Accumulating Evidence of the Impact of Voter ID Laws: Student Engagement in the Political Process

Figures & data

Figure 1. Diagram of hypothesized causal factors for how voter ID laws impact voter behavior.

Table 1. Summary of results (SE in parentheses) of primary question.

		Percentage unable to vote	Percentage unable to vote due to ID law
Location	Dallas, TX	8.2% (2.7%)	0.41% (0.29%)
	Philadelphia, PA	1.9% (1.0%)	0.54% (0.49%)
	Northern VA	3.8% (N/A)	1.80% (N/A)

Table 2. Estimates of percentage (SE) of Dallas County voters experiencing various problems on Election Day.

Percentage of voters who:	Were unable to vote due to ID law	Voted but made a 2nd trip to polling place due to lack of ID on first trip	Voted but had to cast a provisional ballot	Had any of these problems
Percentage (SE)	0.41% (0.29%)	0.52% (0.28%)	0.54% (0.30%)	1.47% (0.70%)

Table 3. The percentage (SE) of those interviewed in Philadelphia who had to show ID, conditioned on whether they were a first time voter in the district.

		Were they asked to show ID?
Was this their first time		Yes		No		Marginal percentage
voting in the district?
	Yes	93.4% (3.5%)		6.6% (3.5%)		17.8% (3.6%)
		White	Non-White	White	Non-White
		96.2% (3.2%)	89.8% (7.8%)	3.8% (3.2%)	10.2% (7.8%)
	No	32.8% (4.1%)		67.2% (4.1%)		82.2% (3.6%)
		White	Non-White	White	Non-White
		22.0% (4.6%)	41.5% (5.5%)	78.0% (4.6%)	58.5% (5.5%)
Marginal percentage		43.3% (3.7%)		56.7% (3.7%)