City Demand Risk Index – Saudi Arabia

Executive Summary

Composite Demand Pressure Risk & Pricing Action Pressure by city — ranked highest to lowest risk

⚡ AI WEEKLY SUMMARY

Demand Pressure Risk — Factor Breakdown

✓ GASTAT ~ Google Trends ~ GDELT ◎ Proxy Models ⚠ Some metrics estimated from regional data

City Comparison

Side-by-side across all risk dimensions with pricing stance recommendation

Radar Chart — Risk Dimensions by City

Sub-score Comparison Matrix

Affordability & Cost of Living

Grocery, restaurant, housing and essential basket trends — compared vs Riyadh baseline

Grocery Price Index vs Riyadh Baseline

GASTAT CPISAMACity-level estimated

Restaurant Price Index Trend

Google MapsProxy

Essential Basket Cost — Monthly Trend (SAR, estimated)

KAPSARCProxy model

City vs Riyadh Baseline — Affordability Gap

Jobs & Income Pressure

Labour market signals, hiring proxies, sector exposure, and project dependency risk

NEOM Project Dependency Risk — Tabuk Focus

⚠ Sentiment-derived estimate. Not a prediction engine.

News Volume (30d)

Sentiment Breakdown

Google Search Trend — Job-related Terms

Search interest index for: وظائف، راتب، إيجار، عروض رخيصة (Jobs, salary, rent, cheap offers)

Google Trends (KSA regions)

Sector Exposure by City

Sentiment & Trending Topics

What people are talking about, what they're worried about, and what it means for spending

⚡ AI SENTIMENT SYNTHESIS

Discretionary Spending Pressure

Proxy index for disposable income pressure — consumer spending health by city

Discretionary Spending Proxy — All Cities

POS proxiesSAMA payment dataFootfall proxiesComposite proxy

Business Impact Lens

Translating external signals into direct commercial implications for leisure & entertainment

Scenario Simulator

Stress-test assumptions and see how scores and recommendations change

Scenario Mode Active

Shock Assumptions

Weight Settings

Adjust the relative importance of each factor in the composite score

Scenario Impact on Scores

Recommendation Engine

Commercial decision notes per city — what changed, what it means, what to do

⚡ AI-POWERED RECOMMENDATIONS

Early Warning Alerts

Triggered when signals cross risk thresholds — requires human review before action

Methodology & Source Registry

How scores are calculated, data sources, confidence levels, and important caveats

Scoring Model

Source Registry

City Logic

Caveats

Composite Score Construction

Dimension	Weight	Sub-indicators	Data Type
Affordability Pressure	25%	Grocery CPI, restaurant index, essential basket, rent proxy	Official Estimated
Jobs / Income Pressure	20%	Unemployment trend, hiring proxy, job search volume, sector dependency	Official Proxy
Sentiment / Discussion	15%	GDELT tone, topic volume, negative keyword intensity	Proxy
Project Dependency	15%	Mega-project news volume, contractor activity, hiring/layoff sentiment	Proxy
Discretionary Spending	15%	POS proxies, leisure footfall, search for discounts/cheap	Proxy
Tourism / Visitor Support	10%	Visitor arrivals proxy, hotel occupancy proxy, attraction demand	Estimated

Score-to-Decision Translation Logic

Score Range	Risk Level	Pricing Guidance
0–24	Low Risk	Hold pricing. Optimize product mix. No broad discounting.
25–49	Mild Risk	Tactical off-peak offers. Bundles. Entry products. Monitor closely.
50–74	Elevated Risk	Value architecture. Entry price products. City-specific offers. No lead price cuts yet.
75–100	High Risk	Targeted price action. Protect premium. Prioritize weekday activation and bundles.

City Demand Risk Index — Saudi Arabia