Country lens
Total score
84.0
Access & infrastructure
81.4
Affordability
—
Governance & policy
83.8
Skills & capacity
89.1
How to interpret
United States scores 84.0/100 under Governance-first for 2019. Confidence is medium based on data coverage.
Strongest area: Skills & capacity. Biggest gap: Access & infrastructure. Top driver: Secure Internet servers (per 1M 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.
United States (USA)
Access & infrastructure
Affordability
Governance & policy
Skills & capacity
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
Secure Internet servers (per 1M people)
Value: 123268.08312533 (per 1M) · Vs median: +99.6
Rule of Law (estimate)
Value: 1.4241726398468 (estimate) · Vs median: +43.8
Government Effectiveness (estimate)
Value: 1.45341503620148 (estimate) · Vs median: +42.8
Control of Corruption (estimate)
Value: 1.18035709857941 (estimate) · Vs median: +37.9
Biggest constraints
Mobile cellular subscriptions (per 100 people)
Value: 105.321 (per 100) · Vs median: -2.7
Access to electricity (% of population)
Value: 100 (%) · Vs median: +0.1
Proportion of secondary schools with access to computers for pedagogical purposes (%)
Value: 100 (%) · Vs median: +1.2
Gross enrolment ratio, secondary, both sexes (%)
Value: 100.063430786133 (%) · Vs median: +3.8
Exact weights (normalized)
Custom score
—
Computed client-side from normalized indicator values (strict mode).
Top drivers
Biggest constraints
| Country | Score | Δ vs USA |
|---|---|---|
Canada CAN | 85.4 | +1.4 |
Bermuda BMU | 69.5 | -14.6 |
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.ZS2019 | 89.43(%) | 89 | |
Fixed broadband subscriptions (per 100 people) IT.NET.BBND.P22019 | 33.84(per 100) | 72 | |
Mobile cellular subscriptions (per 100 people) IT.CEL.SETS.P22019 | 105.32(per 100) | 46 | |
Secure Internet servers (per 1M people) IT.NET.SECR.P62019 | 123268.08(per 1M) | 100 | |
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.