🇰🇪 Population Growth Rate of Kenya

The current population growth rate of Kenya is 1.982%. A 0.1% increase from 2023, when the population growth rate only was 1.98%. In the future, Kenya's population growth rate is projected to decrease to 0.105%, by the year 2100. A total decrease of the population growth rate of Kenya by -94.7% from today's standard.

Historic Population Growth Rate of Kenya (1950-2024)

Kenya has seen a decrease in population growth rate since the 1950's.

Future Population Growth Rate of Kenya (2024-2100)

Kenya's population growth rate is projected to decrease in the future. According to the United Nation, it will drop from today's growth rate of 1.98% all the way down to 0.105% by the year 2100. The yearly downward trend is clearly visible from the charts and data below.

Why is the chart for future population growth rate mostly flat?

Predicting and projecting future population growth rate is extremely hard. Especially, the further you move into the future. Thus, the scientist and data collectors of the United Nations tend to add a flat number when reasonable projections can't be made.

Understanding Population Growth Rate: How Births, Deaths, and Migration Impact Population Size of Kenya

Population growth rate is defined as the annual average rate of change of population size, for a given country, territory, or geographic area, during a specified period. It is considered an international standard for measuring population change. The United Nations uses population growth rate as one of the key indicators for measuring population trends, and for forecasting future population size. Part of that data is used on this page to visualize and explore historic and future population growth rate over time.

What is Population Growth Rate?

Population growth rate is a measure of how quickly a population is increasing or decreasing in size over time. It is expressed as a percentage of change over a time period. Most commonly, its typically messured on a yearly basis, allowing you to evaluate percentage on year over year basis. However, population growth rate can be applied and calculated on any timeframe.

• Population growth rate is used to indicate population increase or decrease in size over time.
• It is measured as a percentage of change, from previous to current population size.
• It is often expressed as a yearly rate, but can be applied to any timeframe.
• A positive population growth rate indicates that a population is increasing.
• A negative population growth rate indicates that a population is decreasing.
• Birth rate, death rate, and migration affect the population growth rate.
• A high birth rate and low death rate will result in a high population growth rate.
• A low birth rate and high death rate will result in a low population growth rate.
• Net migration also affect the population growth rate of Kenya.
• Population growth rate is an important metric for demographic, environmental and economic forecasting.

How is Population Growth Rate calculated?

The population growth rate indicates the increase or decrease of a population in percent (%). The formula to calculate population growth rate can be used on any timeframe. In this case it indicates the population growth reate year over year, where a negative population growth rate is presented with red coloring and positive with green. The population growth rate of Kenya is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Population Growth Rate Formula

Population Growth Rate = New Population - Original Population / Original Population * 100

What Causes Population Growth Rate to Increase or Decrease?

Just like any other country or region, Kenya's population growth rate is influenced by a variety of factors that causes it to increase or decrease.

Birth Rate

The number of births per 1,000 individuals in a population over a specific period of time affects population growth. Higher birth rates contribute to population growth, while lower birth rates slow down growth.

Death Rate

The number of deaths per 1,000 individuals in a population over a specific period of time also influences population growth. Higher death rates can reduce population growth, while lower death rates contribute to growth.

Total Fertility Rate

The average number of children born to women of childbearing age is known as the total fertility rate. Higher fertility rates can lead to population growth, while lower fertility rates can result in slower growth or even population decline.

Life Expectancy

The average number of years a person is expected to live affects population growth. Higher life expectancy can result in population growth, as people live longer and contribute to the population for a greater duration.

Immigration and Emigration

Migration patterns, including immigration (inflow of individuals from other countries) and emigration (outflow of individuals to other countries), can significantly impact population growth rates. Higher immigration rates can contribute to population growth, while high emigration rates can slow down growth.

Government Policies

Government policies related to family planning, healthcare, immigration, and social welfare can also influence population growth rates. For example, policies promoting contraception and family planning can lead to lower birth rates and slower growth.

Socioeconomic Factors

Factors such as economic development, education, and urbanization can affect population growth rates. Higher levels of education and economic opportunities often correlate with lower birth rates and slower population growth.

Data Information

Data found on this page is based on the medium fertility variant of the United Nations Revision of World Population Prospects 2022.

Data Sources

The United Nations - Department of Economic and Social Affairs (Population Division)

UN Revision of World Population Prospects 2022

Data Disclaimer

People at database.earth has not verified data entry and collection processes in person. We take all open data provided by governmental and non-governmental organization at face value.

This data is the foundation for most content and visualization found on this page. If you find errors in the representation of the data, please contact us and we will correct it.

All data from sources are archived for future reference.