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Base and Projected Age Distributions in Kenya (2020-2035, Annual Increments)

Source: R/pop1.R
pop1.Rd

This dataset provides base and projected population distributions by county, age group, gender, and year for Kenya from 2020 to 2035 in annual increments. It includes population estimates derived from the 2019 Kenya Population and Housing Census and subsequent projections by the Kenya National Bureau of Statistics (KNBS).

Usage

pop1

Format

A data frame with 41,472 rows and 5 variables:

county

Name of the county in Kenya

age

Age group in 5-year intervals (e.g., "0-4", "5-9", ..., "80+")

year

Year of the population estimate

gender

Gender category ("Male", "Female", or "Total")

pop

Estimated population for the specified county, age group, gender, and year

Source

Kenya National Bureau of Statistics (2023). 2019 Kenya Population and Housing Census Analytical Report on Population Projections. Retrieved from knbs.or.ke.

Details

The pop1 dataset can be used to analyse demographic trends, plan resource allocation, and study population dynamics in Kenya over the specified years. The projections take into account factors such as fertility rates, mortality rates, and migration patterns. The age groups are provided in 5-year intervals, and the population estimates are updated annually from 2020 to 2035.

pop is kept at the full decimal precision published by KNBS (these are cohort-component projections, not rounded head counts); round it yourself if whole-person figures are needed.

Note:

  • The "Total" gender category represents the combined population of both males and females.

  • The "All Ages" age category represents the combined ages of all age groups.

Examples

data(pop1)
head(pop1)
#> # A tibble: 6 × 5
#>   county age    year gender      pop
#>   <fct>  <fct> <int> <fct>     <dbl>
#> 1 Kenya  0-4    2020 Male   3123737 
#> 2 Kenya  0-4    2020 Female 3156282 
#> 3 Kenya  0-4    2020 Total  6280019 
#> 4 Kenya  0-4    2021 Male   3143314.
#> 5 Kenya  0-4    2021 Female 3147353.
#> 6 Kenya  0-4    2021 Total  6290667.
summary(pop1)
#>              county           age             year         gender     
#>  Baringo        :  864   0-4    : 2304   Min.   :2020   Female:13824  
#>  Bomet          :  864   5-9    : 2304   1st Qu.:2024   Male  :13824  
#>  Bungoma        :  864   10-14  : 2304   Median :2028   Total :13824  
#>  Busia          :  864   15-19  : 2304   Mean   :2028                 
#>  Elgeyo-Marakwet:  864   20-24  : 2304   3rd Qu.:2031                 
#>  Embu           :  864   25-29  : 2304   Max.   :2035                 
#>  (Other)        :36288   (Other):27648                                
#>       pop          
#>  Min.   :     386  
#>  1st Qu.:   10995  
#>  Median :   32641  
#>  Mean   :  171423  
#>  3rd Qu.:   73371  
#>  Max.   :62164808  
#>                    

# Example: Plotting the population distribution for Nairobi County in 2020
if (requireNamespace("ggplot2", quietly = TRUE) &&
    requireNamespace("dplyr", quietly = TRUE)) {
  library(ggplot2)
  library(dplyr)
  kenya_2020 <- pop1 %>%
    filter(county == "Nairobi City", year == 2020, gender == "Total", age != 'All Ages')
  ggplot(kenya_2020, aes(x = age, y = pop)) +
    geom_bar(stat = "identity") +
    labs(
      title = "Population Distribution in Nairobi County (2020)",
      x = "Age Group",
      y = "Population"
    ) +
    theme_minimal()
}