Here is my data google sheet

(pl click on the link; dataset is given therein)

What the data contains (rows & columns)

• Rows: each row represents a single country. There are 195 rows (so ~195 countries/territories).

• Columns (in simple words):

  1. Country Name — the country’s full name (text).

  2. Country Code — 3-letter country code (text).

  3. Birth rate — numeric. Based on the values (min ≈ 7.9, max ≈ 49.66, mean ≈ 21.47), this looks like a crude birth rate measure (i.e., births per 1,000 people) or a similarly scaled birth metric.

  4. Internet users — numeric. Values run from about 0.9 up to 96.55 with a mean ≈ 42.08 — this reads like percentage of population who use the Internet.

  5. Income Group — categorical labels (four groups present): High income, Upper middle income, Lower middle income, Low income. No missing values in any column.

  6. Internet users: min ≈ 0.9%, median 41%, max ≈ 96.55%, mean ≈ 42.08%.

  7. Birth rate: min ≈ 7.9, median 19.68, max ≈ 49.66, mean ≈ 21.47.

  8. No missing values in the columns.

Most interesting observation I found

There is a strong negative relationship between birth rate and internet penetration in this dataset:

• The Pearson correlation between Birth rate and Internet users is −0.816 (strongly negative)

• When we split by Income Group the pattern is clear:

  • High income countries (67 entries): average Internet users ≈ 74.23%, average Birth rate ≈ 12.75.

  • Upper middle income (48): avg Internet ≈ 40.28%, avg Birth rate ≈ 18.74.

  • Lower middle income (50): avg Internet ≈ 22.37%, avg Birth rate ≈ 26.31.

  • Low income (30): avg Internet ≈ 5.99%, avg Birth rate ≈ 37.24.

Wealthier countries in this dataset tend to have much higher internet penetration and substantially lower birth rates Lower-income countries have low internet use and much higher birth rates. 

This is consistent with the demographic transition (due to education, access to information/healthcare, urbanization and economic development all correlate with internet access) are associated with falling fertility.

Other observations:

• About 34% of countries in the world are classified as high-income (67 out of 195).
  
  

• Roughly 15% of countries are low-income (30 out of 195).
  
  

• Nearly half of all countries (≈50%) fall in the middle-income range (lower-middle + upper-middle = 98 countries).
  
  

• Upper-middle-income countries alone make up about 25% of the global country count.
  
  

• Lower-middle-income countries account for another 26%, making them the single largest group.
  
  

• Only about 1 in 7 countries has average internet usage below 10%, and most of them are low-income.
  
  

• Over one-third of countries have average internet usage above 60%, concentrated almost entirely in high-income economies.
  
  

• More than 40% of countries have birth rates above 25, predominantly outside the high-income group.
  
  

• No low-income country appears among the top internet-using countries, highlighting a strong digital divide.
  
  

• High-income countries represent just one-third of nations but account for the majority of global digital connectivity.