Education

1.

Young children, ages 0-5, who are read to everyday

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Data over time
Data by race / ethnicity
2016Change2014LatinoWhiteAfrican
American
AsianOther

California

62%62%54%77%64%62%77%

County

Sort by name2016
Rank
2016Change2014LatinoWhiteAfrican
American
AsianOther
Alameda1475%
70%57%91%*66%72%*78%*
Alpine379%*
53%67%*76%*NANA100%*
Amador379%*
53%67%*76%*NANA100%*
Butte3665%*
66%84%*73%*NANANA
Calaveras379%*
53%67%*76%*NANA100%*
Colusa2767%
62%67%70%*NANA67%*
Contra Costa379%
71%82%*85%*30%*42%*81%*
Del Norte1475%NANA73%*80%*NANA73%*
El Dorado280%*NANA68%*69%*NA100%*100%*
Fresno4658%
60%55%77%*67%*84%*100%*
Glenn2767%
62%67%70%*NANA67%*
Humboldt2571%NANA39%67%NA100%49%
Imperial5742%
52%41%77%*NANANA
Inyo379%*
53%67%*76%*NANA100%*
Kern4658%
66%48%87%*30%*79%*56%*
Kings3566%
63%68%60%*NANANA
Lake2374%NANA97%*72%NANANA
Lassen1475%NANA73%*80%*NANA73%*
Los Angeles4658%
55%55%76%60%58%53%
Madera3863%
57%54%85%*NANANA
Marin2473%
81%75%76%*NA90%*100%*
Mariposa379%*
53%67%*76%*NANA100%*
Mendocino2767%*NANA61%81%*NANA77%*
Merced5645%*
56%41%63%*100%*67%*100%*
Modoc1475%NANA73%*80%*NANA73%*
Mono379%*
53%67%*76%*NANA100%*
Monterey5449%
59%39%72%NA68%*100%*
Napa4360%NANA52%*57%*NANANA
Nevada1376%NANANA75%NA100%*NA
Orange5157%
63%43%81%*100%*57%*91%*
Placer379%
72%67%*85%*NA67%*51%*
Plumas1475%NANA73%*80%*NANA73%*
Riverside2669%
66%63%66%73%*98%*60%*
Sacramento379%*
64%56%*87%*90%*88%*95%*
San Benito4062%NANA50%83%*NANANA
San Bernardino4360%
61%60%63%76%*50%*31%*
San Diego2767%
69%52%85%28%*71%78%*
San Francisco1475%*
76%78%*69%*100%*75%*89%*
San Joaquin5251%
59%34%85%*NA49%*91%*
San Luis Obispo5350%
76%60%45%*100%*NA50%*
San Mateo2767%
61%56%*82%*NA79%100%*
Santa Barbara3665%65%47%*98%*NANANA
Santa Clara3863%
70%59%75%*NA55%100%*
Santa Cruz4658%
72%60%68%NANA67%*
Shasta186%
71%56%*89%*NANA76%*
Sierra1475%NANA73%*80%*NANA73%*
Siskiyou1475%NANA73%*80%*NANA73%*
Solano2767%
70%38%92%*50%*NA88%*
Sonoma2767%
62%46%77%*NA100%*NA
Stanislaus5449%
53%39%80%*33%*89%*38%*
Sutter4062%NANA40%89%*NA70%*68%*
Tehama2767%
62%67%70%*NANA67%*
Trinity1475%NANA73%*80%*NANA73%*
Tulare5836%NANA36%18%*NANA100%*
Tuolumne379%*
53%67%*76%*NANA100%*
Ventura4658%
73%42%91%*NANA100%*
Yolo4261%
64%47%*95%*50%*42%*98%*
Yuba4360%NANA45%73%*NANA57%

Notes

1. Young children, ages 0-5, who are read to everydayIncludes the percentage of children, ages 0–5, who have books read to them by their parents every day of the week. County estimates are based on California Health Interview Survey. To create multi-year estimates, Children Now conducted analysis of race/ethnicity data using “askCHIS”, and combined 2011–2014 data (July 2016). CHIS clusters responses into three multi-county groups for select low-population counties. The multi-county groups are as follows: (1) Del Norte, Siskiyou, Lassen, Trinity, Modoc, Plumas and Sierra; (2) Tehama, Glenn and Colusa; (3) Tuolumne, Calaveras, Amador, Inyo, Mariposa, Mono and Alpine.

NA (Not Available)Data that are not available are noted as NA. The most frequent reasons for NAs include the unavailability of longitudinal data, fewer than 10 cases (low number events), and statistically unstable estimates.

Asterisks*An asterisk indicates that data should be interpreted with caution. Asterisks were used to note low number of events (fewer than 10) or unstable data with large confidence intervals. Data or estimates with low numbers and large confidence intervals indicate that a data point may not be a true representation of the larger population.

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Alameda