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📊 Data Analysis Python Data Visualization 2015 Dataset

Philippine Family Income & Expenditure Survey: A Comprehensive Analysis

An in-depth exploratory data analysis of 41,544 Filipino households examining income inequality, spending patterns, housing conditions, utilities access, food security, and multi-dimensional poverty from the 2015 FIES survey.

Survey Year
2015 Family Income & Expenditure Survey
Tech Stack
Python Pandas Matplotlib Chart.js HTML/CSS
Total Households
41,544
Survey respondents
Average Income
₱247,556
Per year
Median Income
₱164,080
50th percentile
Gini Coefficient
0.444
High inequality
Variables Analyzed
60
Data points per household
Analysis Topics
12
Comprehensive sections
Key Takeaways

Analysis of 41,544 Filipino households reveals deep income inequality, with the average income at P247,556 but the median at only P164,080 -- a gap that shapes spending, housing, and food security nationwide.

  • The Gini coefficient of 0.444 indicates high income inequality, with the top 10% earning significantly more than the bottom 90% of households.
  • Food is the largest household expenditure category, consuming a disproportionately higher share of income for low-income families.
  • NCR households have the highest average income, while ARMM has the lowest, reflecting stark regional economic disparities.
  • 46.5% of ARMM households lack electricity and 52.3% lack flush toilets, highlighting multi-dimensional poverty beyond income alone.

Income Distribution & Inequality

Examining how income is distributed across Filipino households reveals significant disparities between the richest and poorest segments.

📊 Income by Percentile

Household income thresholds at each percentile level

🗺️ Income by Region

Average household income across Philippine regions

19.4x

Top 1% vs Bottom 50%

The top 1% of households earned ₱2,014,940/year on average, compared to ₱103,657 for the bottom 50%.

3.1x

NCR vs ARMM Gap

NCR households earned ₱420,862 compared to ARMM's ₱134,747 — a stark regional divide.

7.0x

Top 10% vs Bottom 10%

The 90th percentile threshold (₱502K) is 7x higher than the 10th percentile (₱72K).

Spending Patterns by Income Level

Engel's Law states that as income increases, the proportion spent on food decreases. The Philippine data strongly confirms this economic principle.

🍚 Food Expenditure (% of Income)

Engel's Law in action — poorer households spend more on food

🚬📚 Vice vs Education Spending

Comparing alcohol/tobacco spending to education by income quintile

Healthcare Spending Gap

₱20,579
Top 20%
vs
₱1,392
Bottom 20%
Rich families spend 14.8x more on healthcare

Transportation Spending Gap

₱31,143
Top 20%
vs
₱2,500
Bottom 20%
Rich families spend 12.5x more on transport

Special Occasions Spending

₱14,211
Top 20%
vs
₱993
Bottom 20%
Rich families spend 14.3x more on fiestas

Income by Household Characteristics

Exploring how education, occupation, age, and family structure correlate with household income levels.

🎓 Income by Education Level

Higher education strongly correlates with higher income

👴 Income by Age Group

Peak earning years occur between 50-60 years old

💼 Top & Bottom Occupations by Income

Comparing the highest and lowest earning professions

Rank Highest Earning Occupations Avg Income Lowest Earning Occupations Avg Income
1 Civil Engineers ₱788,717 Forest Products Gatherers ₱89,418
2 University Professors ₱735,437 Coffee/Cacao Farmers ₱108,209
3 Supervisors ₱681,862 Charcoal Makers ₱112,113
4 Sales & Marketing Managers ₱648,983 Farm Laborers ₱121,699
5 Construction Managers ₱624,595 Root Crop Farmers ₱125,805

Gender of Household Head

₱262,805
Female-headed (22%)
vs
₱243,302
Male-headed (78%)
Female-headed households earn ₱19,503 more

Agricultural vs Non-Agricultural

₱213,251
Agricultural (32%)
vs
₱263,957
Non-Agri (68%)
Agricultural households earn 24% less

Marital Status

₱255,255
Married (76%)
vs
₱206,996
Single (5%)
Married household heads earn 23% more

Asset Ownership by Income Level

Material wealth indicators show dramatic disparities between the richest and poorest quintiles.

📺 Asset Ownership: Rich vs Poor

Percentage of households owning each asset by income quintile

266x

Car Ownership Gap

Only 0.1% of the poorest 20% own a car, compared to 26.6% of the richest 20%.

83.3%

Cellphone Penetration

The most widely owned asset, though still only 54% among the poorest quintile.

89.1%

Electricity Access

Overall electrification rate, but only 53.5% in ARMM region.

Income Correlation Factors

Identifying which expenditure categories and household characteristics most strongly correlate with income.

📈 Correlation with Household Income

Pearson correlation coefficients for key variables

👨‍👩‍👧‍👦 Per Capita Income by Family Size

Larger families have lower per-person income despite higher totals

Housing & Living Conditions

Housing quality is a key indicator of economic wellbeing. The materials used for roofs and walls, house size, and ownership status reveal stark disparities.

Own House & Lot
65.3%
Homeownership rate
Avg Floor Area
47 sqm
Per household
Strong Materials
68.4%
Concrete/GI roofs
Light Materials
18.7%
Nipa/cogon roofs

🏠 House Floor Area by Income Quintile

Average square meters by wealth level

🏗️ Housing Materials by Income

Roof/wall quality as poverty indicator

House Floor Area Gap

89 sqm
Top 20%
vs
28 sqm
Bottom 20%
Rich households live in 3.2x larger homes

Homeownership by Income

72.5%
Top 20%
vs
58.2%
Bottom 20%
Poorer families more likely to be rent-free squatters

Bedrooms per Household

2.8
Top 20%
vs
1.2
Bottom 20%
Poor families average 4.2 persons per bedroom

Water, Sanitation & Electricity Access

Access to clean water, proper sanitation, and electricity are fundamental development indicators. Regional and income disparities remain significant.

Electricity Access
89.1%
National average
Piped Water
43.2%
Community system
Flush Toilets
74.8%
Water-sealed
No Toilet
4.2%
Open defecation

💡 Electricity Access by Region

% of households with electricity

🚰 Water Source by Income Level

Quality of water access varies dramatically

53.5%

ARMM Electrification

Lowest in the country — nearly half of ARMM households lack electricity compared to 99%+ in NCR.

23.1%

Open Pit Toilets

Among the poorest 20%, nearly 1 in 4 use open pit or no toilet, raising health concerns.

31.2%

Unprotected Water

Nearly a third of poor households rely on springs, rivers, or rainwater for drinking.

Detailed Food Expenditure Breakdown

Rice dominates the Filipino diet, but protein sources and food diversity vary significantly across income levels.

🍚 Food Spending Composition

Share of total food expenditure by category

🥩 Protein Spending by Income

Meat + Fish expenditure (PHP/year)

🍽️ Food Expenditure by Category & Income Level

Annual spending in PHP

Food Category Bottom 20% Middle 20% Top 20% Rich/Poor Ratio
Rice ₱18,245 ₱26,788 ₱32,816 1.8x
Meat ₱6,638 ₱14,322 ₱29,084 4.4x
Fish & Seafood ₱7,555 ₱11,073 ₱18,452 2.4x
Vegetables ₱4,988 ₱7,833 ₱11,700 2.3x
Fruits ₱1,550 ₱2,035 ₱4,510 2.9x
Restaurant/Hotels ₱1,695 ₱6,280 ₱17,800 10.5x
4.4x

Meat Gap

Rich families spend 4.4x more on meat — protein access is a major inequality indicator.

42%

Rice Share (Poor)

Rice alone accounts for 42% of food spending for the poorest families vs 18% for richest.

10.5x

Dining Out Gap

Restaurant spending shows the largest gap — a luxury the poor simply cannot afford.

Where Does the Money Come From?

Filipino households derive income from wages, entrepreneurial activities, and other sources. The mix varies significantly by economic status.

💼 Primary Income Source Distribution

% of households by main income source

🏢 Employment Class Distribution

Self-employed vs employees by income level

Wage vs Entrepreneurial Income

₱267,891
Wage Earners (52%)
vs
₱243,560
Entrepreneurs (31%)
Wages provide 10% higher average income

Government vs Private Sector

₱412,547
Government (12%)
vs
₱238,126
Private (43%)
Government workers earn 73% more

Has Job vs No Job

₱263,748
With Job (71%)
vs
₱208,112
No Job (29%)
Jobless households rely on remittances/pensions

Family Structure & Dependents

Family size, composition, and structure significantly impact economic outcomes. Larger families face more financial pressure despite pooled resources.

Avg Family Size
4.4
Members per household
Children Under 5
0.6
Per household avg
Extended Families
28.4%
Multi-generational
Single Parents
12.3%
Widowed/separated

👶 Children (0-17) by Income Quintile

Average number of children per household

👨‍👩‍👧‍👦 Family Type by Income

Single vs Extended family distribution

2.4

Kids in Poor Families

The poorest 20% have 2.4 children on average vs 1.2 for the richest — more mouths to feed with less income.

31K

Per Capita (10 members)

In families of 10+, per-person income drops to ₱31K/year — only ₱85/day per person.

1.4

Employed per Household

Only 1.4 family members are employed on average, supporting 3 dependents each.

Lifestyle & Discretionary Spending

Beyond necessities, how do Filipinos spend on clothing, communications, recreation, and the culturally important fiestas and special occasions?

🎉 Discretionary Spending by Income

Annual spending on non-essentials (PHP)

📱 Communication vs Transportation

Connectivity and mobility spending patterns

💸 Discretionary Spending Breakdown

How non-essential spending varies by wealth

Category Bottom 20% Top 20% Gap % of Income (Poor) % of Income (Rich)
Clothing & Footwear ₱2,560 ₱22,830 8.9x 2.4% 3.2%
Communication ₱840 ₱13,494 16.1x 0.8% 1.9%
Transportation ₱2,460 ₱27,660 11.2x 2.3% 3.9%
Special Occasions/Fiestas ₱1,000 ₱7,500 7.5x 0.9% 1.1%
Recreation & Misc ₱3,384 ₱70,746 20.9x 3.2% 9.9%
16x

Communication Gap

The digital divide is stark — rich households spend 16x more on internet and phone services.

0.9%

Fiesta Budget (Poor)

Despite cultural importance, poor families can only allocate 0.9% of income to fiestas and celebrations.

21x

Recreation Gap

Miscellaneous and recreation shows the largest gap — leisure is a luxury of the wealthy.

Multi-dimensional Poverty Indicators

Poverty is more than just income. This composite view combines housing quality, utilities access, asset ownership, and education to identify the most vulnerable households.

📉 Poverty Indicators by Region

% of households lacking basic indicators

Light Materials Housing

38.2%
Bottom 20%
vs
3.1%
Top 20%
12x more likely to live in makeshift homes

No Refrigerator

95.2%
Bottom 20%
vs
22.0%
Top 20%
Cannot preserve food safely

Elementary Education Only

52.4%
Bottom 20%
vs
8.7%
Top 20%
Education gap perpetuates poverty
ARMM

Most Deprived Region

ARMM scores worst on 7 out of 10 poverty indicators: income, electricity, water, sanitation, housing, education, and assets.

4.7M

Multi-dimensionally Poor

An estimated 4.7 million households (25%) are deprived in at least 3 of 5 key dimensions.

NCR

Best Development

NCR leads in all indicators except one — highest housing costs relative to income due to Metro Manila real estate prices.

Data & Analysis Methodology

Transparency in data analysis: understanding the source, scope, and limitations of the FIES dataset.

📊 Dataset Overview

Source: Philippine Statistics Authority (PSA)

Survey: Family Income & Expenditure Survey 2015

Sample Size: 41,544 households

Coverage: All 17 regions

Variables: 60 data points per household

Sampling: Stratified multi-stage random sampling

⚠️ Limitations

Self-reported: Income may be underreported, especially informal sector

Point-in-time: 2015 data may not reflect current conditions

Urban bias: Urban areas may be slightly overrepresented

Recall error: Expenditure data based on respondent memory

Regional grouping: Provincial-level analysis not available in public dataset

📋 Comprehensive Key Findings

1

Severe income inequality: The top 1% earned 19.4x more than the bottom 50%. The Gini coefficient of 0.444 indicates high inequality comparable to Latin American countries.

2

Engel's Law confirmed: The poorest 20% spent 60% of income on food (42% on rice alone), while the richest spent only 27%.

3

Education is transformative: Post-graduate degree holders earned 7x more than elementary-only (₱909K vs ₱130K). Engineering and IT degrees show the highest returns.

4

Regional divide stark: NCR households earned 3.1x more than ARMM. ARMM also had the worst electricity (53.5%), water, and sanitation access.

5

Asset gap extreme: Car ownership showed a 266x gap (26.6% vs 0.1%). Even cellphones showed a 1.8x gap (97.7% vs 54.2%).

6

Housing quality varies: The richest live in 3.2x larger homes (89 vs 28 sqm) with 2.3x more bedrooms. 38% of the poorest live in light-material (makeshift) homes.

7

Protein poverty: Rich families spend 4.4x more on meat and 10.5x more on restaurants. Food quality, not just quantity, differs dramatically.

8

Family size burden: Poor families have 2x more children (2.4 vs 1.2). Per capita income in 10-member families is only ₱31K/year (₱85/day/person).

9

Government premium: Government workers earned 73% more than private sector employees (₱412K vs ₱238K) — a significant public-private gap.

10

Digital divide: Communication spending showed a 16x gap. Internet and phone connectivity remains a luxury for the poor, limiting economic mobility.

AN
Analysis By

Allan Niñal

Data Analyst & Engineer

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