Mobile Subscriptions per 100 People: Where Connectivity Is Most Dense

Why This Matters Now

Numbers matter most when they change your next decision. This update is built for readers who want signal, not noise: what moved, how much, and what to watch next.

For this story, we tracked mobile network penetration depth and focused on one practical question: what should a normal reader do differently after seeing this trend?

Mobile Cellular Subscriptions (per 100 people)

Unit: per 100

Protected payload

What The Data Is Saying

  • Top result in this snapshot: Japan at 178.43 per 100.
  • Lowest result in this snapshot: India at 80.56 per 100.
  • Average level across all entries: 121.67 per 100.
  • Spread from top to bottom is 97.87 per 100.
  • For comparison snapshots, rank gaps usually matter more than one decimal place.

Same Data, Multiple Views

Use the chart for pattern recognition, then use the table and KPI blocks for exact values and ranking.

Latest 80.56 per 100 India
Average 121.67 per 100 Across visible points
Trend Down -97.87 per 100 start to latest
Range 178.43 per 100 Low: 80.56 per 100
Rank Label Value
1 Japan 178.43 per 100
2 China 128.25 per 100
3 Indonesia 125.24 per 100
4 Germany 124.66 per 100
5 United Kingdom 122.80 per 100
6 United States 112.41 per 100
7 Brazil 101.02 per 100
8 India 80.56 per 100

Source: World Bank Open Data

Practical Interpretation (Without Jargon)

If you only remember one rule, keep this one: trend beats headline. A single dramatic point can be emotional noise. A sequence tells you whether pressure is actually building, easing, or just oscillating.

When the sequence is rising, plan with a margin of safety. When it is easing, avoid over-correcting too early. When it is range-bound, optimize execution and consistency instead of making drastic directional bets.

For cross-country or cross-segment snapshots, watch the gap structure: if leaders and laggards are far apart, broad one-size decisions usually fail.

Decision Checklist

  1. Compare the latest point with the average before reacting.
  2. Identify whether momentum is accelerating or fading in the most recent 3 points.
  3. Match your decision horizon to the data frequency (daily, monthly, yearly).
  4. Re-check this metric in 2-4 weeks to validate the direction.

Source and Method Transparency

Source: World Bank Open Data. We pull the latest publicly available values, remove empty points, and keep the chart/table scales consistent so comparisons stay honest.

Primary source: World Bank Open Data

Technical note: Latest annual values from World Bank indicator IT.CEL.SETS.P2.

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Community Question

What does this trend change for you in the next 30 days: spending, pricing, investing, hiring, or no change?

Which metric should NStats break down next week?

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FAQ

I am not a data analyst. What is the fastest way to read this?

Start with latest vs average, then check direction across the full period. If both point the same way, that trend is usually more reliable than a one-month surprise.

Can this chart be used for forecasts?

Use it as a decision signal, not a standalone forecast. Pair this with your timeline, risk tolerance, and one additional data source before acting.

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