U.S. Cost Pressure by Location

Burden • Change • Offset

Essential Inflation PressureCountyNC

Cumberland County Essential Inflation Pressure

Tracks pressure on unavoidable essentials by combining burden and acceleration proxies.

Pressure Snapshot

Latest Essential Inflation Pressure Signals

2024-12-31

Scale direction: Sustainability Score 0 = highest pressure, 100 = lowest pressure. Pressure Score 0 = low pressure, 100 = high pressure.

Component Pressure Score

80

High Pressure

Higher is worse (more pressure)

Trend

Stable

Overall Sustainability Score

33

High Pressure

Scale: 0 = highest pressure, 100 = lowest pressure

Burden Pressure Score

94

High Pressure

Change Pressure Score

57

Elevated

Offset Strength Score

N/A

Insufficient Data

Essential burden proxy (gross rent to income) is 23.9% with 1.4% year-over-year movement.

Window: 2023 to 2024 • Higher component score = higher pressure

In Cumberland County, Essential Inflation Pressure scores 80 and is stable in the latest window. This is the 2nd highest pressure component locally.

Compared with North Carolina, this component is 6.7 points higher (more pressure).

Current top pressure drivers in Cumberland County are Utility Pressure (82, increasing) and Essential Inflation Pressure (80, stable).

Component Pressure Score

The pressure level for this topic only. Higher means worse pressure in this location.

Trend

The direction this pressure is moving: increasing, stable, or decreasing.

Burden Score

How heavy the cost load is right now, before considering whether it is accelerating.

Change Score

How quickly pressure is rising or easing versus the prior period.

Offset Score

How much local income growth helps absorb pressure. Higher offset means stronger cushion.

Overall Sustainability Score

Net sustainability score for the full model. Higher is better and means lower overall pressure.

Related Components

Other Pressure Pages For Cumberland County

Research Path

Continue From Essential Inflation Pressure

Compare this component page against the full location profile and then expand to peer geographies to verify whether this pressure pattern is local, county-wide, state-wide, or broader.