Detailed Tables: Health Risks and Behaviors
Indicator 21 : Vaccinations
| TABLE 21a - PERCENTAGE OF PEOPLE AGE 65 AND OVER WHO REPORTED HAVING BEEN VACCINATED
AGAINST INFLUENZA AND PNEUMOCOCCAL DISEASE, BY RACE AND HISPANIC ORIGIN, SELECTED YEARS 1989-2002
|
| |
Non-Hispanic or Latino white |
Non-Hispanic or Latino black |
Hispanic or Latino |
| |
Percent |
| |
|
SE |
|
SE |
|
SE |
| INFLUENZA |
| 1989 |
32.0 |
0.6 |
17.7 |
1.1 |
23.8 |
2.2 |
| 1991 |
42.8 |
0.7 |
26.5 |
1.8 |
33.2 |
3.4 |
| 1993 |
53.1 |
0.9 |
31.1 |
2.5 |
46.2 |
5.0 |
| 1994 |
56.9 |
1.0 |
37.7 |
2.8 |
36.6 |
4.2 |
| 1995 |
60.0 |
1.0 |
39.5 |
2.9 |
49.5 |
3.9 |
| 1997 |
65.8 |
0.7 |
44.6 |
2.3 |
52.7 |
3.0 |
| 1998 |
65.6 |
0.8 |
45.9 |
2.3 |
50.3 |
2.7 |
| 1999 |
67.9 |
0.8 |
49.7 |
2.3 |
55.1 |
2.7 |
| 2000 |
66.6 |
0.8 |
47.9 |
2.3 |
55.7 |
2.6 |
| 2001 |
65.4 |
0.8 |
47.9 |
2.5 |
51.9 |
2.7 |
| 2002 |
68.7 |
0.8 |
49.5 |
2.4 |
48.5 |
2.7 |
| |
| PNEUMOCOCCAL DISEASE |
| 1989 |
15.0 |
0.5 |
6.2 |
0.7 |
9.8 |
1.5 |
| 1991 |
21.0 |
0.6 |
13.2 |
1.6 |
11.0 |
2.1 |
| 1993 |
28.7 |
0.8 |
13.1 |
1.7 |
12.2 |
3.0 |
| 1994 |
30.5 |
0.9 |
13.9 |
1.9 |
13.7 |
2.9 |
| 1995 |
34.2 |
1.0 |
20.5 |
2.5 |
21.6 |
3.2 |
| 1997 |
45.6 |
0.8 |
22.2 |
2.3 |
23.5 |
2.3 |
| 1998 |
49.5 |
0.8 |
26.0 |
1.9 |
22.8 |
2.2 |
| 1999 |
53.1 |
0.9 |
32.3 |
2.3 |
27.9 |
2.6 |
| 2000 |
56.8 |
0.8 |
30.5 |
2.0 |
30.4 |
2.7 |
| 2001 |
57.8 |
0.9 |
33.9 |
2.6 |
32.9 |
2.5 |
| 2002 |
60.3 |
0.8 |
36.9 |
2.3 |
27.1 |
2.4 |
| Note:
People of Hispanic or Latino origin may be of any race. For influenza, the
percentage vaccinated consists of people who reported having a flu shot
during the past 12 months. For pneumococcal disease, the percentage refers
to people who reported ever having a pneumonia vaccination. |
| See Appendix B for the definition of race and ethnicity in the National Health
Interview Survey. |
| Reference Population: These data refer to the civilian noninstitutionalized
population. |
| Source:
Centers for Disease Control and Prevention, National Center for Health
Statistics, National Health Interview Survey. |
| TABLE 21b - PERCENTAGE OF PEOPLE
AGE 65 AND OVER WHO REPORTED HAVING BEEN VACCINATED AGAINST INFLUENZA AND PNEUMOCOCCAL DISEASE,
BY SELECTED CHARACTERISTICS, 2002
|
| Selected characteristic |
Influenza |
Pneumococcal disease |
| |
Percent |
| |
|
SE |
|
SE |
| Both Sexes |
65.8 |
0.7 |
56.0 |
0.8 |
| Men |
67.0 |
1.2 |
55.6 |
1.2 |
| Women |
64.5 |
0.9 |
55.8 |
0.9 |
| |
|
|
|
|
| 65 TO 74 |
60.8 |
1.1 |
50.0 |
1.0 |
| 75 TO 84 |
71.5 |
1.1 |
62.5 |
1.2 |
| 85 and over |
70.2 |
1.2 |
62.8 |
2.3 |
| |
|
|
|
|
| High school graduate or less |
62.8 |
0.9 |
52.8 |
0.9 |
| More than high school |
70.9 |
1.1 |
61.7 |
1.2 |
| Note:
For influenza, the percentage vaccinated consists of people who reported
having a flu shot during the past 12 months. For pneumococcal disease, the
percentage refers to people who reported ever having a pneumonia
vaccination. |
| Reference population: These data refer to the civilian noninstitutionalized
population. |
| Source:
Centers for Disease Control and Prevention, National Center for Health
Statistics, National Health Interview Survey. |
Indicator 22 : Mammography
| TABLE 22 - PERCENTAGE OF WOMEN
AGE 65 AND OVER WHO REPORTED HAVING HAD A MAMMOGRAM WITHIN THE PAST
2 YEARS, BY SELECTED CHARACTERISTICS, SELECTED YEARS 1987-2000
|
| Selected characteristics |
1987 |
1990 |
1991 |
1993 |
1994 |
1998 |
1999 |
2000 |
| |
| All women 65 and over |
22.8 |
43.4 |
48.1 |
54.2 |
55.0 |
63.8 |
66.8 |
68.0 |
| White, not Hispanic or Latino |
24.0 |
43.8 |
49.1 |
54.7 |
54.9 |
64.3 |
66.8 |
68.3 |
| Black, not Hispanic or Latino |
14.1 |
39.7 |
41.6 |
56.3 |
61.0 |
60.6 |
68.1 |
65.5 |
| Hispanic or Latino |
13.7 |
41.1 |
40.9 |
35.7 |
48.0 |
59.0 |
67.2 |
68.2 |
| |
|
|
|
|
|
|
|
|
| Below poverty |
13.6 |
30.8 |
35.2 |
40.4 |
43.9 |
52.3 |
57.3 |
55.4 |
| Above poverty |
25.5 |
46.2 |
51.1 |
56.4 |
57.7 |
66.2 |
67.8 |
70.0 |
| |
|
|
|
|
|
|
|
|
| No high school diploma or GED |
16.5 |
33.0 |
37.7 |
44.2 |
45.6 |
54.7 |
56.6 |
57.5 |
| High school diploma or GED |
25.9 |
47.5 |
54.0 |
57.4 |
59.1 |
66.8 |
68.4 |
72.0 |
| Some college or more |
32.3 |
56.7 |
57.9 |
64.8 |
64.3 |
71.3 |
77.1 |
74.1 |
| Note:
Questions concerning use of mammography differed slightly on the National
Health Interview Survey (NHIS) across the years for which data are shown.
In 1987 and 1990 women were asked to report when they had their last
mammogram. In 1991 women were asked whether they had a mammogram in the
past 2 years. In 1993 and 1994 women were asked whether they had a
mammogram within the past year, between 1 and 2 years ago, or over 2 years
ago. In 1998 women were asked whether they had a mammogram a year ago or
less, more than 1 year but not more than 2 years, or more than 2 years
ago. In 1999 women were asked when they had their most recent mammogram in
days, weeks, months, or years. In 1999, 10 percent of women in the sample
responded "2 years ago," and in this analysis these women were
coded as "within the past 2 years" although a response of
"2 years ago" may include women whose last mammogram was more
than 2 but less than 3 years ago. Thus estimates for 1999 are
overestimated to some degree in comparison with estimates in previous
years. In 2000 women were asked when they had their most recent mammogram
(give month and year). Women who did not respond were given a follow-up
question that used the 1999 wording, and women who did not answer the
follow-up question were asked a second follow-up question that used the
1998 wording. In 2000, 2 percent of women in the sample answered "2
years ago" using the 1999 wording, and they were coded as
"within the past 2 years." Thus estimates for 2000 may be
slightly overestimated in comparison with estimates for years prior to
1999. People of Hispanic or Latino origin may be of any race. See Appendix
B for the definition of race and ethnicity in the NHIS. |
| Reference
population: These data refer to the civilian noninstitutionalized
population. |
| Source:
Centers for Disease Control and Prevention, National Center for Health
Statistics, National Health Interview Survey. |
Indicator 23 : Dietary Quality
| TABLE 23a - DIETARY QUALITY RATINGS OF PEOPLE AGE 45 AND OVER, AS MEASURED BY THE HEALTHY
EATING INDEX, BY AGE GROUP AND POVERTY STATUS, 1999-2000 |
| |
Age Group |
|
|
Poverty status among people age 65 and over |
| Rating |
45-64 |
|
65 and over |
|
|
Below poverty |
|
Above poverty |
|
| |
| |
Percent |
| |
|
SE |
|
SE |
|
|
SE |
|
SE |
| Good |
12.4 |
1.5 |
19.4 |
1.6 |
|
8.8 |
2.8 |
21.3 |
1.6 |
| Needs improvement |
69.0 |
1.9 |
66.7 |
1.7 |
|
77.2 |
3.7 |
64.8 |
1.9 |
| Poor |
18.6 |
1.9 |
13.9 |
1.5 |
|
14.0 |
4.0 |
13.9 |
1.6 |
| Note: These data were collected between 1999 and 2000. Dietary quality
was measured using the Healthy Eating Index (HEI). The HEI consists of 10
components, each representing a different aspect of a healthful diet based
on the U.S. Department of Agriculture's Food Guide Pyramid and the
Dietary Guidelines for Americans. See http://www.cnpp.usda.gov/healthyeating.html
Components 1-5 measure the degree to which a person's diet conforms to
the Pyramid serving recommendations for the five major food groups:
grains, vegetables, fruits, milk, and meat/meat alternatives. Components
6-9 measure intake of fat, saturated fat, cholesterol, and sodium.
Component 10 measures the degree of variety
in a person's diet. Scores for each component are given equal
weight and added to calculate an overall HEI score with a maximum value of
100. An HEI score above 80 indicates a good diet, and HEI score between 51
and 80 signals a diet that needs improvement, and an HEI score below 51
indicates a poor diet. See Appendix C for the definition of poverty. |
| Reference population: These data refer to the civilian noninstitutionalized
population. |
| Source:
Centers for Disease Control and Prevention, National Center for Health
Statistics, National Health and Nutrition Examination Survey. |
| TABLE 23b - AVERAGE SCORES ON A
SCALE FROM 1 TO 10, OF PEOPLE AGE 65 AND OVER FOR COMPONENTS OF THE
HEALTHY EATING INDEX (HEI), 1999-2000 |
| HEI COMPONENT |
AVERAGE SCORE |
| |
|
| GRAINS |
6.4 |
| VEGETABLES |
6.4 |
| FRUITS |
5.5 |
| MILK |
5.9 |
| MEAT |
6.4 |
| TOTAL FAT |
6.9 |
| SATURATED FAT |
6.9 |
| CHOLESTEROL |
8.1 |
| SODIUM |
7.1 |
| VARIETY |
8.2 |
| |
|
| TOTAL HEI |
67.6 |
| Note:
These data were collected between 1999 and 2000. Dietary quality was
measured using the Healthy Eating Index (HEI). The HEI consists of 10
components, each representing a different aspect of a healthful diet based
on the U.S. Department of Agriculture's Food Guide Pyramid and the Dietary
Guidelines for Americans. Components 1-5 measure the degree to which
a person's diet conforms to the Pyramid serving recommendations for the
five major food groups: grains, vegetables, fruits, milk, and meat/meat
alternatives. Components 6-9 measure intake of fat, saturated fat,
cholesterol and sodium. Component 10 measures the degree of variety in a
person's diet. Scores for each component are given equal weight and added
to calculate an overall HEI score with a maximum value of 100. An HEI
score above 80 indicates a good diet, an HEI score between 51 and 80
signals a diet that needs improvement, and an HEI score below 51 indicates
a poor diet. for information on the definition of poverty. |
| Reference
population: These data refer to the civilian noninstitutionalized
population. |
| Source:
Centers for Disease Control and Prevention, National Center for Health
Statistics, National Health and Nutrition Examination Survey. |
Indicator 24 : Physical Activity
| TABLE 24a - PERCENTAGE OF PEOPLE
AGE 45 AND OVER WHO REPORTED ENGAGING IN REGULAR LEISURE TIME PHYSICAL
ACTIVITY, BY AGE GROUP, 1997-2002 |
| AGE GROUP |
1997-1998 |
SE |
1998-1999 |
SE |
1999-2000 |
SE |
2000-2001 |
SE |
2001-2002 |
SE |
| Percent |
| |
| 65 and over (age adjusted) |
20.3 |
0.4 |
20.1 |
0.4 |
21.1 |
0.5 |
21.5 |
0.5 |
21.4 |
0.5 |
| 45-64 |
29.1 |
0.4 |
28.2 |
0.4 |
28.9 |
0.4 |
29.8 |
0.4 |
30.1 |
0.5 |
| 65-74 |
24.9 |
0.6 |
25.0 |
0.6 |
26.0 |
0.7 |
26.7 |
0.7 |
26.4 |
0.7 |
| 75-84 |
17.0 |
0.6 |
15.9 |
0.7 |
17.3 |
0.7 |
17.7 |
0.7 |
18.0 |
0.7 |
| 85 and over |
9.0 |
0.9 |
10.5 |
1.0 |
9.7 |
0.9 |
8.4 |
0.8 |
8.6 |
0.9 |
| Note:
Data are based on 2-year averages. "Regular leisure time physical
activity" is defined as "engaging in light-moderate leisure time
physical activity for greater than or equal to 30 minutes at a frequency
greater than or equal to 5 times per week, or engaging in vigorous leisure
time physical activity for greater than or equal to 20 minutes at a
frequency greater than or equal to 3 times per week." |
| Reference population: These data refer to the civilian noninstitutionalized
population. |
| Source:
Centers for Disease Control and Prevention, National Center for Health
Statistics, National Health Interview Survey. |
| TABLE 24b - PERCENTAGE OF PEOPLE AGE 65 AND OVER WHO REPORTED ENGAGING IN
REGULAR LEISURE TIME PHYSICAL ACTIVITY, BY SELECTED CHARACTERISTICS,
2001-2002 |
| Selected characteristic |
Percent |
| Men |
25.6 |
| Women |
18.4 |
| |
|
| White, not Hispanic or Latino |
22.8 |
| Black, not Hispanic or Latino |
13.0 |
| Hispanic or Latino |
13.6 |
| |
|
| Percent who engage in strengthening exercises |
12.0 |
| Note: ;
Data are based on a 2-year average from 2001-2002. "Regular leisure
time physical activity" is defined as "engaging in
light-moderate leisure time physical activity for greater than or equal to
30 minutes at a frequency greater than or equal to 5 times per week, or
engaging in vigorous leisure time physical activity for greater than or
equal to 20 minutes at a frequency greater than or equal to 3 times per
week." See Appendix B for the definition of race and ethnicity in the
National Health Interview Survey. |
| Reference
population: These data refer to the civilian noninstitutionalized
population. |
| Source: Centers
for Disease Control and Prevention, National Center for Health Statistics,
National Health Interview Survey. |
Indicator 25 : Obesity
| TABLE 25 - BODY WEIGHT STATUS AMONG PEOPLE AGE 65 AND OVER, BY
SEX AND AGE GROUP, SELECTED YEARS 1960-2002 |
| Sex and age group |
1960-1962 |
SE |
1971-1974 |
SE |
1976-1980 |
SE |
1988-1994 |
SE |
1999-2002 |
SE |
| |
Percent |
| Underweight |
| Both sexes |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
2.8 |
0.3 |
2 |
0.4 |
| 65-74 |
4.2 |
0.7 |
3.4 |
0.5 |
3 |
0.5 |
2.1 |
0.5 |
1.9 |
0.4 |
| 75 and over |
na |
|
na |
|
na |
|
3.9 |
0.5 |
2.2 |
0.7 |
| Men |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
1.8 |
0.4 |
0.8 |
0.3 |
| 65-74 |
6.0 |
0.9 |
3.3 |
0.6 |
3.5 |
0.7 |
1.4 |
0.4 |
0.9 |
0.4 |
| 75 and over |
na |
|
na |
|
na |
|
2.6 |
0.6 |
0.6 |
0.4 |
| Women |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
3.5 |
0.5 |
2.9 |
0.7 |
| 65-74 |
2.7 |
0.9 |
3.5 |
0.6 |
2.7 |
0.6 |
2.7 |
0.7 |
2.8 |
0.7 |
| 75 and over |
na |
|
na |
|
na |
|
4.7 |
0.6 |
3.1 |
1.2 |
| |
| Healthy weight |
| Both sexes |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
37.1 |
1.3 |
29.1 |
1.4 |
| 65-74 |
40.7 |
2.9 |
41.3 |
1.3 |
39.7 |
1.3 |
33.8 |
1.8 |
24.8 |
1.9 |
| 75 and over |
na |
|
na |
|
na |
|
42.2 |
1.3 |
35 |
2.2 |
| Men |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
33.8 |
1.7 |
26.4 |
1.1 |
| 65-74 |
46.2 |
3.8 |
42.1 |
1.5 |
42.3 |
1.7 |
30.1 |
2.2 |
22.8 |
1.8 |
| 75 and over |
na |
|
na |
|
na |
|
40.9 |
1.9 |
32.0 |
2.2 |
| Women |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
39.6 |
1.4 |
31.2 |
2.2 |
| 65-74 |
36.4 |
3.5 |
40.6 |
1.8 |
37.8 |
1.7 |
37.0 |
2.0 |
26.4 |
3 |
| 75 and over |
na |
|
na |
|
na |
|
43.0 |
1.6 |
36.9 |
3.3 |
| |
|
|
|
|
|
|
|
|
|
|
| Overweight |
| Both sexes |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
60.1 |
1.3 |
68.8 |
1.3 |
| 65-74 |
55.1 |
3.1 |
55.3 |
1.2 |
57.2 |
1.5 |
64.1 |
1.7 |
73.3 |
1.9 |
| 75 and over |
na |
|
na |
|
na |
|
53.9 |
1.2 |
62.8 |
2.2 |
| Men |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
64.4 |
1.7 |
72.8 |
1.2 |
| 65-74 |
47.8 |
3.8 |
54.6 |
1.5 |
54.2 |
1.9 |
68.5 |
2.1 |
76.2 |
1.8 |
| 75 and over |
na |
|
na |
|
na |
|
56.5 |
2.0 |
67.4 |
2.3 |
| Women |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
56.9 |
1.3 |
65.9 |
2.0 |
| 65-74 |
60.9 |
3.7 |
55.9 |
1.8 |
59.5 |
1.7 |
60.3 |
1.8 |
70.9 |
3.0 |
| 75 and over |
na |
|
na |
|
na |
|
52.3 |
1.5 |
59.9 |
3.3 |
| |
|
|
|
|
|
|
|
|
|
|
| Obese |
| Both sexes |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
22.2 |
0.9 |
29.8 |
1.2 |
| 65-74 |
17.5 |
1.9 |
17.2 |
1.0 |
17.9 |
0.9 |
25.6 |
1.2 |
35.9 |
1.7 |
| 75 and over |
na |
|
na |
|
na |
|
17.0 |
1.1 |
21.5 |
1.6 |
| Men |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
20.3 |
1.5 |
26.5 |
1.7 |
| 65-74 |
10.4 |
2.1 |
10.9 |
0.7 |
13.2 |
1.1 |
24.1 |
1.8 |
31.9 |
2.3 |
| 75 and over |
na |
|
na |
|
na |
|
13.2 |
2.1 |
18.0 |
2.2 |
| Women |
|
|
|
|
|
|
|
|
|
|
| 65 and over |
na |
|
na |
|
na |
|
23.6 |
1.1 |
32.2 |
1.7 |
| 65-74 |
23.2 |
2.8 |
22.0 |
1.5 |
21.5 |
1.3 |
26.9 |
1.5 |
39.3 |
3.0 |
| 75 and over |
na |
|
na |
|
na |
|
19.2 |
1.3 |
23.6 |
2.2 |
| na Data not available. |
| Note: Data are based on measured height and weight.
Height was measured without shoes; 2 pounds were deducted
from data for 1960-1962 to allow for weight of clothing. Underweight is
defined as having a body mass index (BMI) less than 18.5 kilograms/meter2.
Healthy weight is defined by a BMI of 18.5 to less than 25 kilograms/meter2.
Overweight is defined as having a BMI greater than or equal to 25; obese is defined
by a BMI of 30 or greater. Percentages do not sum to 100 because the
percentage of people who are obese is a subset of the percentage of those
who are overweight. See Appendix C for the definition of BMI. |
| Reference
Population: These data refer to the civilian noninstitutionalized
population. |
| Source:
Centers for Disease Control and Prevention, National Center for Health
Statistics, National Health and Nutrition Examination Survey. |
Indicator 26 : Cigarette Smoking
| TABLE 26a - PERCENTAGE OF PEOPLE AGE 45 AND OVER WHO ARE CURRENT CIGARETTE
SMOKERS, BY SELECTED CHARACTERISTICS, SELECTED YEARS 1965-2002 |
| |
Total |
White |
Black or African American |
| Year |
45-64 |
65 and over |
45-64 |
65 and over |
45-64 |
65 and over |
| Men |
| 1965 |
51.9 |
28.5 |
51.3 |
27.7 |
57.9 |
36.4 |
| 1974 |
42.6 |
24.8 |
41.2 |
24.3 |
57.8 |
29.7 |
| 1979 |
39.3 |
20.9 |
38.3 |
20.5 |
50 |
26.2 |
| 1983 |
35.9 |
22 |
35 |
20.6 |
44.8 |
38.9 |
| 1985 |
33.4 |
19.6 |
32.1 |
18.9 |
46.1 |
27.7 |
| 1987 |
33.5 |
17.2 |
32.4 |
16 |
44.3 |
30 |
| 1988 |
31.3 |
18 |
30 |
16.9 |
43.2 |
29.8 |
| 1990 |
29.3 |
14.6 |
28.7 |
13.7 |
36.7 |
21.5 |
| 1991 |
29.3 |
15.1 |
28 |
14.2 |
42 |
24.3 |
| 1992 |
28.6 |
16.1 |
28.1 |
14.9 |
35.4 |
28.3 |
| 1993 |
29.2 |
13.5 |
27.8 |
12.5 |
42.4 |
*27.9 |
| 1994 |
28.3 |
13.2 |
26.9 |
11.9 |
41.2 |
25.6 |
| 1995 |
27.1 |
14.9 |
26.3 |
14.1 |
33.9 |
28.5 |
| 1997 |
27.6 |
12.8 |
26.5 |
11.5 |
39.4 |
26 |
| 1998 |
27.7 |
10.4 |
27 |
10 |
37.3 |
16.3 |
| 1999 |
25.8 |
10.5 |
24.5 |
10 |
35.7 |
17.3 |
| 2000 |
26.4 |
10.2 |
25.8 |
9.8 |
32.2 |
14.2 |
| 2001 |
26.4 |
11.5 |
25.1 |
10.7 |
34.3 |
21.1 |
| 2002 |
24.5 |
10.1 |
24.4 |
9.3 |
29.9 |
19.4 |
| Women |
| 1965 |
32 |
9.6 |
32.7 |
9.8 |
25.7 |
7.1 |
| 1974 |
33.4 |
12 |
33 |
12.3 |
38.9 |
*8.9 |
| 1979 |
30.7 |
13.2 |
30.6 |
13.8 |
34.2 |
*8.5 |
| 1983 |
31 |
13.1 |
30.6 |
13.2 |
36.3 |
*13.1 |
| 1985 |
29.9 |
13.5 |
29.7 |
13.3 |
33.4 |
14.5 |
| 1987 |
28.6 |
13.7 |
29 |
13.9 |
28.4 |
11.7 |
| 1988 |
27.7 |
12.8 |
27.7 |
12.6 |
29.5 |
14.8 |
| 1990 |
24.8 |
11.5 |
25.4 |
11.5 |
22.6 |
11.1 |
| 1991 |
24.6 |
12 |
25.3 |
12.1 |
2304 |
9.6 |
| 1992 |
26.1 |
12.4 |
25.8 |
12.6 |
30.9 |
*11.1 |
| 1993 |
23 |
10.5 |
23.4 |
10.5 |
21.3 |
*10.2 |
| 1994 |
22.8 |
11.1 |
23.2 |
11.1 |
23.5 |
13.6 |
| 1995 |
24 |
11.5 |
24.3 |
11.7 |
27.5 |
13.3 |
| 1997 |
21.5 |
11.5 |
20.9 |
11.7 |
28.4 |
10.7 |
| 1998 |
22.5 |
11.2 |
22.5 |
11.2 |
25.4 |
11.5 |
| 1999 |
21 |
10.7 |
21.2 |
10.5 |
22.3 |
13.5 |
| 2000 |
21.6 |
9.3 |
21.4 |
9.1 |
25.6 |
10.2 |
| 2001 |
21.4 |
9.2a |
21.6 |
9.4 |
22.6 |
9.3 |
| 2002 |
21.1 |
8.6 |
21.5 |
8.5 |
22.2 |
9.4 |
| * Estimates are
considered unreliable. Data preceded by an asterisk have a relative
standard error of 20-30 percent. |
| a
The value for all women includes other races which have a very low rate of
cigarette smoking. Thus, the weighted average for all women is slightly
lower than that for white women. |
| Note:
Data are based on household interviews of a sample of the civilian
noninstitutionalized population. Data starting in 1997 are not strictly
comparable with data for earlier years due to the 1997 NHIS questionnaire
redesign. See Appendix B for the definition of race and ethnicity in the
National Health Interview Survey. |
| Reference
population: These data refer to the civilian noninstitutionalized
population. |
| Source: Centers for Disease Control and Prevention, National Center for Health Statistics,
National Health Interview Survey. Data are from the core questionnaire
(1965) and the following questionnaire supplements: hypertension (1974),
smoking (1979), alcohol and health practices (1983), health promotion and
disease prevention (1985, 1990-1991), cancer control and cancer
epidemiology (1987, 1992), occupational health (1988), and year 2000
objectives (1993-1995). Starting in 1997 data are from the family core and
sample adult questionnaires. |
| TABLE 26b - CIGARETTE SMOKING STATUS OF PEOPLE AGE 18 AND OVER, BY SEX AND AGE
GROUP, 2002 |
| |
All current smokers |
SE |
Everyday smokers |
SE |
Some day smokers |
SE |
Former smokers |
SE |
Non-smokers |
SE |
| Sex and age group |
|
| |
Percent |
| |
| Both sexes |
22.3 |
0.3 |
18.4 |
0.3 |
4.1 |
0.1 |
22.6 |
0.3 |
54.9 |
0.4 |
| Men |
| 18-44 |
29.3 |
0.7 |
23.2 |
0.6 |
6.4 |
0.3 |
13.0 |
0.5 |
57.4 |
0.7 |
| 45-64 |
24.2 |
0.7 |
21.0 |
0.7 |
3.5 |
0.3 |
35.8 |
0.8 |
39.7 |
0.9 |
| 65 and over |
10.0 |
0.7 |
9.1 |
0.7 |
1.0 |
0.2 |
56.5 |
1.2 |
33.4 |
1.2 |
| Women |
| 18-44 |
23.0 |
0.6 |
18.8 |
0.6 |
4.4 |
0.3 |
13.2 |
0.5 |
63.6 |
0.7 |
| 45-64 |
20.9 |
0.6 |
17.8 |
0.6 |
3.3 |
0.3 |
23.4 |
0.7 |
55.6 |
0.9 |
| 65 and over |
8.5 |
0.5 |
7.4 |
0.5 |
1.2 |
0.2 |
28.6 |
0.9 |
62.8 |
1.0 |
| Note: Data are based on
household interviews of a sample of the civilian noninstitutionalized
population. Data for "All Current Smokers" do not match the data
in table 26a because of rounding. |
| Reference
population: These data refer to the civilian noninstitutionalized
population. |
| Source:
Centers for Disease Control and Prevention, National Center for Health
Statistics, National Health Interview Survey. |
Indicator 27 : Air Quality
| TABLE 27a - PERCENTAGE OF PEOPLE AGE 65 AND OVER LIVING IN COUNTIES WITH "POOR AIR
QUALITY," 2000-2002 |
| Pollutant measures |
2000 |
2001 |
2002 |
| |
Percent |
| Particulate matter (PM 2.5) |
27.3 |
24.3 |
19.4 |
| 8hr Ozone |
26.2 |
37.5 |
45.7 |
| Any standard |
41.0 |
44.9 |
8.8 |
| Note: The term "Poor air
quality" is defined as air quality concentrations above the level of
the National Ambient Air Quality Standards (NAAQS). The term "Any
standard" refers to any NAAQS for ozone, particulate matter, nitrogen
dioxide, sulfur dioxide, carbon monoxide, and lead. These are single-year
observations and do not represent non-attainment calculations that are
based on multiple years of data. For particulate matter (PM 2.5) estimates
in 2000, the counties with air quality values above the level of NAAQS for
PM 2.5 are based only on data collected for monitors with complete data
for the entire year. |
| Reference population: These data refer to the resident population. |
| Source: U.S. Environmental Protection Agency, Office of Air Quality Planning and
Standards, Air Quality System; U.S. Census Bureau, Population Projections,
2000-2002. |
| Table 27b. Counties with "Poor air quality" for one or more standards in 2002 |
| State |
County |
| Alabama |
Jefferson |
| Alabama |
Montgomery |
| Alabama |
Morgan |
| Alabama |
Russell |
| Alabama |
Shelby |
| Arizona |
Gila |
| Arizona |
Maricopa |
| Arizona |
Pima |
| Arizona |
Santa Cruz |
| Arizona |
Yavapai |
| Arkansas |
Crittenden |
| Arkansas |
Pulaski |
| California |
Alameda |
| California |
Amador |
| California |
Butte |
| California |
Calaveras |
| California |
El Dorado |
| California |
Fresno |
| California |
Imperial |
| California |
Inyo |
| California |
Kern |
| California |
Kings |
| California |
Los Angeles |
| California |
Madera |
| California |
Mariposa |
| California |
Merced |
| California |
Mono |
| California |
Nevada |
| California |
Orange |
| California |
Placer |
| California |
Riverside |
| California |
Sacramento |
| California |
San Benito |
| California |
San Bernardino |
| California |
San Diego |
| California |
San Joaquin |
| California |
Santa Barbara |
| California |
Stanislaus |
| California |
Sutter |
| California |
Tehama |
| California |
Tulare |
| California |
Tuolumne |
| California |
Ventura |
| California |
Yolo |
| Colorado |
Jefferson |
| Colorado |
Larimer |
| Connecticut |
Fairfield |
| Connecticut |
Hartford |
| Connecticut |
Litchfield |
| Connecticut |
Middlesex |
| Connecticut |
New Haven |
| Connecticut |
New London |
| Connecticut |
Tolland |
| Delaware |
Kent |
| Delaware |
New Castle |
| Delaware |
Sussex |
| District of Columbia |
District of Columbia |
| Georgia |
Bibb |
| Georgia |
Cherokee |
| Georgia |
Clayton |
| Georgia |
Cobb |
| Georgia |
Coweta |
| Georgia |
Dawson |
| Georgia |
DeKalb |
| Georgia |
Douglas |
| Georgia |
Fayette |
| Georgia |
Floyd |
| Georgia |
Fulton |
| Georgia |
Gwinnett |
| Georgia |
Henry |
| Georgia |
Murray |
| Georgia |
Paulding |
| Georgia |
Richmond |
| Georgia |
Rockdale |
| Illinois |
Clark |
| Illinois |
Cook |
| Illinois |
Hamilton |
| Illinois |
Jersey |
| Illinois |
Lake |
| Illinois |
Macon |
| Illinois |
Macoupin |
| Illinois |
Madison |
| Illinois |
McHenry |
| Illinois |
McLean |
| Illinois |
Randolph |
| Illinois |
St. Clair |
| Illinois |
Will |
| Indiana |
Allen |
| Indiana |
Boone |
| Indiana |
Carroll |
| Indiana |
Clark |
| Indiana |
Delaware |
| Indiana |
Dubois |
| Indiana |
Elkhart |
| Indiana |
Floyd |
| Indiana |
Greene |
| Indiana |
Hamilton |
| Indiana |
Hancock |
| Indiana |
Hendricks |
| Indiana |
Huntington |
| Indiana |
Jackson |
| Indiana |
Johnson |
| Indiana |
Lake |
| Indiana |
LaPorte |
| Indiana |
Madison |
| Indiana |
Marion |
| Indiana |
Morgan |
| Indiana |
Porter |
| Indiana |
Posey |
| Indiana |
Shelby |
| Indiana |
St. Joseph |
| Indiana |
Vanderburgh |
| Indiana |
Vigo |
| Indiana |
Warrick |
| Kentucky |
Bell |
| Kentucky |
Boone |
| Kentucky |
Boyd |
| Kentucky |
Bullitt |
| Kentucky |
Campbell |
| Kentucky |
Carter |
| Kentucky |
Christian |
| Kentucky |
Daviess |
| Kentucky |
Edmonson |
| Kentucky |
Fayette |
| Kentucky |
Graves |
| Kentucky |
Hancock |
| Kentucky |
Henderson |
| Kentucky |
Jefferson |
| Kentucky |
Jessamine |
| Kentucky |
Kenton |
| Kentucky |
Livingston |
| Kentucky |
McCracken |
| Kentucky |
McLean |
| Kentucky |
Oldham |
| Kentucky |
Perry |
| Kentucky |
Warren |
| Louisiana |
East Baton Rouge |
| Maine |
Cumberland |
| Maine |
Hancock |
| Maine |
Kennebec |
| Maine |
Knox |
| Maine |
Penobscot |
| Maine |
Sagadahoc |
| Maine |
York |
| Maryland |
Anne Arundel |
| Maryland |
Baltimore |
| Maryland |
Baltimore City |
| Maryland |
Carroll |
| Maryland |
Cecil |
| Maryland |
Charles |
| Maryland |
Frederick |
| Maryland |
Harford |
| Maryland |
Kent |
| Maryland |
Montgomery |
| Maryland |
Prince George's |
| Maryland |
Washington |
| Massachusetts |
Barnstable |
| Massachusetts |
Berkshire |
| Massachusetts |
Bristol |
| Massachusetts |
Essex |
| Massachusetts |
Hampden |
| Massachusetts |
Hampshire |
| Massachusetts |
Middlesex |
| Massachusetts |
Norfolk |
| Massachusetts |
Suffolk |
| Massachusetts |
Worcester |
| Michigan |
Allegan |
| Michigan |
Benzie |
| Michigan |
Berrien |
| Michigan |
Cass |
| Michigan |
Clinton |
| Michigan |
Genesee |
| Michigan |
Huron |
| Michigan |
Ingham |
| Michigan |
Kalamazoo |
| Michigan |
Kent |
| Michigan |
Lenawee |
| Michigan |
Macomb |
| Michigan |
Mason |
| Michigan |
Monroe |
| Michigan |
Muskegon |
| Michigan |
Oakland |
| Michigan |
Ottawa |
| Michigan |
St. Clair |
| Michigan |
Washtenaw |
| Michigan |
Wayne |
| Mississippi |
DeSoto |
| Missouri |
Clay |
| Missouri |
Jasper |
| Missouri |
Jefferson |
| Missouri |
Monroe |
| Missouri |
Platte |
| Missouri |
St. Charles |
| Missouri |
St. Louis |
| Missouri |
St. Louis City |
| Missouri |
Ste. Genevieve |
| Montana |
Lincoln |
| Nevada |
Clark |
| New
Hampshire |
Coos |
| New
Hampshire |
Hillsborough |
| New
Hampshire |
Merrimack |
| New
Hampshire |
Rockingham |
| New
Hampshire |
Strafford |
| New
Jersey |
Atlantic |
| New
Jersey |
Bergen |
| New
Jersey |
Camden |
| New
Jersey |
Cumberland |
| New
Jersey |
Essex |
| New
Jersey |
Gloucester |
| New
Jersey |
Hudson |
| New
Jersey |
Hunterdon |
| New
Jersey |
Mercer |
| New
Jersey |
Middlesex |
| New
Jersey |
Monmouth |
| New
Jersey |
Morris |
| New
Jersey |
Ocean |
| New
Jersey |
Passaic |
| New York |
Albany |
| New York |
Bronx |
| New York |
Chautauqua |
| New York |
Chemung |
| New York |
Dutchess |
| New York |
Erie |
| New York |
Essex |
| New York |
Hamilton |
| New York |
Jefferson |
| New York |
Madison |
| New York |
Monroe |
| New York |
New York |
| New York |
Niagara |
| New York |
Oneida |
| New York |
Onondaga |
| New York |
Orange |
| New York |
Putnam |
| New York |
Queens |
| New York |
Rensselaer |
| New York |
Richmond |
| New York |
Saratoga |
| New York |
Suffolk |
| New York |
Wayne |
| New York |
Westchester |
| North
Carolina |
Alexander |
| North
Carolina |
Avery |
| North
Carolina |
Buncombe |
| North
Carolina |
Caldwell |
| North
Carolina |
Caswell |
| North
Carolina |
Catawba |
| North
Carolina |
Chatham |
| North
Carolina |
Cumberland |
| North
Carolina |
Davidson |
| North
Carolina |
Davie |
| North
Carolina |
Duplin |
| North
Carolina |
Durham |
| North
Carolina |
Edgecombe |
| North
Carolina |
Forsyth |
| North
Carolina |
Franklin |
| North
Carolina |
Granville |
| North
Carolina |
Guilford |
| North
Carolina |
Haywood |
| North
Carolina |
Jackson |
| North
Carolina |
Johnston |
| North
Carolina |
Lenoir |
| North
Carolina |
Lincoln |
| North
Carolina |
Martin |
| North
Carolina |
Mecklenburg |
| North
Carolina |
Northampton |
| North
Carolina |
Person |
| North
Carolina |
Pitt |
| North
Carolina |
Randolph |
| North
Carolina |
Rockingham |
| North
Carolina |
Rowan |
| North
Carolina |
Union |
| North
Carolina |
Wake |
| North
Carolina |
Yancey |
| Ohio |
Allen |
| Ohio |
Ashtabula |
| Ohio |
Butler |
| Ohio |
Clark |
| Ohio |
Clermont |
| Ohio |
Clinton |
| Ohio |
Cuyahoga |
| Ohio |
Delaware |
| Ohio |
Franklin |
| Ohio |
Geauga |
| Ohio |
Greene |
| Ohio |
Hamilton |
| Ohio |
Jefferson |
| Ohio |
Knox |
| Ohio |
Lake |
| Ohio |
Lawrence |
| Ohio |
Licking |
| Ohio |
Lorain |
| Ohio |
Lucas |
| Ohio |
Madison |
| Ohio |
Mahoning |
| Ohio |
Medina |
| Ohio |
Miami |
| Ohio |
Montgomery |
| Ohio |
Portage |
| Ohio |
Preble |
| Ohio |
Scioto |
| Ohio |
Stark |
| Ohio |
Summit |
| Ohio |
Trumbull |
| Ohio |
Warren |
| Ohio |
Washington |
| Ohio |
Wood |
| Oregon |
Klamath |
| Pennsylvania |
Adams |
| Pennsylvania |
Allegheny |
| Pennsylvania |
Armstrong |
| Pennsylvania |
Beaver |
| Pennsylvania |
Berks |
| Pennsylvania |
Blair |
| Pennsylvania |
Bucks |
| Pennsylvania |
Cambria |
| Pennsylvania |
Centre |
| Pennsylvania |
Chester |
| Pennsylvania |
Clearfield |
| Pennsylvania |
Dauphin |
| Pennsylvania |
Delaware |
| Pennsylvania |
Erie |
| Pennsylvania |
Franklin |
| Pennsylvania |
Greene |
| Pennsylvania |
Lackawanna |
| Pennsylvania |
Lancaster |
| Pennsylvania |
Lawrence |
| Pennsylvania |
Lehigh |
| Pennsylvania |
Luzerne |
| Pennsylvania |
Lycoming |
| Pennsylvania |
Mercer |
| Pennsylvania |
Montgomery |
| Pennsylvania |
Northampton |
| Pennsylvania |
Perry |
| Pennsylvania |
Philadelphia |
| Pennsylvania |
Tioga |
| Pennsylvania |
Washington |
| Pennsylvania |
Westmoreland |
| Pennsylvania |
York |
| Rhode
Island |
Kent |
| Rhode
Island |
Providence |
| Rhode
Island |
Washington |
| South
Carolina |
Abbeville |
| South
Carolina |
Aiken |
| South
Carolina |
Anderson |
| South
Carolina |
Barnwell |
| South
Carolina |
Cherokee |
| South
Carolina |
Chester |
| South
Carolina |
Chesterfield |
| South
Carolina |
Colleton |
| South
Carolina |
Darlington |
| South
Carolina |
Edgefield |
| South
Carolina |
Greenville |
| South
Carolina |
Oconee |
| South
Carolina |
Pickens |
| South
Carolina |
Richland |
| South
Carolina |
Spartanburg |
| South
Carolina |
Union |
| South
Carolina |
York |
| Tennessee |
Anderson |
| Tennessee |
Blount |
| Tennessee |
Hamilton |
| Tennessee |
Haywood |
| Tennessee |
Jefferson |
| Tennessee |
Knox |
| Tennessee |
Meigs |
| Tennessee |
Putnam |
| Tennessee |
Rutherford |
| Tennessee |
Sevier |
| Tennessee |
Shelby |
| Tennessee |
Sullivan |
| Tennessee |
Sumner |
| Tennessee |
Williamson |
| Tennessee |
Wilson |
| Texas |
Bexar |
| Texas |
Brazoria |
| Texas |
Cameron |
| Texas |
Collin |
| Texas |
Dallas |
| Texas |
Denton |
| Texas |
El Paso |
| Texas |
Ellis |
| Texas |
Galveston |
| Texas |
Harris |
| Texas |
Harrison |
| Texas |
Hood |
| Texas |
Johnson |
| Texas |
Orange |
| Texas |
Parker |
| Texas |
Tarrant |
| Texas |
Travis |
| Utah |
Davis |
| Utah |
Salt Lake |
| Vermont |
Bennington |
| Virginia |
Alexandria |
| Virginia |
Arlington |
| Virginia |
Caroline |
| Virginia |
Charles City |
| Virginia |
Chesterfield |
| Virginia |
Fairfax |
| Virginia |
Frederick |
| Virginia |
Hampton |
| Virginia |
Hanover |
| Virginia |
Henrico |
| Virginia |
Loudoun |
| Virginia |
Madison |
| Virginia |
Prince William |
| Virginia |
Roanoke |
| Virginia |
Salem |
| Virginia |
Stafford |
| Virginia |
Suffolk |
| Virginia |
Wythe |
| West Virginia |
Berkeley |
| West Virginia |
Brooke |
| West Virginia |
Cabell |
| West Virginia |
Hancock |
| West Virginia |
Kanawha |
| West Virginia |
Marion |
| West Virginia |
Marshall |
| West Virginia |
Monongalia |
| West Virginia |
Ohio |
| West Virginia |
Wood |
| Wisconsin |
Door |
| Wisconsin |
Kenosha |
| Wisconsin |
Kewaunee |
| Wisconsin |
Milwaukee |
| Wisconsin |
Ozaukee |
| Wisconsin |
Racine |
| Wisconsin |
Rock |
| Wisconsin |
Sheboygan |
| Wisconsin |
Washington |
| Wyoming |
Campbell |
| Wyoming |
Sweetwater |
| |
| Note: the term "Poor air quality" is defined as air quality concentrations above
the level of the National Ambient Air Quality Standards (NAAQS). The term "one or more standards"
refers to any NAAQS for ozone, particulate matter, nitrogen dioxide, sulfur dioxide,
carbon monoxide, and lead. These are single-year observations and do not represent
non-attainment calculations that are based on multiple years of data.
|
| |
| Reference population: These data refer to the resident population. |
| |
| Source: U.S. Environmental Protection Agency, Office of Air Quality Planning and
Standards, Air Quality System; U.S. Census Bureau, Population Projections, 2002. |
Last Modified: 5/12/2008 3:55:54 PM