The NCS Report - Charlottesville, VA 2022 - Flipbook - Page 5
Analyzing the data
Responses from mailed surveys were entered into an electronic dataset using a “key and verify” method, where all responses are
entered twice and compared to each other. Any discrepancies were resolved in comparison to the original survey form. Range
checks as well as other forms of quality control were also performed. Responses from surveys completed on Polco were
downloaded and merged with the mailed survey responses.
The demographics of the survey respondents were compared to those found in the 2010 Census and 2020 American Community
Survey estimates for adults in the City of Charlottesville. The primary objective of weighting survey data is to make the survey
respondents reflective of the larger population of the community. The characteristics used for weighting were age, sex, race,
Hispanic origin, housing type, housing tenure, and area. No adjustments were made for design effects. Weights were calculated
using an iterative, multiplicative raking model known as the ANES Weighting Algorithm.* The results of the weighting scheme for
the probability sample are presented in the following table.
NRC aligns demographic labels with those used by the U.S. Census for reporting purposes, when possible. Some categories (e.g.,
age, race/Hispanic origin, housing type, and length of residency) are combined into smaller subgroups.
Age
Area
18-34
Unweighted
18%
Weighted
47%
Target*
47%
35-54
28%
27%
27%
55+
54%
26%
26%
Greenbrier, Barracks/Rugby, Meadows
19%
11%
11%
JPA, Fry's Springs, Johnson Village
17%
20%
20%
North Downtown, Locust Grove, Martha Je..
25%
19%
19%
Ridge, Belmont, Woolen Mills
23%
20%
20%
Rose Hill, 10th and Page, Starr Hill and Fif..
10%
16%
16%
6%
14%
14%
96%
95%
95%
Venable, Lewis Mountain, Barracks Road
Hispanic origin
No, not Spanish, Hispanic, or Latino
Spanish, Hispanic, or Latino
4%
5%
5%
Own
71%
40%
40%
Rent
29%
60%
60%
Attached
29%
54%
54%
Detached
71%
46%
46%
Race & Hispanic
origin
Not white alone
16%
32%
32%
White alone, not Hispanic or Latino
84%
68%
68%
Sex
Man
46%
48%
48%
Woman
54%
52%
52%
Man 18-34
8%
23%
23%
Man 35-54
16%
13%
13%
Man 55+
23%
12%
12%
Woman 18-34
11%
24%
24%
Woman 35-54
13%
14%
14%
Woman 55+
31%
14%
14%
Housing tenure
Housing type
Sex/age
4
The survey datasets were analyzed using all or some of a combination
of the Statistical Package for the Social Sciences (SPSS), R,
Python and Tableau. For the most part, the percentages presented in the reports represent the “percent positive.” The percent
positive is the combination of the top two most positive response options (i.e., excellent/good, very safe/somewhat safe,