We Measure What Matters

Before we can change something, we have to understand it. We're conducting a community-wide survey across 100+ families in central Malawi, building our own multidimensional picture of poverty, one household at a time.

100+
Families surveyed in central Malawi
3
Dimensions measured: Health, Education, Living Standards
10
Indicators tracked per household
Live
Survey actively underway in Nyankhwa and surrounding villages

Our Community Poverty Index

Standard poverty measures count income. But income alone doesn't tell you whether a child is attending school, whether a mother went a full day without eating, or whether a family cooks over an open fire inside their home.

We built our own Community Poverty Index (CPI) inspired by the global Multidimensional Poverty Index, adapted for the specific context of central Malawi. Every family we survey receives a score across three equal dimensions: Health, Education, and Standard of Living.

This baseline data doesn't just tell us where things stand today. It tells us exactly where to focus, lets us measure whether our programs are actually working, and gives donors a transparent, honest look at the communities we serve.

"You can't fix what you haven't measured. We're building the most honest picture we can."

How a Household Score Works

Health 1/3 of total score
Nutrition: No one skipped meals
Child mortality: A child died in past 5 yrs  +1/6
Education 1/3 of total score
Years of schooling: Primary 1–3 only  +1/6
School attendance: All children attending
Standard of Living 1/3 of total score
Cooking fuel: Uses wood  +1/18
Sanitation: Improved private toilet
Water: More than 15 min walk to borehole  +1/18
Electricity: Has solar
Housing: Mud walls, dirt floor, grass roof  +1/18
Assets: Only 1 asset (phone)  +1/18

What We're Seeing

Across the households surveyed so far in Nyankhwa and surrounding villages, clear patterns are emerging that directly shape our program priorities.

Standard of Living
~80%

Rely on Wood for Cooking

Nearly all households surveyed cook over open wood fires, driving deforestation and contributing to respiratory health problems, especially for women and children.

Education
Most

Children Are in School

School attendance is relatively strong. The gap is in years completed and quality of learning, not just whether children show up. Our after-school programs address both.

Health
Varies

Child Mortality Remains a Reality

Several households reported a child death in the past five years. Preventable conditions caught through regular screening are a core part of this picture.

Standard of Living
Most

Limited Asset Ownership

Most families own only one or two assets, typically a phone. This limits economic resilience and the ability to weather shocks like illness or crop failure.

Health
Mixed

Nutrition Varies Significantly

Some households report no skipped meals; others report going a full day without eating. Agricultural intervention is directly tied to closing this gap.

Standard of Living
Many

Housing Quality Is a Core Deprivation

Mud walls, dirt floors, and grass roofs are common. These conditions compound health risks and make households especially vulnerable during Malawi's rainy season.

Real Households, Real Data

Every survey respondent is a real family. These profiles show the kind of granular, household-level data we're collecting, with context anonymized to protect privacy.

Respondent 1
Female, not married · Nyankhwa
0.39 MPI Poor
Health · 1/3 of score
Nutrition
No one skipped meals
Child mortality
No child deaths
Education · 1/3 of score
Years of schooling
Primary 1–3 only (under 6 yrs)
+1/6
School attendance
All children attending
Standard of Living · 1/3 of score
Cooking fuel
Uses wood
+1/18
Sanitation
Improved private toilet
Water
>15 min walk to borehole
+1/18
Electricity
Has solar
Housing
Mud walls, dirt floor, grass roof
+1/18
Assets
Only 1 asset (phone)
+1/18
Respondent 2
Female, not married · Nyankhwa
0.33 MPI Poor
Health · 1/3 of score
Nutrition
No one skipped meals
Child mortality
A child died in past 5 yrs
+1/6
Education · 1/3 of score
Years of schooling
Primary 7–8 (6+ yrs completed)
School attendance
All children attending
Standard of Living · 1/3 of score
Cooking fuel
Uses wood
+1/18
Sanitation
Improved private toilet
Water
<5 min walk to borehole
Electricity
Has solar
Housing
Fired bricks but dirt floor
+1/18
Assets
Only 1 asset (phone)
+1/18
Respondent 3
Female, married · Nyankhwa
0.33 MPI Poor
Health · 1/3 of score
Nutrition
Someone went a full day without eating
+1/6
Child mortality
No child deaths
Education · 1/3 of score
Years of schooling
Primary 4–6 (6+ yrs completed)
School attendance
All children attending
Standard of Living · 1/3 of score
Cooking fuel
Uses wood
+1/18
Sanitation
Improved private toilet
Water
<5 min walk to borehole
Electricity
Battery/torch only
+1/18
Housing
Mud walls, dirt floor, grass roof
+1/18
Assets
Phone + computer (2 assets)

Data-Driven Development, Not Guesswork

Most non-profits operate on instinct and anecdote. We believe the families we serve deserve better than that. Our survey gives us a rigorous, repeatable baseline so we can track whether what we're doing is actually making life better.

When a family's MPI score improves, it means something real changed: a child stayed in school longer, someone gained access to clean water, a household climbed out of housing deprivation. That's the difference between impact and activity.

We'll resurvey these same households over time and publish the results here, so you can see exactly how your support is shifting the numbers.

Give to This Work

What Good Data Lets Us Do

  • Target the right families with the right programs, not just the most accessible ones
  • Measure year-over-year change in health, education, and living standards per household
  • Show donors exactly what their money moved, not just what it funded
  • Identify which interventions have the biggest score impact per dollar spent
  • Build credibility with foundations and institutional funders who require evidence
  • Hold ourselves accountable to the communities we serve, not just to donors

Full Survey Dashboard

As we complete the 100+ household survey, we'll publish a live dashboard with aggregate findings, trend lines, and village-level breakdowns. Here's what's coming:

Soon
Average MPI Score

Across all surveyed households in central Malawi

Soon
Indicator Breakdown

% of households deprived in each of the 10 indicators

Soon
Gender Analysis

How scores differ between female-headed and male-headed households

Soon
Year-over-Year Change

Baseline vs. follow-up scores for families in our programs

Soon
Village Comparisons

Side-by-side scores across Nyankhwa and surrounding villages

Soon
Program Impact

Score changes for households directly participating in our programs vs. control

Help Us Reach All 100+ Families

The survey costs time and resources. Your gift helps us complete the baseline, do it right, and build the accountability infrastructure that makes our programs stronger.

Give Today See the Map