Country lens
Total score
64.3
Access & infrastructure
57.2
Affordability
—
Governance & policy
77.1
Skills & capacity
—
How to interpret
Bermuda scores 64.3/100 under Infrastructure-first for 2019. Confidence is medium based on data coverage. Some inputs are lagged (oldest value year: 2013). See “Recency & risk”.
Strongest area: Governance & policy. Biggest gap: Access & infrastructure. Top driver: Fixed broadband subscriptions (per 100 people); biggest constraint: Mobile cellular subscriptions (per 100 people).
Data freshness & traceability
“Ingest” is when PathLens last loaded raw values. “Value year” is shown per indicator (and may be older than the ingest date).
No refresh metadata available.
Recency & risk
Based on Latest ≤ year value years.
Bermuda (BMU)
Access & infrastructure
Affordability
Governance & policy
Skills & capacity
Most lagged indicators
Voice & Accountability (estimate)
VA.EST · World Bank (WGI) · value year 2013
Gross enrolment ratio, secondary, both sexes (%)
GER.2T3 · UNESCO UIS · value year 2015
These drivers/constraints are derived from the precomputed scores row (strict-year scoring). Value-year staleness flags below are based on Latest ≤ year (per-indicator value years can differ).
Top drivers
Fixed broadband subscriptions (per 100 people)
Value: 35.8775 (per 100) · Vs median: +54.9
Government Effectiveness (estimate)
Value: 1.30714297294617 (estimate) · Vs median: +38.8
Control of Corruption (estimate)
Value: 1.17618942260742 (estimate) · Vs median: +37.8
Rule of Law (estimate)
Value: 0.784174919128418 (estimate) · Vs median: +26.3
Biggest constraints
Mobile cellular subscriptions (per 100 people)
Value: 104.513 (per 100) · Vs median: -3.3
Access to electricity (% of population)
Value: 100 (%) · Vs median: +0.1
Secure Internet servers (per 1M people)
Value: 7674.66891291123 (per 1M) · Vs median: +6.6
Rule of Law (estimate)
Value: 0.784174919128418 (estimate) · Vs median: +26.3
Exact weights (normalized)
Custom score
—
Computed client-side from normalized indicator values (latest mode).
Top drivers
Biggest constraints
| Country | Score | Δ vs BMU |
|---|---|---|
Canada CAN | 79.5 | +15.2 |
United States USA | 83.1 | +18.8 |
How to read this page
Full indicator definitions, sources, and normalization rules live in Methodology.
Data sources
Tip: click any KPI row to see its provenance and jump directly to the methodology entry.
Available years
These are years where a total score was computed for this scenario. In Latest ≤ year mode, individual KPI values may come from earlier years (see “value year” on each KPI).
Coverage & effective weights
Fixed KPI set (5–8). Compact rows with trend + score; details on demand.
| KPI | Value | Trend | Score |
|---|---|---|---|
Individuals using the Internet (% of population) IT.NET.USER.ZS2017 | 98.37(%) | 100 | |
Fixed broadband subscriptions (per 100 people) IT.NET.BBND.P22019 | 35.88(per 100) | 77 | |
Mobile cellular subscriptions (per 100 people) IT.CEL.SETS.P22019 | 104.51(per 100) | 45 | |
Secure Internet servers (per 1M people) IT.NET.SECR.P62019 | 7674.67(per 1M) | 7 | |
Access to electricity (% of population) EG.ELC.ACCS.ZS2019 | 100.00(%) | 100 |
Global Findex is survey-based (not annual). In Latest ≤ 2019 mode, values may be carried forward; we always show the underlying value year.
| Metric | Value | Trend | Score |
|---|---|---|---|
Adults with an account (% age 15+) FINDEX_ACCOUNT_PCT Source: World Bank (Global Findex) · Methodology | —(%) | — | |
Adults who made/received a digital payment (% age 15+) FINDEX_DIGITAL_PAYMENT_PCT Source: World Bank (Global Findex) · Methodology | —(%) | — | |
Adults with a mobile money account (% age 15+) FINDEX_MOBILE_MONEY_PCT Source: World Bank (Global Findex) · Methodology | —(%) | — |
Trend window: 2005–2019. Sparklines are per-indicator scaled.