E-Cigarette Use in Past Month, by Race/Ethnicity

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California	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	94.7%	2.1%	1.4%	1.2%	0.2%	0.4%
American Indian/Alaska Native	91.5%	1.6%	2.8%	1.4%	0.9%	1.9%
Asian	95.8%	1.3%	1.1%	0.9%	0.3%	0.7%
Hispanic/Latino	92.0%	2.9%	1.7%	1.6%	0.7%	1.1%
Native Hawaiian/Pacific Islander	88.4%	3.3%	3.8%	1.7%	1.2%	1.7%
White	90.1%	2.7%	1.8%	2.0%	1.1%	2.3%
Multiracial	91.0%	3.0%	1.4%	1.8%	1.4%	1.4%
Another Group	95.6%	1.7%	0.6%	1.1%	0.2%	0.9%

Alameda County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	93.5%	2.5%	1.6%	1.1%	0.7%	0.6%
American Indian/Alaska Native	92.9%	2.7%	0.3%	2.1%	0.1%	1.8%
Asian	96.6%	1.3%	0.7%	0.7%	0.3%	0.4%
Hispanic/Latino	90.0%	3.2%	2.2%	2.3%	1.0%	1.3%
Native Hawaiian/Pacific Islander	89.7%	3.6%	1.8%	2.5%	0.6%	1.8%
White	89.8%	2.5%	2.0%	2.4%	1.2%	2.1%
Multiracial	91.3%	2.4%	1.6%	2.2%	1.2%	1.2%
Another Group	92.2%	2.2%	0.9%	1.9%	0.3%	2.6%

Alpine County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	N/A	N/A	N/A	N/A	N/A	N/A
American Indian/Alaska Native	S	S	S	S	S	S
Asian	N/A	N/A	N/A	N/A	N/A	N/A
Hispanic/Latino	S	S	S	S	S	S
Native Hawaiian/Pacific Islander	N/A	N/A	N/A	N/A	N/A	N/A
White	S	S	S	S	S	S
Multiracial	S	S	S	S	S	S
Another Group	S	S	S	S	S	S

Amador County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	98.3%	0.0%	0.0%	0.0%	1.7%	0.0%
American Indian/Alaska Native	78.9%	4.9%	0.0%	6.3%	6.3%	3.7%
Asian	83.8%	11.8%	0.0%	0.0%	4.4%	0.0%
Hispanic/Latino	78.5%	3.9%	5.2%	4.2%	4.0%	4.2%
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	83.2%	4.8%	3.1%	3.1%	2.8%	3.1%
Multiracial	89.6%	5.9%	1.4%	0.6%	0.2%	2.3%
Another Group	97.2%	0.0%	2.8%	0.0%	0.0%	0.0%

Butte County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	96.3%	1.3%	0.0%	1.4%	0.0%	1.0%
American Indian/Alaska Native	96.3%	0.9%	0.6%	0.3%	0.0%	1.8%
Asian	95.4%	1.7%	0.5%	2.2%	0.0%	0.1%
Hispanic/Latino	96.2%	1.6%	1.0%	0.8%	0.2%	0.2%
Native Hawaiian/Pacific Islander	87.2%	7.0%	3.5%	0.0%	2.3%	0.0%
White	95.0%	2.0%	1.0%	1.0%	0.3%	0.8%
Multiracial	90.5%	1.6%	2.1%	2.1%	1.6%	2.2%
Another Group	97.1%	0.0%	0.5%	1.2%	0.7%	0.5%

Calaveras County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	95.3%	0.0%	0.0%	0.0%	2.4%	2.4%
American Indian/Alaska Native	90.6%	5.4%	0.0%	0.0%	0.0%	4.0%
Asian	86.0%	0.0%	4.8%	0.0%	0.0%	9.2%
Hispanic/Latino	88.9%	2.4%	2.2%	2.9%	1.3%	2.3%
Native Hawaiian/Pacific Islander	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
White	88.5%	3.3%	2.3%	2.4%	1.7%	1.8%
Multiracial	85.9%	2.2%	1.1%	6.6%	1.1%	3.0%
Another Group	93.6%	3.8%	0.0%	2.6%	0.0%	0.0%

Colusa County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	S	S	S	S	S	S
Asian	S	S	S	S	S	S
Hispanic/Latino	89.8%	4.2%	2.8%	1.8%	0.6%	0.8%
Native Hawaiian/Pacific Islander	N/A	N/A	N/A	N/A	N/A	N/A
White	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Multiracial	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Another Group	S	S	S	S	S	S

Contra Costa County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	91.3%	3.3%	1.6%	1.7%	0.2%	1.8%
American Indian/Alaska Native	92.8%	2.5%	1.4%	1.5%	0.1%	1.7%
Asian	96.1%	1.3%	0.7%	0.9%	0.3%	0.7%
Hispanic/Latino	91.1%	2.8%	2.0%	2.0%	0.8%	1.3%
Native Hawaiian/Pacific Islander	92.9%	1.6%	1.7%	1.9%	0.3%	1.7%
White	88.2%	3.3%	1.6%	1.9%	1.7%	3.3%
Multiracial	90.7%	2.4%	1.6%	2.0%	0.8%	2.3%
Another Group	96.9%	1.4%	1.0%	0.1%	0.4%	0.3%

Del Norte County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	84.7%	9.3%	3.4%	2.7%	0.0%	0.0%
Asian	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Hispanic/Latino	95.4%	1.6%	2.4%	0.5%	0.0%	0.0%
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	94.8%	2.3%	2.1%	0.0%	0.4%	0.4%
Multiracial	91.5%	2.4%	1.4%	2.6%	0.0%	2.1%
Another Group	S	S	S	S	S	S

El Dorado County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	84.3%	3.2%	2.5%	4.6%	0.0%	5.4%
American Indian/Alaska Native	83.7%	1.9%	2.1%	5.3%	1.3%	5.9%
Asian	95.5%	1.5%	0.5%	1.3%	0.4%	0.7%
Hispanic/Latino	84.1%	4.6%	2.2%	3.3%	2.3%	3.5%
Native Hawaiian/Pacific Islander	76.9%	6.5%	2.5%	6.2%	4.6%	3.4%
White	87.3%	3.2%	2.2%	2.3%	1.7%	3.4%
Multiracial	84.9%	4.8%	1.5%	3.2%	1.6%	3.9%
Another Group	93.7%	1.2%	3.4%	0.0%	0.0%	1.7%

Fresno County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	S	S	S	S	S	S
Asian	S	S	S	S	S	S
Hispanic/Latino	S	S	S	S	S	S
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	S	S	S	S	S	S
Multiracial	S	S	S	S	S	S
Another Group	S	S	S	S	S	S

Glenn County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	99.2%	0.8%	0.0%	0.0%	0.0%	0.0%
Asian	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Hispanic/Latino	98.3%	0.9%	0.3%	0.1%	0.0%	0.4%
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	98.2%	0.5%	0.8%	0.0%	0.2%	0.2%
Multiracial	94.6%	2.6%	1.8%	0.0%	1.0%	0.0%
Another Group	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%

Humboldt County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	93.9%	0.8%	0.2%	3.9%	1.1%	0.0%
American Indian/Alaska Native	87.1%	3.2%	0.6%	6.3%	0.6%	2.3%
Asian	96.0%	2.2%	1.5%	0.2%	0.0%	0.0%
Hispanic/Latino	89.9%	3.5%	2.1%	2.2%	1.3%	1.0%
Native Hawaiian/Pacific Islander	93.0%	3.9%	0.6%	1.0%	0.0%	1.5%
White	89.8%	2.8%	2.7%	2.2%	1.1%	1.4%
Multiracial	90.1%	3.3%	1.2%	2.5%	1.0%	1.8%
Another Group	95.2%	1.4%	2.9%	0.0%	0.5%	0.0%

Imperial County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	94.5%	1.6%	0.0%	0.4%	0.0%	3.6%
American Indian/Alaska Native	96.7%	0.0%	2.6%	0.7%	0.0%	0.0%
Asian	94.1%	5.4%	0.0%	0.0%	0.0%	0.5%
Hispanic/Latino	92.3%	3.1%	1.5%	1.7%	0.6%	0.8%
Native Hawaiian/Pacific Islander	73.1%	18.1%	0.0%	0.0%	5.6%	3.2%
White	89.0%	3.0%	2.0%	2.5%	1.1%	2.4%
Multiracial	93.7%	1.6%	1.4%	1.3%	1.1%	0.8%
Another Group	98.1%	1.0%	0.9%	0.0%	0.0%	0.0%

Inyo County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	73.9%	10.1%	1.5%	6.3%	2.4%	5.7%
Asian	S	S	S	S	S	S
Hispanic/Latino	77.1%	5.3%	3.7%	4.6%	1.6%	7.7%
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	84.7%	3.3%	1.6%	3.4%	2.6%	4.3%
Multiracial	65.8%	8.0%	7.5%	7.0%	4.7%	6.9%
Another Group	S	S	S	S	S	S

Kern County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	93.3%	2.4%	1.8%	1.0%	0.4%	1.0%
American Indian/Alaska Native	89.4%	2.7%	1.9%	2.0%	1.8%	2.1%
Asian	95.6%	1.1%	0.3%	1.2%	0.8%	0.9%
Hispanic/Latino	91.5%	3.0%	1.8%	1.7%	0.7%	1.2%
Native Hawaiian/Pacific Islander	88.5%	4.4%	1.6%	1.8%	0.8%	2.8%
White	89.3%	3.0%	1.7%	2.0%	1.1%	2.9%
Multiracial	87.4%	3.4%	2.4%	2.0%	1.1%	3.7%
Another Group	92.7%	2.0%	1.7%	1.3%	0.8%	1.4%

Kings County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	97.1%	0.0%	0.0%	0.0%	2.9%	0.0%
American Indian/Alaska Native	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Asian	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Hispanic/Latino	92.2%	3.2%	0.5%	2.2%	1.1%	0.8%
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	90.5%	1.6%	2.0%	0.7%	3.9%	1.3%
Multiracial	93.3%	0.0%	2.5%	0.9%	2.9%	0.4%
Another Group	28.4%	0.0%	0.0%	71.6%	0.0%	0.0%

Lake County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	90.2%	0.0%	0.0%	0.0%	0.0%	9.8%
American Indian/Alaska Native	91.6%	2.2%	3.6%	0.7%	0.0%	1.9%
Asian	92.6%	2.0%	4.0%	0.0%	0.0%	1.4%
Hispanic/Latino	87.6%	3.6%	2.6%	3.2%	1.4%	1.6%
Native Hawaiian/Pacific Islander	74.1%	0.0%	0.0%	2.1%	0.0%	23.8%
White	84.1%	5.3%	3.0%	3.3%	1.4%	2.9%
Multiracial	87.1%	4.0%	4.2%	1.6%	0.5%	2.5%
Another Group	85.0%	2.3%	5.8%	5.6%	1.2%	0.0%

Lassen County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	91.6%	1.8%	0.0%	0.0%	0.0%	6.6%
American Indian/Alaska Native	80.1%	3.3%	0.8%	7.0%	2.0%	6.8%
Asian	95.0%	0.0%	0.0%	0.0%	5.0%	0.0%
Hispanic/Latino	87.0%	3.8%	2.5%	3.0%	2.4%	1.4%
Native Hawaiian/Pacific Islander	91.8%	4.6%	0.0%	3.6%	0.0%	0.0%
White	88.1%	3.6%	3.0%	2.7%	0.9%	1.8%
Multiracial	84.6%	0.6%	4.8%	6.9%	1.6%	1.5%
Another Group	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%

Los Angeles County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	94.1%	1.9%	1.1%	1.2%	0.9%	0.8%
American Indian/Alaska Native	91.4%	5.2%	0.9%	0.9%	0.3%	1.2%
Asian	95.8%	1.3%	0.8%	0.8%	0.4%	1.0%
Hispanic/Latino	91.8%	2.9%	1.7%	1.8%	0.8%	1.1%
Native Hawaiian/Pacific Islander	90.9%	3.3%	1.9%	2.1%	0.5%	1.4%
White	88.9%	2.7%	1.9%	2.4%	1.4%	2.7%
Multiracial	91.4%	2.4%	1.8%	1.8%	0.9%	1.8%
Another Group	92.2%	2.8%	0.5%	1.4%	1.4%	1.6%

Madera County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	S	S	S	S	S	S
Asian	S	S	S	S	S	S
Hispanic/Latino	S	S	S	S	S	S
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	S	S	S	S	S	S
Multiracial	S	S	S	S	S	S
Another Group	S	S	S	S	S	S

Marin County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	84.1%	4.7%	3.3%	4.4%	0.0%	3.6%
American Indian/Alaska Native	89.7%	5.3%	0.0%	1.4%	0.0%	3.6%
Asian	91.5%	2.1%	1.4%	1.7%	0.3%	3.1%
Hispanic/Latino	86.5%	4.4%	2.9%	2.5%	1.7%	2.0%
Native Hawaiian/Pacific Islander	79.3%	8.9%	4.3%	2.9%	4.6%	0.0%
White	83.5%	4.3%	2.9%	3.6%	1.6%	4.0%
Multiracial	87.3%	3.8%	2.1%	3.0%	1.8%	1.9%
Another Group	87.6%	5.9%	2.8%	0.0%	0.0%	3.6%

Mariposa County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	78.2%	11.7%	0.0%	10.1%	0.0%	0.0%
Asian	S	S	S	S	S	S
Hispanic/Latino	94.2%	4.8%	0.0%	0.9%	0.0%	0.0%
Native Hawaiian/Pacific Islander	N/A	N/A	N/A	N/A	N/A	N/A
White	96.7%	0.5%	1.4%	0.5%	0.0%	1.0%
Multiracial	98.4%	0.0%	0.0%	0.0%	0.0%	1.6%
Another Group	S	S	S	S	S	S

Mendocino County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	63.6%	12.1%	0.0%	11.3%	0.0%	13.0%
American Indian/Alaska Native	87.1%	2.1%	3.6%	0.7%	4.3%	2.3%
Asian	94.7%	5.3%	0.0%	0.0%	0.0%	0.0%
Hispanic/Latino	83.5%	4.0%	2.4%	4.3%	2.5%	3.2%
Native Hawaiian/Pacific Islander	45.5%	29.9%	1.9%	13.2%	9.5%	0.0%
White	80.3%	3.3%	3.1%	4.5%	2.7%	6.1%
Multiracial	82.0%	4.4%	2.8%	3.8%	1.5%	5.5%
Another Group	85.6%	1.0%	5.7%	0.0%	2.0%	5.7%

Merced County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	95.8%	1.2%	0.6%	0.4%	0.4%	1.7%
American Indian/Alaska Native	96.2%	1.5%	1.0%	0.0%	0.8%	0.4%
Asian	97.8%	0.6%	0.7%	0.7%	0.1%	0.1%
Hispanic/Latino	94.4%	2.1%	1.3%	1.2%	0.4%	0.6%
Native Hawaiian/Pacific Islander	96.5%	1.2%	0.0%	0.0%	1.5%	0.8%
White	94.6%	1.6%	1.2%	1.0%	0.5%	1.0%
Multiracial	93.5%	2.4%	1.2%	1.2%	0.7%	1.0%
Another Group	98.2%	0.7%	0.1%	1.0%	0.0%	0.0%

Modoc County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	N/A	N/A	N/A	N/A	N/A	N/A
American Indian/Alaska Native	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Asian	S	S	S	S	S	S
Hispanic/Latino	93.5%	3.2%	0.8%	1.4%	0.0%	1.2%
Native Hawaiian/Pacific Islander	N/A	N/A	N/A	N/A	N/A	N/A
White	91.8%	3.0%	3.1%	1.0%	0.0%	1.1%
Multiracial	95.9%	3.4%	0.0%	0.0%	0.7%	0.0%
Another Group	S	S	S	S	S	S

Mono County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	N/A	N/A	N/A	N/A	N/A	N/A
American Indian/Alaska Native	S	S	S	S	S	S
Asian	S	S	S	S	S	S
Hispanic/Latino	81.5%	5.9%	5.1%	2.0%	0.8%	4.7%
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	84.4%	1.6%	0.7%	0.0%	7.6%	5.8%
Multiracial	81.4%	0.0%	14.3%	0.0%	0.0%	4.3%
Another Group	S	S	S	S	S	S

Monterey County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	94.4%	0.5%	1.0%	3.4%	0.0%	0.8%
American Indian/Alaska Native	45.6%	0.7%	0.0%	0.0%	3.4%	50.2%
Asian	97.3%	0.4%	1.7%	0.2%	0.2%	0.2%
Hispanic/Latino	95.4%	2.2%	1.0%	0.7%	0.3%	0.3%
Native Hawaiian/Pacific Islander	95.3%	1.1%	0.4%	0.2%	0.0%	3.1%
White	85.2%	3.8%	2.8%	1.7%	1.5%	5.0%
Multiracial	89.9%	1.8%	4.5%	0.9%	0.9%	2.0%
Another Group	98.4%	0.4%	0.9%	0.0%	0.0%	0.2%

Napa County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	92.6%	0.0%	2.2%	3.1%	0.0%	2.1%
American Indian/Alaska Native	83.2%	8.4%	0.0%	8.0%	0.4%	0.0%
Asian	97.0%	1.4%	0.6%	0.5%	0.5%	0.0%
Hispanic/Latino	85.9%	4.9%	2.8%	3.6%	0.9%	1.9%
Native Hawaiian/Pacific Islander	91.1%	3.3%	3.0%	1.0%	0.0%	1.6%
White	84.6%	3.7%	2.0%	3.3%	2.0%	4.4%
Multiracial	88.3%	3.2%	1.3%	2.7%	1.6%	2.9%
Another Group	90.9%	2.0%	1.1%	2.0%	1.6%	2.4%

Nevada County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	93.6%	0.0%	0.0%	4.6%	0.0%	1.9%
American Indian/Alaska Native	85.1%	2.9%	2.7%	0.0%	4.2%	5.1%
Asian	89.4%	4.2%	0.0%	0.0%	3.7%	2.7%
Hispanic/Latino	83.9%	3.9%	1.9%	3.1%	2.6%	4.6%
Native Hawaiian/Pacific Islander	74.9%	2.8%	9.2%	2.8%	10.4%	0.0%
White	84.1%	3.6%	2.7%	2.6%	2.5%	4.5%
Multiracial	83.3%	3.8%	1.2%	4.8%	2.5%	4.4%
Another Group	87.9%	6.0%	0.0%	1.4%	0.0%	4.7%

Orange County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	91.3%	2.3%	1.4%	2.5%	0.4%	2.1%
American Indian/Alaska Native	88.2%	3.9%	2.2%	2.2%	1.0%	2.5%
Asian	95.7%	1.3%	0.8%	0.7%	0.4%	1.0%
Hispanic/Latino	89.7%	3.1%	2.0%	2.3%	1.0%	1.9%
Native Hawaiian/Pacific Islander	86.6%	3.5%	3.2%	1.8%	0.8%	4.0%
White	86.6%	2.9%	1.8%	2.3%	1.5%	4.8%
Multiracial	89.5%	2.7%	1.6%	2.0%	1.1%	3.2%
Another Group	92.0%	2.7%	1.8%	1.4%	0.2%	1.9%

Placer County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	91.8%	1.5%	1.1%	3.0%	1.7%	0.9%
American Indian/Alaska Native	91.4%	1.1%	2.9%	1.0%	0.1%	3.5%
Asian	98.1%	1.0%	0.6%	0.1%	0.0%	0.2%
Hispanic/Latino	89.9%	3.5%	1.4%	2.0%	1.2%	2.0%
Native Hawaiian/Pacific Islander	89.4%	5.7%	1.1%	1.4%	1.5%	0.9%
White	91.7%	2.4%	1.4%	1.6%	1.0%	2.0%
Multiracial	90.4%	2.0%	1.7%	1.5%	1.2%	3.2%
Another Group	95.8%	2.5%	0.1%	1.4%	0.0%	0.2%

Plumas County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	74.1%	0.0%	0.0%	0.0%	25.9%	0.0%
Asian	S	S	S	S	S	S
Hispanic/Latino	80.2%	13.8%	0.0%	4.3%	1.7%	0.0%
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	81.9%	8.8%	1.4%	2.9%	2.1%	2.9%
Multiracial	68.8%	3.6%	13.4%	5.0%	5.6%	3.6%
Another Group	82.5%	0.0%	0.0%	5.9%	11.6%	0.0%

Riverside County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	95.2%	1.6%	1.2%	0.9%	0.2%	0.9%
American Indian/Alaska Native	88.7%	2.6%	3.3%	1.5%	2.0%	2.0%
Asian	96.1%	1.4%	1.0%	0.8%	0.1%	0.6%
Hispanic/Latino	91.7%	3.0%	1.8%	1.7%	0.8%	1.1%
Native Hawaiian/Pacific Islander	92.4%	2.5%	1.4%	1.3%	0.5%	1.8%
White	89.8%	2.5%	1.8%	2.3%	1.2%	2.4%
Multiracial	91.3%	2.9%	1.5%	1.9%	0.8%	1.5%
Another Group	94.8%	2.0%	0.9%	1.0%	0.4%	0.9%

Sacramento County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	95.7%	1.6%	1.1%	0.8%	0.4%	0.4%
American Indian/Alaska Native	92.7%	1.9%	1.4%	2.1%	1.0%	1.0%
Asian	96.7%	1.3%	0.7%	0.6%	0.2%	0.5%
Hispanic/Latino	92.1%	3.0%	1.5%	1.5%	0.7%	1.1%
Native Hawaiian/Pacific Islander	94.0%	3.0%	1.5%	0.8%	0.4%	0.3%
White	92.4%	2.0%	1.6%	1.7%	0.9%	1.4%
Multiracial	93.3%	1.9%	1.6%	1.5%	0.6%	1.1%
Another Group	94.7%	1.2%	1.6%	1.8%	0.1%	0.6%

San Benito County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	95.4%	4.6%	0.0%	0.0%	0.0%	0.0%
Asian	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Hispanic/Latino	95.3%	1.7%	0.9%	1.2%	0.5%	0.4%
Native Hawaiian/Pacific Islander	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
White	96.6%	0.9%	0.5%	1.2%	0.5%	0.3%
Multiracial	95.0%	1.7%	1.1%	0.6%	1.3%	0.3%
Another Group	98.4%	0.0%	0.0%	0.0%	0.0%	1.6%

San Bernardino County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	S	S	S	S	S	S
Asian	S	S	S	S	S	S
Hispanic/Latino	S	S	S	S	S	S
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	S	S	S	S	S	S
Multiracial	S	S	S	S	S	S
Another Group	S	S	S	S	S	S

San Diego County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	92.6%	2.5%	1.4%	1.3%	0.8%	1.5%
American Indian/Alaska Native	87.9%	2.9%	1.6%	1.6%	1.9%	4.2%
Asian	95.7%	1.5%	0.7%	1.1%	0.3%	0.7%
Hispanic/Latino	91.0%	2.7%	1.9%	2.0%	1.0%	1.4%
Native Hawaiian/Pacific Islander	89.9%	2.4%	2.6%	2.3%	0.7%	2.2%
White	90.4%	2.6%	1.3%	1.9%	1.1%	2.6%
Multiracial	90.4%	2.8%	1.3%	1.9%	1.2%	2.4%
Another Group	94.8%	1.0%	1.0%	1.1%	0.3%	1.7%

San Francisco County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	86.2%	1.0%	2.9%	9.9%	0.0%	0.0%
American Indian/Alaska Native	44.7%	1.4%	45.6%	8.3%	0.0%	0.0%
Asian	98.4%	0.4%	0.6%	0.2%	0.3%	0.2%
Hispanic/Latino	94.9%	1.7%	1.5%	1.4%	0.2%	0.3%
Native Hawaiian/Pacific Islander	96.0%	0.0%	0.4%	3.5%	0.0%	0.0%
White	88.8%	2.3%	6.5%	1.4%	1.0%	0.1%
Multiracial	97.6%	0.3%	1.3%	0.4%	0.0%	0.4%
Another Group	51.7%	0.0%	3.2%	11.5%	33.6%	0.0%

San Joaquin County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	93.8%	0.9%	1.6%	1.8%	0.7%	1.2%
American Indian/Alaska Native	95.4%	1.4%	1.0%	0.7%	0.0%	1.5%
Asian	95.6%	1.2%	1.5%	0.8%	0.2%	0.7%
Hispanic/Latino	92.0%	3.4%	1.7%	1.4%	0.6%	1.0%
Native Hawaiian/Pacific Islander	91.1%	3.2%	4.2%	1.0%	0.0%	0.5%
White	91.8%	4.1%	1.1%	1.2%	0.5%	1.3%
Multiracial	93.3%	2.0%	1.0%	0.6%	0.9%	2.3%
Another Group	91.3%	1.7%	0.0%	1.2%	0.6%	5.2%

San Luis Obispo County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	88.6%	1.3%	3.9%	3.1%	0.0%	3.1%
American Indian/Alaska Native	91.6%	2.2%	1.9%	1.2%	0.0%	3.1%
Asian	94.0%	4.0%	0.2%	0.3%	0.0%	1.6%
Hispanic/Latino	84.9%	4.0%	3.1%	3.5%	1.9%	2.6%
Native Hawaiian/Pacific Islander	91.4%	3.2%	0.0%	4.7%	0.7%	0.0%
White	82.0%	4.2%	3.0%	4.2%	2.6%	4.0%
Multiracial	86.7%	3.9%	1.9%	1.9%	2.7%	2.9%
Another Group	81.9%	14.1%	0.0%	1.1%	2.8%	0.0%

San Mateo County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	90.7%	3.4%	1.9%	0.5%	1.1%	2.3%
American Indian/Alaska Native	98.3%	1.5%	0.0%	0.2%	0.0%	0.0%
Asian	96.5%	1.2%	0.8%	0.8%	0.3%	0.5%
Hispanic/Latino	91.4%	3.1%	1.8%	1.6%	0.9%	1.2%
Native Hawaiian/Pacific Islander	91.8%	0.9%	1.4%	2.9%	1.5%	1.5%
White	90.8%	2.7%	1.6%	1.8%	1.2%	1.8%
Multiracial	94.3%	2.0%	0.9%	1.5%	0.4%	1.0%
Another Group	94.2%	1.8%	1.4%	1.4%	0.6%	0.6%

Santa Barbara County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	91.7%	2.9%	1.3%	2.7%	0.6%	0.8%
American Indian/Alaska Native	88.3%	1.1%	3.3%	2.5%	1.1%	3.7%
Asian	94.9%	2.2%	0.2%	0.9%	0.4%	1.4%
Hispanic/Latino	92.1%	2.9%	1.8%	1.5%	0.6%	1.0%
Native Hawaiian/Pacific Islander	92.4%	1.4%	0.0%	2.8%	2.7%	0.6%
White	90.1%	2.7%	1.6%	2.2%	0.8%	2.5%
Multiracial	92.5%	2.6%	1.2%	2.1%	0.7%	0.8%
Another Group	93.7%	1.9%	1.4%	1.6%	0.0%	1.4%

Santa Clara County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	79.3%	0.0%	5.0%	0.0%	12.9%	2.8%
American Indian/Alaska Native	99.5%	0.0%	0.5%	0.0%	0.0%	0.0%
Asian	99.1%	0.2%	0.0%	0.0%	0.0%	0.8%
Hispanic/Latino	90.9%	0.4%	7.5%	0.6%	0.2%	0.4%
Native Hawaiian/Pacific Islander	55.3%	0.0%	0.0%	0.0%	0.0%	44.7%
White	98.2%	0.1%	0.1%	0.9%	0.0%	0.8%
Multiracial	97.5%	1.2%	0.0%	1.1%	0.2%	0.0%
Another Group	99.0%	0.0%	0.2%	0.0%	0.4%	0.3%

Santa Cruz County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	77.8%	0.3%	1.2%	4.8%	0.0%	15.9%
American Indian/Alaska Native	80.7%	4.2%	4.1%	4.1%	1.5%	5.4%
Asian	92.7%	2.0%	0.8%	1.1%	0.3%	3.1%
Hispanic/Latino	90.4%	2.9%	2.3%	1.7%	1.1%	1.7%
Native Hawaiian/Pacific Islander	87.9%	2.7%	0.0%	0.0%	0.0%	9.4%
White	84.8%	2.9%	2.7%	2.3%	2.1%	5.2%
Multiracial	87.3%	3.1%	0.9%	2.9%	2.0%	3.8%
Another Group	91.9%	3.2%	1.1%	3.8%	0.0%	0.0%

Shasta County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	71.2%	0.0%	20.3%	4.2%	4.3%	0.0%
American Indian/Alaska Native	86.4%	1.1%	6.3%	4.4%	1.7%	0.0%
Asian	94.4%	3.7%	1.0%	1.0%	0.0%	0.0%
Hispanic/Latino	81.9%	4.6%	3.1%	3.6%	3.0%	3.7%
Native Hawaiian/Pacific Islander	82.8%	8.6%	8.6%	0.0%	0.0%	0.0%
White	82.1%	4.7%	3.3%	3.9%	1.9%	4.0%
Multiracial	82.1%	5.7%	3.1%	4.6%	2.8%	1.7%
Another Group	82.7%	0.0%	17.3%	0.0%	0.0%	0.0%

Sierra County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	N/A	N/A	N/A	N/A	N/A	N/A
American Indian/Alaska Native	N/A	N/A	N/A	N/A	N/A	N/A
Asian	N/A	N/A	N/A	N/A	N/A	N/A
Hispanic/Latino	N/A	N/A	N/A	N/A	N/A	N/A
Native Hawaiian/Pacific Islander	N/A	N/A	N/A	N/A	N/A	N/A
White	N/A	N/A	N/A	N/A	N/A	N/A
Multiracial	N/A	N/A	N/A	N/A	N/A	N/A
Another Group	N/A	N/A	N/A	N/A	N/A	N/A

Siskiyou County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
American Indian/Alaska Native	89.2%	6.6%	4.2%	0.0%	0.0%	0.0%
Asian	95.5%	0.0%	0.0%	4.5%	0.0%	0.0%
Hispanic/Latino	96.4%	2.0%	0.8%	0.4%	0.4%	0.0%
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	97.9%	1.2%	0.3%	0.4%	0.2%	0.1%
Multiracial	94.9%	2.6%	2.2%	0.0%	0.3%	0.0%
Another Group	S	S	S	S	S	S

Solano County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	94.7%	1.7%	1.2%	1.2%	0.5%	0.7%
American Indian/Alaska Native	89.0%	2.1%	3.9%	2.3%	0.0%	2.7%
Asian	93.2%	2.3%	1.8%	1.4%	0.8%	0.5%
Hispanic/Latino	90.0%	3.3%	2.6%	1.8%	0.7%	1.6%
Native Hawaiian/Pacific Islander	89.2%	2.2%	3.7%	2.1%	1.4%	1.3%
White	90.1%	2.7%	1.6%	2.4%	1.1%	2.1%
Multiracial	91.0%	2.7%	1.5%	2.9%	0.7%	1.2%
Another Group	91.8%	3.3%	3.1%	0.6%	0.1%	1.0%

Sonoma County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	85.3%	4.3%	1.4%	1.8%	1.8%	5.3%
American Indian/Alaska Native	85.3%	8.2%	0.6%	1.5%	0.8%	3.6%
Asian	91.0%	1.8%	0.9%	2.3%	2.0%	1.9%
Hispanic/Latino	82.7%	4.7%	3.2%	3.5%	2.3%	3.6%
Native Hawaiian/Pacific Islander	85.9%	3.2%	0.7%	1.0%	0.0%	9.3%
White	80.2%	3.8%	2.6%	4.0%	3.6%	5.8%
Multiracial	81.3%	2.7%	3.3%	5.6%	3.3%	3.8%
Another Group	87.5%	3.6%	0.6%	2.5%	1.0%	4.8%

Stanislaus County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	91.8%	2.4%	3.7%	1.5%	0.4%	0.2%
American Indian/Alaska Native	88.8%	9.9%	0.0%	0.7%	0.0%	0.6%
Asian	96.4%	3.0%	0.4%	0.0%	0.0%	0.1%
Hispanic/Latino	94.1%	2.2%	1.1%	1.2%	0.6%	0.7%
Native Hawaiian/Pacific Islander	91.3%	5.4%	0.0%	2.4%	0.0%	0.9%
White	92.3%	2.3%	2.1%	1.9%	0.7%	0.7%
Multiracial	93.8%	2.1%	1.6%	0.9%	1.0%	0.6%
Another Group	98.2%	1.2%	0.5%	0.0%	0.1%	0.0%

Sutter County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
American Indian/Alaska Native	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Asian	96.4%	0.5%	1.5%	0.0%	0.0%	1.5%
Hispanic/Latino	89.9%	3.2%	2.2%	2.4%	0.9%	1.5%
Native Hawaiian/Pacific Islander	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
White	94.2%	2.2%	1.8%	0.7%	0.0%	1.1%
Multiracial	96.2%	1.5%	0.5%	1.3%	0.5%	0.0%
Another Group	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%

Tehama County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	92.1%	0.0%	0.0%	0.0%	0.0%	7.9%
American Indian/Alaska Native	93.8%	3.1%	0.2%	1.9%	0.0%	1.0%
Asian	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Hispanic/Latino	96.5%	1.3%	0.8%	1.2%	0.3%	0.0%
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	94.1%	2.6%	1.2%	1.0%	0.5%	0.6%
Multiracial	92.3%	1.6%	2.6%	1.5%	0.3%	1.7%
Another Group	95.4%	3.9%	0.7%	0.0%	0.0%	0.0%

Trinity County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	98.7%	0.0%	0.0%	0.0%	0.0%	1.3%
Asian	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Hispanic/Latino	83.4%	0.0%	0.0%	12.8%	3.7%	0.0%
Native Hawaiian/Pacific Islander	N/A	N/A	N/A	N/A	N/A	N/A
White	82.6%	2.4%	2.9%	4.3%	1.9%	5.8%
Multiracial	91.7%	0.0%	0.0%	5.2%	0.0%	3.1%
Another Group	S	S	S	S	S	S

Tulare County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	S	S	S	S	S	S
American Indian/Alaska Native	S	S	S	S	S	S
Asian	S	S	S	S	S	S
Hispanic/Latino	S	S	S	S	S	S
Native Hawaiian/Pacific Islander	S	S	S	S	S	S
White	S	S	S	S	S	S
Multiracial	S	S	S	S	S	S
Another Group	S	S	S	S	S	S

Tuolumne County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	88.4%	0.0%	5.9%	2.5%	0.0%	3.2%
American Indian/Alaska Native	90.8%	2.1%	0.0%	2.2%	3.9%	0.9%
Asian	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
Hispanic/Latino	81.5%	3.0%	2.3%	6.9%	2.9%	3.4%
Native Hawaiian/Pacific Islander	70.1%	0.0%	0.0%	10.6%	0.0%	19.3%
White	86.5%	4.4%	1.9%	2.9%	1.0%	3.2%
Multiracial	81.7%	4.3%	2.5%	6.3%	3.1%	2.1%
Another Group	92.5%	0.0%	1.0%	6.5%	0.0%	0.0%

Ventura County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	89.2%	3.0%	2.9%	1.3%	2.4%	1.3%
American Indian/Alaska Native	74.5%	15.7%	3.1%	1.2%	3.6%	1.9%
Asian	95.2%	1.0%	0.4%	0.8%	0.6%	2.0%
Hispanic/Latino	89.3%	3.6%	2.0%	2.5%	1.2%	1.4%
Native Hawaiian/Pacific Islander	91.6%	2.7%	0.8%	1.5%	2.2%	1.2%
White	88.4%	2.6%	2.0%	2.8%	1.7%	2.6%
Multiracial	86.9%	3.6%	2.6%	1.7%	1.2%	4.0%
Another Group	96.1%	1.8%	0.6%	0.9%	0.2%	0.4%

Yolo County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	90.3%	1.5%	1.1%	0.5%	3.9%	2.7%
American Indian/Alaska Native	99.8%	0.0%	0.2%	0.0%	0.0%	0.0%
Asian	93.5%	2.3%	1.7%	1.4%	0.7%	0.3%
Hispanic/Latino	90.3%	3.1%	1.9%	2.1%	0.8%	1.8%
Native Hawaiian/Pacific Islander	82.9%	1.5%	7.8%	1.5%	1.6%	4.7%
White	91.5%	2.5%	1.5%	1.8%	0.4%	2.2%
Multiracial	92.2%	1.4%	1.5%	2.9%	0.0%	2.0%
Another Group	97.3%	2.7%	0.0%	0.0%	0.0%	0.0%

Yuba County	Percent
Race/Ethnicity	0 Days	1 Day	2 Days	3-9 Days	10-19 Days	20-30 Days
African American/Black	90.5%	2.1%	3.6%	0.0%	0.0%	3.8%
American Indian/Alaska Native	81.2%	3.7%	2.8%	3.4%	3.3%	5.6%
Asian	92.9%	4.2%	1.1%	0.0%	0.0%	1.7%
Hispanic/Latino	88.0%	3.9%	1.2%	2.4%	1.9%	2.6%
Native Hawaiian/Pacific Islander	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%
White	88.6%	3.0%	1.6%	2.1%	2.3%	2.5%
Multiracial	91.4%	2.9%	0.8%	1.6%	1.6%	1.6%
Another Group	89.3%	3.7%	0.0%	2.9%	0.0%	4.1%

Definition, Source & Notes (Return to top)

Definition: Estimated percentage of public school students in grades 7, 9, 11, and non-traditional programs who have used electronic cigarettes or other vaping devices in the previous 30 days, by race/ethnicity and frequency (e.g., in 2017-2019, an estimated 1.1% of Hispanic/Latino students in grades 7, 9, 11, and non-traditional programs in California had used e-cigarettes on 20-30 days in the previous month).
Data Source: WestEd, California Healthy Kids Survey (CHKS) & Biennial State CHKS. California Dept. of Education (Aug. 2020).
Footnote: Years presented comprise two school years (e.g., 2017-18 and 2018-19 school years are shown as 2017-2019). County- and state-level data are weighted estimates; school district-level data are unweighted. Students in non-traditional programs are those enrolled in community day schools or continuation education. The notation S refers to (a) data for school districts that have been suppressed because there were fewer than 10 respondents in that group, and (b) data for counties that have been suppressed because the sample was too small to be representative. N/A means that data are not available.

Learn More About Youth Alcohol, Tobacco, and Other Drug Use

Measures of Youth Alcohol, Tobacco, and Other Drug Use on Kidsdata.org

On kidsdata.org, indicators of youth alcohol, tobacco, and other drug use come from:

Student reports of alcohol or drug use (excluding tobacco) in the previous month overall and on school property
Student reports of the number of days they used alcohol, cigarettes, e-cigarettes, and marijuana in the previous month
Student reports of the number of days they binge drank in the previous month
Student reports of the number times they have used alcohol, cigarettes, e-cigarettes, and marijuana in their lifetimes
Student reports of the number times they have driven when they had been using alcohol or drugs or ridden with a driver who had been using in their lifetimes
Staff reports of the extent to which, at their school, student alcohol and drug use is a problem, substance abuse prevention is an important goal, and substance use prevention education is provided

Data based on student reports come from the California Healthy Kids Survey (CHKS) and are available by grade level (7, 9, 11, and/or non-traditional), gender, level of school connectedness,* parent education level, and sexual orientation.

State-level CHKS estimates, although derived from the Biennial State CHKS, may differ from data published in Biennial State CHKS reports due to differences in grade-level classification of students in continuation high schools.

*Levels of school connectedness are based on a scale created from responses to five questions about feeling safe, close to people, and a part of school, being happy at school, and about teachers treating students fairly.

Related Data

Youth Alcohol, Tobacco, and Other Drug Use

Children's Emotional Health

Pupil Support Services

Childhood Adversity and Resilience

School Climate

Juvenile Arrests

Juvenile Felony Arrests

School Attendance and Discipline

Reasons for School Absence in Past Month, by Grade Level

Why This Topic Is Important

Youth alcohol, tobacco, and other drug use is a significant public health concern linked to a wide range of academic, social, and health problems (1). Alcohol is the most widely used substance among the nation's young people and initiation peaks in the years between Grades 7 and 11 (2). Underage drinking is associated with risky health behaviors (e.g., unsafe sexual practices), injuries, motor vehicle accidents, impaired cognitive functioning, poor academic performance, physical violence, and suicide attempt (2). Binge drinking places youth and those around them at even higher risk for negative outcomes (2). Drinking during adolescence increases the likelihood of alcohol dependence in adulthood, and excessive alcohol consumption can have long-term health consequences, including liver disease, cancer, and cardiovascular disease (2).

Cigarette smoking is the leading cause of preventable and premature death in the U.S., resulting in more than 480,000 deaths annually (3). Smoking causes cumulative, irreversible harm, and most long-term smokers start when they are teens or young adults (3, 4). Tobacco use or smoking in any form—including e-cigarettes—is unsafe (4). Marijuana use, too, is linked to adverse effects such as respiratory problems, anxiety attacks, cognitive difficulties, and coordination loss, as well as aggressive behavior and poor academic performance among youth (5).

Despite historically low rates of heroin and non-heroin narcotic use among U.S. teens in recent years, the rate of opioid-related overdose death has increased dramatically—tripling between 1999 (0.8 deaths per 100,000 teens ages 15-19) and 2015 (2.4 deaths per 100,000) (6, 7).

For more information on this topic, see kidsdata.org’s Research & Links section.

Sources for this narrative:

1. Youth.gov. (n.d.). Substance use/misuse. Interagency Working Group on Youth Programs. Retrieved from: https://youth.gov/youth-topics/substance-abuse

2. Interagency Coordinating Committee on the Prevention of Underage Drinking. (2020). Report to Congress on the prevention and reduction of underage drinking. Retrieved from: https://www.stopalcoholabuse.gov/about-iccpud/data/national-reports/report-to-congress

3. Office of the Surgeon General. (2014). The health consequences of smoking—50 years of progress. U.S. Department of Health and Human Services. Retrieved from: https://www.cdc.gov/tobacco/data_statistics/sgr/50th-anniversary

4. Wang, T. W., et al. (2019). Tobacco product use and associated factors among middle and high school students — United States, 2019. Morbidity and Mortality Weekly Report, 68(12), 1-22. Retrieved from: https://www.cdc.gov/mmwr/volumes/68/ss/ss6812a1.htm

5. National Institute on Drug Abuse for Teens. (n.d.). Marijuana. Retrieved from: https://teens.drugabuse.gov/drug-facts/marijuana

6. Johnston, L. D., et al. (2021). Monitoring the Future national survey results on drug use 1975-2020: 2020 overview, key findings on adolescent drug use. University of Michigan Institute for Social Research. Retrieved from: http://www.monitoringthefuture.org/pubs/monographs/mtf-overview2020.pdf

7. Curtain, S. C., et al. (2017). Drug overdose deaths among adolescents aged 15-19 in the United States: 1999-2015. National Center for Health Statistics. Retrieved from: https://www.cdc.gov/nchs/products/databriefs/db282.htm

How Children Are Faring

According to a 2017-2019 survey of California public school students, 7% of 7th graders, 15% of 9th graders, 23% of 11th graders, and 29% of students in non-traditional programs had used alcohol or drugs in the previous 30 days. An estimated 8% of 11th graders had binge drunk (consumed five or more drinks of alcohol within a couple of hours) at least once in the previous month, and 13% had either driven when they had been using alcohol or drugs, or had ridden with a driver who had been using, at least once in their lifetimes. E-cigarette use typically was more common than cigarette smoking: 26% of 11th graders had used e-cigarettes at least once in their lifetimes, compared with 8% who had smoked cigarettes. Lifetime marijuana use among California 11th graders was 29% in 2017-2019, down from 41% in 2011-2013, with percentages ranging from 17% to 56% across counties with data.

Across grade levels, the estimated proportion of students who have ever used alcohol, cigarettes, e-cigarettes, and marijuana has fallen in recent years. In general, students with low levels of school connectedness, those whose parents did not finish high school, and gay, lesbian, and bisexual students more frequently report substance use than their peers in other groups.

High school staff reports from 2017-2019 show that more than half (52%) considered alcohol and drug use among students at their school a moderate or severe problem. More than three-quarters (77%) agreed that substance abuse prevention was an important goal at their school, and more than two-thirds (67%) reported that their school provided at least some substance use prevention education.

Policy Implications

Public policy can promote early identification of known risk factors for youth substance misuse, such as poor school performance, truancy, lack of parental supervision, aggressive behavior, drug availability, and substance use by peers (1, 2). Policies and programs also can promote protective factors, such as school engagement, positive community connections, and academic success (1). Screening and early intervention can be effective, especially when tailored specifically to population and risk factors (3). Controlling youth smoking, vaping, and alcohol consumption also requires particular attention to mass media and marketing (4, 5).

Policy and program options for addressing youth alcohol, tobacco, and other drug use include:

Prioritizing screening and early identification of risk factors correlated with substance use, especially among middle school youth; assessments should target mental health issues, as they often co-occur with substance abuse (3, 6)
Developing comprehensive policies that promote school and community connectedness among youth and help them develop the knowledge, skills, and motivation to avoid substance use; such policies should focus on preadolescence through young adulthood and involve support from families, schools, colleges, community organizations, government, and others (4, 5, 6)
Recognizing that substance misuse and mental health disorders are inherently health conditions, embedding research-based prevention and treatment services into mainstream health care settings, and expanding behavioral health care accessibility, coverage, and coordination across systems (3)
Promoting youth focused, mass media counter-marketing strategies to combat tobacco and alcohol advertising; also reducing youth exposure to tobacco and alcohol marketing by monitoring compliance with marketing standards (4, 5)
Continuing to enforce, strengthen, and extend evidence-based legislation such as beer keg registration laws and increased prices on alcohol and tobacco products (4, 5, 7)

For more information, see kidsdata.org’s Research & Links section or visit the Interagency Coordinating Committee on the Prevention of Underage Drinking, Campaign for Tobacco-Free Kids, and National Institute on Drug Abuse for Teens. Also see Policy Implications for School Climate and Children's Emotional Health on kidsdata.org.

Sources for this narrative:

1. Patrick, M. E., & Schulenberg, J. E. (2013). Prevalence and predictors of adolescent alcohol use and binge drinking in the United States. Alcohol Research: Current Reviews, 35(2), 193-200. Retrieved from: https://arcr.niaaa.nih.gov/measuring-burden-alcohols-evolving-impact-individuals-families-and-society/prevalence-and

2. Marshall, E. J. (2014). Adolescent alcohol use: Risks and consequences. Alcohol and Alcoholism, 49(2), 160-164. Retrieved from: https://academic.oup.com/alcalc/article/49/2/160/205895

3. Office of the Surgeon General. (2016). Facing addiction in America: The Surgeon General's report on alcohol, drugs, and health. U.S. Department of Health and Human Services. Retrieved from: https://addiction.surgeongeneral.gov/sites/default/files/surgeon-generals-report.pdf

4. Interagency Coordinating Committee on the Prevention of Underage Drinking. (2020). Report to Congress on the prevention and reduction of underage drinking. Retrieved from: https://www.stopalcoholabuse.gov/about-iccpud/data/national-reports/report-to-congress

5. Centers for Disease Control and Prevention. (2012). Preventing tobacco use among youth and young adults: A report of the Surgeon General. Retrieved from: https://www.cdc.gov/tobacco/data_statistics/sgr/2012

6. National Institute on Alcohol Abuse and Alcoholism. (2021). Underage drinking. Retrieved from: https://www.niaaa.nih.gov/publications/brochures-and-fact-sheets/underage-drinking

7. Sacks, V. H., et al. (2014). An analysis of state underage drinking policies and adolescent alcohol use. Child Trends. Retrieved from: https://www.childtrends.org/publications/an-analysis-of-state-underage-drinking-policies-and-adolescent-alcohol-use-2

Research & Links

Websites with Related Information

Alcohol and Public Health. Centers for Disease Control and Prevention.
Alcohol Policy Information System. National Institute on Alcohol Abuse and Alcoholism.
Blueprints for Healthy Youth Development. University of Colorado Boulder.
California Tobacco Control Program. California Dept. of Public Health.
Campaign for Tobacco-Free Kids
Center on Alcohol Marketing and Youth. Johns Hopkins Bloomberg School of Public Health.
Evidence-Based Practices Resource Center. Substance Abuse and Mental Health Services Administration.
Interagency Coordinating Committee on the Prevention of Underage Drinking
Monitoring the Future Survey. National Institute on Drug Abuse.
National Institute on Drug Abuse. National Institutes of Health.
School-Wide Positive Behavioral Interventions and Supports. Center on Positive Behavioral Interventions and Supports.
Substance Abuse and Mental Health Services Administration (SAMHSA) U.S. Dept. of Health and Human Services.
Underage Drinking. National Institute on Alcohol Abuse and Alcoholism.
Youth Tobacco Prevention. Centers for Disease Control and Prevention.
Youth.gov. Interagency Working Group on Youth Programs.

Key Reports and Research

Behavioral Health Barometer (Vol. 5) (2019). Substance Abuse and Mental Health Services Administration.
Best Practices for Comprehensive Tobacco Control Programs—2014. Centers for Disease Control and Prevention.
Key Substance Use and Mental Health Indicators in the United States: Results from the 2019 National Survey on Drug Use and Health. (2020). Substance Abuse and Mental Health Services Administration.
Monitoring the Future: Publications. University of Michigan Institute for Social Research.
Prevalence and Predictors of Adolescent Alcohol Use and Binge Drinking in the United States. (2013). Alcohol Research: Current Reviews. Patrick, M. E., & Schulenberg, J. E.
Preventing Tobacco Use Among Youth and Young Adults: A Report of the Surgeon General. (2012). Centers for Disease Control and Prevention.
Principles of Adolescent Substance Use Disorder Treatment: A Research-Based Guide. (2014). National Institute on Drug Abuse.
Promoting Positive Adolescent Health Behaviors and Outcomes: Thriving in the 21st Century. (2020). National Academies Press. National Academies of Sciences, Engineering, and Medicine.
Public Health Consequences of E-Cigarettes. (2018). National Academies Press. National Academies of Sciences, Engineering, and Medicine.
Report to Congress on the Prevention and Reduction of Underage Drinking. (2020). Interagency Coordinating Committee on the Prevention of Underage Drinking.
School Policies, School Connection, and Adolescents: What Predicts Young Adult Substance Use? (2014). Child Trends. Sacks, V. H., et al.
The Regulation of Alcohol Marketing: From Research to Public Health Policy. (2017). Addiction. Babor, T. F., et al. (eds.)
Tobacco Product Use and Associated Factors Among Middle and High School Students — United States, 2019. (2019). Morbidity and Mortality Weekly Report. Wang, T. W., et al.
Youth Tobacco Product Use in the United States. (2015). Pediatrics. Lee, Y. O., et al.

County/Regional Reports

Annual Report on the Conditions of Children in Orange County. Orange County Children's Partnership.
Community Health Equity Improvement Plan for Los Angeles County. Los Angeles County Dept. of Public Health.
Community Health Profiles. Los Angeles County Dept. of Public Health.
Live Well San Diego Report Card on Children, Families, and Community. The Children’s Initiative.
Orange County Community Indicators Report. Orange County Business Council, et al.
San Mateo County All Together Better. San Mateo County Health.
Santa Clara County Public Health Department: Open Data Portal
Santa Monica Youth Wellbeing Report Card. Santa Monica Cradle to Career.
Youth Need Data. Get Healthy San Mateo County.

More Data Sources For Youth Alcohol, Tobacco, and Other Drug Use

California Health and Human Services Open Data Portal. California Health and Human Services Agency.
California Health Interview Survey. UCLA Center for Health Policy Research.
California School Climate, Health, and Learning Surveys Public Dashboards. WestEd & California Dept. of Education.
Childstats.gov. Federal Interagency Forum on Child and Family Statistics.
Health, United States – Data Finder. National Center for Health Statistics.
National Longitudinal Study of Adolescent to Adult Health (Add Health). UNC Carolina Population Center.
Substance Abuse and Mental Health Services Administration (SAMHSA): Data. U.S. Dept. of Health and Human Services.
Youth Risk Behavior Surveillance System (YRBSS). Centers for Disease Control and Prevention.
Youth Tobacco Survey. Centers for Disease Control and Prevention.

E-Cigarette Use in Past Month, by Race/Ethnicity

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