Tuesday, September 1, 2026
Via News Knowledge File

Social Security Administration

government agency80% conf.·synced Aug 13, 2026

U.S. federal agency that administers Social Security retirement and disability benefits

60
sourced metrics
226
relationships
20
stated objectives
3
Via News reports

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Key metrics · each point sourced

Benefit Coverage After Depletion
81percent
Jan 1, 2034source
Benefit Payment Rate
77percent
Jan 1, 2033source
Projected Benefit Reduction
24percent
Jan 1, 2032source
Buying Power Loss
14percent
Aug 9, 2026source
Maximum Claiming Strategy Bonus
23760USD
Jul 13, 2026source
Full Retirement Age
67years
Jul 13, 2026source
Recommended Safe Withdrawal Rate
4percent
Jul 13, 2026source
Delayed Retirement Credit Rate
8percent
Jul 13, 2026source
Household Savings Rate
4percent
Jun 15, 2026source
Benefit Payable After Depletion
78percent
Jun 9, 2026source
Benefit Increase From Delaying Claim 62 To 67
43percent
May 1, 2026source
Market Share
62percent_retirees_citing_as_major_income_source
May 1, 2026source
Back Payment Coverage Months
28months
May 1, 2026source
Social Security Taxability Threshold Single
25000USD
Apr 26, 2026source
Social Security 85pct Taxable Threshold Single
34000USD
Apr 26, 2026source
Funding Deficit
169000000000USD
Mar 28, 2026source
Retired Worker Beneficiaries
54.1USD
Mar 1, 2026source
Average Retired Worker Benefit
2079.49USD
Mar 1, 2026source

Stated objectives

Resolve Social Security shortfall before trust fund depletion through combination of higher taxes, later claiming ages, means testing benefits, and/or changes to benefit formula

source
by 2032-01-01 00:00:00stated

Maintain Social Security solvency; program currently projected to deplete by Q4 2032 without reform

source
by 2032-10-01 00:00:00stated

Maintain solvency of Social Security trust fund

source
stated

Encourage retirement at full retirement age to receive full benefits

source
target: 67 years for those born in 1960 or later stated

Maintain full benefit payments without trust fund depletion

source
target: 100% benefit payment rate stated

Prevent loss of purchasing power for Social Security recipients by adjusting benefits to match inflation

source
stated

Strengthen Social Security's foundation for current and future beneficiaries

source
stated

Prevent Social Security insolvency expected in 2035

source
by 2035-01-01 00:00:00stated

Close the gap in Social Security trust fund through retirement age increase, benefit caps for high-income households, or immigration expansion

source
stated

Avoid depletion of Social Security trust fund through major reforms

source
target: maintain solvency by 2032-01-01 00:00:00stated

Relationship graph · 226 connections

regulates
73
Covered by
19
Customer of
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located in
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Built on
9
governs
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subsidiary of
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Supplies to
7

Via News coverage

This Knowledge File is assembled from Via News's source-traceable knowledge graph. Metrics, objectives and relationships are extracted from primary and credible secondary documents and refreshed on a schedule. Read our methodology →
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A dense cluster of funding rounds landing on 2026-08-28 — from identity/fraud fintech player Socure ($156M plus its acquisition of Fravity) to enterprise AI agent startups (Instinct, Generalist AI, Owner), model infrastructure (Stability AI, Emerald AI), and autonomous logistics/aerospace (Gatik, Regent Craft) — signals investors are rotating aggressively into AI-native companies with demonstrable ROI, especially in financial risk/compliance and back-office automation. Parallel signals (Multiverse Computing's compression benchmarks cutting inference cost/latency, and Arkestro/CloneOps.ai publishing hard savings and labor-displacement figures) suggest the funding is chasing efficiency and measurable economic impact rather than pure model scale.
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Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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