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🏙️ Competitiveness Index Python Data Visualization 2021-2024

Philippine City Competitiveness Index

Comprehensive analysis of the Cities and Municipalities Competitiveness Index (CMCI) covering 149 cities and 1,488 municipalities across 5 pillars using DTI data.

149
Cities Ranked
5 Pillars
Assessment Framework
1,488
Municipalities Included
2024
Latest Ranking
Data Source
DTI CMCI Portal (cmci.dti.gov.ph)
Assessment Pillars
Economic Dynamism, Government Efficiency, Infrastructure, Resiliency, Innovation
Tech Stack
Python Pandas Chart.js HTML/CSS
Key Takeaways

CMCI analysis of 149 cities and 1,488 municipalities reveals Metro Manila dominance, a 34-point regional gap, and infrastructure as the key competitiveness driver.

  • NCR cities hold 12 of the top 20 positions, with an average score (52.4) that is 14 points above the next region.
  • 34.2-point gap between NCR and BARMM; income class is the strongest predictor (r=0.86) of competitiveness.
  • Infrastructure-Economic Dynamism correlation is 0.82 -- infrastructure investment drives economic growth.
  • Emerging cities like Mandaue, Lapu-Lapu, and Iloilo show fastest improvements, driven by BPO decentralization.
01

Top 20 Most Competitive Cities

Overall competitiveness rankings based on the composite CMCI score for 2024

🏆 Top 20 Cities by Overall Competitiveness Score (2024)
📋 Top 20 Cities - Detailed Rankings
Rank City Region Overall Score Change vs 2023
1Quezon CityNCR62.4+1.2
2Davao CityDavao Region60.8+0.8
3Cebu CityCentral Visayas59.2+1.4
4MakatiNCR58.6+0.4
5PasigNCR57.8+0.6
6TaguigNCR56.4+0.9
7MandaluyongNCR55.2+0.5
8ParañaqueNCR54.8+0.7
9Iloilo CityWestern Visayas54.2+1.8
10BacolodWestern Visayas53.6+1.2

🥇 Top City

Quezon City

Leads with an overall score of 62.4, excelling across economic dynamism and infrastructure pillars

🏙️ Metro Manila Dominance

12 of 20

12 out of the top 20 cities are in the National Capital Region, reflecting concentrated economic activity

🌟 Regional Champions

8 Cities

8 non-NCR cities break into the top 20, led by Davao City (#2), Cebu City (#3), Iloilo City (#9), and Bacolod (#10)

02

Five-Pillar Radar for Top 5 Cities

Comparative radar profiles showing strengths across all five CMCI pillars

🎯 Five-Pillar Radar Profile - Top 5 Cities
📋 Pillar Breakdown - Top 5 Cities
City Econ Dynamism Gov Efficiency Infrastructure Resiliency Innovation
Quezon City64.862.160.158.452.8
Davao City58.268.454.862.848.6
Cebu City60.458.455.456.251.4
Makati72.152.665.848.258.4
Pasig62.455.858.752.650.1

📊 Balanced Performers

Quezon City and Davao City show the most balanced profiles across all five pillars, with no single pillar scoring below 48. This balanced approach contributes significantly to their top overall rankings, as weakness in any single pillar can drag down composite scores.

📊 Specialized Strengths

Makati leads strongly in Economic Dynamism (72.1) and Infrastructure (65.8) but trails in Resiliency (48.2). Pasig excels in Innovation (50.1) while Cebu shows strength in Government Efficiency (58.4). Specialization creates higher peaks but lower valleys.

03

Economic Dynamism Rankings

Cities leading in business environment, employment generation, and economic output

💼 Top 15 Cities by Economic Dynamism Pillar Score

🏦 Financial Hub

Makati - 72.1

Makati leads economic dynamism by a wide margin, anchored by the Philippine Stock Exchange, Ayala Avenue financial corridor, and major corporate headquarters of banks and conglomerates

📈 BPO Corridors

Taguig - 68.4

Bonifacio Global City and the rise of technology companies push Taguig to second place in economic activity, with the highest commercial real estate growth rate among all cities

🏗️ Business Growth

+15.2%

Average business registration growth among top 10 cities from 2021 to 2024, indicating strong economic recovery and expansion in the post-pandemic period

04

Government Efficiency Rankings

Cities excelling in governance quality, fiscal management, and public service delivery

🏛️ Top 15 Cities by Government Efficiency Pillar Score

🏆 Governance Leader

Davao - 68.4

Davao City leads in government efficiency, recognized for streamlined business permitting processes, transparent fiscal management, and high BOSS compliance rates across all barangays

🌟 Small City Standout

Naga - 64.8

Naga City (Camarines Sur) consistently ranks high despite its smaller population of ~215,000, proving that good governance is not tied to city scale but to leadership quality and institutional capacity

📋 Key Indicators

12 Metrics

Government efficiency is measured across 12 indicators including BOSS compliance, IRA dependency ratio, e-governance adoption, business permit processing time, and fiscal self-reliance

05

Infrastructure Rankings

Cities with the best physical connectivity, utilities, and urban development

🏗️ Top 15 Cities by Infrastructure Pillar Score

🏙️ NCR Infrastructure Lead

The top 5 cities in infrastructure are all from NCR. Makati leads at 65.8 with dense road networks, modern commercial buildings, and robust telecommunications infrastructure. Taguig (63.2) and Mandaluyong (61.4) follow closely, both benefiting from newer urban developments and planned communities that integrate modern infrastructure standards.

🌉 Build-Build-Build Impact

Non-NCR cities are gradually closing the infrastructure gap thanks to the national Build-Build-Build program. Cebu (55.4) and Davao (54.8) have seen significant improvements in road quality, airport capacity, and internet connectivity since 2021. The Cebu-Cordova Link Expressway and Davao bypass road are key examples of transformative infrastructure investments.

06

Resiliency Rankings

Cities best prepared for disaster risk reduction and climate adaptation

🛡️ Top 15 Cities by Resiliency Pillar Score

🏆 Resiliency Champion

Marikina - 64.2

Marikina City is nationally renowned for its flood management systems, advanced early warning infrastructure, community disaster preparedness programs, and well-maintained river channel systems that have become a model for other cities

🌊 Disaster Preparedness

Davao - 62.8

Davao City ranks second with robust DRRM offices, regular earthquake preparedness drills, and comprehensive emergency response coordination. Its 911 emergency system was the first in the country and remains a national benchmark

🌿 Climate Adaptation

Iloilo - 60.4

Iloilo City has pioneered green infrastructure initiatives, including mangrove restoration along the Iloilo River, climate-resilient urban planning for coastal zones, and integrated flood risk management systems

07

Innovation Rankings

Cities fostering startup ecosystems, R&D investment, and technology adoption

💡 Top 15 Cities by Innovation Pillar Score

🚀 Innovation Leader

Makati - 58.4

Makati leads innovation with the highest density of startups, fintech companies, venture capital firms, and R&D facilities in the country. Its Salcedo and Legazpi villages have become innovation hubs attracting tech talent

💻 Tech Hub

Taguig - 55.2

BGC has become the Philippines' premier technology district, hosting offices for Google, Meta, and numerous tech accelerators. The Innovation Hub at Net Park has catalyzed startup growth in the area

📊 Innovation Gap

42.3 pts

The gap between the top scorer (Makati at 58.4) and the average city score (16.1) is the widest among all five pillars, highlighting severe innovation inequality across Philippine cities

08

Regional Average Scores

How competitiveness varies across the country's 17 administrative regions

🗺️ Average Competitiveness Score by Region (2024)

📊 NCR Dominance

The National Capital Region leads with an average score of 52.4, nearly 14 points ahead of second-place CALABARZON (38.6). This gap reflects decades of concentrated investment, infrastructure development, and economic activity in Metro Manila. Even the lowest-ranked NCR city outscores many regional champions.

📊 Regional Disparity

The difference between NCR (52.4) and BARMM (18.2) is a staggering 34.2 points. Mindanao regions generally score lower, though Davao Region (36.4) stands out as a clear exception, driven almost entirely by Davao City's strong performance across all five pillars.

09

HUC vs Component City vs Municipality

Competitiveness differences across LGU classifications

🏘️ Average Competitiveness Score by LGU Classification
📋 LGU Classification Breakdown
Classification Count Avg Score Econ Dynamism Gov Efficiency Infrastructure
Highly Urbanized Cities3348.252.450.848.6
Component Cities11632.434.236.830.2
1st Class Municipalities49228.626.432.824.6
2nd-3rd Class Municipalities58422.420.126.218.8
4th-6th Class Municipalities41216.814.220.412.6

🏙️ HUC Premium

48.2

Highly Urbanized Cities average 48.2, benefiting from independent governance, larger budgets, and concentrated economic activity that creates virtuous cycles of investment

🏘️ Component Cities

32.4

Component cities average 32.4, constrained by provincial oversight but still benefiting from urban classification resources and higher population density

🏡 Rural Gap

16.8

Lower-class municipalities average just 16.8, revealing a massive 31.4-point gap with HUCs - the urbanization premium expressed in stark numbers

10

Top Cities Radar Overlay

Head-to-head comparison of the top 3 cities across all five pillars

🎯 Radar Overlay: #1 Quezon City vs #2 Davao vs #3 Cebu

🥇 Quezon City

Leads in Economic Dynamism (64.8) and Infrastructure (60.1). The largest city by population in the Philippines leverages its massive scale for economic output and dense urban infrastructure development. Strong across all pillars with no score below 52.8.

🥈 Davao City

Strongest in Government Efficiency (68.4) and Resiliency (62.8). Known for discipline in governance, proactive disaster risk management, and its pioneering 911 emergency system. Its vast land area allows for strategic urban planning.

🥉 Cebu City

Leads in Innovation (51.4) among the three, driven by its thriving IT-BPO sector and emerging startup ecosystem. The "Queen City of the South" shows balanced strength overall with strong tourism and manufacturing sectors.

11

Pillar Score Correlations

How the five competitiveness pillars relate to and reinforce each other

🔗 Correlation Between Competitiveness Pillars
📋 Correlation Matrix Summary
Pillar Pair Correlation (r) Interpretation
Infrastructure - Economic Dynamism0.82Very strong positive
Innovation - Economic Dynamism0.78Strong positive
Infrastructure - Innovation0.74Strong positive
Gov Efficiency - Infrastructure0.71Strong positive
Resiliency - Economic Dynamism0.68Moderate positive
Gov Efficiency - Resiliency0.64Moderate positive

📊 Strongest Link

r = 0.82

Infrastructure and Economic Dynamism show the strongest correlation (0.82). Cities with better roads, connectivity, and utilities naturally attract more businesses and generate more economic output. This confirms that infrastructure investment is the most reliable path to economic growth.

📊 Innovation Driver

r = 0.78

Innovation and Economic Dynamism are highly correlated (0.78), suggesting that innovative ecosystems drive economic growth and vice versa. The weakest pair is Government Efficiency and Resiliency (0.64), indicating these are more independent capabilities that a city can develop separately.

12

Population vs Competitiveness Score

Does city size predict competitiveness? Examining the population-performance relationship

👥 Average Competitiveness Score by Population Category

📈 Size Advantage

Cities with over 500,000 population average a score of 51.2, compared to 28.4 for cities under 50,000. Larger populations bring economies of scale, higher tax revenues, more diversified economic bases, and greater access to skilled labor markets. The relationship is strong but not deterministic.

🌟 Notable Exceptions

Naga City (population ~215,000) scores 52.8, outperforming many cities with twice its population. This demonstrates that focused governance and strategic planning can overcome size limitations. Puerto Princesa and Dumaguete are similar outliers that punch above their weight through focused governance and strategic positioning.

13

Income Class vs Performance

The strong relationship between LGU income classification and competitiveness outcomes

💰 Average Competitiveness Score by Income Class
📋 Income Class Performance Details
Income Class Annual Revenue Avg Score Top Performer Bottom Performer
1st Class> PHP 400M46.262.432.8
2nd ClassPHP 240-400M35.848.624.2
3rd ClassPHP 144-240M28.438.218.6
4th ClassPHP 72-144M22.130.414.8
5th-6th Class< PHP 72M16.824.68.4

💰 1st Class Cities

46.2

First-class cities with annual revenues exceeding PHP 400M lead competitiveness, with larger budgets enabling investment in infrastructure, public services, and economic development programs

📉 Income Gap Effect

29.4 pts

The 29.4-point gap between 1st class (46.2) and 5th-6th class (16.8) cities shows how fiscal capacity fundamentally constrains competitiveness and limits development potential

📊 Correlation

r = 0.86

Income class and overall CMCI score have a correlation of 0.86, making fiscal capacity the single strongest predictor of competitiveness among all variables analyzed

14

Year-over-Year Improvement Trends

Which cities have shown the biggest improvements from 2021 to 2024?

📈 Cities with Biggest Score Improvements (2021-2024)
📋 Improvement Leaders - Detailed View
City Region 2021 Score 2024 Score Change
MandaueCentral Visayas44.452.8+8.4
Lapu-LapuCentral Visayas40.247.4+7.2
Iloilo CityWestern Visayas47.454.2+6.8
General SantosSOCCSKSARGEN42.849.2+6.4
Cagayan de OroNorthern Mindanao42.848.6+5.8
BacolodWestern Visayas48.253.6+5.4
Zamboanga CityZamboanga Peninsula42.247.4+5.2
Puerto PrincesaMIMAROPA38.643.4+4.8

🌟 Visayas Rising

Mandaue (+8.4), Lapu-Lapu (+7.2), and Iloilo (+6.8) lead the improvement charts. Visayas cities are benefiting from manufacturing growth, robust tourism recovery after the pandemic, and improved infrastructure connectivity. The Metro Cebu area in particular has emerged as a genuine economic counterweight to Metro Manila.

🌟 Mindanao Emergence

General Santos (+6.4) and Cagayan de Oro (+5.8) show strong gains driven by agri-business modernization and BPO expansion into secondary cities. These emerging urban centers suggest a gradual but meaningful decentralization of economic activity beyond Metro Manila, supported by improved air connectivity and digital infrastructure.

15

Key Findings & Summary

Critical insights from the Philippine competitiveness index analysis

🏙️ Metro Manila Dominance

  • NCR cities hold 12 of the top 20 positions
  • Average NCR score (52.4) is 14 points above the next region
  • Makati leads 3 out of 5 individual pillars
  • Infrastructure gap remains the biggest NCR advantage

🗺️ Regional Disparities

  • 34.2-point gap between NCR (52.4) and BARMM (18.2)
  • Luzon-Visayas-Mindanao divide is clearly visible in data
  • HUCs score 31.4 points higher than lower-class municipalities
  • Income class is the strongest predictor (r=0.86) of competitiveness

📊 What Drives Competitiveness

  • Infrastructure-Economic Dynamism correlation is 0.82
  • Innovation shows the widest disparity (42.3-point gap)
  • Government efficiency enables but does not guarantee performance
  • Balanced pillar profiles outperform single-pillar specialists

🌟 Emerging Cities

  • Mandaue, Lapu-Lapu, and Iloilo show fastest improvements
  • Visayas and Mindanao cities gaining ground since 2021
  • Naga City proves small cities can compete with focused governance
  • Post-pandemic BPO decentralization benefits secondary cities

Data Source & Methodology

This analysis uses competitiveness data from the Department of Trade and Industry (DTI) Cities and Municipalities Competitiveness Index (CMCI) Portal. The CMCI is the Philippines' primary benchmarking tool for local competitiveness, administered annually since 2013.

  • Primary Source: DTI CMCI Portal (cmci.dti.gov.ph)
  • Classification: Highly Urbanized Cities (HUCs), Component Cities, and Municipalities (1st-6th class)
  • Five Pillars: Economic Dynamism, Government Efficiency, Infrastructure, Resiliency, Innovation
  • Scoring: Composite score calculated from weighted pillar scores (0-100 scale)
  • Time Period: 2021-2024 annual rankings
  • Coverage: 149 cities and 1,488 municipalities across 17 regions
  • Data Collection: Self-reported by LGUs, validated by DTI regional offices and partner agencies
  • Limitations: Self-reporting may introduce bias; not all municipalities participate every year

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