NCoC logo Civic Health Measurement Dashboard

Indicator Correlations

Spearman rank correlations between 22 indicators for 2023. Click any cell to see the scatter plot.

Correlation Methodology

What This Visualization Shows

The Indicator Correlation Matrix shows how civic engagement indicators relate to each other across all U.S. states. Each cell displays the Spearman rank correlation coefficient between two indicators.

This helps identify which civic activities tend to "travel together" — when one is high in a state, is the other typically high or low as well?

Understanding Spearman Correlation

Spearman correlation measures the strength of the monotonic relationship between two variables based on their ranks (not raw values). The formula is:

ρ = 1 - (6 × Σd²) / (n × (n² - 1))

Where: d = difference in ranks for each state, n = number of states

Why Spearman instead of Pearson? Spearman is more robust to outliers and doesn't assume a linear relationship — it captures whether indicators tend to move in the same direction without requiring the relationship to be perfectly straight.

Interpreting Correlation Values

Correlation coefficients range from -1.0 to +1.0:

+0.7 to +1.0
Strong positive: indicators consistently move together
+0.3 to +0.7
Moderate positive: indicators tend to move together
-0.3 to +0.3
Weak/no correlation: little consistent relationship
-0.7 to -0.3
Moderate negative: when one is high, other tends to be low
-1.0 to -0.7
Strong negative: indicators consistently move oppositely

The Scatter Plot Feature

Click any cell in the correlation matrix to see a scatter plot showing the actual data points (states) for that indicator pair.

  • Each point represents one state
  • X-axis shows the rate for one indicator
  • Y-axis shows the rate for the other indicator
  • Hover over points to see state names and exact values

The scatter plot helps you see whether the correlation is driven by a few outliers or represents a genuine pattern across all states.

What This Data DOES Tell You

  • Co-occurrence patterns: Which civic activities tend to appear together in states
  • Potential indicator clusters: Groups of related civic behaviors
  • Unexpected relationships: Surprising connections between seemingly unrelated activities
  • Indicator independence: Which activities vary independently of others

What This Data Does NOT Tell You

  • Causation: Correlation ≠ causation. High voting doesn't "cause" high volunteering (or vice versa)
  • Individual behavior: State-level correlations don't mean individuals who do one activity do the other
  • Mechanism: The data doesn't explain why indicators are related
  • Temporal direction: You can't tell which behavior came first or influenced the other
  • Third variables: Correlations may be driven by unmeasured factors (e.g., education, income, urbanization)

Ecological fallacy warning: State-level correlations can be very different from individual-level correlations. Don't assume what's true for states is true for people.

Common Interpretation Pitfalls

  • Overinterpreting weak correlations: A correlation of 0.15 is essentially noise
  • Ignoring sample size: With 51 data points (states + DC), only correlations above ~0.28 are statistically significant at p < 0.05
  • Cherry-picking: With many indicator pairs, some strong correlations will occur by chance
  • Assuming linearity: Spearman captures monotonic relationships, but the actual relationship may be more complex

Questions about methodology? Contact the NCoC research team.

Strongest Positive Correlations

Organizational Membership ↔ Formal Volunteering +0.93
Contacting Public Officials ↔ Organizational Membership +0.83
Contacting Public Officials ↔ Formal Volunteering +0.80
Charitable Giving ↔ Organizational Membership +0.80
Buycotting or Boycotting ↔ Contacting Public Officials +0.80

Strongest Negative Correlations

Charitable Giving ↔ Main Satisfaction Comes From Work -0.44
Organizational Membership ↔ Main Satisfaction Comes From Work -0.43
Buycotting or Boycotting ↔ Main Satisfaction Comes From Work -0.38
Main Satisfaction Comes From Work ↔ Employer Promotes Volunteering -0.38
Formal Volunteering ↔ Main Satisfaction Comes From Work -0.34

Correlation Matrix

action
boycott
contact
donate
favors
ffissues
fftalk
meeting
news
nissues
ntalk
org
politicaldonor
views
volfreq
volunteer
voterstatus
workcont
workicont
workpride
worksat
workvol
action
1.00
0.51
0.55
0.47
0.09
0.02
0.16
0.61
0.31
0.23
0.47
0.64
0.47
-0.13
-0.04
0.61
0.50
0.18
0.12
0.14
-0.22
0.35
boycott
0.51
1.00
0.80
0.64
-0.04
0.24
0.34
0.58
0.42
0.00
0.25
0.78
0.34
-0.13
0.12
0.74
0.45
0.29
-0.02
0.04
-0.38
0.48
contact
0.55
0.80
1.00
0.68
-0.00
0.21
0.37
0.72
0.46
0.09
0.33
0.83
0.30
-0.23
0.01
0.80
0.45
0.35
0.11
0.21
-0.30
0.43
donate
0.47
0.64
0.68
1.00
-0.17
0.20
0.42
0.64
0.60
-0.04
0.29
0.80
0.47
-0.15
-0.16
0.74
0.45
0.30
0.03
0.04
-0.44
0.64
favors
0.09
-0.04
-0.00
-0.17
1.00
-0.24
-0.07
-0.06
-0.29
0.42
0.56
-0.05
-0.13
-0.01
0.17
0.06
-0.19
0.10
0.35
0.36
0.04
-0.02
ffissues
0.02
0.24
0.21
0.20
-0.24
1.00
0.35
0.32
0.41
0.33
-0.01
0.25
0.38
0.19
0.12
0.12
0.26
0.11
-0.01
-0.07
0.08
0.02
fftalk
0.16
0.34
0.37
0.42
-0.07
0.35
1.00
0.39
0.49
0.14
0.25
0.40
0.19
-0.01
-0.20
0.31
0.33
0.14
-0.18
-0.02
-0.30
0.35
meeting
0.61
0.58
0.72
0.64
-0.06
0.32
0.39
1.00
0.62
0.20
0.35
0.72
0.40
-0.19
-0.09
0.66
0.43
0.29
0.15
0.18
-0.13
0.38
news
0.31
0.42
0.46
0.60
-0.29
0.41
0.49
0.62
1.00
0.06
0.26
0.54
0.35
-0.07
-0.16
0.42
0.28
0.05
-0.18
-0.08
-0.14
0.45
nissues
0.23
0.00
0.09
-0.04
0.42
0.33
0.14
0.20
0.06
1.00
0.50
0.11
0.24
0.28
-0.00
0.07
0.07
0.01
0.28
0.24
0.07
-0.08
ntalk
0.47
0.25
0.33
0.29
0.56
-0.01
0.25
0.35
0.26
0.50
1.00
0.41
0.22
0.02
-0.04
0.40
0.24
0.08
0.16
0.13
-0.14
0.34
org
0.64
0.78
0.83
0.80
-0.05
0.25
0.40
0.72
0.54
0.11
0.41
1.00
0.43
-0.20
-0.06
0.93
0.43
0.32
0.06
0.09
-0.43
0.64
politicaldonor
0.47
0.34
0.30
0.47
-0.13
0.38
0.19
0.40
0.35
0.24
0.22
0.43
1.00
0.15
-0.02
0.39
0.49
0.17
0.24
-0.00
0.07
0.12
views
-0.13
-0.13
-0.23
-0.15
-0.01
0.19
-0.01
-0.19
-0.07
0.28
0.02
-0.20
0.15
1.00
-0.06
-0.20
-0.02
-0.12
0.22
-0.06
-0.01
-0.06
volfreq
-0.04
0.12
0.01
-0.16
0.17
0.12
-0.20
-0.09
-0.16
-0.00
-0.04
-0.06
-0.02
-0.06
1.00
-0.06
-0.08
0.12
0.04
0.07
0.08
-0.27
volunteer
0.61
0.74
0.80
0.74
0.06
0.12
0.31
0.66
0.42
0.07
0.40
0.93
0.39
-0.20
-0.06
1.00
0.41
0.34
0.10
0.11
-0.34
0.60
voterstatus
0.50
0.45
0.45
0.45
-0.19
0.26
0.33
0.43
0.28
0.07
0.24
0.43
0.49
-0.02
-0.08
0.41
1.00
0.24
0.09
0.04
-0.06
0.26
workcont
0.18
0.29
0.35
0.30
0.10
0.11
0.14
0.29
0.05
0.01
0.08
0.32
0.17
-0.12
0.12
0.34
0.24
1.00
0.58
0.68
0.09
0.25
workicont
0.12
-0.02
0.11
0.03
0.35
-0.01
-0.18
0.15
-0.18
0.28
0.16
0.06
0.24
0.22
0.04
0.10
0.09
0.58
1.00
0.64
0.37
-0.07
workpride
0.14
0.04
0.21
0.04
0.36
-0.07
-0.02
0.18
-0.08
0.24
0.13
0.09
-0.00
-0.06
0.07
0.11
0.04
0.68
0.64
1.00
0.29
0.05
worksat
-0.22
-0.38
-0.30
-0.44
0.04
0.08
-0.30
-0.13
-0.14
0.07
-0.14
-0.43
0.07
-0.01
0.08
-0.34
-0.06
0.09
0.37
0.29
1.00
-0.38
workvol
0.35
0.48
0.43
0.64
-0.02
0.02
0.35
0.38
0.45
-0.08
0.34
0.64
0.12
-0.06
-0.27
0.60
0.26
0.25
-0.07
0.05
-0.38
1.00
-1.0
+1.0 (Click any cell to see scatter plot)