MYSDG-1 · REALTIME

Monitor absolute poverty and wealth inequality in real-time.

MySDG-1 Intelligence Dashboard for Malaysian government agencies to track poverty risk, analyze income paradoxes, and target aid with precision.

SNAPSHOT
2022.Q4
STATES
14
ACCURACY
99.99%
dashboard · mysdg_v1
ID-9921
SOURCE
src.b40_data
TRANSFORM
tf.gini_calc
TRANSFORM
tf.risk_score
BRANCH
br.district
TRANSFORM
tf.aid_match
TRANSFORM
tf.validate
SINK
sink.dashboard
LOG · system_status● live
09:00:01.482INFOrun_id=sabah_2022 started · region=east_malaysia
09:00:01.611INFOsrc.b40_data · 48,291 records read · 142ms
09:00:01.847INFOtf.gini_calc · ok · 210ms
09:00:02.092INFOtf.risk_score · cache hit · 198ms
09:00:02.418EXECbr.district · evaluating inequality threshold

HIGHEST POVERTY RATE

0%

Sabah records the highest absolute poverty incidence in the nation.

HIGHEST INEQUALITY

0

Sabah Gini coefficient indicates significant wealth distribution gaps.

LOWEST MEDIAN INCOME

0 RM

Kelantan reports the lowest median household income nationwide.

AT-RISK DISTRICTS

0

High-priority zones identified for immediate B40 relief intervention.

INTELLIGENCE / v2022.1

Geospatial poverty risk mapping.

Monitor absolute poverty and wealth inequality in real time. Identify high-risk states and target aid with precision.

  • HIGHEST POVERTYSabah (19.7%)
  • HIGHEST GINISabah (0.3949)
  • LOWEST MEDIANKelantan (RM 3,614)
  • DATA SOURCEDOSM / MySDG-1
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2022-Q1
Sabah Region
CRITICAL: 19.7% Poverty
// POLICY.SIGNAL_01

The Income Paradox: Sabah.

High wealth inequality persists despite regional growth. Our intelligence dashboard normalizes district-level data to expose the gap between mean income and actual poverty relief, enabling policymakers to redirect blanket subsidies toward targeted B40 district interventions.

View policy methodology
Inequality Gap
2.4x
Risk Level
High
Current StateSABAH
Target ModelB40
2022

Baseline Poverty Metrics

Poverty Rate19.7%
Gini Coeff0.3949
Median IncomeRM 3,614
B40 Coverage42%
Aid EfficiencyLow
Data Source2022
Risk Index
0.84
2025

Targeted Relief Model

Poverty Rate8.2%
Gini Coeff0.3120
Median IncomeRM 6,334
B40 Coverage88%
Aid EfficiencyHigh
Data SourceTarget
Risk Index
0.32
Relief Scaling+62% efficiency
0.000.250.500.751.00
// Last Sync: 24h ago · 4,201 data pointsRequest access
[DATA.SET_2022]

Top 5 At-Risk Regions

Real-time poverty monitoring for Malaysian government agencies. Identify high-risk states, analyze the income paradox, and target B40 district relief with precision-engineered data signals.

SabahCrit
Active
Poverty Rate
19.7%
Gini Index
0.3949
Risk Level
High
Kelantan
Active
Poverty Rate
14.2%
Gini Index
0.3612
Risk Level
Medium
Sarawak
Active
Poverty Rate
12.8%
Gini Index
0.3721
Risk Level
Medium
Kedah
Active
Poverty Rate
11.5%
Gini Index
0.3580
Risk Level
Low
Perak
Active
Poverty Rate
10.9%
Gini Index
0.3492
Risk Level
Low
Data validated against 2022 census. Real-time updates enabled.

[DATA.ACCESS_REQUEST]

Secure your agency's access to the MySDG-1 Intelligence Dashboard.

Gain immediate visibility into poverty heatmaps, Gini inequality metrics, and targeted aid recommendations. Authorized government personnel only.

GOVERNMENT-GRADE SECURITY
REAL-TIME DATA SYNC
POLICY-READY ANALYTICS