | 2.1% | 0.0% | 2.1% | Guinea |
| 2020s | 1.8% | -0.1% | 1.9% | Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher rural population growth, Guinea or High income?
- Guinea, at 1.6% against -0.2% in High income as of 2025.
- What is the difference in rural population growth between Guinea and High income?
- 1.8%, with Guinea ahead.
- How many years of comparable data are there for Guinea and High income?
- 65 years are reported by both, from 1961 to 2025.
- How do Guinea and High income rank globally for rural population growth?
- Guinea ranks 35th and High income ranks 34th of 210 countries.
- Where does this data come from?
- World Urbanization Prospects, United Nations (UN), published as Rural population growth (annual %). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Annual rural population growth rate for year t is the exponential rate of growth of midyear rural population from year t-1 to t, expressed as a percentage. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.