State of California—Health and Human Services Agency ... · PDF fileState of...

State of California—Health and Human Services Agency Department of Health Care Services

SANDRA SHEWRY ARNOLD SCHWARZENEGGER Director Governor

Children’s Medical Services Branch 1515 K Street, Suite 400, MS 8100, P.O. Box 997413, Sacramento, CA 95899-7413

(916) 327-1400 Internet Address: www.dhcs.ca.gov

July 3, 2008

CHDP PROGRAM LETTER NO.:08-16

TO: All COUNTY CHILD HEALTH AND DISABILITY PREVENTION (CHDP) PROGRAM DIRECTORS, DEPUTY DIRECTORS, MEDICAL CONSULTANTS, STATE CHILDREN’S MEDICAL SERVICES (CMS) BRANCH STAFF AND REGIONAL OFFICE STAFF

SUBJECT: HEALTH ASSESSMENT DATA FOR FISCAL YEAR 2005-2006

The Children’s Medical Services Branch has prepared the enclosed report on the CHDP services provided from July 1, 2005 through June 30, 2006. If you have any questions or need further information, please contact Joseph Powers, Research Analyst II at (916) 327-2114 or email to [email protected]. Original Signed by Marian Dalsey M.D., M.P.H

Marian Dalsey, M.D., M.P.H, Chief Children’s Medical Services Branch

Enclosure

mailto:[email protected]

CHDP ANNUAL REPORT FY05-06 OVERVIEW AND FINDINGS

OVERVIEW Program Description The Children’s Medical Services Branch (CMS) of the California Department of Health Care Services, as mandated by Section 124025 of the Health and Safety Code through the Child Health and Disability Prevention (CHDP) program, provides complete health assessments for the early detection and prevention of disease and disabilities in low-income children and youth. A complete health assessment consists of a health history, physical examination, developmental assessment, nutritional assessment, dental assessment, vision and hearing tests, tuberculin test, laboratory tests, immunizations, health education/anticipatory guidance, and referral for any needed diagnosis and treatment. The State of California has established standards for the program and provides financing, but the program is operated at the local level by health departments in each California county and the cities of Berkeley, Long Beach and Pasadena. The CHDP program is also responsible for providing outreach to target populations to increase participation in the program, and providing health education to both agencies and residents at the community level to increase the knowledge and acceptance of preventive services. Additionally, CHDP oversees the screening and follow-up components of the federally-mandated Early and Periodic Screening, Diagnosis, and Treatment (EPSDT) program for Medi-Cal eligible children and youth; provides preventive health assessments for non-Medi-Cal eligible children; and monitors the school entry program which requires that all children entering the first grade or kindergarten have either a certificate of health examination or a waiver on file at their school. Data Source CHDP data are derived from Confidential Screening/Billing Report (PM 160) forms submitted by providers. Because more than one PM 160 form may be submitted for an individual child, and a child may have more than one exam, there could be identical records for an individual child. Duplicate records are removed by sorting out records with identical Medi-cal Identification Numbers. If a record has the same Medi-cal Identification as some other records, those duplicate records are deleted.

FINDINGS Recipient Demographics The data in this report pertain to CHDP services provided between July 1, 2005 and June 30, 2006. Table 1 shows that during fiscal year FY05-06, the CHDP program provided preventive health services to an estimated 2,038,833 children (unduplicated count). From FY93-94 to FY97-98 there was an increase in the number of children

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served by CHDP. Overall, these changes represent an average increase of 4.7 percent per fiscal year. See Table 1. From FY98-99 to FY04-05, the total children served by CHDP decreased on average. This decline could be attributed to children being transferred to other health care programs, such as Healthy Families. Compared to FY04-05, there were 54,272 fewer children served by the CHDP program in FY05-06 than there were in FY04-05. Table 1, Number and Percent Change for CHDP Children Served From FY 1995-96 to FY 2005-06

Fiscal Year

FY Children Served

Previous FY Children Served

Change Between FY's

Percent Change From Previous

2005-06 2,038,833 2,093,105 -54,272 -2.6

2004-05 2,093,105 2,065,237 27,868 1.3

2003-04 2,065,237 2,114,480 -49,243 -2.3

2002-03 2,114,480 2,087,243 27,237 1.3

2001-02 2,087,243 2,193,157 -105,914 -4.8

2000-01 2,193,157 2,228,326 -35,169 -1.6

1999-00 2,228,326 2,228,361 -35 0.0

1998-99 2,228,361 2,285,697 -57,336 -2.5

1997-98 2,285,697 2,188,669 97,028 4.4

1996-97 2,188,669 2,100,410 88,259 4.2

1995-96 2,100,410 2,016,615 83,795 4.2

A comparison of FY05-06 data to FY04-05 by funding source shows that, 21,540 fewer Medi-Cal Eligible Fee-For-Service (Medi-Cal FFS) children were reported in FY05-06 than in FY04-05, which is a 5.1 percent decrease over the year. The number of children served during FY05-06 by the new Gateway program decreased by 71,119 children, or 15.5 percent over the year. State funded CHDP children decreased by 6,019, or 15.8 percent between FY04-05 and FY05-06. There were 44,406 more Information Only/Prepaid Health Plan (Info/PHP) children served in FY05-06 than in FY04-05. This is an increase 3.8 percent over the previous year. The number of Info/PHP children has grown steadily from 41,343 served in FY93-95 to 1,220,842 served in FY05-06.

Table 2, Children Served by CHDP Statewide FY93-94 through FY05-06

II

State Fiscal Year

Medi-Cal FFS Gateway

State-Funded Info-PHP Total

FY05-06 398,292 387,702 31,997 1,220,842 2,038,833 FY04-05 419,832 458,821 38,016 1,176,436 2,093,105 FY03-04 416,518 420,383 227,030 1,001,306 2,065,237 FY02-03 381,995 0 846,111 886,374 2,114,480 FY01-02 391,332 0 938,661 757,250 2,087,243 FY00-01 398,789 0 1,059,324 735,044 2,193,157 FY99-00 426,968 0 1,105,533 695,825 2,228,326 FY98-99 505,080 0 1,097,961 625,320 2,228,361 FY97-98 794,476 0 1,048,696 442,525 2,285,697 FY96-97 984,559 0 905,654 298,456 2,188,669 FY95-96 1,101,758 0 841,766 156,886 2,100,410 FY94-95 1,128,164 0 789,110 99,341 2,016,615 FY93-94 1,179,584 0 701,541 41,343 1,922,468

Of the 2,038,833 children served by CHDP during FY05-06, 71.8 percent were age 0 to 5, 17.6 percent were age 6 to 12, 10.5 percent were age 13 to 20 and 0.1 percent of the children did not have their age indicated. See Graph 1.

Graph 1, Age of Children Served by CHDP Statewide FY 2005-2006

1,463,943

358,107

214,602

2,1810

200,000

400,000

600,000

800,000

1,000,000

1,200,000

1,400,000

1,600,000

Ages 0-5 Ages 6-12 Ages 13-20 Unknown

Ages 0-5 Ages 6-12 Ages 13-20 Unknown

Of the 2,038,833 children served by the CHDP program, 66.8 percent were Hispanic, 7.9 percent were White, 5.6 percent were Black, 4.7 percent were Asian, 0.2

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percent was Native American, 0.2 percent were Pacific Islander, and 8.9 percent were Other (i.e., Filipino and Other). The ethnicity was not reported for 5.8 percent of the children in FY05-06. According to the California Department of Finance’s most current population estimate for the period, California population was 34.8 percent Hispanic, 44.6 percent White, and 6.0 percent were Black, 11.6 percent Asian, 0.6 percent were Native American, 0.4 percent Pacific Islander and 2.0 percent were classified as All Others.1 See Graph 2.

During FY05-06, the CHDP program provided services to 1,027,078 (49.1 percent) females and 1,061,177 (50.7 percent) males. For 4,850 (0.2 percent) of the children, the gender was not indicated. See Section IX, Table 82.

Graph 2, CHDP Children Ethnic Distribution Percent vs. California Population Ethnic Distribution Percent FY 2005-2006

66.8

7.9 5.6 4.70.2 0.2

14.7

34.8

44.6

6.011.6

0.6 0.4 2.00.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

Hispanic White Black Asian NativeAmerican

Pacific Islander All Others

(Per

cent

%)

CHDP Children California Population

1 State of California, Department of Finance, California County Race/Ethnic Population Estimates and Components of Change by Year, July 1, 2000–2004. Sacramento, California, March 2006. Immunizations

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The CHDP program provided 4,723,776 individual immunizations in FY05-06, 25,395 more immunization shots compared to FY04-05. This represents a 0.5 percent increase over FY 04-05 when 4,698,381 immunizations were provided by CHDP. See Graph 3. The cost of an immunization is composed of two parts: the administration fee, and the cost of the vaccine. In the CHDP program, the Federal Vaccine-for-Children (VFC) program supplies the majority of vaccines. Therefore, the average cost of vaccines includes primarily the administration fee and the costs for the few vaccines that providers must purchase directly. The amount paid for CHDP immunizations during FY05-06 totaled $19,916,465, a decrease of $988,654 (4.7 percent) from $20,905,119 in FY04-05. In FY05-06, the average cost per immunization was $4.22. This is a $0.23 (5.2 percent) decrease from $4.45 per immunization in FY04-05.

Graph 3, CHDP Immunizations and Amounts Paid Statewide from FY 2001-2002 to FY 2005-2006

3,828,574 4,283,858 4,738,977 4,698,381 4,723,776

$19,158,163

$22,193,916 $22,840,670$20,905,119

$19,961,465

0

5,000,000

10,000,000

15,000,000

20,000,000

25,000,000

FY 2001/2002 FY 2002-2003 FY 2003-2004 FY 2004-2005 FY 2005-2006

Number of Immunizations Total Amount Paid

Type of Providers During FY05-06, 18 provider types (including Info/PHP) provided CHDP services to children; however, data gathered from Information Only PM 160’s did not have provider type indicated. That data indicate that of the identifiable provider types, 14.1 percent of the services were provided by Physician Solo Practices, 15.6 percent of the services were provided by Physician Groups, 1.8 percent of the services were provided by Rural Health Clinics, 1.3 percent of the services were provided by Clinic Labs/Lead, 1.0 percent of the services were provided by County Health Department Clinics, and 1.6 percent of the services were provided by Community Clinics. See Section VI, Table 49. Expenditures

V

During FY05-06, a total of $65,238,771 was paid for Medi-Cal Fee-For-Service (FFS), Gateway, and State-funded CHDP preventive health examinations. See Table 3. This is a decrease of $5,614,748 (7.9 percent) from the $70,853,519 paid in fiscal year 2004-2005.

Of the $65,238,771 paid for CHDP services in FY05-06, $30,818,244 was paid for services to 398,292 Medi-Cal FFS funded children at an average cost of $77.38 per child. The number of children for whom services were paid by Medi-Cal FFS in FY05-06 is a 5.1 percent decrease from the 419,832 Medi-Cal FFS children served in fiscal year 2004-2005. See Table 2. This shift can be attributed in part to the transition of children to Medi-Cal Managed Care Health Plans (MCMC).

Gateway, in its third year, paid providers $32,132,843 for services to 387,702 children at a cost of $82.88 per child in FY05-06. In FY04-05, $36,159,975 was paid to providers for services to 458,821 children at a cost of $78.81 per child. Over the year, the number of Gateway children decreased by 15.5 percent and the cost per child increased by 4.9 percent.

For State-funded CHDP services, providers were paid $2,287,684 for CHDP preventive health exams and services to 31,997 State-funded children with an average cost of $71.50 per child. The number of State-funded children decreased over the year from 38,016 in FY04-05 to 31,997 in FY05-06, representing a 15.8 percent decrease. State funding fell as well. It went from $2,642,423 in FY04-05 to $2,287,684 in FY05-06, representing a 13.4 percent decrease in State-funding over the year. The decreases over the year are in part due to the increased provision of Medi-Cal Managed Care Plan services accompanied by a decline in Medi-Cal Fee for Service services.

Over the years, the Medi-Cal program has been undergoing a gradual transition from Medi-Cal FFS to MCMC in the most populated counties. MCMC providers are required to submit an “Information-Only” PM 160 when children receive a CHDP examination. In FY05-06, 1,220,842 Info/PHP children were served by the CHDP program, a 3.8 percent increase over FY 04-05. Because the PM 160 “Information-Only” form is used as a reporting form rather than a billing form, expenditure data is unavailable for this group of children. Therefore, those children cannot be included in calculating the average cost per child for CHDP services.

Table 3, Amount Paid for CHDP Services Statewide by Funding Source FY93-94 Through FY05-06

State Fiscal Year Medi-Cal Funded State-Funded Gateway Total FY 05/06 $30,818,244 $2,287,684 $32,132,843 $65,238,771 FY 04/05 $32,051,121 $2,642,423 $36,159,975 $70,853,519

FY 03/04 $31,103,279 $15,466,494 $31,055,558 $77,625,331

VI

FY 02/03 $29,016,731 $67,382,973 $0 $96,399,704

FY 01/02 $27,572,711 $72,458,422 $0 $100,031,133

FY 00/01 $26,013,755 $76,514,035 $0 $102,527,790

FY 99/00 $27,914,594 $73,132,093 $0 $101,046,687

FY 98/99 $32,235,242 $70,845,307 $0 $103,080,549

FY 97/98 $48,698,196 $65,757,670 $0 $114,455,866

FY 96/97 $63,259,697 $58,663,331 $0 $121,923,028

FY 95/96 $75,289,014 $55,783,768 $0 $131,072,782

FY 94/95 $99,397,657 $59,777,662 $0 $159,175,319

FY 93/94 $103,672,199 $52,070,591 $0 $155,742,790 Target Population The CHDP target population is comprised of (1) children eligible for Medi-Cal FFS less than 21 years of age, and (2) non Medi-Cal eligible children less than 19 years of age from families with incomes under 200 percent of the FPL. Children that meet these criteria qualify for health assessments through the CHDP program.

The CHDP estimated target population for FY05-06 was 5,092,998.2 The total number of children served by CHDP (2,038,833) accounted for 40.0 percent of the target population. The Medi-Cal funded estimated target population was 3,455,837, of which 2,006,836 (58.1 percent) was served by the CHDP program. The State-funded estimated target population was 1,637,161 of which 31,997 (1.9 percent) was actually served by the CHDP program (see Graph 4). In FY04-05, the number of State-funded children served was 38,016. Between July 1, 2005 and June 30, 2006, the number of State-funded children that were served declined by 1.6 percent. 2 Children’s Medical Services Plan and Fiscal Guidelines for Fiscal Year 2005-06, Section 4, Table 2-2, pages 9-10, April 1, 2007.

VII

Graph 4, Target Population and Children Served by the CHDP Program for FY 2005-2006

5,092,998

3,455,837

1,637,161

31,997

2,038,833 2,006,836

0

1,000,000

2,000,000

3,000,000

4,000,000

5,000,000

6,000,000

Total Medi-Cal Funded State-Funded

Target CHDP Served

Counties Serving Over 50,000 Children

Graph 5, Counties Serving More than 50,000 Children in FY 2005-2006 (Statewide Total: 2,038,833)

631,400

144,241

127,457

113,666

97,370

90,095

77,204

76,359

64,353

59,609

58,011

50,415

0 100,000 200,000 300,000 400,000 500,000 600,000 700,000

LOS ANGELES

ORANGE

SAN DIEGO

FRESNO

SAN BERNARDINO

SACRAMENTO

RIVERSIDE

KERN

SANTA CLARA

SAN JOAQUIN

ALAMEDA

TULARE

LOS ANGELES ORANGE SAN DIEGO FRESNOSAN BERNARDINO SACRAMENTO RIVERSIDE KERNSANTA CLARA SAN JOAQUIN ALAMEDA TULARE

VIII

IX

During FY 2005-06, there were 12 counties that served over 50,000 CHDP children. In FY04-05, 11 counties served over 50,000. Those counties for FY05-06 are: Los Angeles, Orange, San Diego, Fresno, San Bernardino, Sacramento, Riverside, Kern, Santa Clara, Alameda, San Joaquin, and Tulare. These counties served approximately 78.0 percent of the children statewide. Los Angeles served the most children at 631,400, which represents 30.9 percent of the children statewide (see Graph 5). Please note that the Los Angeles County numbers exclude the cities of Long Beach and Pasadena, which report separately. Tables Data discussed in the Overview and Findings are subject to more detailed analysis in the following tables. The analysis is broken into 11 sections. The first four sections deal with the count of children served and health assessments provided. The sections are arrayed by funding source. Part 5 deals with the count of specific assessments that are arrayed by age, ethnicity, and county. Part 6 deals with health providers, and Part 7 deals with immunizations given by the providers. Part 8 deals with other tests given. The rest of the data are county specific.

CALIFORNIA DEPARTMENT OF HEALTH CARE SERVICESCHILDREN'S MEDICAL SERVICES (CMS) BRANCH

CHILD HEALTH AND DISABILITY PREVENTION (CHDP) PROGRAMANNUAL REPORT FOR FISCAL YEAR 2005-2006

Page

I. OVERVIEW AND FINDINGS I

II. CHILDREN SCREENED AND AMOUNT PAID BY AGETable 1: All Funding Sources 1Table 2: Medi-Cal Fee-For-Service Funding Sources 2Table 3: Gateway Funding Sources 3Table 4: State Funding Sources 4Table 5: Information/PHP Sources 5

III. NUMBER OF CHILDREN SERVED - AGE BY ETHNICITYTable 6: All Funding Sources 6Table 7: Medi-Cal Fee-For-Service Funding Sources 7Table 8: Gateway Funding Sources 8Table 9: State Funding Sources 9Table 10: Information/PHP Sources 10

IV. SUMMARY OF ALL HEALTH ASSESSMENTS BY FUNDING SOURCESTable 11: All Funding Sources 11Table 12: Medi-Cal Fee-For-Service Funding Sources 12Table 13: Gateway Funding Sources 13Table 14: State Funding Sources 14Table 15: Information/PHP Sources 15

V. HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY AGE, ETHNICITY AND COUNTY

BY AGETable 16: Health Assessments 16Table 17: Dental Assessments 17Table 18: Nutrition Assessments 18Table 19: Anticipatory Assessments 19Table 20: Developmental Assessments 20Table 21: Vision Assessments 21Table 22: Hearing Assessments 22Table 23: Blood Tests (Hemoglobin/Hematocrit) Assessments 23Table 24: Urine Assessments 24Table 25: Urinalysis Assessments 25Table 26: Tuberculosis Assessments 26BY ETHNICITYTable 27: Health Assessments 27Table 28: Dental Assessments 28Table 29: Nutrition Assessments 29Table 30: Anticipatory Assessments 30Table 31: Developmental Assessments 31

TABLE OF CONTENTS

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PageTABLE OF CONTENTS

Table 32: Vision Assessments 32Table 33: Hearing Assessments 33Table 34: Blood Tests (Hemoglobin/Hematocrit) Assessments 34Table 35: Urine Assessments 35Table 36: Urinalysis Assessments 36Table 37: Tuberculosis Assessments 37BY COUNTYTable 38: Health Assessments 38Table 39: Dental Assessments 40Table 40: Nutrition Assessments 42Table 41: Anticipatory Assessments 44Table 42: Developmental Assessments 46Table 43: Vision Assessments 48Table 44: Hearing Assessments 50Table 45: Blood Tests (Hemoglobin/Hematocrit) Assessments 52Table 46: Urine Assessments 54Table 47: Urinalysis Assessments 56Table 48: Tuberculosis Assessments 58

VI. HEALTH PROVIDER TYPES

Table 49: Statewide Summary of CHDP Provider Types and Amount Paid 60

VII. IMMUNIZATIONS (POLIO, DPT, MMR, MEASLES, RUBELLA, HIBCON, HEP_B, DPT_HIB, DTAP, VAR, FLU, PNE, HEP_A) BY AGE, ETHNICITY AND COUNTY

BY AGETable 50: All Funding Sources 61Table 51: Medi-Cal Fee-For-Service Funding Sources 62Table 52: Gateway Funding Sources 63Table 53: State Funding Sources 64Table 54: Information/PHP Sources 65BY ETHNICITYTable 55: All Funding Sources 66Table 56: Medi-Cal Fee-For-Service Funding Sources 67Table 57: Gateway Funding Sources 68Table 58: State Funding Sources 69Table 59: Information/PHP Sources 70BY COUNTYTable 60: All Funding Sources 71Table 61: Medi-Cal Fee-For-Service Funding Sources 73Table 62: Gateway Funding Sources 75Table 63: State Funding Sources 77

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Table 64: Information/PHP Sources 79

VIII. OTHER TESTS (SICKLE CELL, LEAD, VDRL, RPR, ART, G.C. CULTURE, PAP SMEAR, P.K.U., CHLAMYDIA CULTURE, PELVIC EXAM, OVA/PARASITE)

BY AGETable 65: All Funding Sources 81Table 66: Medi-Cal Fee-For-Service Funding Sources 82Table 67: Gateway Funding Sources 83Table 68: State Funding Sources 84Table 69: Information/PHP Sources 85BY ETHNICITYTable 70: All Funding Sources 86Table 71: Medi-Cal Fee-For-Service Funding Sources 87Table 72: Gateway Funding Sources 88Table 73: State Funding Sources 89Table 74: Information/PHP Sources 90BY COUNTYTable 75: All Funding Sources 91Table 76: Medi-Cal Fee-For-Service Funding Sources 93Table 77: Gateway Funding Sources 95Table 78: State Funding Sources 97Table 79: Information/PHP Sources 99

IX. COUNTY SPECIFIC TABLESTable 80: CHDP Children Served by Funding Source 101Table 81: Percent of CHDP Children Served by Funding Source 103Table 82: Children Served by Gender 105

X. CHILDREN SCREENED FOR HEALTH ASSESSMENTS AND COUNTS FOR RISK REDUCED BY AGE AND ETHNICITY IN EACH COUNTY/CITY

Table 83A-B: Alameda County 107Table 84A-B: Alpine County 109Table 85A-B: Amador County 111Table 86A-B: Butte County 113Table 87A-B: Calaveras County 115Table 88A-B: Colusa County 117Table 89A-B: Contra Costa County 119Table 90A-B: Del Norte County 121Table 91A-B: El Dorado County 123Table 92A-B: Fresno County 125Table 93A-B: Glenn County 127Table 94A-B: Humboldt County 129

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Table 95A-B: Imperial County 131Table 96A-B: Inyo County 133Table 97A-B: Kern County 135Table 98A-B: Kings County 137Table 99A-B: Lake County 139Table 100A-B: Lassen County 141Table 101A-B: Los Angeles County 143Table 102A-B: Madera County 145Table 103A-B: Marin County 147Table 104A-B: Mariposa County 149Table 105A-B: Mendocino County 151Table 106A-B: Merced County 153Table 107A-B: Modoc County 155Table 108A-B: Mono County 157Table 109A-B: Monterey County 159Table 110A-B: Napa County 161Table 111A-B: Nevada County 163Table 112A-B: Orange County 165Table 113A-B: Placer County 167Table 114A-B: Plumas County 169Table 115A-B: Riverside County 171Table 116A-B: Sacramento County 173Table 117A-B: San Benito County 175Table 118A-B: San Bernardino County 177Table 119A-B: San Diego County 179Table 120A-B: San Francisco County 181Table 121A-B: San Joaquin County 183Table 122A-B: San Luis Obispo County 185Table 123A-B: San Mateo County 187Table 124A-B: Santa Barbara County 189Table 125A-B: Santa Clara County 191Table 126A-B: Santa Cruz County 193Table 127A-B: Shasta County 195Table 128A-B: Sierra County 197Table 129A-B: Siskiyou County 199Table 130A-B: Solano County 201Table 131A-B: Sonoma County 203Table 132A-B: Stanislaus County 205Table 133A-B: Sutter County 207Table 134A-B: Tehama County 209Table 135A-B: Trinity County 211Table 136A-B: Tulare County 213Table 137A-B: Tuolumne County 215Table 138A-B: Ventura County 217

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Table 139A-B: Yolo County 219Table 140A-B: Yuba County 221Table 141A-B: City Of Berkeley 223Table 142A-B: City Of Long Beach 225Table 143A-B: City Of Pasadena 227

XI. ANSWERS TO TOBACCO QUESTIONS

Table 144: By Age-Statewide 229Table 145: By Ethnicity-Statewide 230Table 146: By County 231

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TABLE 1

CALIFORNIA DEPARTMENT OF HEALTH SERVICESCHILDREN'S MEDICAL SERVICES

CHILD HEALTH AND DISABILITY PREVENTION (CHDP) PROGRAM

CHILDREN SCREENED AND AMOUNTS PAID BY AGE

ALL FUNDING SOURCES

July 2005 THROUGH June 2006

TOTAL CHILDREN PERCENT OF AMOUNT PAID PERCENT OFAGE RECEIVING CHDP TOTAL CHILDREN FOR CHDP TOTAL AMOUNT

SERVICES SERVED SERVICES PAID

0 590,518 28.96% $25,484,564 39.06%1 290,975 14.27% $8,579,076 13.15%2 185,883 9.12% $3,825,454 5.86%3 138,450 6.79% $2,958,938 4.54%4 157,918 7.75% $4,500,942 6.90%5 100,199 4.91% $2,756,356 4.23%6 75,613 3.71% $2,064,727 3.16%7 49,835 2.44% $1,367,834 2.10%8 44,276 2.17% $1,177,374 1.80%9 43,991 2.16% $1,199,600 1.84%

10 44,128 2.16% $1,211,553 1.86%11 51,064 2.50% $1,402,809 2.15%12 49,200 2.41% $1,429,938 2.19%13 44,645 2.19% $1,360,571 2.09%14 46,485 2.28% $1,464,801 2.25%15 41,813 2.05% $1,443,698 2.21%16 34,275 1.68% $1,233,479 1.89%17 27,930 1.37% $1,096,603 1.68%18 12,974 0.64% $634,537 0.97%19 2,493 0.12% $29,685 0.05%20 3,987 0.20% $16,196 0.02%

UNKNOWN 2,181 0.11% $0 0.00%

TOTAL 2,038,833 100.00% $65,238,735 100.00%

SOURCE: FY 2005-06 SUMMARY CHDP DATA COME FROM CONFIDENTIAL SCREENING AND BILLING FORMS (PM160).

1

TABLE 2




MEDI-CAL FEE-FOR-SERVICE FUNDING SOURCES




0 185,605 46.60% $14,836,941 48.14%1 47,923 12.03% $4,689,353 15.22%2 29,533 7.41% $1,891,864 6.14%3 21,298 5.35% $1,328,955 4.31%4 22,486 5.65% $1,798,898 5.84%5 13,229 3.32% $911,300 2.96%6 9,826 2.47% $651,950 2.12%7 6,542 1.64% $410,785 1.33%8 5,683 1.43% $355,996 1.16%9 5,960 1.50% $378,764 1.23%

10 5,913 1.48% $382,634 1.24%11 6,968 1.75% $459,353 1.49%12 6,638 1.67% $472,194 1.53%13 6,481 1.63% $465,887 1.51%14 6,633 1.67% $484,665 1.57%15 6,175 1.55% $460,047 1.49%16 5,110 1.28% $381,937 1.24%17 4,218 1.06% $314,242 1.02%18 1,446 0.36% $96,598 0.31%19 407 0.10% $29,685 0.10%20 218 0.05% $16,196 0.05%

TOTAL 398,292 100.00% $30,818,244 100.00%


2


TABLE 3




GATEWAY FUNDING SOURCES




0 129,574 33.42% $10,632,405 33.09%1 39,620 10.22% $3,802,975 11.84%2 26,404 6.81% $1,805,288 5.62%3 20,496 5.29% $1,483,640 4.62%4 26,940 6.95% $2,420,482 7.53%5 20,231 5.22% $1,661,031 5.17%6 15,900 4.10% $1,233,135 3.84%7 10,870 2.80% $832,247 2.59%8 9,310 2.40% $714,623 2.22%9 9,211 2.38% $715,299 2.23%

10 9,228 2.38% $722,963 2.25%11 10,120 2.61% $812,475 2.53%12 9,855 2.54% $837,441 2.61%13 9,154 2.36% $791,182 2.46%14 9,909 2.56% $861,076 2.68%15 9,799 2.53% $868,211 2.70%16 8,472 2.19% $753,211 2.34%17 7,503 1.94% $684,518 2.13%18 5,106 1.32% $500,641 1.56%

TOTAL 387,702 100.00% $32,132,843 100.00%

3

TOTAL 31,997 100.00% $2,287,648 100.00%


TABLE 4



STATE FUNDING SOURCES



TOTAL CHILDREN PERCENT OF AMOUNT PAID PERCENT OFAGE RECEIVING CHDP

SERVICESTOTAL CHILDREN

SERVEDFOR CHDPSERVICES

TOTAL AMOUNT PAID

0 206 0.64% $15,218 0.67%1 983 3.07% $86,748 3.79%2 1,887 5.90% $128,302 5.61%3 2,181 6.82% $146,343 6.40%4 3,527 11.02% $281,562 12.31%5 2,688 8.40% $184,025 8.04%6 2,710 8.47% $179,642 7.85%7 1,946 6.08% $124,802 5.46%8 1,649 5.15% $106,755 4.67%9 1,594 4.98% $105,537 4.61%

10 1,615 5.05% $105,956 4.63%11 1,930 6.03% $130,981 5.73%12 1,652 5.16% $120,303 5.26%13 1,460 4.56% $103,502 4.52%14 1,555 4.86% $119,060 5.20%15 1,489 4.65% $115,440 5.05%16 1,257 3.93% $98,331 4.30%17 1,207 3.77% $97,843 4.28%18 461 1.44% $37,298 1.63%

4


TOTAL 1,220,842 100.00% $0 N/A


INFORMATION/PHP FUNDING SOURCES


5


TABLE 5




0 275,133 22.54% $0 N/A1 202,449 16.58% $0 N/A2 128,059 10.49% $0 N/A3 94,475 7.74% $0 N/A4 104,965 8.60% $0 N/A5 64,051 5.25% $0 N/A6 47,177 3.86% $0 N/A7 30,477 2.50% $0 N/A8 27,634 2.26% $0 N/A9 27,226 2.23% $0 N/A

10 27,372 2.24% $0 N/A11 32,046 2.62% $0 N/A12 31,055 2.54% $0 N/A13 27,550 2.26% $0 N/A14 28,388 2.33% $0 N/A15 24,350 1.99% $0 N/A16 19,436 1.59% $0 N/A17 15,002 1.23% $0 N/A18 5,961 0.49% $0 N/A19 2,086 0.17% $0 N/A20 3,769 0.31% $0 N/A

UNKNOWN 2,181 0.18% $0 N/A

Table 6AGEGRP ETHNIC

Frequency AMERICAN ASIAN BLACK FILIPINO HISPANIC WHITE OTHER PACIFIC UNKOWN TotalINDIAN ISLANDER

0 1487 19515 28209 2768 392437 51315 59222 934 34631 5905181 739 11287 13329 1419 196218 23784 25246 449 18504 2909752 459 7268 8992 840 128698 13788 14765 280 10793 1858833 384 5207 7454 576 95692 10297 10871 221 7748 1384504 396 6137 8284 840 109832 11575 11625 240 8989 1579185 254 4418 5953 528 67501 7892 7638 206 5809 1001996 182 3529 4453 447 52033 5398 5516 137 3918 756137 128 2595 3178 317 33809 3389 3610 104 2705 498358 94 2510 2961 293 29738 2899 3254 67 2460 442769 83 2711 3045 261 29308 2959 3231 94 2299 43991

10 97 2840 3157 269 29082 3067 3169 79 2368 4412811 136 3367 3757 287 33528 3671 3577 70 2671 5106412 112 3549 3899 268 31391 3649 3595 96 2641 4920013 100 3314 3637 276 28176 3435 3194 76 2437 4464514 130 3588 3851 290 28995 3664 3299 87 2581 4648515 95 3499 3566 257 25526 3412 3143 53 2262 4181316 93 3259 2941 205 20545 2738 2557 48 1889 3427517 74 3030 2364 150 16417 2277 2083 34 1501 2793018 12 1715 915 73 8181 795 772 12 499 1297419 1 754 282 11 770 252 289 1 133 249320 12 788 289 20 1743 370 440 5 320 3987

UNKNOWN 7 124 114 8 1386 176 191 3 172 2181

Total 5075 95004 114630 10403 1361006 160802 171287 3296 117330 2038833


Frequency AMERICAN ASIAN BLACK FILIPINO HISPANIC WHITE OTHER PACIFIC UNKOWN TotalINDIAN ISLANDE

0 240 6283 9634 791 116293 17964 22539 231 11630 1856051 103 1292 2244 155 28743 6111 4944 75 4256 479232 43 811 1478 115 18005 3572 2975 48 2486 295333 46 608 1304 79 12800 2547 2134 42 1738 212984 42 715 1449 114 13499 2708 2191 34 1734 224865 34 488 1006 66 7352 1819 1411 29 1024 132296 17 408 847 42 5386 1297 1076 23 730 98267 19 229 691 41 3354 902 724 16 566 65428 7 206 677 34 2865 812 645 11 426 56839 10 242 700 24 2991 827 724 11 431 5960

10 13 224 781 26 2847 882 669 10 461 591311 18 276 951 28 3286 1113 782 6 508 696812 15 264 987 28 3064 1017 755 9 499 663813 16 275 1007 26 2902 979 773 9 494 648114 20 257 1054 26 2907 1110 742 10 507 663315 11 296 1027 21 2514 1032 792 10 472 617516 15 211 937 17 2000 850 705 9 366 511017 15 217 776 15 1552 725 593 5 320 421818 2 108 262 4 543 235 182 0 110 144619 0 50 76 0 119 62 66 0 34 40720 0 41 30 1 47 40 48 0 11 218

Total 686 13501 27918 1653 233069 46604 45470 588 28803 398292


Frequency AMERICAN ASIAN BLACK FILIPINO HISPANIC WHITE OTHER PACIFIC UNKOWN TotalINDIAN ISLANDER

0 141 2343 6056 563 93379 8215 12750 190 5937 1295741 39 747 1268 172 29595 2058 2936 44 2761 396202 34 427 623 109 20779 1063 1589 34 1746 264043 23 303 521 98 16303 832 1133 19 1264 204964 23 469 648 150 21285 1136 1441 33 1755 269405 16 391 552 129 15668 985 1138 34 1318 202316 20 313 397 149 12897 571 773 35 745 159007 10 237 212 94 9078 289 446 16 488 108708 11 193 170 113 7793 198 398 13 421 93109 8 183 172 92 7757 209 346 18 426 9211

10 10 195 174 103 7777 219 347 9 394 922811 9 191 193 99 8539 221 383 9 476 1012012 7 219 176 100 8263 256 376 18 440 985513 7 195 194 90 7710 199 323 8 428 915414 10 205 223 92 8239 257 379 13 491 990915 7 210 241 86 8185 242 375 7 446 979916 12 167 190 73 7166 176 295 7 386 847217 8 146 147 52 6443 137 219 5 346 750318 1 67 66 30 4656 91 101 1 93 5106

Total 396 7201 12223 2394 301512 17354 25748 513 20361 387702

AGEGRP ETHNIC

FrequencyINDIAN ISLANDER

18 0 2 1 1 435 3 7 0 12 461

13 150 63 83 29474 146 622 9 1437 31997

Table 9

AMERICAN ASIAN BLACK FILIPINO HISPANIC WHITE OTHER PACIFIC UNKOWN Total

0 1 1 0 1 177 2 11 0 13 2061 2 5 3 2 880 6 21 0 64 9832 1 7 4 3 1717 5 37 2 111 18873 1 11 2 2 1991 9 49 1 115 21814 2 13 4 10 3232 11 81 0 174 35275 1 22 5 16 2438 7 56 1 142 26886 2 12 6 9 2489 14 57 3 118 27107 0 11 4 3 1793 13 44 0 78 19468 0 5 1 2 1526 6 27 0 82 16499 0 11 5 4 1466 16 27 1 64 1594

10 0 4 0 5 1502 8 25 0 71 161511 0 4 1 5 1800 7 32 0 81 193012 0 7 5 3 1531 8 30 0 68 165213 0 8 7 4 1356 2 26 0 57 146014 2 9 4 3 1439 13 32 0 53 155515 1 8 5 4 1384 7 26 0 54 148916 0 3 3 3 1188 4 20 0 36 125717 0 7 3 3 1130 5 14 1 44 1207

AGEGRP ETHNIC

FrequencyINDIAN ISLANDER

UNKNOWN 7 124 114 8 1386 176 191 3 172 2181

Total 3980 74152 74426 6273 796951 96698 99447 2186 66729 1220842

Table 10

AMERICAN ASIAN BLACK FILIPINO HISPANIC WHITE OTHER PACIFIC UNKOWN Total

0 1105 10888 12519 1413 182588 25134 23922 513 17051 2751331 595 9243 9814 1090 137000 15609 17345 330 11423 2024492 381 6023 6887 613 88197 9148 10164 196 6450 1280593 314 4285 5627 397 64598 6909 7555 159 4631 944754 329 4940 6183 566 71816 7720 7912 173 5326 1049655 203 3517 4390 317 42043 5081 5033 142 3325 640516 143 2796 3203 247 31261 3516 3610 76 2325 471777 99 2118 2271 179 19584 2185 2396 72 1573 304778 76 2106 2113 144 17554 1883 2184 43 1531 276349 65 2275 2168 141 17094 1907 2134 64 1378 27226

10 74 2417 2202 135 16956 1958 2128 60 1442 2737211 109 2896 2612 155 19903 2330 2380 55 1606 3204612 90 3059 2731 137 18533 2368 2434 69 1634 3105513 77 2836 2429 156 16208 2255 2072 59 1458 2755014 98 3117 2570 169 16410 2284 2146 64 1530 2838815 76 2985 2293 146 13443 2131 1950 36 1290 2435016 66 2878 1811 112 10191 1708 1537 32 1101 1943617 51 2660 1438 80 7292 1410 1257 23 791 1500218 9 1538 586 38 2547 466 482 11 284 596119 1 704 206 11 651 190 223 1 99 208620 12 747 259 19 1696 330 392 5 309 3769

TABLE 11



SUMMARY OF ALL HEALTH ASSESSMENTS BY FUNDING SOURCES

ALL FUNDING SOURCES

July 2005 Through June 2006

NUMBER OF *NUMBER OF NUMBER OFCHILDREN ASSESSMENTS CHILDREN

TYPE OF TOTAL RECEIVING INDICATING RISK WITH RISKASSESSMENT ASSESSMENTS ASSESSMENTS REDUCED REDUCED

HEALTH 2,256,037 1,805,529 375,157 343,829DENTAL 2,238,532 1,795,731 86,007 83,622NUTRITION 2,263,128 1,811,474 42,074 40,741ANTICIPATORY 2,264,249 1,812,479 6,124 5,551DEVELOPMENTAL 2,258,546 1,808,697 13,652 13,057VISION 738,711 707,854 55,976 54,817HEARING 726,721 697,348 10,253 10,007BLOOD 1,102,048 1,009,675 84,924 80,280URINE DIP 573,652 555,604 14,209 13,877URINALYSIS 61,102 55,848 4,131 3,993TUBERCULIN 537,668 517,339 21,416 20,778

NUMBER OF CHILDREN RECEIVING CHDP SERVICES: 2,038,833

SOURCE: FY 2005-06 SUMMARY CHDP DATA FROM CONFIDENTIALSCREENING AND BILLING FORMS (PM160).*NOTE: A RISK REDUCED IS DEFINED AS A REFERRAL CODE OF 3, 4, OR 5 ON THE PM160:

3 = DX MADE AND RX STARTED4 = DX PENDING/RETURN VISIT SCHEDULED5 = REFERRED TO ANOTHER EXAMINER FOR DX/RX.

11

TABLE 12








HEALTH 440,713 356,667 71,860 66,809DENTAL 435,733 353,275 9,020 8,895NUTRITION 439,854 356,166 4,844 4,710ANTICIPATORY 439,840 356,154 1,479 1,398DEVELOPMENTAL 439,454 355,882 2,613 2,536VISION 98,794 95,009 7,136 7,030HEARING 97,551 93,810 1,432 1,398BLOOD 156,819 144,280 12,902 12,178URINE DIP 74,894 72,543 1,559 1,534URINALYSIS 7,411 7,194 331 322TUBERCULIN 68,682 66,716 2,025 1,971

NUMBER OF CHILDREN RECEIVING CHDP SERVICES: 398,292



12

TABLE 13








HEALTH 414,873 346,725 71,831 66,956DENTAL 411,483 344,550 23,731 23,553NUTRITION 414,004 346,253 10,558 10,398ANTICIPATORY 414,034 346,275 2,199 1,881DEVELOPMENTAL 413,750 346,090 1,727 1,704VISION 153,555 150,961 12,474 12,368HEARING 151,335 148,659 1,590 1,572BLOOD 217,778 204,337 16,649 15,987URINE DIP 132,037 129,992 3,187 3,161URINALYSIS 10,944 9,578 957 933TUBERCULIN 113,225 111,243 4,555 4,499




13

ASSESSMENT ASSESSMENTS ASSESSMENTS REDUCED REDUCED

*NOTE: A RISK REDUCED IS DEFINED AS A REFERRAL CODE OF 3, 4, OR 5 ON THE PM160:

5 = REFERRED TO ANOTHER EXAMINER FOR DX/RX.

TABLE 14







TYPE OF TOTAL RECEIVING INDICATING RISK WITH RISK

HEALTH 26,717 25,382 5,424 5,297DENTAL 26,584 25,275 5,157 5,064NUTRITION 26,634 25,330 1,455 1,436ANTICIPATORY 26,633 25,328 78 75DEVELOPMENTAL 26,614 25,309 294 289VISION 21,748 21,011 2,598 2,558HEARING 21,426 20,721 357 347BLOOD 25,706 23,935 1,807 1,725URINE DIP 19,273 18,640 666 656URINALYSIS 1,673 1,520 170 168TUBERCULIN 12,101 11,635 1,091 1,052


SOURCE: FY 2005-06 SUMMARY CHDP DATA FROM CONFIDENTIALSCREENING AND BILLING FORMS (PM160).

3 = DX MADE AND RX STARTED4 = DX PENDING/RETURN VISIT SCHEDULED

14

ASSESSMENT ASSESSMENTS ASSESSMENTS REDUCED REDUCED


5 = REFERRED TO ANOTHER EXAMINER FOR DX/RX.



TABLE 15





TYPE OF TOTAL RECEIVING INDICATING RISK WITH RISK

HEALTH 1,373,734 1,076,755 226,042 204,767DENTAL 1,364,732 1,072,631 48,099 46,110NUTRITION 1,382,636 1,083,725 25,217 24,197ANTICIPATORY 1,383,742 1,084,722 2,368 2,197DEVELOPMENTAL 1,378,728 1,081,416 9,018 8,528VISION 464,614 440,873 33,768 32,861HEARING 456,409 434,158 6,874 6,690BLOOD 701,745 637,123 53,566 50,390URINE DIP 347,448 334,429 8,797 8,526URINALYSIS 41,074 37,556 2,673 2,570TUBERCULIN 343,660 327,745 13,745 13,256

NUMBER OF CHILDREN RECEIVING CHDP SERVICES: 1,220,842

SOURCE: FY 2005-06 SUMMARY CHDP DATA FROM CONFIDENTIALSCREENING AND BILLING FORMS (PM160).


15

TOTAL TOTAL *TOTALCHILDREN CHILDREN HEALTH TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP HEALTH HEALTH INDICATING RISK WITH RISK

SERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

0 590,518 788,215 569,239 118,415 104,9491 290,975 437,841 267,996 67,934 56,0082 185,883 180,972 152,555 27,748 25,9273 138,450 123,008 117,042 18,897 18,3244 157,918 136,862 129,785 19,134 18,5565 100,199 85,832 82,210 13,742 13,3586 75,613 68,563 66,409 12,512 12,2557 49,835 44,018 42,704 9,235 9,0168 44,276 38,793 37,692 8,434 8,2489 43,991 38,533 37,471 8,571 8,39810 44,128 38,715 37,595 8,476 8,30011 51,064 43,299 41,869 8,980 8,76312 49,200 41,538 40,166 8,927 8,69213 44,645 38,016 36,718 8,557 8,34314 46,485 40,478 39,114 9,009 8,77215 41,813 36,658 35,407 8,524 8,32016 34,275 30,125 29,099 7,365 7,18217 27,930 24,663 23,829 6,034 5,88518 12,974 11,343 11,022 2,825 2,77819 2,493 2,228 2,153 636 62520 3,987 3,935 3,496 818 777UNKNOWN 2,181 2,402 1,958 384 353

TOTAL 2,038,833 2,256,037 1,805,529 375,157 343,829

SOURCE: FY 2005-06 SUMMARY CHDP DATA FROM CONFIDENTIAL SCREENING AND BILLING FORMS (PM160).

* NOTE: A RISK REDUCED IS DEFINED AS A REFERRAL CODE OF 3, 4, OR 5 ON THE PM160:

3 = DX MADE AND RX STARTED4 = DX PENDING/RETURN VISIT SCHEDULED5 = REFERRED TO ANOTHER EXAMINER FOR DX/RX

TABLE 16



HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY AGE

HEALTH ASSESSMENTS


AGE

16

TOTAL TOTAL *TOTALCHILDREN CHILDREN DENTAL TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP DENTAL DENTAL INDICATING RISK WITH RISK


0 590,518 771,973 558,809 1,155 1,1011 290,975 437,080 267,992 5,384 4,7922 185,883 180,841 152,523 6,223 6,0143 138,450 122,861 117,033 9,157 8,9414 157,918 136,626 129,746 12,001 11,7205 100,199 85,805 82,274 8,898 8,7036 75,613 68,564 66,452 7,827 7,6817 49,835 43,992 42,752 4,792 4,7048 44,276 38,843 37,780 3,915 3,8459 43,991 38,549 37,512 3,651 3,60310 44,128 38,744 37,669 3,449 3,40011 51,064 43,305 41,934 3,338 3,27212 49,200 41,554 40,264 3,024 2,95213 44,645 38,061 36,794 2,649 2,58714 46,485 40,464 39,149 2,786 2,72015 41,813 36,725 35,509 2,478 2,40916 34,275 30,117 29,143 2,133 2,09617 27,930 24,644 23,837 1,805 1,75818 12,974 11,300 10,993 1,085 1,07319 2,493 2,223 2,152 67 6720 3,987 3,893 3,470 128 125UNKNOWN 2,181 2,368 1,944 62 59

TOTAL 2,038,833 2,238,532 1,795,731 86,007 83,622




TABLE 17




DENTAL ASSESSMENTS


AGE

17

TOTAL TOTAL *TOTALCHILDREN CHILDREN NUTRITION TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP NUTRITION NUTRITION INDICATING RISK WITH RISK


0 590,518 790,063 570,337 3,531 3,3501 290,975 439,903 268,895 4,379 3,8832 185,883 181,547 153,053 2,634 2,5323 138,450 123,398 117,545 2,141 2,1004 157,918 137,248 130,330 2,709 2,6695 100,199 86,176 82,610 2,452 2,4006 75,613 68,844 66,719 2,457 2,4157 49,835 44,171 42,920 1,774 1,7498 44,276 38,935 37,866 1,842 1,8109 43,991 38,670 37,623 2,042 2,00510 44,128 38,818 37,741 2,231 2,21011 51,064 43,394 42,020 2,465 2,42212 49,200 41,644 40,348 2,359 2,30713 44,645 38,152 36,889 2,122 2,08314 46,485 40,567 39,246 1,898 1,85715 41,813 36,782 35,563 1,731 1,70616 34,275 30,177 29,199 1,444 1,42017 27,930 24,705 23,898 1,129 1,09618 12,974 11,335 11,025 561 55819 2,493 2,228 2,154 53 5320 3,987 3,941 3,504 90 86UNKNOWN 2,181 2,430 1,989 30 30

TOTAL 2,038,833 2,263,128 1,811,474 42,074 40,741




TABLE 18




NUTRITION ASSESSMENTS


AGE

18

TOTAL TOTAL *TOTALCHILDREN CHILDREN ANTICIPATORY TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP ANTICIPATORY ANTICIPATORY INDICATING RISK WITH RISK


0 590,518 790,133 570,380 2,067 1,7561 290,975 440,009 268,940 1,094 8832 185,883 181,612 153,108 411 3913 138,450 123,460 117,610 319 3174 157,918 137,298 130,385 367 3655 100,199 86,245 82,684 198 1986 75,613 68,908 66,782 184 1817 49,835 44,227 42,977 110 1108 44,276 38,982 37,912 76 769 43,991 38,723 37,675 106 10610 44,128 38,879 37,804 111 10911 51,064 43,469 42,095 129 12712 49,200 41,714 40,413 127 12413 44,645 38,201 36,932 132 13014 46,485 40,635 39,315 150 14815 41,813 36,864 35,637 171 16816 34,275 30,208 29,219 167 16417 27,930 24,729 23,923 137 13018 12,974 11,338 11,027 51 5119 2,493 2,236 2,162 12 1220 3,987 3,946 3,509 4 4UNKNOWN 2,181 2,433 1,990 1 1

TOTAL 2,038,833 2,264,249 1,812,479 6,124 5,551




TABLE 19




ANTICIPATORY ASSESSMENTS


AGE

19

TOTAL TOTAL *TOTALCHILDREN CHILDREN DEVELOPMENTAL TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP DEVELOPMENTAL DEVELOPMENTAL INDICATING RISK WITH RISK


0 590,518 788,620 569,645 1,349 1,2671 290,975 438,540 268,314 2,602 2,3382 185,883 180,921 152,604 2,445 2,3573 138,450 123,075 117,254 1,925 1,8784 157,918 137,029 130,131 1,452 1,4225 100,199 86,127 82,573 710 6926 75,613 68,804 66,695 508 4987 49,835 44,106 42,862 391 3858 44,276 38,880 37,812 339 3339 43,991 38,622 37,577 284 28110 44,128 38,755 37,683 232 23011 51,064 43,361 41,986 263 26212 49,200 41,592 40,294 232 22613 44,645 38,071 36,808 211 20414 46,485 40,546 39,232 188 18415 41,813 36,775 35,552 160 15416 34,275 30,155 29,169 141 13517 27,930 24,666 23,862 119 11518 12,974 11,310 11,003 56 5519 2,493 2,231 2,157 5 520 3,987 3,935 3,500 30 26UNKNOWN 2,181 2,425 1,984 10 10

TOTAL 2,038,833 2,258,546 1,808,697 13,652 13,057




TABLE 20



HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY AGEDEVELOPMENTAL ASSESSMENTS


AGE

20

TOTAL TOTAL *TOTALCHILDREN CHILDREN VISION TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP VISION VISION INDICATING RISK WITH RISK


0 590,518 13,248 11,449 252 2421 290,975 16,824 8,084 514 2452 185,883 6,258 5,918 228 2283 138,450 58,572 57,021 2,654 2,6304 157,918 107,464 103,572 4,530 4,4455 100,199 76,351 73,798 4,280 4,2056 75,613 63,271 61,635 5,161 5,0827 49,835 40,689 39,710 4,048 3,9888 44,276 36,081 35,184 3,745 3,6869 43,991 35,750 34,930 3,637 3,58010 44,128 35,858 35,013 3,569 3,52411 51,064 39,671 38,629 3,791 3,74212 49,200 38,014 36,982 3,537 3,46313 44,645 34,989 33,963 3,302 3,24914 46,485 37,209 36,184 3,502 3,43315 41,813 33,738 32,773 3,204 3,15216 34,275 27,639 26,891 2,585 2,53917 27,930 22,522 21,882 2,156 2,11918 12,974 10,340 10,124 981 96819 2,493 1,792 1,753 136 13520 3,987 1,888 1,839 121 119UNKNOWN 2,181 543 520 43 43

TOTAL 2,038,833 738,711 707,854 55,976 54,817




TABLE 21




VISION ASSESSMENTS


AGE

21

TOTAL TOTAL *TOTALCHILDREN CHILDREN HEARING TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP HEARING HEARING INDICATING RISK WITH RISK


0 590,518 8,805 7,408 155 1541 290,975 13,098 5,256 251 1942 185,883 5,004 4,710 212 2103 138,450 59,628 58,089 1,944 1,9304 157,918 109,812 105,819 1,877 1,8405 100,199 76,044 73,517 951 9296 75,613 62,381 60,767 815 8017 49,835 40,351 39,385 527 5178 44,276 35,765 34,892 437 4289 43,991 35,468 34,647 400 39410 44,128 35,450 34,610 389 37311 51,064 39,435 38,392 405 39612 49,200 37,686 36,669 319 30913 44,645 34,697 33,695 352 33514 46,485 36,532 35,534 310 30115 41,813 33,120 32,180 279 27316 34,275 27,123 26,397 233 22817 27,930 22,078 21,461 202 20118 12,974 10,205 9,985 149 14819 2,493 1,756 1,719 13 1320 3,987 1,783 1,736 19 19UNKNOWN 2,181 500 480 14 14

TOTAL 2,038,833 726,721 697,348 10,253 10,007




TABLE 22




HEARING ASSESSMENTS


AGE

22

TOTAL TOTAL **TOTALCHILDREN CHILDREN BLOOD TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP BLOOD BLOOD INDICATING RISK WITH RISK


0 590,518 78,226 73,146 9,905 9,5211 290,975 204,729 159,200 24,141 21,5662 185,883 126,646 113,171 13,901 13,2193 138,450 102,005 96,297 9,347 9,0364 157,918 116,122 109,488 7,933 7,7095 100,199 70,867 67,759 4,572 4,4606 75,613 56,702 54,847 3,202 3,1427 49,835 35,724 34,676 1,748 1,7178 44,276 31,269 30,303 1,324 1,2969 43,991 31,031 30,174 1,143 1,12710 44,128 31,188 30,273 1,036 1,02111 51,064 34,829 33,716 1,079 1,04612 49,200 33,084 32,029 975 91513 44,645 30,408 29,404 853 84214 46,485 32,254 31,187 935 90615 41,813 29,392 28,392 826 80816 34,275 24,143 23,297 761 74117 27,930 19,791 19,110 666 65218 12,974 9,368 9,125 293 29019 2,493 1,430 1,397 63 6120 3,987 1,895 1,810 131 121UNKNOWN 2,181 945 874 90 84

TOTAL 2,038,833 1,102,048 1,009,675 84,924 80,280


* BLOOD TEST IS DEFINED AS HEMOGLOBIN ORBHEMATOCRIT TEST.

** NOTE: A RISK REDUCED IS DEFINED AS A REFERRAL CODE OF 3, 4, OR 5 ON THE PM160:


TABLE 23




BLOOD TESTS*


AGE

23

TOTAL TOTAL *TOTALCHILDREN CHILDREN URINE TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP URINE URINE INDICATING RISK WITH RISK


0 590,518 2,604 2,526 75 751 290,975 6,470 3,279 150 1012 185,883 3,884 3,798 107 1053 138,450 31,247 30,637 747 7364 157,918 89,176 86,423 2,017 1,9745 100,199 61,767 59,835 1,558 1,5306 75,613 51,404 50,119 1,435 1,4037 49,835 33,256 32,508 887 8748 44,276 29,606 28,877 794 7799 43,991 29,502 28,829 788 77610 44,128 29,570 28,907 724 71111 51,064 32,923 32,055 775 75312 49,200 31,447 30,643 706 68913 44,645 28,803 28,028 651 63714 46,485 30,443 29,641 751 72915 41,813 27,689 26,956 699 68616 34,275 22,733 22,186 593 58017 27,930 18,785 18,270 458 44618 12,974 9,067 8,886 210 21019 2,493 1,460 1,430 40 3920 3,987 1,448 1,410 37 37UNKNOWN 2,181 368 361 7 7

TOTAL 2,038,833 573,652 555,604 14,209 13,877




TABLE 24




URINE ASSESSMENTS


AGE

24

TOTAL TOTAL *TOTALCHILDREN CHILDREN URINALYSIS TOTAL

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP URINALYSIS URINALYSIS INDICATING RISK WITH RISK


0 590,518 1,300 1,249 44 421 290,975 4,083 1,477 66 332 185,883 1,230 1,198 38 383 138,450 3,522 3,434 159 1524 157,918 8,531 8,154 506 4995 100,199 5,884 5,591 419 4096 75,613 4,628 4,432 361 3497 49,835 3,048 2,928 252 2448 44,276 2,811 2,675 222 2139 43,991 2,805 2,690 229 22710 44,128 2,842 2,720 209 20411 51,064 3,243 3,072 239 23812 49,200 2,960 2,830 233 22813 44,645 2,852 2,703 209 20314 46,485 3,106 2,942 236 22615 41,813 2,902 2,716 225 21716 34,275 2,426 2,263 193 18717 27,930 1,965 1,832 174 16718 12,974 584 567 65 6519 2,493 145 142 22 2220 3,987 167 165 25 2UNKNOWN 2,181 68 68 5 5

TOTAL 2,038,833 61,102 55,848 4,131 3,970




TABLE 25



HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY AGE URINALYSIS ASSESSMENTS


AGE

25

TOTAL TOTAL **TOTALCHILDREN CHILDREN TUBERCULIN TOTAL

RECEIVING TOTAL RECEIVING TESTS CHILDRENCHDP TUBERCULIN TUBERCULIN INDICATING RISK WITH RISK

SERVICES TESTS TESTS REDUCED REDUCED

0 590,518 9,120 8,894 173 1711 290,975 77,730 71,749 2,061 1,9442 185,883 38,195 36,984 1,394 1,3563 138,450 53,837 52,033 1,948 1,8824 157,918 88,116 84,582 3,453 3,3225 100,199 51,901 49,980 2,207 2,1406 75,613 30,756 29,945 1,058 1,0307 49,835 17,819 17,393 670 6528 44,276 16,040 15,664 646 6329 43,991 16,591 16,194 654 64010 44,128 16,798 16,422 746 73411 51,064 20,467 19,952 880 86412 49,200 19,223 18,652 926 90013 44,645 17,564 17,108 911 89114 46,485 18,024 17,549 997 97015 41,813 15,697 15,273 868 85516 34,275 12,797 12,467 808 79517 27,930 10,141 9,826 615 60518 12,974 4,678 4,573 274 27019 2,493 783 765 32 3220 3,987 1,007 959 77 75UNKNOWN 2,181 384 375 18 18

TOTAL 2,038,833 537,668 517,339 21,416 20,778


* TB TEST CONSISTS OF MANTOUX TEST.



TABLE 26



HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY AGETUBERCULOSIS TESTS*


AGE

26

Table 27

TOTAL TOTALCHILDREN CHILDREN HEALTH TOTALRECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP HEALTH HEALTH RISK WITH RISK

ETHNIC SERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

AMERICAN INDIAN 5,075 5,349 4,572 890 849ASIAN 95,004 103,000 83,807 14,244 13,205BLACK 114,630 118,704 100,323 27,323 25,259FILIPINO 10,403 11,065 8,951 1,810 1,680HISPANIC 1,361,006 1,507,899 1,210,283 250,010 229,574WHITE 160,802 175,300 142,203 28,050 26,077OTHER 171,287 206,718 152,786 32,318 28,649PACIFIC ISLANDER 3,296 3,502 2,926 697 654UNKOWN 117,330 124,500 99,678 19,815 17,882

2,038,833 2,256,037 1,805,529 375,157 343,829

Table 28TOTAL TOTALCHILDREN CHILDREN HEALTH TOTALRECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP HEALTH HEALTH RISK WITH RISK


AMERICAN INDIAN 5,075 5,202 4,459 256 253ASIAN 95,004 102,071 83,257 2,819 2,766BLACK 114,630 117,689 99,763 2,707 2,640FILIPINO 10,403 10,984 8,903 632 623HISPANIC 1,361,006 1,496,134 1,203,656 65,934 64,281WHITE 160,802 173,827 141,239 5,207 5,074OTHER 171,287 205,473 152,035 4,160 3,780PACIFIC ISLANDER 3,296 3,452 2,901 164 162UNKOWN 117,330 123,700 99,518 4,128 4,043

2,038,833 2,238,532 1,795,731 86,007 83,622

Table 29



AMERICAN INDIAN 5,075 5,405 4,608 145 143ASIAN 95,004 102,954 83,815 1,077 1,044BLACK 114,630 119,205 100,840 1,685 1,647

FILIPINO 10,403 11,092 8,973 267 264HISPANIC 1,361,006 1,511,646 1,213,335 32,983 32,091WHITE 160,802 176,470 143,108 2,051 2,002OTHER 171,287 207,753 153,390 1,959 1,698PACIFIC ISLANDER 3,296 3,501 2,930 100 98UNKOWN 117,330 125,102 100,475 1,807 1,754

2,038,833 2,263,128 1,811,474 42,074 40,741

Table 30



AMERICAN INDIAN 5,075 5,362 4,580 15 15ASIAN 95,004 102,967 83,839 235 225BLACK 114,630 119,284 100,914 329 294FILIPINO 10,403 11,098 8,974 16 16HISPANIC 1,361,006 1,512,479 1,214,069 4,110 3,703WHITE 160,802 176,515 143,143 753 687OTHER 171,287 207,816 153,443 337 296PACIFIC ISLANDER 3,296 3,505 2,935 6 6UNKOWN 117,330 125,223 100,582 323 309

2,038,833 2,264,249 1,812,479 6,124 5,551

Table 31



AMERICAN INDIAN 5,075 5,382 4,595 71 70ASIAN 95,004 102,360 83,325 361 343BLACK 114,630 119,031 100,719 702 676FILIPINO 10,403 11,077 8,966 62 62HISPANIC 1,361,006 1,509,240 1,212,109 8,750 8,435WHITE 160,802 176,048 142,836 1,402 1,360OTHER 171,287 207,306 153,134 1,161 1,008PACIFIC ISLANDER 3,296 3,495 2,927 15 15UNKOWN 117,330 124,607 100,086 1,128 1,088

2,038,833 2,258,546 1,808,697 13,652 13,057

Table 32

TOTAL TOTAL

CHILDREN CHILDREN HEALTH TOTALRECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP HEALTH HEALTH RISK WITH RISK


AMERICAN INDIAN 5,075 1,971 1,914 147 146ASIAN 95,004 40,585 39,359 2,124 2,097BLACK 114,630 48,200 46,593 3,754 3,697FILIPINO 10,403 3,881 3,750 304 299HISPANIC 1,361,006 493,595 478,644 40,585 39,941WHITE 160,802 53,868 51,780 3,270 3,227OTHER 171,287 57,962 48,587 3,387 3,040PACIFIC ISLANDER 3,296 1,227 1,186 93 91UNKOWN 117,330 37,422 36,041 2,312 2,279

2,038,833 738,711 707,854 55,976 54,817

Table 33



AMERICAN INDIAN 5,075 1,819 1,768 33 33ASIAN 95,004 38,796 37,666 380 375BLACK 114,630 47,204 45,665 568 559FILIPINO 10,403 3,728 3,602 70 65HISPANIC 1,361,006 489,915 475,469 7,068 6,931WHITE 160,802 52,366 50,315 838 828OTHER 171,287 56,687 47,964 721 653PACIFIC ISLANDER 3,296 1,205 1,164 22 22UNKOWN 117,330 35,001 33,735 553 541

2,038,833 726,721 697,348 10,253 10,007

Table 34



AMERICAN INDIAN 5,075 2,759 2,624 229 225ASIAN 95,004 37,316 35,020 2,592 2,448BLACK 114,630 56,598 53,396 4,891 4,698FILIPINO 10,403 4,721 4,427 370 354HISPANIC 1,361,006 798,720 734,279 65,266 61,720

UNKOWN 117,330 50,351 45,094 2,871 2,735

2,038,833 1,102,048 1,009,675 84,924 80,280

Table 35


UNKOWN 117,330 25,417 24,615 520 512

2,038,833 573,652 555,604 14,209 13,877

Table 36


UNKOWN 117,330 7,473 6,398 513 493

2,038,833 61,102 55,848 4,131 3,993

Table 37

WHITE 160,802 74,587 69,626 4,632 4,418OTHER 171,287 75,406 63,728 3,959 3,570PACIFIC ISLANDER 3,296 1,590 1,481 114 112


AMERICAN INDIAN 5,075 1,405 1,377 51 51ASIAN 95,004 26,644 26,064 387 381BLACK 114,630 34,145 33,217 650 639FILIPINO 10,403 2,741 2,654 76 75HISPANIC 1,361,006 403,886 393,854 10,756 10,546WHITE 160,802 38,636 37,549 893 874OTHER 171,287 39,928 35,449 834 758PACIFIC ISLANDER 3,296 850 825 42 41


AMERICAN INDIAN 5,075 230 225 9 9ASIAN 95,004 3,551 3,494 450 443BLACK 114,630 5,048 4,939 222 218FILIPINO 10,403 239 235 26 25HISPANIC 1,361,006 34,862 33,554 2,397 2,334WHITE 160,802 3,786 3,712 293 288OTHER 171,287 5,787 3,171 203 166PACIFIC ISLANDER 3,296 126 120 18 17


UNKOWN 117,330 24,416 23,531 669 654

2,038,833 537,668 517,339 21,416 20,778


AMERICAN INDIAN 5,075 754 737 28 27ASIAN 95,004 26,166 25,615 842 829BLACK 114,630 34,038 32,785 1,098 1,072FILIPINO 10,403 2,908 2,823 271 266HISPANIC 1,361,006 379,528 368,100 16,140 15,710WHITE 160,802 28,453 27,521 1,575 1,519OTHER 171,287 40,553 35,406 717 628PACIFIC ISLANDER 3,296 852 821 76 73

TABLE 38



HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY COUNTYHEALTH ASSESSMENTS

JULY 2005 THROUGH JUNE 2006

COUNTY




ALAMEDA 58,011 65,184 51,530 12,542 11,441ALPINE 324 347 281 57 53AMADOR 1,167 1,320 1,086 170 159BUTTE 13,586 15,562 11,787 2,179 2,020CALAVERAS 2,750 3,061 2,461 312 296COLUSA 2,702 3,268 2,505 536 485CONTRA COSTA 25,200 29,856 23,650 6,466 5,855DEL NORTE 1,530 1,763 1,447 228 223EL DORADO 5,145 5,467 4,238 403 385FRESNO 113,666 118,010 96,498 21,460 19,739GLENN 1,851 2,170 1,686 289 269HUMBOLDT 5,936 6,782 5,245 1,131 1,015IMPERIAL 14,611 16,446 12,796 1,884 1,818INYO 822 935 754 154 143KERN 76,359 80,198 65,880 13,131 12,337KINGS 8,421 9,147 7,179 1,692 1,591LAKE 1,912 2,062 1,759 173 169LASSEN 1,280 1,448 1,208 98 94LOS ANGELES 631,400 716,965 572,808 110,215 100,940MADERA 13,346 14,666 11,212 3,114 2,793MARIN 3,737 4,392 3,277 1,173 1,024MARIPOSA 195 207 176 15 15MENDOCINO 4,131 4,945 3,836 349 328MERCED 22,000 25,976 19,435 2,136 2,014MODOC 381 380 317 18 16MONO 663 858 640 110 102MONTEREY 13,452 11,525 10,259 1,514 1,461NAPA 5,267 6,575 4,848 1,108 1,033NEVADA 2,030 2,338 1,839 208 188ORANGE 144,241 149,582 123,864 23,417 22,039PLACER 6,527 7,916 5,790 1,679 1,493PLUMAS 793 864 717 92 85RIVERSIDE 77,204 83,068 70,856 12,886 12,065SACRAMENTO 90,095 97,679 80,134 18,456 17,343SAN BENITO 2,148 2,153 1,782 309 287SAN BERNARDINO 97,370 107,350 89,329 28,937 26,647SAN DIEGO 127,457 143,771 113,110 31,066 27,464SAN FRANCISCO 24,167 27,725 21,750 4,484 4,096SAN JOAQUIN 59,609 65,033 51,908 14,640 12,946SAN LUIS OBISPO 8,821 10,427 7,653 1,043 954SAN MATEO 20,666 22,954 17,517 2,982 2,747

(CONTINUED)

38

TABLE 38 (CONTINUED)



HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY COUNTYHEALTH ASSESSMENTS


COUNTY




SANTA BARBARA 30,814 34,032 26,171 3,277 3,044SANTA CLARA 64,353 73,392 57,158 6,021 5,671SANTA CRUZ 4,092 3,885 3,302 677 636SHASTA 8,733 10,256 8,224 1,134 1,071SIERRA 111 126 107 18 17SISKIYOU 2,376 2,710 2,076 396 366SOLANO 14,985 16,630 12,987 1,931 1,772SONOMA 14,077 16,835 12,659 2,153 2,021STANISLAUS 40,526 42,236 33,934 6,844 6,358SUTTER 4,933 5,579 4,273 641 549TEHAMA 4,678 4,565 4,280 668 662TRINITY 516 566 478 90 89TULARE 50,415 56,319 44,597 6,384 5,924TUOLUMNE 1,182 1,333 1,105 281 258VENTURA 38,857 44,872 32,345 8,045 7,161YOLO 10,182 10,186 8,138 1,361 1,239YUBA 4,262 4,636 3,639 682 632CITY OF BERKELEY 120 132 107 13 12CITY OF LONG BEACH 23,642 26,439 20,420 5,467 4,693CITY OF PASADENA 5,005 5,423 4,348 649 637UNKNOWN 24,001 25,510 20,134 5,569 4,845

TOTAL 2,038,833 2,256,037 1,805,529 375,157 343,829




39

(CONTINUED)

TABLE 39



HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY COUNTYDENTAL ASSESSMENTS


COUNTY




ALAMEDA 58,011 64,355 51,167 1,776 1,742ALPINE 324 341 280 27 25AMADOR 1,167 1,297 1,072 54 52BUTTE 13,586 15,586 11,785 497 492CALAVERAS 2,750 3,006 2,424 65 65COLUSA 2,702 3,234 2,477 158 153CONTRA COSTA 25,200 29,606 23,579 543 538DEL NORTE 1,530 1,701 1,398 70 70EL DORADO 5,145 5,351 4,178 227 225FRESNO 113,666 117,970 96,554 4,096 4,020GLENN 1,851 2,174 1,691 211 211HUMBOLDT 5,936 6,750 5,197 250 246IMPERIAL 14,611 16,243 12,686 896 880INYO 822 927 752 38 38KERN 76,359 79,086 65,158 4,895 4,760KINGS 8,421 9,145 7,175 1,284 1,262LAKE 1,912 2,033 1,731 193 191LASSEN 1,280 1,416 1,178 62 60LOS ANGELES 631,400 712,619 570,523 18,974 18,527MADERA 13,346 14,643 11,200 1,551 1,541MARIN 3,737 4,383 3,270 902 888MARIPOSA 195 197 165 16 16MENDOCINO 4,131 4,886 3,788 551 536MERCED 22,000 25,725 19,298 1,224 1,214MODOC 381 376 316 9 9MONO 663 854 634 221 220MONTEREY 13,452 11,345 10,120 1,033 1,020NAPA 5,267 6,430 4,787 809 805NEVADA 2,030 2,338 1,846 35 35ORANGE 144,241 148,431 123,128 4,335 4,300PLACER 6,527 7,868 5,761 418 418PLUMAS 793 838 697 44 43RIVERSIDE 77,204 82,921 70,769 2,150 2,138SACRAMENTO 90,095 96,696 79,536 2,909 2,838SAN BENITO 2,148 2,029 1,708 191 189SAN BERNARDINO 97,370 106,772 89,010 1,917 1,901SAN DIEGO 127,457 142,468 112,186 15,127 14,117SAN FRANCISCO 24,167 26,921 21,275 981 959SAN JOAQUIN 59,609 64,895 51,828 1,075 1,069SAN LUIS OBISPO 8,821 10,439 7,654 343 336SAN MATEO 20,666 22,789 17,441 745 737

40


TOTAL 2,038,833 2,238,532 1,795,731 86,007 83,622



5 = REFERRED TO ANOTHER EXAMINER FOR DX/RX



DENTAL ASSESSMENTS



HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY COUNTY

COUNTY



SANTA BARBARA 30,814 34,036 26,201 1,282 1,276SANTA CLARA 64,353 73,052 56,958 672 668SANTA CRUZ 4,092 3,793 3,261 389 379SHASTA 8,733 10,110 8,146 474 461SIERRA 111 125 106 14 14SISKIYOU 2,376 2,699 2,072 56 56SOLANO 14,985 16,594 12,998 335 330SONOMA 14,077 16,605 12,507 2,125 2,044STANISLAUS 40,526 42,013 33,830 2,303 2,277SUTTER 4,933 5,472 4,181 195 194TEHAMA 4,678 4,576 4,304 417 417TRINITY 516 576 480 17 17TULARE 50,415 55,619 44,295 1,309 1,299TUOLUMNE 1,182 1,336 1,113 50 48VENTURA 38,857 44,424 32,127 1,839 1,821YOLO 10,182 9,884 7,943 293 286YUBA 4,262 4,109 3,224 311 306CITY OF BERKELEY 120 125 105 2 2CITY OF LONG BEACH 23,642 25,659 20,180 233 230CITY OF PASADENA 5,005 5,410 4,342 357 357UNKNOWN 24,001 25,231 19,936 2,432 2,254


41


(CONTINUED)

TABLE 40






COUNTY



ALAMEDA 58,011 65,377 51,734 1,339 1,300ALPINE 324 344 282 8 8AMADOR 1,167 1,322 1,088 20 20BUTTE 13,586 15,671 11,853 190 189CALAVERAS 2,750 3,078 2,474 60 60COLUSA 2,702 3,250 2,488 57 55CONTRA COSTA 25,200 29,981 23,752 227 225DEL NORTE 1,530 1,808 1,474 26 25EL DORADO 5,145 5,519 4,271 59 59FRESNO 113,666 118,659 96,966 1,818 1,784GLENN 1,851 2,179 1,694 21 21HUMBOLDT 5,936 6,823 5,261 83 81IMPERIAL 14,611 16,344 12,756 1,047 992INYO 822 941 760 39 37KERN 76,359 80,366 66,036 1,133 1,119KINGS 8,421 9,169 7,188 77 77LAKE 1,912 2,093 1,783 17 17LASSEN 1,280 1,482 1,229 14 14LOS ANGELES 631,400 718,369 574,075 15,737 15,313MADERA 13,346 14,682 11,234 176 174MARIN 3,737 4,396 3,276 21 14MARIPOSA 195 207 175 2 2MENDOCINO 4,131 5,004 3,878 53 52MERCED 22,000 26,004 19,457 253 249MODOC 381 405 337 2 2MONO 663 861 641 29 29MONTEREY 13,452 11,547 10,276 241 233NAPA 5,267 6,559 4,840 873 831NEVADA 2,030 2,351 1,853 18 17ORANGE 144,241 149,370 123,716 2,998 2,952PLACER 6,527 7,912 5,791 107 105PLUMAS 793 867 719 3 3RIVERSIDE 77,204 83,060 70,877 1,331 1,300SACRAMENTO 90,095 98,670 80,907 1,007 979SAN BENITO 2,148 2,148 1,779 63 62SAN BERNARDINO 97,370 107,232 89,297 950 940SAN DIEGO 127,457 144,314 113,480 3,598 3,273SAN FRANCISCO 24,167 27,923 21,892 858 824SAN JOAQUIN 59,609 65,118 51,987 307 297SAN LUIS OBISPO 8,821 10,468 7,678 175 171SAN MATEO 20,666 23,041 17,588 474 470

42


TOTAL 2,038,833 2,263,128 1,811,474 42,074 40,741










COUNTY



SANTA BARBARA 30,814 34,139 26,268 771 756SANTA CLARA 64,353 73,527 57,242 787 773SANTA CRUZ 4,092 3,887 3,326 71 68SHASTA 8,733 10,422 8,344 109 108SIERRA 111 127 108 5 5SISKIYOU 2,376 2,731 2,096 10 10SOLANO 14,985 16,916 13,206 320 316SONOMA 14,077 16,962 12,751 288 280STANISLAUS 40,526 42,344 34,013 595 589SUTTER 4,933 5,639 4,307 33 33TEHAMA 4,678 4,632 4,347 35 35TRINITY 516 592 495 4 4TULARE 50,415 58,229 45,897 541 537TUOLUMNE 1,182 1,351 1,124 26 26VENTURA 38,857 44,801 32,312 1,272 1,234YOLO 10,182 10,274 8,190 95 90YUBA 4,262 4,710 3,695 50 48CITY OF BERKELEY 120 137 110 2 2CITY OF LONG BEACH 23,642 25,667 20,183 193 188CITY OF PASADENA 5,005 5,430 4,359 268 264UNKNOWN 24,001 25,697 20,259 1,088 1,000


43


(CONTINUED)

TABLE 41





44



COUNTY



ALAMEDA 58,011 65,402 51,757 64 62ALPINE 324 343 281 2 2AMADOR 1,167 1,324 1,090 10 9BUTTE 13,586 15,676 11,857 26 26CALAVERAS 2,750 3,069 2,470 1 1COLUSA 2,702 3,253 2,493 4 4CONTRA COSTA 25,200 29,973 23,747 11 11DEL NORTE 1,530 1,798 1,468 5 5EL DORADO 5,145 5,525 4,275 7 7FRESNO 113,666 118,769 97,074 261 260GLENN 1,851 2,180 1,695 2 2HUMBOLDT 5,936 6,821 5,256 9 8IMPERIAL 14,611 16,341 12,755 517 509INYO 822 942 761 1 1KERN 76,359 80,379 66,050 14 14KINGS 8,421 9,169 7,186 7 7LAKE 1,912 2,090 1,781 2 2LASSEN 1,280 1,463 1,216 3 2LOS ANGELES 631,400 718,897 574,529 315 294MADERA 13,346 14,691 11,240 2 2MARIN 3,737 4,394 3,274 2 2MARIPOSA 195 206 174 0 0MENDOCINO 4,131 4,998 3,877 2 2MERCED 22,000 26,004 19,461 113 111MODOC 381 405 337 0 0MONO 663 860 641 2 2MONTEREY 13,452 11,556 10,288 26 25NAPA 5,267 6,562 4,844 33 31NEVADA 2,030 2,352 1,853 0 0ORANGE 144,241 149,419 123,739 347 337PLACER 6,527 7,914 5,792 13 13PLUMAS 793 869 722 0 0RIVERSIDE 77,204 83,060 70,886 2,567 2,106SACRAMENTO 90,095 98,753 80,981 456 449SAN BENITO 2,148 2,150 1,780 14 13SAN BERNARDINO 97,370 107,245 89,308 96 82SAN DIEGO 127,457 144,331 113,501 249 224SAN FRANCISCO 24,167 27,944 21,912 50 49SAN JOAQUIN 59,609 65,135 52,000 34 34SAN LUIS OBISPO 8,821 10,484 7,688 19 19SAN MATEO 20,666 23,056 17,601 127 127


TOTAL 2,038,833 2,264,249 1,812,479 6,124 5,551









COUNTY



SANTA BARBARA 30,814 34,142 26,273 24 24SANTA CLARA 64,353 73,563 57,273 174 169SANTA CRUZ 4,092 3,890 3,329 1 1SHASTA 8,733 10,399 8,327 12 11SIERRA 111 127 108 1 1SISKIYOU 2,376 2,733 2,098 0 0SOLANO 14,985 16,922 13,215 24 23SONOMA 14,077 16,993 12,769 38 38STANISLAUS 40,526 42,337 34,005 282 277SUTTER 4,933 5,641 4,308 2 2TEHAMA 4,678 4,634 4,350 1 1TRINITY 516 593 495 2 2TULARE 50,415 58,341 45,993 27 27TUOLUMNE 1,182 1,352 1,125 3 3VENTURA 38,857 44,800 32,313 54 54YOLO 10,182 10,279 8,192 4 4YUBA 4,262 4,724 3,709 3 3CITY OF BERKELEY 120 138 111 0 0CITY OF LONG BEACH 23,642 25,686 20,198 12 12CITY OF PASADENA 5,005 5,424 4,355 2 2UNKNOWN 24,001 25,729 20,293 45 43


45


SAN MATEO 20,666 22,952 17,514 227 219

TABLE 42


DEVELOPMENTAL ASSESSMENTS



46



COUNTY


RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP DEVELOPMENTAL DEVELOPMENTAL INDICATING RISK WITH RISK

ALAMEDA 58,011 65,296 51,680 614 583ALPINE 324 342 280 3 3AMADOR 1,167 1,316 1,084 10 10BUTTE 13,586 15,623 11,826 144 141CALAVERAS 2,750 3,064 2,462 11 11COLUSA 2,702 3,241 2,483 30 29CONTRA COSTA 25,200 29,944 23,725 136 134DEL NORTE 1,530 1,792 1,462 24 23EL DORADO 5,145 5,486 4,250 28 27FRESNO 113,666 118,417 96,865 692 684GLENN 1,851 2,171 1,689 22 22HUMBOLDT 5,936 6,774 5,227 90 90IMPERIAL 14,611 16,312 12,733 70 69INYO 822 936 756 14 14KERN 76,359 80,202 65,928 411 405KINGS 8,421 9,145 7,174 86 83LAKE 1,912 2,083 1,776 22 22LASSEN 1,280 1,475 1,224 7 6LOS ANGELES 631,400 717,718 573,761 2,861 2,700MADERA 13,346 14,661 11,222 47 44MARIN 3,737 4,379 3,270 16 12MARIPOSA 195 208 176 2 2MENDOCINO 4,131 4,990 3,874 54 52MERCED 22,000 25,940 19,419 125 125MODOC 381 406 340 0 0MONO 663 860 641 20 20MONTEREY 13,452 11,521 10,258 104 103NAPA 5,267 6,550 4,838 45 44NEVADA 2,030 2,343 1,850 14 14ORANGE 144,241 148,984 123,528 1,174 1,144PLACER 6,527 7,902 5,785 62 59PLUMAS 793 868 720 8 8RIVERSIDE 77,204 82,978 70,826 307 304SACRAMENTO 90,095 98,451 80,785 855 816SAN BENITO 2,148 2,147 1,776 19 18SAN BERNARDINO 97,370 107,145 89,237 333 327SAN DIEGO 127,457 143,894 113,214 1,702 1,542SAN FRANCISCO 24,167 27,264 21,299 322 302SAN JOAQUIN 59,609 64,996 51,917 187 183SAN LUIS OBISPO 8,821 10,414 7,642 70 70

(CONTINUED)

CHDP DEVELOPMENTAL DEVELOPMENTAL INDICATING RISK WITH RISKSERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

UNKNOWN 24,001 25,601 20,200 308 281TOTAL 2,038,833 2,258,546 1,808,697 13,652 13,057


4 = DX PENDING/RETURN VISIT SCHEDULED5 = REFERRED TO ANOTHER EXAMINER FOR DX/RX

CHILDREN'S MEDICAL SERVICES



CALIFORNIA DEPARTMENT OF HEALTH SERVICES


DEVELOPMENTAL ASSESSMENTS

COUNTY


RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDREN

SANTA BARBARA 30,814 34,111 26,255 199 196SANTA CLARA 64,353 73,444 57,203 229 228SANTA CRUZ 4,092 3,882 3,321 29 28SHASTA 8,733 10,401 8,331 144 139SIERRA 111 127 108 2 2SISKIYOU 2,376 2,729 2,095 26 25SOLANO 14,985 16,857 13,163 114 108SONOMA 14,077 16,903 12,729 236 223STANISLAUS 40,526 42,253 33,955 323 316SUTTER 4,933 5,625 4,298 34 32TEHAMA 4,678 4,606 4,328 41 41TRINITY 516 593 496 7 7TULARE 50,415 57,943 45,766 259 251TUOLUMNE 1,182 1,346 1,121 23 23VENTURA 38,857 44,759 32,286 477 468YOLO 10,182 10,262 8,184 91 86YUBA 4,262 4,713 3,700 54 53CITY OF BERKELEY 120 137 111 1 1CITY OF LONG BEACH 23,642 25,649 20,181 60 58CITY OF PASADENA 5,005 5,415 4,350 27 27


3 = DX MADE AND RX STARTED

47

CHDP VISION VISION INDICATING RISK WITH RISKSERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

SAN MATEO 20,666 5,312 5,186 525 519



48



TABLE 43



VISION ASSESSMENTS

COUNTY



ALAMEDA 58,011 20,051 19,291 1,370 1,339ALPINE 324 131 122 8 8AMADOR 1,167 381 370 31 31BUTTE 13,586 3,840 3,783 298 297CALAVERAS 2,750 1,262 1,187 49 49COLUSA 2,702 707 693 58 57CONTRA COSTA 25,200 7,246 7,084 281 276DEL NORTE 1,530 551 535 24 24EL DORADO 5,145 1,541 1,499 60 60FRESNO 113,666 43,839 42,829 3,336 3,312GLENN 1,851 484 478 38 38HUMBOLDT 5,936 1,794 1,715 99 98IMPERIAL 14,611 3,910 3,839 361 358INYO 822 311 305 28 28KERN 76,359 25,699 25,038 1,961 1,944KINGS 8,421 2,494 2,461 402 401LAKE 1,912 569 556 44 43LASSEN 1,280 617 601 41 41LOS ANGELES 631,400 262,766 249,165 19,711 19,263MADERA 13,346 4,795 4,729 862 848MARIN 3,737 977 947 49 48MARIPOSA 195 70 68 3 3MENDOCINO 4,131 962 932 109 108MERCED 22,000 7,404 7,253 432 429MODOC 381 221 193 4 4MONO 663 153 153 29 29MONTEREY 13,452 3,930 3,852 319 318NAPA 5,267 1,550 1,510 132 131NEVADA 2,030 468 447 23 22ORANGE 144,241 51,842 50,665 4,225 4,179PLACER 6,527 1,713 1,647 184 184PLUMAS 793 312 305 15 15RIVERSIDE 77,204 27,170 26,540 1,692 1,678SACRAMENTO 90,095 31,486 30,387 1,737 1,711SAN BENITO 2,148 621 611 42 41SAN BERNARDINO 97,370 36,512 35,209 2,813 2,754SAN DIEGO 127,457 47,555 43,619 4,238 3,902SAN FRANCISCO 24,167 10,671 10,189 1,035 1,031SAN JOAQUIN 59,609 18,040 17,492 2,146 2,122SAN LUIS OBISPO 8,821 2,433 2,247 158 158

(CONTINUED)

CHDP VISION VISION INDICATING RISK WITH RISKSERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

UNKNOWN 24,001 8,862 8,341 710 684TOTAL 2,038,833 738,711 707,854 55,976 54,817





CHILDREN'S MEDICAL SERVICESCALIFORNIA DEPARTMENT OF HEALTH SERVICES


VISION ASSESSMENTS

COUNTY



SANTA BARBARA 30,814 8,263 8,074 395 394SANTA CLARA 64,353 15,212 14,640 815 809SANTA CRUZ 4,092 1,283 1,207 124 119SHASTA 8,733 3,050 2,934 165 163SIERRA 111 47 47 4 4SISKIYOU 2,376 1,699 1,410 47 47SOLANO 14,985 4,914 4,510 263 256SONOMA 14,077 4,281 4,125 410 397STANISLAUS 40,526 12,045 11,784 985 974SUTTER 4,933 1,128 1,110 73 73TEHAMA 4,678 1,369 1,344 68 68TRINITY 516 178 176 10 10TULARE 50,415 19,098 18,193 879 877TUOLUMNE 1,182 527 505 28 27VENTURA 38,857 10,723 10,481 950 946YOLO 10,182 2,542 2,440 183 177YUBA 4,262 1,084 1,071 109 109CITY OF BERKELEY 120 44 42 1 1CITY OF LONG BEACH 23,642 7,952 7,699 577 574CITY OF PASADENA 5,005 2,020 1,989 208 207



49

CHDP HEARING HEARING INDICATING RISK WITH RISKSERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

SAN MATEO 20,666 5,193 5,082 112 112





50

TABLE 44



HEARING ASSESSMENTS

COUNTY



ALAMEDA 58,011 18,413 17,880 414 408ALPINE 324 114 106 4 4AMADOR 1,167 378 367 2 2BUTTE 13,586 3,840 3,774 127 126CALAVERAS 2,750 1,183 1,110 16 16COLUSA 2,702 720 706 9 8CONTRA COSTA 25,200 6,861 6,728 124 121DEL NORTE 1,530 494 486 5 5EL DORADO 5,145 1,251 1,230 17 17FRESNO 113,666 43,777 42,780 591 585GLENN 1,851 468 461 11 11HUMBOLDT 5,936 1,215 1,150 25 25IMPERIAL 14,611 3,982 3,905 79 79INYO 822 259 255 6 6KERN 76,359 25,729 25,051 386 386KINGS 8,421 2,466 2,433 78 78LAKE 1,912 525 518 16 16LASSEN 1,280 561 546 6 6LOS ANGELES 631,400 256,746 244,071 2,925 2,852MADERA 13,346 4,786 4,717 243 236MARIN 3,737 910 883 16 12MARIPOSA 195 76 73 0 0MENDOCINO 4,131 739 728 23 23MERCED 22,000 7,406 7,256 180 177MODOC 381 227 199 0 0MONO 663 148 148 5 5MONTEREY 13,452 3,751 3,672 116 116NAPA 5,267 1,429 1,398 9 9NEVADA 2,030 438 423 6 6ORANGE 144,241 51,221 50,111 537 520PLACER 6,527 1,678 1,609 28 28PLUMAS 793 277 270 6 5RIVERSIDE 77,204 27,250 26,541 246 244SACRAMENTO 90,095 30,030 28,963 295 289SAN BENITO 2,148 619 609 18 18SAN BERNARDINO 97,370 36,692 35,392 321 317SAN DIEGO 127,457 46,530 42,665 871 803SAN FRANCISCO 24,167 9,743 9,358 215 211SAN JOAQUIN 59,609 17,674 17,132 148 146SAN LUIS OBISPO 8,821 2,304 2,124 23 23

(CONTINUED)

CHDP HEARING HEARING INDICATING RISK WITH RISKSERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

UNKNOWN 24,001 8,477 7,992 188 187TOTAL 2,038,833 726,721 697,348 10,253 10,007








HEARING ASSESSMENTS

COUNTY



SANTA BARBARA 30,814 8,320 8,105 123 116SANTA CLARA 64,353 18,960 18,428 162 160SANTA CRUZ 4,092 1,302 1,219 19 18SHASTA 8,733 2,962 2,853 75 75SIERRA 111 46 46 2 2SISKIYOU 2,376 1,670 1,389 13 13SOLANO 14,985 4,610 4,252 100 94SONOMA 14,077 3,925 3,790 171 166STANISLAUS 40,526 12,273 12,005 512 504SUTTER 4,933 1,113 1,096 26 26TEHAMA 4,678 1,258 1,237 27 27TRINITY 516 140 138 1 1TULARE 50,415 19,562 18,502 181 180TUOLUMNE 1,182 479 458 8 8VENTURA 38,857 10,665 10,428 196 194YOLO 10,182 2,091 2,001 36 34YUBA 4,262 1,114 1,099 38 38CITY OF BERKELEY 120 38 38 0 0CITY OF LONG BEACH 23,642 7,729 7,506 49 48CITY OF PASADENA 5,005 1,884 1,856 67 65



51

CHDP BLOOD BLOOD INDICATING RISK WITH RISKSERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

SAN LUIS OBISPO 8,821 3,430 3,095 280 261

(CONTINUED)





52

TABLE 45



BLOOD TESTS*

COUNTY



ALAMEDA 58,011 21,179 20,136 1,557 1,485ALPINE 324 180 164 13 13AMADOR 1,167 536 504 45 44BUTTE 13,586 8,281 7,384 1,282 1,137CALAVERAS 2,750 1,615 1,516 99 98COLUSA 2,702 1,496 1,407 181 176CONTRA COSTA 25,200 8,797 8,415 1,191 1,163DEL NORTE 1,530 941 874 30 30EL DORADO 5,145 2,138 2,031 66 66FRESNO 113,666 70,863 64,044 5,098 4,902GLENN 1,851 1,234 1,144 203 189HUMBOLDT 5,936 3,018 2,886 126 124IMPERIAL 14,611 8,830 8,255 592 577INYO 822 468 433 49 48KERN 76,359 41,981 39,281 2,805 2,726KINGS 8,421 5,515 4,948 616 594LAKE 1,912 1,055 991 28 27LASSEN 1,280 683 658 9 9LOS ANGELES 631,400 371,109 337,653 31,353 29,488MADERA 13,346 8,654 7,935 1,219 1,132MARIN 3,737 1,455 1,385 10 10MARIPOSA 195 111 103 3 3MENDOCINO 4,131 1,744 1,671 103 102MERCED 22,000 14,971 13,427 896 856MODOC 381 220 211 3 3MONO 663 419 396 54 53MONTEREY 13,452 6,298 5,951 512 494NAPA 5,267 2,042 1,943 130 127NEVADA 2,030 773 730 14 14ORANGE 144,241 73,857 70,126 4,722 4,514PLACER 6,527 3,065 2,679 301 280PLUMAS 793 338 323 14 14RIVERSIDE 77,204 39,210 37,274 3,720 3,587SACRAMENTO 90,095 44,965 41,268 1,913 1,831SAN BENITO 2,148 1,226 1,153 71 71SAN BERNARDINO 97,370 53,181 49,390 5,139 4,881SAN DIEGO 127,457 77,875 68,533 5,257 4,761SAN FRANCISCO 24,167 6,206 5,991 157 152SAN JOAQUIN 59,609 22,711 19,952 2,038 1,886

SAN MATEO 20,666 7,310 6,874 269 262

RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP BLOOD BLOOD INDICATING RISK WITH RISK

CITY OF LONG BEACHCITY OF PASADENA 5,005 3,133 2,934 176 170UNKNOWN 24,001 12,378 11,193 852 800

2,038,833 1,102,048 1,009,675 84,924 80,280


* BLOOD TEST IS DEFINED AS HEMOGLOBIN OR HEMATOCRIT TEST.




BLOOD TESTS*

COUNTY

CHILDREN'S MEDICAL SERVICESCHILD HEALTH AND DISABILITY PREVENTION (CHDP) PROGRAM





SANTA BARBARA 30,814 17,099 15,783 1,233 1,116SANTA CLARA 64,353 25,970 24,372 1,037 996SANTA CRUZ 4,092 1,735 1,619 63 63SHASTA 8,733 4,906 4,623 148 147SIERRA 111 58 56 3 3SISKIYOU 2,376 1,389 1,304 123 118SOLANO 14,985 5,015 4,650 287 279SONOMA 14,077 5,449 4,964 599 556STANISLAUS 40,526 24,006 22,145 2,338 2,244SUTTER 4,933 2,510 2,320 309 293TEHAMA 4,678 2,354 2,278 288 280TRINITY 516 299 283 26 25TULARE 50,415 33,545 30,229 2,390 2,273TUOLUMNE 1,182 579 556 44 44VENTURA 38,857 24,709 21,738 1,813 1,717YOLO 10,182 4,356 3,906 219 206YUBA 4,262 2,144 2,028 215 209CITY OF BERKELEY 120 57 57 2 2

23,642 10,377 9,503 591 549

53


SAN LUIS OBISPO 8,821 1,736 1,713 24 24

(CONTINUED)


URINE ASSESSMENTS

COUNTY


54

TABLE 46






ALAMEDA 58,011 12,256 11,967 188 185ALPINE 324 106 100 0 0AMADOR 1,167 304 297 7 6BUTTE 13,586 3,190 3,145 132 130CALAVERAS 2,750 854 835 27 27COLUSA 2,702 435 428 17 17CONTRA COSTA 25,200 3,071 2,988 76 74DEL NORTE 1,530 359 355 13 13EL DORADO 5,145 1,031 1,019 15 15FRESNO 113,666 36,481 35,748 685 680GLENN 1,851 406 398 18 18HUMBOLDT 5,936 1,236 1,229 15 15IMPERIAL 14,611 4,129 4,012 118 117INYO 822 280 275 4 4KERN 76,359 22,519 21,969 992 986KINGS 8,421 2,190 2,160 76 76LAKE 1,912 492 471 11 11LASSEN 1,280 456 448 5 5LOS ANGELES 631,400 209,038 201,604 4,878 4,778MADERA 13,346 4,038 3,975 165 163MARIN 3,737 609 600 3 3MARIPOSA 195 57 56 0 0MENDOCINO 4,131 711 704 31 31MERCED 22,000 6,416 6,294 103 103MODOC 381 124 122 1 1MONO 663 156 156 7 7MONTEREY 13,452 3,536 3,456 133 130NAPA 5,267 903 895 44 44NEVADA 2,030 405 389 5 5ORANGE 144,241 42,685 41,812 732 723PLACER 6,527 1,409 1,365 31 31PLUMAS 793 186 184 2 2RIVERSIDE 77,204 20,792 20,413 688 683SACRAMENTO 90,095 27,624 26,660 511 499SAN BENITO 2,148 554 547 16 16SAN BERNARDINO 97,370 27,208 26,469 849 835SAN DIEGO 127,457 36,846 33,875 1,338 1,197SAN FRANCISCO 24,167 3,610 3,542 18 18SAN JOAQUIN 59,609 10,354 10,096 290 281

SAN MATEO 20,666 2,284 2,233 82 81


CITY OF PASADENA 5,005 1,328 1,304 82 77UNKNOWN 24,001 6,511 6,171 147 142TOTAL 2,038,833 573,652 555,604 14,209 13,877





URINE ASSESSMENTS


55

COUNTY






SANTA BARBARA 30,814 5,786 5,735 87 87SANTA CLARA 64,353 13,823 13,450 197 197SANTA CRUZ 4,092 1,166 1,093 14 13SHASTA 8,733 2,040 2,014 49 49SIERRA 111 38 38 4 4SISKIYOU 2,376 528 525 13 13SOLANO 14,985 2,439 2,385 53 53SONOMA 14,077 2,903 2,843 106 106STANISLAUS 40,526 10,374 10,165 304 300SUTTER 4,933 919 910 26 26TEHAMA 4,678 885 873 33 33TRINITY 516 143 143 0 0TULARE 50,415 15,023 14,753 313 313TUOLUMNE 1,182 311 302 15 15VENTURA 38,857 9,258 9,067 248 247YOLO 10,182 1,955 1,886 27 27YUBA 4,262 885 871 59 59CITY OF BERKELEY 120 38 38 1 1CITY OF LONG BEACH 23,642 6,223 6,034 81 81


SAN LUIS OBISPO 8,821 82 81 2 2


URINALYSIS ASSESSMENTS

(CONTINUED)


56

COUNTY

TABLE 47






ALAMEDA 58,011 2,715 2,665 46 46ALPINE 324 10 10 1 1AMADOR 1,167 32 31 2 2BUTTE 13,586 187 183 13 13CALAVERAS 2,750 57 56 4 4COLUSA 2,702 216 209 4 4CONTRA COSTA 25,200 1,619 1,602 224 224DEL NORTE 1,530 84 84 6 6EL DORADO 5,145 77 74 3 3FRESNO 113,666 2,029 2,018 84 84GLENN 1,851 30 30 5 5HUMBOLDT 5,936 218 218 5 5IMPERIAL 14,611 93 92 10 9INYO 822 15 15 2 2KERN 76,359 1,505 1,453 149 149KINGS 8,421 124 120 2 2LAKE 1,912 25 25 5 5LASSEN 1,280 89 86 2 2LOS ANGELES 631,400 25,428 21,216 1,517 1,454MADERA 13,346 93 89 7 7MARIN 3,737 229 213 0 0MARIPOSA 195 4 4 0 0MENDOCINO 4,131 81 79 9 9MERCED 22,000 230 230 10 10MODOC 381 17 17 0 0MONO 663 6 6 1 1MONTEREY 13,452 277 270 17 17NAPA 5,267 76 71 5 5NEVADA 2,030 26 26 1 1ORANGE 144,241 3,617 3,549 94 93PLACER 6,527 38 38 2 2PLUMAS 793 23 23 0 0RIVERSIDE 77,204 1,965 1,943 49 49SACRAMENTO 90,095 882 870 88 85SAN BENITO 2,148 73 72 1 1SAN BERNARDINO 97,370 2,453 2,355 278 271SAN DIEGO 127,457 4,793 4,411 536 483SAN FRANCISCO 24,167 870 847 28 27SAN JOAQUIN 59,609 1,020 1,007 11 11

SAN MATEO 20,666 222 218 61 59


CITY OF PASADENA 5,005 568 564 7 7UNKNOWN 24,001 883 858 73 69TOTAL 2,038,833 61,102 55,848 4,131 3,993





URINALYSIS ASSESSMENTS


57

COUNTY






SANTA BARBARA 30,814 1,610 1,536 16 16SANTA CLARA 64,353 1,778 1,748 429 428SANTA CRUZ 4,092 130 127 5 5SHASTA 8,733 337 332 9 9SIERRA 111 1 1 0 0SISKIYOU 2,376 22 22 2 2SOLANO 14,985 212 211 25 25SONOMA 14,077 328 315 25 25STANISLAUS 40,526 447 440 113 111SUTTER 4,933 109 107 14 14TEHAMA 4,678 147 147 14 14TRINITY 516 11 11 0 0TULARE 50,415 1,921 1,864 49 49TUOLUMNE 1,182 25 25 1 1VENTURA 38,857 457 453 34 34YOLO 10,182 126 126 3 3YUBA 4,262 94 93 12 12CITY OF BERKELEY 120 4 4 0 0CITY OF LONG BEACH 23,642 262 258 16 16

RECEIVING TOTAL RECEIVING TESTS CHILDRENCHDP TUBERCULIN TUBERCULIN INDICATING RISK WITH RISK

SAN JOAQUIN 59,609 11,496 11,177 429 406


TUBERCULOSIS TESTS*

SAN LUIS OBISPO 8,821 1,722 1,673 16 16SAN MATEO 20,666 4,677 4,536 874 847

(CONTINUED)

58

COUNTY

TABLE 48




TOTAL TOTAL **TOTALCHILDREN CHILDREN TUBERCULIN TOTAL

SERVICES TESTS TESTS REDUCED REDUCED

ALAMEDA 58,011 17,964 17,294 212 205ALPINE 324 78 75 3 3AMADOR 1,167 226 218 7 7BUTTE 13,586 1,507 1,464 695 673CALAVERAS 2,750 619 597 63 61COLUSA 2,702 420 409 16 16CONTRA COSTA 25,200 4,836 4,717 642 624DEL NORTE 1,530 123 123 9 9EL DORADO 5,145 745 731 12 12FRESNO 113,666 32,173 31,203 101 100GLENN 1,851 259 254 141 140HUMBOLDT 5,936 256 254 12 12IMPERIAL 14,611 5,484 5,375 127 126INYO 822 98 98 11 11KERN 76,359 16,330 15,877 8,350 8,121KINGS 8,421 1,647 1,621 10 10LAKE 1,912 260 257 8 8LASSEN 1,280 253 246 9 8LOS ANGELES 631,400 201,374 193,174 3,639 3,555MADERA 13,346 4,436 4,301 9 9MARIN 3,737 1,102 1,077 4 4MARIPOSA 195 31 30 2 2MENDOCINO 4,131 299 292 59 59MERCED 22,000 3,468 3,331 57 53MODOC 381 36 35 0 0MONO 663 65 64 10 10MONTEREY 13,452 4,281 4,145 201 197NAPA 5,267 1,107 1,074 191 187NEVADA 2,030 187 181 3 3ORANGE 144,241 36,411 35,722 441 435PLACER 6,527 626 603 10 9PLUMAS 793 151 148 1 1RIVERSIDE 77,204 17,710 17,239 433 433SACRAMENTO 90,095 25,870 24,952 201 197SAN BENITO 2,148 392 384 9 9SAN BERNARDINO 97,370 20,010 19,264 371 360SAN DIEGO 127,457 37,707 34,619 1,715 1,602SAN FRANCISCO 24,167 8,415 8,219 297 292

CHILDREN CHILDREN TUBERCULIN TOTALRECEIVING TOTAL RECEIVING ASSESSMENTS CHILDREN

CITY OF LONG BEACH 23,642 7,234 6,951 166 166CITY OF PASADENA 5,005 1,492 1,468 22 22UNKNOWN 24,001 6,025 5,635 214 205TOTAL 2,038,833 537,668 517,339 21,416 20,778

* TB TEST CONSISTS OF MANTOUX TEST.



HEALTH SPECIFIC ASSESSMENTS AND COUNTS FOR RISK REDUCED BY COUNTYTUBERCULOSIS TESTS*

3 = DX MADE AND RX STARTED4 = DX PENDING/RETURN VISIT SCHEDULED5 = REFERRED TO ANOTHER EXAMINER FOR 5 DX/RX

59

COUNTY

TABLE48 (CONTINUED)



TOTAL TOTAL **TOTAL

CHDP TUBERCULIN TUBERCULIN INDICATING RISK WITH RISKSERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

SANTA BARBARA 30,814 5,094 4,970 61 61SANTA CLARA 64,353 17,348 16,681 206 204SANTA CRUZ 4,092 833 788 2 2SHASTA 8,733 425 417 14 14SIERRA 111 14 14 0 0SISKIYOU 2,376 253 250 1 1SOLANO 14,985 2,418 2,331 38 38SONOMA 14,077 1,728 1,671 213 211STANISLAUS 40,526 6,881 6,667 399 355SUTTER 4,933 885 866 60 59TEHAMA 4,678 406 404 36 34TRINITY 516 34 34 0 0TULARE 50,415 12,027 11,701 350 348TUOLUMNE 1,182 135 133 14 14VENTURA 38,857 7,337 7,138 188 180YOLO 10,182 1,191 1,141 11 11YUBA 4,262 1,039 1,008 20 20CITY OF BERKELEY 120 18 18 1 1

SOURCE: FY 2005-06 SUMMARY CHDP DATA FROM CONFIDENTIAL SCREENING AND BILLING FOR 5MS (PM160).

All Fund MedicalTOTAL TOTALCHILDREN AMOUNT CHILDRENRECEIVING PAID FOR RECEIVINGCHDP CHDP CHDP

PROVIDER TYPE SERVICES SERVICES SERVICES

COUNTY HOSPITAL - OUTPATIENT CLINIC 20,151 $1,758,204.00 14,176COMMUNITY HOSPITAL - OUTPATIENT CLINIC 29,725 $2,888,114.00 19,896ORGANIZED OUTPATIENT CLINIC 3,039 $257,959.00 1,309OEO CLINIC(FUNDING FROM OFC. OF ECONOMIC OPP.) 1,537 $113,908.00 797PRIVATE HOSPITAL 2,275 $163,140.00 1,539SCHOOL 14,481 $833,423.00 1,724PHYSICIANS GROUP PRACTICE 317,349 $25,607,285.00 150,010PHYSICIANS SOLO PRACTICE 287,290 $23,177,202.00 163,448FAMILY NURSE PRACTITIONER 771 $62,863.00 189COUNTY HEALTH DEPARTMENT CLINIC 20,753 $1,383,392.00 6,214RURAL HEALTH CLINIC 36,460 $2,596,018.00 13,029INDIAN HEALTH CLINIC 102 $6,393.00 41COMMUNITY CLINICS 32,504 $2,359,739.00 12,762CLINIC LABS/LEAD 26,760 $2,048,020.00 11,641CLINICAL LABS/OTHER 757 $50,782.00 131CALOPTIMA 24,007 $1,930,492.00 1,382OTHER 31 $1,801.00 4INFORMATION ONLY PROVIDERS 1,220,841 $0.00 0

2,038,833 $65,238,735.00 398,292

Gateway State Info onlyTOTAL TOTAL TOTAL

AMOUNT CHILDREN AMOUNT CHILDREN AMOUNT CHILDREN AMOUNTPAID FOR RECEIVING PAID FOR RECEIVING PAID FOR RECEIVING PAID FORCHDP CHDP CHDP CHDP CHDP CHDP CHDPSERVICES SERVICES SERVICES SERVICES SERVICES SERVICES SERVICES

$1,288,779.00 5,625 $444,803.00 350 $24,622.00 0 $0.00$1,945,605.00 9,526 $916,264.00 303 $26,245.00 0 $0.00

$103,086.00 1,676 $150,549.00 54 $4,324.00 0 $0.00$58,585.00 700 $52,531.00 40 $2,792.00 0 $0.00

$108,309.00 731 $54,502.00 5 $329.00 0 $0.00$90,389.00 11,598 $682,777.00 1,159 $60,257.00 0 $0.00

$11,398,554.00 158,356 $13,533,827.00 8,983 $674,904.00 0 $0.00$12,623,844.00 119,179 $10,190,276.00 4,663 $363,082.00 0 $0.00

$15,511.00 530 $43,467.00 52 $3,885.00 0 $0.00$332,125.00 13,006 $957,853.00 1,533 $93,414.00 0 $0.00$961,142.00 13,670 $977,694.00 9,761 $657,182.00 0 $0.00

$2,480.00 60 $3,851.00 1 $62.00 0 $0.00$911,302.00 17,299 $1,277,282.00 2,443 $171,155.00 0 $0.00$873,452.00 14,235 $1,095,401.00 884 $79,167.00 0 $0.00$10,745.00 547 $34,380.00 79 $5,657.00 0 $0.00$94,167.00 20,938 $1,715,849.00 1,686 $120,476.00 1 $0.00

$169.00 26 $1,537.00 1 $95.00 0 $0.000 0 0 0 0 1,220,841 $0.00

$30,818,244.00 387,702 $32,132,843.00 31,997 $2,287,648.00 1,220,842 $0.00

TABLE 50



IMMUNIZATIONS BY AGE

ALL FUNDING SOURCES


AGE

TYPE OF IMMUNIZATION

POLIO DPT MMR MEAS RUBE HEP/HIB HIB HEPB DTAP VAR FLU PNE55 PNE67 HEPA PEDI

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

0 227,978 533 6,491 101 259 106,639 335,045 101,528 248,561 4,578 35,086 8,113 433,198 2,890 209,2091 57,728 504 148,225 95 406 35,479 149,425 20,370 152,275 131,459 74,659 3,732 174,709 38,160 29,0982 7,913 138 10,329 14 22 3,219 21,010 4,107 30,915 10,898 28,258 779 29,834 144,888 2,8363 5,525 90 6,631 10 16 1,234 7,850 3,344 10,745 5,393 14,788 455 13,234 70,687 1,6394 97,153 157 100,311 72 47 811 6,577 3,730 99,028 5,318 12,436 488 11,061 34,876 1,7145 22,356 84 24,158 19 14 295 1,679 3,916 23,529 3,987 8,714 166 2,443 19,296 1,0816 4,309 144 4,833 5 4 71 367 3,859 5,001 2,459 7,739 82 727 11,922 5347 2,945 937 3,085 4 4 59 198 4,746 1,324 1,988 5,882 39 291 8,622 1358 2,546 1,028 2,930 2 0 51 148 4,639 760 1,779 5,161 41 215 8,541 669 2,392 1,501 3,025 0 3 65 144 4,779 617 1,782 4,698 36 157 9,521 5210 2,502 2,521 3,147 3 1 49 134 4,799 600 2,090 4,338 32 178 11,171 6611 2,512 10,117 3,426 4 4 71 197 5,144 1,050 2,717 4,377 97 258 14,446 12012 2,620 8,661 3,552 1 3 73 168 5,379 922 2,940 3,920 77 257 15,340 9413 2,679 6,361 3,380 7 1 54 151 5,736 685 3,135 3,507 75 204 13,015 8014 2,759 6,160 3,281 5 9 83 132 6,256 681 2,876 3,146 64 181 11,411 7415 3,083 5,276 3,455 5 5 56 155 6,442 591 2,691 2,714 55 164 9,769 7516 2,844 3,673 3,160 4 7 51 144 5,389 464 2,284 2,184 55 115 8,058 7617 2,422 2,608 2,666 1 2 32 92 4,327 353 1,887 1,647 38 99 6,847 4018 1,224 1,190 1,644 1 1 15 34 2,481 114 1,071 728 17 35 3,169 1919 26 177 56 0 0 2 5 170 12 53 181 9 8 280 520 347 186 372 0 3 101 396 328 491 210 307 19 500 542 164

Unknown 402 28 219 0 1 148 632 126 539 138 190 29 801 381 390

TOTAL 454,265 52,074 338,376 353 812 148,658 524,683 201,595 579,257 191,733 224,660 14,498 668,669 443,832 247,567


61

TABLE 51




MEDI-CAL FEE FOR SERVICE FUNDING SOURCES


AGE



CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

0 81,218 168 1,137 13 46 40,749 108,671 38,643 86,636 579 7,200 1,258 146,538 379 66,4961 10,999 42 24,575 11 21 6,372 25,234 3,704 25,814 22,880 12,975 174 31,400 5,521 5,0762 1,769 15 2,194 2 1 685 3,744 763 5,687 2,030 5,302 50 5,214 23,149 6433 1,020 18 1,060 1 1 271 1,359 572 1,999 791 2,956 29 2,223 11,830 3894 14,726 23 14,862 8 1 146 1,008 556 15,068 674 2,427 30 1,564 5,370 3305 3,877 12 4,027 1 2 48 219 498 4,175 435 1,715 23 337 2,820 1996 616 15 633 1 1 8 42 320 808 211 1,530 10 107 1,583 897 364 126 306 0 1 5 25 315 204 142 1,177 11 35 1,103 258 288 136 268 0 0 3 15 298 99 131 1,034 9 28 1,065 129 271 199 246 0 0 6 13 319 69 165 979 8 24 1,305 510 228 360 250 0 0 3 13 301 69 236 826 8 21 1,510 511 272 1,332 276 0 1 13 13 392 137 333 924 15 26 2,013 1612 271 1,245 297 0 1 6 19 428 117 390 872 8 33 2,098 1113 257 932 281 0 1 5 17 517 84 399 791 17 24 1,838 514 235 866 245 0 4 8 14 658 81 338 740 15 17 1,560 815 278 715 260 0 3 3 14 674 72 286 628 13 20 1,368 316 222 524 237 0 5 3 10 516 44 304 506 9 10 1,095 317 215 380 220 0 1 5 6 429 47 232 379 8 11 960 318 57 148 105 0 1 1 1 165 11 94 173 4 4 281 119 8 34 11 0 0 1 1 38 4 12 33 5 3 50 1

20 1 32 14 0 0 0 0 17 1 9 14 0 0 23 0

TOTAL 117,192 7,322 51,504 37 91 48,341 140,438 50,123 141,226 30,671 43,181 1,704 187,639 66,921 73,320


62

TOTAL 102,941 13,713 75,884 36 57 29,690 93,416 78,964 109,183 44,480 24,425 1,326 120,781 98,241 41,375


TABLE 52






AGE



CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

0 49,831 110 812 9 22 23,808 62,962 33,515 52,235 387 4,412 795 84,506 343 35,7561 8,284 54 20,329 6 17 4,617 21,333 3,375 22,022 19,341 8,880 219 24,241 4,931 3,5332 1,382 22 2,212 0 2 548 3,972 1,145 5,365 2,939 3,034 65 5,267 20,693 5513 1,165 11 1,608 1 2 256 1,986 1,135 2,377 2,052 1,315 44 2,926 11,300 3664 16,964 42 18,406 7 4 178 1,870 1,398 16,868 2,205 1,197 58 2,567 8,744 4455 5,781 22 7,100 3 2 66 472 1,688 5,827 1,956 722 30 579 6,085 3296 1,798 45 2,403 1 1 22 111 2,137 1,861 1,449 726 17 193 4,465 2177 1,543 394 1,820 0 0 22 71 2,897 494 1,295 573 8 80 3,577 448 1,367 420 1,764 1 0 22 66 2,805 328 1,113 436 12 61 3,306 209 1,269 568 1,842 0 0 27 71 2,925 258 1,067 410 11 51 3,415 1310 1,416 701 1,977 0 0 18 50 2,983 250 1,117 372 7 35 3,793 1511 1,351 1,992 1,958 0 1 16 68 2,912 232 1,207 414 11 43 4,215 1212 1,397 1,894 2,044 0 1 12 60 2,919 182 1,251 335 8 56 4,405 1113 1,544 1,528 2,106 2 0 14 69 3,164 184 1,427 305 11 40 4,073 1414 1,609 1,586 2,046 3 4 24 52 3,165 194 1,333 309 6 38 3,782 815 1,889 1,616 2,240 1 0 11 67 3,456 167 1,359 331 6 31 3,548 2116 1,822 1,236 2,093 2 0 14 65 3,057 166 1,192 279 12 26 3,174 1117 1,565 917 1,808 0 1 10 50 2,513 132 1,040 233 4 30 2,734 618 964 555 1,316 0 0 5 21 1,775 41 750 142 2 11 1,658 3

63

TOTAL 4,441 2,089 4,834 4 2 252 1,655 5,195 4,338 2,374 2,358 109 2,513 9,972 405





TABLE 53



AGE



CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

0 64 0 11 0 0 30 129 28 72 11 22 4 166 0 701 78 1 358 1 0 71 442 74 475 376 224 16 635 161 822 81 3 104 0 0 42 312 175 373 240 230 21 621 1,470 573 131 1 142 0 0 43 267 203 279 264 206 16 429 1,148 544 1,755 3 2,073 0 1 34 319 285 2,077 268 207 20 461 1,094 725 426 3 454 0 0 10 86 288 448 149 150 7 100 759 286 214 4 155 0 0 2 21 345 236 86 175 3 28 579 237 157 48 111 0 1 2 13 399 56 66 163 0 16 438 18 167 72 138 0 0 4 7 434 33 70 137 2 12 412 19 145 79 136 0 0 2 8 382 33 52 124 2 5 386 110 144 113 146 0 0 2 4 362 18 64 123 1 8 434 111 160 422 160 0 0 3 10 410 57 80 112 2 9 585 012 158 297 169 1 0 2 4 356 42 96 92 3 7 524 713 152 235 140 1 0 0 10 319 33 126 88 3 5 443 214 158 240 139 1 0 1 6 296 25 115 81 3 2 448 115 151 228 107 0 0 1 5 280 35 100 67 3 3 347 116 114 147 106 0 0 0 4 217 24 82 67 2 1 304 317 139 136 131 0 0 3 6 235 16 86 68 1 3 313 118 47 57 54 0 0 0 2 107 6 43 22 0 2 127 0

64

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

TOTAL 229,691 28,950 206,154 276 662 70,375 289,174 67,313 324,510 114,208 154,696 11,359 357,736 268,698 132,467




65


TABLE 54



AGETYPE OF IMMUNIZATION


0 96,865 255 4,531 79 191 42,052 163,283 29,342 109,618 3,601 23,452 6,056 201,988 2,168 106,8871 38,367 407 102,963 77 368 24,419 102,416 13,217 103,964 88,862 52,580 3,323 118,433 27,547 20,4072 4,681 98 5,819 12 19 1,944 12,982 2,024 19,490 5,689 19,692 643 18,732 99,576 1,5853 3,209 60 3,821 8 13 664 4,238 1,434 6,090 2,286 10,311 366 7,656 46,409 8304 63,708 89 64,970 57 41 453 3,380 1,491 65,015 2,171 8,605 380 6,469 19,668 8675 12,272 47 12,577 15 10 171 902 1,442 13,079 1,447 6,127 106 1,427 9,632 5256 1,681 80 1,642 3 2 39 193 1,057 2,096 713 5,308 52 399 5,295 2057 881 369 848 4 2 30 89 1,135 570 485 3,969 20 160 3,504 658 724 400 760 1 0 22 60 1,102 300 465 3,554 18 114 3,758 339 707 655 801 0 3 30 52 1,153 257 498 3,185 15 77 4,415 3310 714 1,347 774 3 1 26 67 1,153 263 673 3,017 16 114 5,434 4511 729 6,371 1,032 4 2 39 106 1,430 624 1,097 2,927 69 180 7,633 9212 794 5,225 1,042 0 1 53 85 1,676 581 1,203 2,621 58 161 8,313 6513 726 3,666 853 4 0 35 55 1,736 384 1,183 2,323 44 135 6,661 5914 757 3,468 851 1 1 50 60 2,137 381 1,090 2,016 40 124 5,621 5715 765 2,717 848 4 2 41 69 2,032 317 946 1,688 33 110 4,506 5016 686 1,766 724 2 2 34 65 1,599 230 706 1,332 32 78 3,485 5917 503 1,175 507 1 0 14 30 1,150 158 529 967 25 55 2,840 3018 156 430 169 1 0 9 10 434 56 184 391 11 18 1,103 1519 18 143 45 0 0 1 4 132 8 41 148 4 5 230 420 346 154 358 0 3 101 396 311 490 201 293 19 500 519 164

Unknown 402 28 219 0 1 148 632 126 539 138 190 29 801 381 390

TABLE 55



IMMUNIZATIONS BY ETHNICITY

ALL FUNDING SOURCES


ETHNICITY



CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

AMERICAN INDIAN 846 74 702 1 4 258 1,153 345 1,187 365 346 118 1,311 899 606ASIAN 19,059 3,240 13,546 8 17 4,324 19,833 10,091 21,842 7,902 13,985 271 23,201 20,423 7548BLACK 23,011 4,061 16,681 16 39 8,141 24,852 7,309 30,155 9,237 10,774 1,151 32,679 24,419 13177FILIPINO 2,891 442 2,132 2 1 759 2,433 1,349 3,003 1,058 1,390 90 3,238 2,753 983HISPANIC 304,903 34,829 234,085 236 398 96,367 357,224 144,913 386,875 132,893 147,626 9,795 452,241 304,571 167733WHITE 33,551 3,191 24,829 24 42 13,796 41,949 11,517 46,380 13,779 14,688 1,639 54,087 32,101 23592OTHER 44,632 3,635 28,603 45 292 16,928 48,125 16,590 57,502 16,188 22,297 895 65,583 35,621 20609PACIFIC ISLANDER 771 78 551 0 2 276 821 251 957 327 345 70 1,035 796 401UNKNOWN 24,601 2,524 17,247 21 17 7,809 28,293 9,230 31,356 9,984 13,209 469 35,294 22,249 12918

TOTAL 454,265 52,074 338,376 353 812 148,658 524,683 201,595 579,257 191,733 224,660 14,498 668,669 443,832 247,567


66

TABLE 56






ETHNICITY



CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

AMERICAN INDIAN 142 14 106 0 0 72 198 59 217 66 59 8 265 115 109ASIAN 4,411 417 1,856 1 1 1,315 4,434 2,812 4,473 1,051 1,127 40 5,531 2,398 2162BLACK 6,401 1,110 3,065 2 4 2,672 7,322 2,406 7,578 1,915 2,500 258 9,689 4,912 4431FILIPINO 580 32 221 1 0 215 510 260 611 114 211 11 727 348 245HISPANIC 72,527 3,561 30,036 20 58 29,945 88,195 31,962 87,379 17,861 24,939 1,087 117,659 37,848 44785WHITE 11,379 889 6,806 6 10 5,170 14,755 4,216 14,905 3,920 4,862 139 19,793 8,970 8887OTHER 13,607 790 5,335 5 13 6,113 14,465 5,251 16,053 3,205 5,453 93 20,865 7,213 7325PACIFIC ISLANDER 189 13 97 0 1 77 206 57 213 63 66 11 272 131 108UNKNOWN 7,956 496 3,982 2 4 2,762 10,353 3,100 9,797 2,476 3,964 57 12,838 4,986 5268

TOTAL 117,192 7,322 51,504 37 91 48,341 140,438 50,123 141,226 30,671 43,181 1,704 187,639 66,921 73,320


67

TABLE 57






ETHNICITY



CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

AMERICAN INDIAN 64 6 64 0 0 15 109 49 77 38 28 1 123 87 76ASIAN 2,221 364 1,722 0 1 441 1,759 1,512 2,035 1,020 409 18 2,106 2,023 665BLACK 3,409 259 1,708 1 2 1,550 3,828 1,536 4,025 966 699 103 5,213 1,923 2235FILIPINO 895 200 713 0 0 141 382 604 580 293 137 9 546 847 152HISPANIC 79,051 11,336 60,756 28 43 21,171 69,667 65,962 82,879 36,028 19,020 1,087 89,284 80,811 29319WHITE 4,221 252 2,741 2 5 1,653 5,031 1,982 5,193 1,438 960 33 6,464 3,109 2941OTHER 8,059 551 4,044 5 5 3,376 7,556 4,174 9,285 2,418 1,793 49 11,094 4,707 3429PACIFIC ISLANDER 139 6 90 0 0 53 114 71 144 53 26 8 153 135 59UNKNOWN 4,882 739 4,046 0 1 1,290 4,970 3,074 4,965 2,226 1,353 18 5,798 4,599 2499

TOTAL 102,941 13,713 75,884 36 57 29,690 93,416 78,964 109,183 44,480 24,425 1,326 120,781 98,241 41,375


68

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

TOTAL 4,441 2,089 4,834 4 2 252 1,655 5,195 4,338 2,374 2,358 109 2,513 9,972 405






TABLE 58CALIFORNIA DEPARTMENT OF HEALTH SERVICES


ETHNICITYTYPE OF IMMUNIZATION


AMERICAN INDIAN 5 0 3 0 0 0 2 1 5 2 0 1 2 7 1ASIAN 24 14 22 0 0 1 11 13 18 11 9 0 10 51 4BLACK 5 2 8 0 0 0 3 12 6 3 4 0 4 21 0FILIPINO 13 2 14 0 0 0 1 6 9 5 7 1 8 29 1HISPANIC 4,064 1,952 4,443 4 2 228 1,490 4,852 4,007 2,193 2,185 95 2,305 9,180 354WHITE 20 7 22 0 0 5 6 21 24 15 7 3 5 43 0OTHER 91 35 88 0 0 11 42 67 97 39 35 5 50 202 15PACIFIC ISLANDER 0 0 0 0 0 0 0 1 0 1 0 0 1 2 1UNKNOWN 219 77 234 0 0 7 100 222 172 105 111 4 128 437 29

69

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

TOTAL 229,691 28,950 206,154 276 662 70,375 289,174 67,313 324,510 114,208 154,696 11,359 357,736 268,698 132,467





70




ETHNICITY



AMERICAN INDIAN 635 54 529 1 4 171 844 236 888 259 259 108 921 690 420ASIAN 12,403 2,445 9,946 7 15 2,567 13,629 5,754 15,316 5,820 12,440 213 15,554 15,951 4717BLACK 13,196 2,690 11,900 13 33 3,919 13,699 3,355 18,546 6,353 7,571 790 17,773 17,563 6511FILIPINO 1,403 208 1,184 1 1 403 1,540 479 1,803 646 1,035 69 1,957 1,529 585HISPANIC 149,261 17,980 138,850 184 295 45,023 197,872 42,137 212,610 76,811 101,482 7,526 242,993 176,732 93275WHITE 17,931 2,043 15,260 16 27 6,968 22,157 5,298 26,258 8,406 8,859 1,464 27,825 19,979 11764

OTHER 22,875 2,259 19,136 35 274 7,428 26,062 7,098 32,067 10,526 15,016 748 33,574 23,499 9840PACIFIC ISLANDER 443 59 364 0 1 146 501 122 600 210 253 51 609 528 233UNKNOWN 11,544 1,212 8,985 19 12 3,750 12,870 2,834 16,422 5,177 7,781 390 16,530 12,227 5122

TABLE 60



IMMUNIZATIONS BY COUNTY

ALL FUNDING SOURCES


COUNTYTYPE OF IMMUNIZATION

POLIO DPT MMR MEAS RUBE HEP/HIB HIB HEPB DTAP VAR FLU PNE55 PNE67 HEPA PEDICODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

ALAMEDA 11,469 1,963 9,225 6 20 5,110 13,213 4,725 14,732 5,557 8,886 176 19,531 13,446 7338ALPINE 73 6 60 1 0 21 80 31 94 38 34 1 122 86 46AMADOR 345 20 198 0 0 155 316 108 412 113 68 5 461 256 126BUTTE 3,200 209 2,351 0 6 1,857 3,443 690 4,252 1,297 1,213 518 5,160 2,509 2486CALAVERAS 724 45 517 1 0 299 736 208 926 287 185 14 1,041 704 361COLUSA 349 47 483 0 0 84 1,088 122 533 174 318 9 1,192 606 756CONTRA COSTA 3,622 322 3,610 4 2 355 8,871 1,661 5,228 2,239 2,363 2,646 6,589 5,754 5129DEL NORTE 46 9 50 0 4 19 78 10 61 24 10 40 53 59 51EL DORADO 924 67 766 0 0 125 1,470 530 1,255 448 548 18 1,599 951 711FRESNO 24,687 2,324 18,189 62 27 11,600 22,525 7,765 31,801 10,823 15,051 880 34,134 23,281 12720GLENN 474 17 359 0 1 243 467 124 668 197 139 34 729 433 244HUMBOLDT 540 37 444 1 2 241 767 132 784 263 56 135 885 542 495IMPERIAL 4,787 261 2,929 1 8 1,384 4,572 1,598 6,065 1,576 1,257 10 5,848 3,499 979INYO 154 13 138 0 0 36 250 60 214 81 131 0 349 169 167KERN 13,309 1,432 10,419 3 46 5,683 13,544 3,633 17,064 5,576 5,684 415 19,775 13,271 8108KINGS 2,464 124 1,617 0 2 550 3,135 1,312 3,236 837 443 7 2,979 1,857 1214LAKE 234 32 252 0 0 74 499 83 347 153 45 6 443 283 345LASSEN 400 12 194 0 0 34 411 286 511 101 30 4 450 84 92LOS ANGELES 156,622 19,808 110,944 114 423 44,222 170,927 81,214 193,609 66,138 62,826 5,177 215,460 148,373 72303MADERA 3,889 513 2,367 4 4 836 3,873 2,437 5,020 1,252 3,510 1 4,946 2,510 637MARIN 1,409 20 613 0 1 651 411 160 1,749 297 488 4 1,100 669 186MARIPOSA 37 1 23 0 0 11 39 17 49 13 14 0 58 37 27MENDOCINO 149 15 166 1 0 26 240 69 206 88 86 2 222 145 111MERCED 4,142 491 3,947 2 2 1,752 6,593 1,531 6,329 2,246 2,371 218 8,505 5,367 4174MODOC 46 2 25 0 0 31 38 5 67 18 4 0 77 40 25MONO 132 16 137 0 0 77 178 21 201 99 172 0 303 129 162MONTEREY 3,474 811 2,395 4 4 1,350 1,960 1,964 3,523 1,377 1,058 16 3,538 3,952 1016NAPA 1,901 97 774 0 6 1,490 318 292 2,522 528 870 8 2,310 1,530 15NEVADA 254 25 287 0 4 64 787 68 430 180 234 2 900 332 567ORANGE 22,508 2,804 19,446 8 12 3,780 22,431 15,418 26,849 6,478 17,891 50 20,246 25,383 6662PLACER 2,165 74 1,212 2 2 1,220 1,455 450 2,756 682 797 5 3,077 1,434 790PLUMAS 144 13 103 1 1 80 158 36 199 62 56 0 260 82 94RIVERSIDE 21,401 2,008 13,037 16 24 7,170 22,696 12,932 25,753 7,307 5,030 228 29,640 17,334 10215SACRAMENTO 19,981 2,704 14,444 23 22 6,256 23,881 8,434 26,129 8,643 9,210 111 30,945 20,343 11390

71





ALL FUNDING SOURCES


COUNTY



CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

SAN BENITO 423 75 432 1 0 203 778 127 612 259 350 3 1,010 549 575SAN BERNARDINO 26,044 2,578 14,383 8 49 8,533 26,436 11,085 31,835 8,444 9,207 215 35,339 20,605 10914SAN DIEGO 25,325 1,994 21,601 21 25 10,172 32,360 8,887 32,523 10,044 12,024 1,529 38,043 22,696 12613SAN FRANCISCO 3,602 623 3,397 3 18 760 5,678 1,565 4,614 1,866 3,479 55 6,689 4,474 3256SAN JOAQUIN 11,465 1,572 10,479 10 10 2,077 20,320 3,963 15,477 6,082 5,315 187 21,441 15,385 11428SAN LUIS OBISPO 1,529 180 1,691 0 1 690 3,131 661 2,402 1,152 1,353 102 3,939 2,193 2300SAN MATEO 7,581 608 3,628 11 12 3,884 4,076 1,488 8,933 2,265 4,335 11 8,770 4,446 894SANTA BARBARA 8,359 696 6,479 3 3 2,745 10,571 4,553 10,746 4,029 3,595 51 14,298 8,287 5145SANTA CLARA 10,475 1,499 10,774 18 10 1,388 20,903 3,498 15,577 6,611 14,713 468 22,431 13,759 11509SANTA CRUZ 767 246 684 0 0 325 725 569 832 382 359 1 1,155 872 552SHASTA 2,823 45 1,102 1 5 1,934 1,147 369 3,632 351 250 8 3,335 963 675SIERRA 10 1 14 0 0 4 22 3 18 7 10 0 29 14 15SISKIYOU 422 32 409 2 0 215 1,056 98 653 181 100 12 758 363 357SOLANO 2,648 332 2,722 1 3 1,286 4,160 519 3,823 1,674 1,812 17 5,871 3,544 3277SONOMA 2,705 194 2,088 0 3 1,557 2,491 617 3,619 1,251 1,351 12 4,466 2,117 1855STANISLAUS 5,230 632 7,375 0 2 881 13,583 2,889 8,976 4,499 4,680 266 14,413 10,904 9673SUTTER 589 59 637 0 0 110 1,187 243 917 436 577 3 1,418 687 732TEHAMA 1,077 41 575 0 1 794 635 93 1,499 352 163 7 1,579 725 327TRINITY 49 17 72 0 0 23 174 30 76 41 42 2 181 76 123TULARE 11,720 1,437 7,929 11 11 6,614 9,665 2,790 15,760 4,923 4,987 158 18,367 10,742 5826TUOLUMNE 130 12 164 0 0 23 427 30 208 105 68 4 449 223 311VENTURA 10,098 1,019 8,604 4 16 3,578 15,146 3,343 13,491 5,256 7,498 154 18,739 10,320 8027YOLO 2,464 372 1,719 1 2 1,476 1,871 516 3,286 994 1,398 16 3,743 2,164 1211YUBA 478 30 597 1 0 105 1,068 129 719 344 271 7 1,332 718 852CITY OF BERKELEY 26 5 16 0 0 10 26 8 30 6 6 4 35 23 19CITY OF LONG BEACH 7,138 593 4,264 1 7 995 7,557 3,336 8,602 2,261 3,182 384 8,266 5,327 1526CITY OF PASADENA 1,433 153 967 0 1 207 1,697 768 1,605 472 464 0 1,760 1,207 176UNKNOWN 3,600 687 3,853 2 10 1,183 6,343 1,292 5,218 2,254 1,993 82 7,886 4,999 3657

TOTAL 454,265 52,074 338,376 353 812 148,658 524,683 201,595 579,257 191,733 224,660 14,498 668,669 443,832 247,567


72

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

SACRAMENTO 4,791 483 2,222 2 0 1,955 7,031 2,328 5,482 1,372 1,300 27 9,037 3,126 4489



TABLE 61






ALAMEDA 1,680 231 793 0 0 735 2,126 838 1,986 496 982 80 2,833 1,236 1341ALPINE 32 3 19 1 0 9 46 12 42 17 15 0 65 31 24AMADOR 232 9 95 0 0 117 185 61 269 50 41 2 300 136 68BUTTE 2,386 116 1,518 0 4 1,537 1,769 328 3,066 826 1,011 7 3,853 1,790 1412CALAVERAS 220 5 95 1 0 103 238 61 269 48 57 1 331 138 113COLUSA 171 23 246 0 0 41 689 43 304 84 227 3 773 297 504CONTRA COSTA 670 57 236 1 1 98 1,134 422 750 146 204 8 1,188 491 547DEL NORTE 1 1 3 0 0 0 2 3 3 2 1 0 1 3 0EL DORADO 344 25 366 0 0 89 669 136 501 200 191 14 733 441 441FRESNO 4,505 274 1,634 1 1 2,922 3,358 1,372 4,829 899 1,133 24 6,130 2,226 2429GLENN 244 5 107 0 0 199 74 10 319 64 71 0 338 117 53HUMBOLDT 118 11 33 0 0 93 41 13 163 15 6 3 95 23 10IMPERIAL 3,589 188 1,375 1 7 1,214 2,775 1,050 4,461 870 626 0 4,176 1,538 262INYO 52 1 53 0 0 17 108 14 78 33 100 0 165 69 102KERN 2,529 191 1,284 0 2 1,422 4,051 516 2,979 683 987 95 5,014 1,633 3100KINGS 456 23 468 0 1 201 729 92 727 262 157 0 778 580 505LAKE 71 5 83 0 0 8 204 30 111 41 21 1 171 75 140LASSEN 55 1 22 0 0 15 84 30 82 14 6 0 98 5 42LOS ANGELES 35,856 1,920 10,180 10 14 14,578 42,546 19,937 39,980 6,098 7,109 1,041 55,083 13,771 22018MADERA 2,964 378 1,827 2 1 619 2,973 1,339 3,912 954 3,055 1 3,829 1,857 369MARIN 135 9 120 0 1 43 275 54 208 72 289 1 348 197 168MARIPOSA 13 0 7 0 0 5 20 5 24 4 10 0 31 14 17MENDOCINO 46 8 42 0 0 15 68 12 57 19 42 0 57 45 40MERCED 2,491 91 1,840 2 0 1,321 2,484 601 3,598 1,056 1,313 4 4,033 2,503 1247MODOC 2 0 1 0 0 0 3 0 2 1 3 0 3 0 1MONO 11 0 7 0 0 2 16 4 16 8 6 0 15 6 3MONTEREY 61 2 21 0 0 29 42 13 67 16 15 1 77 39 20NAPA 36 0 11 0 0 22 15 28 40 9 22 0 40 19 3NEVADA 141 11 138 0 1 56 407 17 233 99 181 0 519 163 300ORANGE 590 33 302 0 0 179 668 783 701 188 199 2 762 456 194PLACER 1,691 69 974 2 2 915 1,202 341 2,190 581 684 5 2,448 1,193 639PLUMAS 32 5 33 0 0 12 92 12 56 26 22 0 112 28 70RIVERSIDE 7,540 412 2,338 3 6 3,095 8,239 4,624 8,615 1,313 1,271 45 11,019 3,205 4020

73

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

TOTAL 117,192 7,322 51,504 37 91 48,341 140,438 50,123 141,226 30,671 43,181 1,704 187,639 66,921 73,320










SAN BENITO 242 47 282 0 0 92 610 74 363 166 264 2 708 364 467SAN BERNARDINO 9,463 711 3,532 2 23 3,396 10,487 3,961 11,055 2,184 2,741 68 13,496 4,986 4719SAN DIEGO 5,845 203 1,593 2 7 3,296 3,570 1,702 6,519 866 1,701 37 7,207 2,350 1586SAN FRANCISCO 346 22 132 0 0 86 662 227 401 75 142 5 734 205 390SAN JOAQUIN 1,975 292 1,070 0 2 666 4,445 633 2,344 631 640 16 4,780 1,731 3247SAN LUIS OBISPO 943 33 672 0 0 536 1,248 223 1,393 466 766 1 1,938 882 824SAN MATEO 3,351 132 1,825 3 3 1,046 3,128 812 4,274 1,109 3,123 5 4,252 2,361 626SANTA BARBARA 6,330 337 4,246 0 2 2,335 8,770 2,520 8,685 2,802 3,025 25 11,921 5,221 4288SANTA CLARA 1,889 145 538 0 0 507 2,428 874 2,030 321 645 18 2,785 720 1086SANTA CRUZ 50 1 26 0 0 45 40 6 76 19 36 0 104 31 23SHASTA 187 13 284 0 0 50 559 36 338 145 71 1 597 263 438SIERRA 4 1 5 0 0 0 12 3 5 3 3 0 13 8 9SISKIYOU 96 12 132 0 0 35 359 25 178 82 71 2 383 114 260SOLANO 32 8 28 0 0 11 23 6 38 15 8 0 41 34 15SONOMA 972 57 924 0 2 467 1,168 183 1,368 519 955 0 1,738 667 891STANISLAUS 1,156 136 1,347 0 0 240 3,302 749 2,168 740 774 15 3,585 2,046 2348SUTTER 443 39 333 0 0 83 695 183 614 222 483 3 808 352 359TEHAMA 86 4 39 0 0 68 33 7 98 23 28 0 109 37 21TRINITY 11 11 31 0 0 3 96 9 20 21 22 1 89 22 70TULARE 747 32 125 0 0 563 397 247 816 89 193 7 856 197 229TUOLUMNE 44 8 54 0 0 2 106 12 70 35 12 3 103 65 57VENTURA 6,803 383 5,113 3 10 2,628 11,116 1,269 9,558 3,191 5,571 17 13,756 5,862 5845YOLO 102 6 47 0 0 64 41 24 126 23 36 0 113 74 25YUBA 211 10 111 1 0 71 175 54 270 66 113 2 248 129 59CITY OF BERKELEY 10 1 5 0 0 2 8 2 10 1 1 3 7 7 4CITY OF LONG BEACH 1,791 76 416 0 1 292 2,193 982 1,957 236 349 108 2,355 579 684CITY OF PASADENA 302 11 96 0 0 86 402 169 323 53 47 0 452 158 59UNKNOWN 6 1 5 0 0 5 2 2 9 2 4 0 6 5 0

74

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

SACRAMENTO 2,192 193 1,252 4 1 832 2,358 1,101 2,513 755 412 11 3,169 1,492 1262

TABLE 62








ALAMEDA 2,234 278 1,258 1 2 1,107 2,835 1,331 2,506 805 826 19 3,984 1,479 1888ALPINE 7 1 9 0 0 4 7 14 13 8 5 0 11 18 4AMADOR 70 5 57 0 0 28 62 30 76 33 12 0 83 48 27BUTTE 338 36 247 0 1 153 415 245 394 146 80 1 565 225 297CALAVERAS 124 9 94 0 0 34 81 76 128 41 13 1 115 137 35COLUSA 73 9 87 0 0 21 228 48 109 37 54 0 252 116 174CONTRA COSTA 464 32 230 0 0 73 678 351 564 125 70 0 737 264 293DEL NORTE 3 0 1 0 0 0 0 0 3 0 0 0 1 3 0EL DORADO 89 12 123 0 0 11 94 47 118 80 45 0 114 157 56FRESNO 2,941 529 2,542 1 0 1,213 1,744 1,786 2,928 1,551 913 9 3,141 3,562 1169GLENN 31 1 37 0 0 15 30 1 54 17 5 0 53 27 17HUMBOLDT 30 1 21 0 0 17 12 5 44 6 2 2 20 14 3IMPERIAL 440 22 456 0 0 139 450 170 665 247 336 2 684 679 219INYO 36 3 28 0 0 6 34 20 48 9 5 0 47 29 16KERN 1,781 168 1,914 0 0 507 2,115 861 1,758 755 638 10 2,237 1,910 1381KINGS 84 23 86 0 0 13 81 54 83 44 18 0 84 126 37LAKE 26 6 42 0 0 2 60 23 41 30 9 1 59 71 39LASSEN 13 2 4 0 0 5 16 9 11 2 3 0 24 12 11LOS ANGELES 42,110 6,731 30,987 15 19 10,581 37,685 38,504 42,375 20,103 8,668 955 47,449 42,087 16236MADERA 728 91 321 0 1 180 664 1,032 842 185 306 0 834 358 114MARIN 1 1 3 0 0 1 4 3 3 2 2 0 7 5 1MARIPOSA 10 0 5 0 0 1 4 5 11 3 0 0 5 7 0MENDOCINO 13 4 17 0 0 2 4 22 11 10 2 0 4 16 1MERCED 449 17 267 0 0 237 609 395 651 146 119 2 849 308 359MODOC 0 0 1 0 0 0 1 0 1 1 0 0 1 0 0MONO 6 1 6 0 0 2 0 4 6 1 2 0 3 6 1MONTEREY 534 80 255 0 1 248 284 302 609 127 122 1 551 637 161NAPA 206 38 128 0 0 120 17 69 254 90 41 0 176 280 0NEVADA 34 2 35 0 0 5 63 10 52 26 14 0 78 59 49ORANGE 12,228 1,295 9,837 3 2 2,446 9,700 9,917 11,913 4,659 2,352 10 9,885 11,007 2237PLACER 442 4 201 0 0 298 223 103 531 89 98 0 584 194 132PLUMAS 20 3 19 0 0 8 24 11 24 12 3 0 30 15 10RIVERSIDE 7,975 995 5,736 6 4 2,464 7,126 6,337 9,095 3,169 1,473 114 9,380 7,604 3042

75

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

TOTAL 102,941 13,713 75,884 36 57 29,690 93,416 78,964 109,183 44,480 24,425 1,326 120,781 98,241 41,375










SAN BENITO 114 16 96 1 0 69 120 38 148 54 56 0 200 103 84SAN BERNARDINO 11,203 1,162 6,502 3 19 3,987 9,654 5,557 13,162 3,783 3,037 47 13,922 9,198 3992SAN DIEGO 5,095 585 3,370 0 3 1,642 4,064 3,128 5,907 1,922 1,443 25 6,341 4,509 1436SAN FRANCISCO 118 11 78 0 0 19 361 43 143 56 49 6 387 94 265SAN JOAQUIN 1,783 335 1,604 1 0 487 2,242 890 1,799 736 485 5 2,633 2,019 1500SAN LUIS OBISPO 117 18 151 0 0 34 131 138 131 91 41 1 179 172 100SAN MATEO 765 11 186 0 0 346 669 117 879 141 224 0 1,028 215 209SANTA BARBARA 1,339 237 1,549 1 0 336 1,007 1,425 1,234 843 312 5 1,438 2,070 501SANTA CLARA 598 62 356 0 0 166 903 265 674 228 191 3 1,033 417 517SANTA CRUZ 390 38 253 0 0 262 384 85 503 127 199 0 702 304 307SHASTA 29 2 30 0 0 6 98 5 38 9 3 0 104 33 87SIERRA 3 0 5 0 0 3 4 0 4 2 3 0 8 3 2SISKIYOU 12 3 19 0 0 7 76 8 31 13 20 0 86 12 58SOLANO 221 12 85 0 0 135 170 32 223 50 39 0 331 114 154SONOMA 276 54 291 0 1 98 417 179 315 173 136 1 562 376 368STANISLAUS 816 44 1,290 0 0 74 1,195 1,128 949 946 303 6 1,305 1,712 857SUTTER 66 12 77 0 0 10 97 37 81 36 28 0 110 86 53TEHAMA 8 0 4 0 0 6 4 2 11 5 0 0 14 5 3TRINITY 13 6 13 0 0 5 26 14 18 5 4 0 24 11 11TULARE 499 29 160 0 0 339 205 98 579 110 78 1 511 230 88TUOLUMNE 4 0 5 0 0 0 3 2 6 2 3 0 4 9 1VENTURA 1,540 351 1,951 0 2 429 2,039 1,247 1,758 1,130 678 2 2,436 2,217 1171YOLO 259 12 85 0 0 200 69 39 320 60 36 0 334 78 50YUBA 11 0 8 0 0 4 16 8 13 4 1 0 21 9 11CITY OF BERKELEY 0 0 0 0 0 0 5 2 0 0 0 1 4 0 4CITY OF LONG BEACH 1,555 37 1,071 0 1 208 1,359 1,246 1,508 471 304 85 1,468 1,031 232CITY OF PASADENA 369 84 335 0 0 45 381 343 311 169 104 0 372 259 39UNKNOWN 6 0 4 0 0 0 9 2 4 0 0 0 8 3 4

76

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

SACRAMENTO 80 33 121 0 0 10 51 101 107 71 55 0 79 208 6

TABLE 63








ALAMEDA 174 109 198 0 0 22 61 194 131 92 169 1 82 378 19ALPINE 3 0 4 0 0 0 1 1 5 1 1 0 2 4 0AMADOR 0 2 1 0 0 0 0 2 1 1 0 0 2 7 0BUTTE 6 2 14 0 0 0 1 12 16 8 3 0 6 25 1CALAVERAS 4 1 4 0 0 0 1 6 3 3 2 0 2 15 0COLUSA 6 0 5 0 0 0 4 7 9 3 6 1 10 28 4CONTRA COSTA 41 19 63 0 0 2 17 36 53 24 11 12 19 132 10DEL NORTE 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0EL DORADO 2 1 5 0 0 0 3 4 2 2 1 0 2 11 0FRESNO 226 139 251 0 0 15 90 333 223 185 248 2 147 612 29GLENN 8 0 10 0 0 0 2 6 7 0 3 0 3 15 2HUMBOLDT 4 2 3 0 0 1 1 5 2 1 1 0 1 10 1IMPERIAL 2 3 5 0 0 0 0 3 4 0 5 0 0 8 0INYO 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0KERN 165 57 178 0 1 9 47 161 132 63 42 1 94 325 7KINGS 25 6 23 0 0 0 11 21 23 6 12 0 16 48 2LAKE 2 0 8 0 0 0 2 4 3 5 0 0 1 16 2LOS ANGELES 1,598 839 1,514 4 0 70 493 1,940 1,321 779 679 39 780 3,252 96MADERA 58 34 44 0 0 8 11 38 43 18 72 0 18 82 1MARIN 8 1 13 0 0 5 3 4 9 10 1 0 5 4 0MARIPOSA 2 0 2 0 0 0 1 1 2 2 0 0 0 2 1MENDOCINO 11 1 10 0 0 0 7 12 13 11 3 0 4 23 1MERCED 47 25 62 0 0 2 29 65 68 40 32 5 35 135 12MODOC 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0MONO 4 1 3 0 0 1 0 2 4 2 6 0 1 5 0MONTEREY 183 92 138 0 0 15 42 225 156 67 72 0 79 388 7NAPA 4 5 11 0 0 0 1 3 15 5 6 0 3 37 0NEVADA 1 0 1 0 0 0 0 2 3 0 0 0 1 3 0ORANGE 533 142 566 0 0 19 218 476 571 235 187 0 240 1,029 14PLACER 9 1 18 0 0 1 5 5 9 3 4 0 3 14 0PLUMAS 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0RIVERSIDE 130 60 138 0 0 6 52 148 146 88 34 4 81 332 9

77

CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

TOTAL 4,441 2,089 4,834 4 2 252 1,655 5,195 4,338 2,374 2,358 109 2,513 9,972 405










SAN BENITO 1 4 2 0 0 0 0 6 7 2 1 0 1 9 0SAN BERNARDINO 159 102 185 0 0 8 61 199 186 82 108 0 97 422 10SAN DIEGO 129 86 167 0 0 14 55 94 151 50 66 24 85 287 13SAN FRANCISCO 1 2 4 0 0 0 2 7 0 0 3 0 3 8 1SAN JOAQUIN 91 19 106 0 1 3 52 115 89 43 33 0 77 231 23SAN LUIS OBISPO 24 9 36 0 0 2 14 65 29 36 18 0 28 93 6SAN MATEO 8 1 5 0 0 2 2 7 8 2 8 0 6 9 0SANTA BARBARA 111 39 152 0 0 4 44 152 143 46 80 1 77 285 40SANTA CLARA 84 39 88 0 0 0 37 99 58 47 48 9 52 163 22SANTA CRUZ 32 25 33 0 0 2 13 35 23 15 10 0 19 52 9SHASTA 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0SIERRA 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0SISKIYOU 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0SOLANO 18 8 33 0 0 2 13 26 16 21 3 0 10 37 4SONOMA 21 3 36 0 0 0 5 43 29 20 20 0 10 72 3STANISLAUS 121 37 167 0 0 3 72 173 146 110 71 3 76 381 24SUTTER 6 3 13 0 0 0 7 6 13 6 13 0 11 22 2TEHAMA 1 1 5 0 0 0 3 2 5 1 0 0 4 3 0TRINITY 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0TULARE 101 53 104 0 0 5 42 90 120 54 52 1 106 222 3TUOLUMNE 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0VENTURA 133 50 202 0 0 18 50 178 162 92 119 5 93 364 14YOLO 20 24 32 0 0 2 17 22 32 9 23 0 22 69 2YUBA 9 1 12 0 0 0 3 13 7 6 5 0 5 20 3CITY OF BERKELEY 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0CITY OF LONG BEACH 27 5 25 0 0 0 5 37 23 5 7 1 8 54 1CITY OF PASADENA 8 2 13 0 0 1 3 7 8 2 15 0 5 16 1

78


RIVERSIDE 5,756 541 4,825 7 14 1,605 7,279 1,823 7,897 2,737 2,252 65 9,160 6,193 3144SACRAMENTO 12,918 1,995 10,849 17 21 3,459 14,441 4,904 18,027 6,445 7,443 73 18,660 15,517 5633

TABLE 64





COUNTY



CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

ALAMEDA 7,381 1,345 6,976 5 18 3,246 8,191 2,362 10,109 4,164 6,909 76 12,632 10,353 4090ALPINE 31 2 28 0 0 8 26 4 34 12 13 1 44 33 18AMADOR 43 4 45 0 0 10 69 15 66 29 15 3 76 65 31BUTTE 470 55 572 0 1 167 1,258 105 776 317 119 510 736 469 776CALAVERAS 376 30 324 0 0 162 416 65 526 195 113 12 593 414 213COLUSA 99 15 145 0 0 22 167 24 111 50 31 5 157 165 74CONTRA COSTA 2,447 214 3,081 3 1 182 7,042 852 3,861 1,944 2,078 2,626 4,645 4,867 4279DEL NORTE 42 8 46 0 4 19 76 7 55 22 9 40 51 53 51EL DORADO 489 29 272 0 0 25 704 343 634 166 311 4 750 342 214FRESNO 17,015 1,382 13,762 60 26 7,450 17,333 4,274 23,821 8,188 12,757 845 24,716 16,881 9093GLENN 191 11 205 0 1 29 361 107 288 116 60 34 335 274 172HUMBOLDT 388 23 387 1 2 130 713 109 575 241 47 130 769 495 481IMPERIAL 756 48 1,093 0 1 31 1,347 375 935 459 290 8 988 1,274 498INYO 66 9 56 0 0 13 107 26 87 39 26 0 136 71 49KERN 8,834 1,016 7,043 3 43 3,745 7,331 2,095 12,195 4,075 4,017 309 12,430 9,403 3620KINGS 1,899 72 1,040 0 1 336 2,314 1,145 2,403 525 256 7 2,101 1,103 670LAKE 135 21 119 0 0 64 233 26 192 77 15 4 212 121 164LASSEN 332 9 168 0 0 14 311 247 418 85 21 4 328 67 39LOS ANGELES 77,058 10,318 68,263 85 390 18,993 90,203 20,833 109,933 39,158 46,370 3,142 112,148 89,263 33953MADERA 139 10 175 2 2 29 225 28 223 95 77 0 265 213 153MARIN 1,265 9 477 0 0 602 129 99 1,529 213 196 3 740 463 17MARIPOSA 12 1 9 0 0 5 14 6 12 4 4 0 22 14 9MENDOCINO 79 2 97 1 0 9 161 23 125 48 39 2 157 61 69MERCED 1,155 358 1,778 0 2 192 3,471 470 2,012 1,004 907 207 3,588 2,421 2556MODOC 44 2 23 0 0 31 34 4 63 16 1 0 73 40 24MONO 111 14 121 0 0 72 162 11 175 88 158 0 284 112 158MONTEREY 2,696 637 1,981 4 3 1,058 1,592 1,424 2,691 1,167 849 14 2,831 2,888 828NAPA 1,655 54 624 0 6 1,348 285 192 2,213 424 801 8 2,091 1,194 12NEVADA 78 12 113 0 3 3 317 39 142 55 39 2 302 107 218ORANGE 9,157 1,334 8,741 5 10 1,136 11,845 4,242 13,664 1,396 15,153 38 9,359 12,891 4217PLACER 23 0 19 0 0 6 25 1 26 9 11 0 42 33 19PLUMAS 92 5 51 1 1 60 42 13 119 24 31 0 118 38 14

79


UNKNOWN 3,588 686 3,844 2 10 1,178 6,332 1,288 5,205 2,252 1,989 82 7,872 4,991 3653TOTAL



80

COUNTY








CODE: 39+64 59+60 33+46 34 36 56 38+63 40+41+42+51 45 46+52 53+54 55 67 65+66 68

SAN BENITO 66 8 52 0 0 42 48 9 94 37 29 1 101 73 24SAN BERNARDINO 5,219 603 4,164 3 7 1,142 6,234 1,368 7,432 2,395 3,321 100 7,824 5,999 2193SAN DIEGO 14,256 1,120 16,471 19 15 5,220 24,671 3,963 19,946 7,206 8,814 1,443 24,410 15,550 9578SAN FRANCISCO 3,137 588 3,183 3 18 655 4,653 1,288 4,070 1,735 3,285 44 5,565 4,167 2600SAN JOAQUIN 7,616 926 7,699 9 7 921 13,581 2,325 11,245 4,672 4,157 166 13,951 11,404 6658SAN LUIS OBISPO 445 120 832 0 1 118 1,738 235 849 559 528 100 1,794 1,046 1370SAN MATEO 3,457 464 1,612 8 9 2,490 277 552 3,772 1,013 980 6 3,484 1,861 59SANTA BARBARA 579 83 532 2 1 70 750 456 684 338 178 20 862 711 316SANTA CLARA 7,904 1,253 9,792 18 10 715 17,535 2,260 12,815 6,015 13,829 438 18,561 12,459 9884SANTA CRUZ 295 182 372 0 0 16 288 443 230 221 114 1 330 485 213SHASTA 2,607 30 788 1 5 1,878 490 328 3,256 197 176 7 2,634 667 150SIERRA 3 0 4 0 0 1 6 0 9 2 4 0 8 3 4SISKIYOU 314 17 258 2 0 173 621 65 444 86 9 10 289 237 39SOLANO 2,377 304 2,576 1 3 1,138 3,954 455 3,546 1,588 1,762 17 5,489 3,359 3104SONOMA 1,436 80 837 0 0 992 901 212 1,907 539 240 11 2,156 1,002 593STANISLAUS 3,137 415 4,571 0 2 564 9,014 839 5,713 2,703 3,532 242 9,447 6,765 6444SUTTER 74 5 214 0 0 17 388 17 209 172 53 0 489 227 318TEHAMA 982 36 527 0 1 720 595 82 1,385 323 135 7 1,452 680 303TRINITY 25 0 28 0 0 15 52 6 38 15 16 1 68 42 42TULARE 10,373 1,323 7,540 11 11 5,707 9,021 2,355 14,245 4,670 4,664 149 16,894 10,093 5506TUOLUMNE 82 4 105 0 0 21 318 16 132 68 53 1 341 147 253VENTURA 1,622 235 1,338 1 4 503 1,941 649 2,013 843 1,130 130 2,454 1,877 997YOLO 2,083 330 1,555 1 2 1,210 1,744 431 2,808 902 1,303 16 3,274 1,943 1134YUBA 247 19 466 0 0 30 874 54 429 268 152 5 1,058 560 779CITY OF BERKELEY 16 3 11 0 0 8 13 4 20 5 5 0 24 15 11CITY OF LONG BEACH 3,765 475 2,752 1 5 495 4,000 1,071 5,114 1,549 2,522 190 4,435 3,663 609CITY OF PASADENA 754 56 523 0 1 75 911 249 963 248 298 0 931 774 77

229,691 28,950 206,154 276 662 70,375 289,174 67,313 324,510 114,208 154,696 11,359 357,736 268,698 132,467

TABLE 65



OTHER TESTS BY AGE

ALL FUNDING SOURCES


AGEHemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR,ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites

TOTALCode: 13 Code: 15 Code: 23 Code: 24 Code: 16 Code: 17 Code: 18 Code: 20 Code: 21 Code: 22

0 46 3,263 5,295 794 6 10 5 23 6 21 9,4691 232 22,220 50,094 8,765 9 5 13 11 18 178 81,5452 114 16,722 36,349 5,764 9 1 8 7 16 140 59,1303 71 6,816 15,482 2,107 7 0 0 2 6 129 24,6204 87 7,310 16,092 2,161 3 4 5 6 4 160 25,8325 36 4,192 9,413 1,182 5 2 3 3 4 105 14,9456 30 1,288 3,277 464 3 1 0 4 0 78 5,1457 21 575 1,295 217 5 3 2 2 2 63 2,1858 16 376 946 152 4 1 0 3 0 57 1,5559 18 287 730 140 19 3 1 4 1 55 1,25810 13 270 734 109 24 6 0 9 2 54 1,22111 11 250 788 124 46 7 0 10 4 63 1,30312 21 260 712 118 51 13 2 22 5 52 1,25613 14 193 617 96 99 76 12 68 11 60 1,24614 21 170 654 81 140 202 31 200 23 45 1,56715 18 189 618 71 223 473 71 547 55 49 2,31416 19 145 483 49 341 569 114 672 96 40 2,52817 17 105 390 47 513 762 124 821 126 21 2,92618 7 32 148 16 677 797 116 816 141 15 2,76519 0 3 20 8 20 74 64 74 50 3 31620 1 45 111 14 12 85 70 80 65 2 485

UNKNOWN 1 37 102 11 0 2 1 2 2 0 158

TOTAL 814 64,748 144,350 22,490 2,216 3,096 642 3,386 637 1,390 243,769


81

TABLE 66



OTHER TESTS BY AGE





0 6 669 1,080 154 1 4 1 3 1 4 1,9231 35 7,223 8,285 2,094 2 2 2 2 0 21 17,6662 12 5,121 5,962 1,312 0 0 0 0 2 19 12,4283 13 1,602 2,230 411 1 0 0 0 1 14 4,2724 10 1,651 2,007 506 1 1 2 0 0 8 4,1865 11 790 1,120 254 2 1 1 1 2 8 2,1906 4 241 394 58 0 0 0 0 0 1 6987 1 84 167 34 2 0 0 0 0 9 2978 1 44 107 24 1 0 0 0 0 2 1799 0 33 96 20 7 1 0 1 0 8 16610 3 36 110 19 4 0 0 2 1 5 18011 2 40 99 17 5 0 0 1 1 3 16812 5 34 93 20 10 3 1 7 1 4 17813 1 40 93 12 14 20 6 12 5 8 21114 7 20 77 6 29 28 7 30 8 8 22015 5 24 77 9 43 56 23 63 19 3 32216 10 15 69 9 45 67 25 60 28 0 32817 7 23 60 3 45 62 24 63 35 3 32518 0 8 20 4 22 40 16 31 28 1 17019 0 2 2 0 6 12 13 17 9 0 6120 0 0 0 0 2 12 3 7 10 0 34

TOTAL 133 17,700 22,148 4,966 242 309 124 300 151 129 46,202


82

TOTAL 179 18,603 37,460 3,290 1,392 1,608 98 1,825 140 410 65,005


TABLE 67



OTHER TESTS BY AGE





0 6 373 898 120 2 2 0 6 2 1 1,4101 30 4,989 9,841 991 4 2 3 1 4 26 15,8912 18 4,022 8,027 645 5 0 1 1 1 31 12,7513 15 2,389 4,654 281 1 0 0 0 3 27 7,3704 20 3,036 5,633 369 1 1 0 1 2 43 9,1065 7 2,082 3,832 231 1 0 0 1 0 39 6,1936 6 590 1,269 150 0 0 0 0 0 25 2,0407 12 245 465 69 0 1 0 1 0 21 8148 9 142 343 56 2 0 0 1 0 21 5749 11 125 284 56 3 2 0 2 0 14 49710 5 119 282 36 10 1 0 1 0 25 47911 2 82 313 63 17 1 0 2 1 19 50012 9 99 283 51 22 4 0 5 2 22 49713 7 68 230 35 40 13 2 14 2 21 43214 4 64 294 38 47 37 5 46 2 17 55415 5 77 297 40 93 201 10 271 13 21 1,02816 3 52 242 24 176 275 28 340 26 19 1,18517 4 37 191 27 380 458 26 508 36 9 1,67618 6 12 82 8 588 610 23 624 46 9 2,008

83

TOTAL 20 1,324 2,794 269 114 154 9 163 7 49 4,903


TABLE 68


OTHER TESTS BY AGE






0 0 7 10 3 0 0 0 0 0 0 201 0 151 260 22 0 0 0 0 0 1 4342 2 261 539 27 0 0 0 1 0 1 8313 2 226 417 35 1 0 0 0 0 10 6914 3 280 595 58 0 0 0 0 0 8 9445 1 187 422 38 0 0 1 0 0 7 6566 4 82 188 18 0 0 0 0 0 4 2967 0 38 66 10 0 0 0 0 1 2 1178 0 31 57 11 0 0 0 0 0 2 1019 1 17 28 3 1 0 0 0 1 2 5310 2 13 31 6 0 0 0 0 0 1 5311 1 10 35 8 5 0 0 0 0 3 6212 1 5 25 6 1 0 0 0 0 2 4013 1 2 19 8 9 2 0 2 0 0 4314 1 3 26 6 8 9 0 9 0 1 6315 1 2 27 5 18 39 3 44 0 2 14116 0 2 20 2 24 34 3 35 1 2 12317 0 6 21 3 18 41 0 42 3 1 13518 0 1 8 0 29 29 2 30 1 0 100

84

Code: 13 Code: 15 Code: 23 Code: 24 Code: 16 Code: 17 Code: 18 Code: 20 Code: 21 Code: 22

TOTAL 482 27,121 81,948 13,965 468 1,025 411 1,098 339 802 127,659

TABLE 69


OTHER TESTS BY AGE



85



AGE TOTALHemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR,ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites

0 34 2,214 3,307 517 3 4 4 14 3 16 6,1161 167 9,857 31,708 5,658 3 1 8 8 14 130 47,5542 82 7,318 21,821 3,780 4 1 7 5 13 89 33,1203 41 2,599 8,181 1,380 4 0 0 2 2 78 12,2874 54 2,343 7,857 1,228 1 2 3 5 2 101 11,5965 17 1,133 4,039 659 2 1 1 1 2 51 5,9066 16 375 1,426 238 3 1 0 4 0 48 2,1117 8 208 597 104 3 2 2 1 1 31 9578 6 159 439 61 1 1 0 2 0 32 7019 6 112 322 61 8 0 1 1 0 31 54210 3 102 311 48 10 5 0 6 1 23 50911 6 118 341 36 19 6 0 7 2 38 57312 6 122 311 41 18 6 1 10 2 24 54113 5 83 275 41 36 41 4 40 4 31 56014 9 83 257 31 56 128 19 115 13 19 73015 7 86 217 17 69 177 35 169 23 23 82316 6 76 152 14 96 193 58 237 41 19 89217 6 39 118 14 70 201 74 208 52 8 79018 1 11 38 4 38 118 75 131 66 5 48719 0 1 18 8 14 62 51 57 41 3 25520 1 45 111 14 10 73 67 73 55 2 451

UNKNOWN 1 37 102 11 0 2 1 2 2 0 158

TABLE 70



OTHER TESTS BY ETHNICITY

ALL FUNDING SOURCES


Race/EthnicityHemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR,ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites


AMERICAN INDIAN 0 110 234 24 2 4 2 5 3 0 384ASIAN 3 2,126 3,075 1,186 4 169 8 67 20 21 6,679BLACK 216 2,163 5,320 2,341 161 236 152 291 121 68 11,069FILIPINO 3 129 477 99 1 7 2 15 0 2 735HISPANIC 566 43,048 114,979 14,966 1,938 2,331 332 2,636 319 1,176 182,291WHITE 8 4,683 7,232 1,278 33 95 65 113 68 9 13,584OTHER 11 4,437 7,357 1,930 32 159 48 134 75 55 14,238PACIFIC ISLANDER 0 59 228 46 1 3 3 2 3 0 345UNKOWN 7 7,993 5,448 620 44 92 30 123 28 59 14,444

TOTAL 814 64,748 144,350 22,490 2,216 3,096 642 3,386 637 1,390 243,769


TABLE 71








AMERICAN INDIAN 0 60 40 5 0 0 1 0 1 0 107ASIAN 2 889 655 58 3 12 0 3 7 3 1,632BLACK 63 576 1,117 406 68 49 39 69 29 20 2,436FILIPINO 0 23 53 15 0 0 0 0 0 0 91HISPANIC 65 10,100 15,413 3,633 136 124 43 134 32 91 29,771WHITE 2 2,387 2,266 328 18 28 16 25 29 2 5,101OTHER 1 1,470 1,550 301 10 72 15 40 42 1 3,502PACIFIC ISLANDER 0 17 48 4 0 0 1 0 0 0 70UNKOWN 0 2,178 1,006 216 7 24 9 29 11 12 3,492

TOTAL 133 17,700 22,148 4,966 242 309 124 300 151 129 46,202


TOTAL 179 18,603 37,460 3,290 1,392 1,608 98 1,825 140 410 65,005





TABLE 72





AMERICAN INDIAN 0 18 22 2 1 2 0 2 0 0 47ASIAN 0 308 443 76 0 20 0 30 0 11 888BLACK 20 277 678 159 14 16 3 22 3 4 1,196FILIPINO 2 60 151 10 1 6 2 12 0 0 244HISPANIC 151 11,122 30,226 2,521 1,335 1,485 75 1,653 123 332 49,023WHITE 0 788 1,076 108 1 10 1 13 3 2 2,002OTHER 1 1,004 2,422 279 7 17 1 21 6 24 3,782PACIFIC ISLANDERUNKOWN

05

105,016

302,412

5130

033

052

016

072

05

037

45

7,778


TOTAL 20 1,324 2,794 269 114 154 9 163 7 49 4,903





TABLE 73



Race/Ethnicity TOTALHemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR,ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites

AMERICAN INDIAN 0 1 1 0 0 0 0 0 0 0 2ASIAN 0 4 15 0 0 0 0 0 0 0 19BLACK 0 3 4 0 1 1 0 1 0 0 10FILIPINO 0 2 5 1 0 1 0 1 0 0 10HISPANIC 20 954 2,471 257 109 145 8 153 7 43 4,167WHITE 0 6 9 0 0 0 0 0 0 0 15OTHER 0 24 76 5 3 1 1 1 0 1 112PACIFIC ISLANDERUNKOWN

00

0330

2211

06

01

06

00

07

00

05

2

566


TOTAL 482 27,121 81,948 13,965 468 1,025 411 1,098 339 802 127,659





TABLE 74



Race/Ethnicity TOTALHemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR,ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites

AMERICAN INDIAN 0 31 171 17 1 2 1 3 2 0 228ASIAN 1 925 1,962 1,052 1 137 8 34 13 7 4,140BLACK 133 1,307 3,521 1,776 78 170 110 199 89 44 7,427FILIPINO 1 44 268 73 0 0 0 2 0 2 390HISPANIC 330 20,872 66,869 8,555 358 577 206 696 157 710 99,330WHITE 6 1,502 3,881 842 14 57 48 75 36 5 6,466OTHER 9 1,939 3,309 1,345 12 69 31 72 27 29 6,842PACIFIC ISLANDER 0 32 148 37 1 3 2 2 3 0 228UNKOWN 2 469 1,819 268 3 10 5 15 12 5 2,608



OTHER TESTS BY COUNTY

ALL FUNDING SOURCES JULY 2005 THROUGH JUNE 2006

COUNTYHemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR, ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites


ALAMEDA 2 723 1,252 14 6 101 10 56 62 69 2,295ALPINE 0 16 16 5 0 0 0 0 0 0 37AMADOR 0 16 36 13 0 0 0 0 0 0 65BUTTE 0 1,612 1,327 57 0 0 1 0 1 5 3,003CALAVERAS 0 29 223 16 1 1 1 2 0 0 273COLUSA 0 47 70 8 0 3 3 2 5 0 138CONTRA COSTA 1 241 1,374 761 7 18 4 17 1 8 2,432DEL NORTE 0 35 182 0 0 0 0 0 0 0 217EL DORADO 0 832 729 5 0 3 2 3 3 1 1,578FRESNO 4 9,712 8,990 264 12 160 19 24 19 27 19,231GLENN 0 94 77 8 0 0 1 0 1 0 181HUMBOLDT 0 358 58 4 2 1 1 0 0 0 424IMPERIAL 1 2,697 2,559 503 2 0 0 0 0 1 5,763INYO 3 6 38 1 1 1 0 1 0 0 51KERN 3 467 7,659 1,109 2 6 1 8 10 10 9,275KINGS 0 393 124 8 0 1 0 1 0 0 527LAKE 0 57 47 0 0 0 1 0 2 0 107LASSEN 0 6 18 1 0 3 2 0 2 0 32LOS ANGELES 613 11,592 51,791 6,936 1,999 1,824 276 1,974 237 1,042 78,284MADERA 0 2,512 1,953 4 0 2 0 1 0 1 4,473MARIN 0 190 466 1 0 1 1 1 2 2 664MARIPOSA 0 9 6 1 0 0 0 0 0 0 16MENDOCINO 0 92 24 6 0 0 0 0 1 0 123MERCED 0 2,430 2,180 8 0 3 0 0 5 0 4,626MODOC 0 28 1 1 0 0 0 0 0 0 30MONO 0 4 3 0 0 0 0 0 0 0 7MONTEREY 0 225 1,558 600 1 3 0 2 0 3 2,392NAPA 0 155 17 95 0 0 0 1 0 3 271NEVADA 0 122 191 3 1 0 0 0 0 0 317ORANGE 153 3,628 12,470 1,112 35 563 132 737 92 47 18,969PLACER 0 368 286 229 3 3 3 3 1 1 897PLUMAS 0 31 10 4 10 10 1 10 1 0 77RIVERSIDE 3 1,887 4,658 171 14 27 21 30 12 5 6,828SACRAMENTO 0 667 783 2,819 1 15 13 27 32 4 4,361

(CONTINUED)

91

TABLE 75 (CONTINUED)CALIFORNIA DEPARTMENT OF HEALTH SERVICES



ALL FUNDING SOURCES JULY 2005 THROUGH JUNE 2006

COUNTYHemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR, ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites


SAN BENITO 0 272 28 9 0 0 0 0 0 0 309SAN BERNARDINO 13 733 10,339 591 19 38 27 40 24 3 11,827SAN DIEGO 10 2,168 12,672 516 30 64 24 62 19 26 15,591SAN FRANCISCO 1 218 484 403 0 4 2 6 2 2 1,122SAN JOAQUIN 1 1,840 2,165 2,035 0 4 3 127 2 5 6,182SAN LUIS OBISPO 0 5 6 57 0 2 2 2 3 1 78SAN MATEO 0 1,173 1,336 20 1 2 1 1 4 1 2,539SANTA BARBARA 0 62 559 154 2 2 0 2 1 1 783SANTA CLARA 0 6,923 1,520 450 32 76 3 87 10 77 9,178SANTA CRUZ 0 265 316 5 1 10 0 10 0 7 614SHASTA 0 42 6 39 0 0 0 3 0 0 90SIERRA 0 5 6 0 1 1 0 1 0 0 14SISKIYOU 0 46 3 2 0 0 1 0 9 0 61SOLANO 0 13 1,235 3 0 26 4 23 2 0 1,306SONOMA 0 283 658 40 4 3 0 3 2 19 1,012STANISLAUS 1 2,873 2,746 114 2 4 4 3 1 5 5,753SUTTER 3 568 440 91 0 1 0 0 0 1 1,104TEHAMA 0 29 35 1 0 0 0 0 0 1 66TRINITY 0 6 5 0 0 0 0 0 0 0 11TULARE 0 1,471 2,097 379 1 0 1 7 3 2 3,961TUOLUMNE 0 14 43 0 0 0 1 0 1 0 59VENTURA 0 2,950 4,795 2,311 0 6 1 6 4 3 10,076YOLO 0 28 189 4 0 2 3 2 4 0 232YUBA 0 334 205 41 0 0 0 1 0 2 583CITY OF BERKELEY 0 3 2 0 0 0 0 0 0 0 5CITY OF LONG BEACH 1 121 282 160 17 82 65 77 51 0 856CITY OF PASADENA 0 1 418 202 8 4 3 6 2 0 644UNKNOWN 1 1,021 584 96 1 16 4 17 4 5 1,749TOTAL 814 64,748 144,350 22,490 2,216 3,096 642 3,386 637 1,390 243,769

SOURCE: FY 2005-06 SUMMARY CHDP DATA COME FROM CONFIDENTIAL SCREENING AND BILLING FORMS (PM160)

92

SACRAMENTO 0 262 279 400 0 7 6 13 10 1 978

(CONTINUED)




MEDI-CAL FEE-FOR-SERVICE FUNDING SOURCESJULY 2005 THROUGH JUNE 2006

COUNTY Hemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR, ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites TOTALCode: 13 Code: 15 Code: 23 Code: 24 Code: 16 Code: 17 Code: 18 Code: 20 Code: 21 Code: 22

ALAMEDA 0 63 63 1 0 58 4 27 39 6 261ALPINE 0 10 8 2 0 0 0 0 0 0 20AMADOR 0 5 9 0 0 0 0 0 0 0 14BUTTE 0 1,478 1,065 51 0 0 1 0 0 1 2,596CALAVERAS 0 15 37 15 0 1 1 1 0 0 70COLUSA 0 10 6 1 0 1 1 0 4 0 23CONTRA COSTA 0 37 39 0 0 0 0 0 0 0 76DEL NORTE 0 29 0 0 0 0 0 0 0 0 29EL DORADO 0 566 197 0 0 1 0 1 1 0 766FRESNO 0 1,311 1,012 15 2 11 4 2 4 2 2,363GLENN 0 79 70 7 0 0 1 0 1 0 158HUMBOLDT 0 298 13 0 1 1 1 0 0 0 314IMPERIAL 1 1,160 775 492 0 0 0 0 0 1 2,429INYO 0 1 7 0 1 1 0 1 0 0 11KERN 0 96 576 105 0 2 0 2 7 0 788KINGS 0 364 102 1 0 0 0 0 0 0 467LAKE 0 27 16 0 0 0 1 0 2 0 46LASSEN 0 0 1 0 0 1 0 0 2 0 4LOS ANGELES 119 1,046 5,489 713 195 149 50 173 29 105 8,068MADERA 0 2,108 1,634 4 0 2 0 0 0 1 3,749MARIN 0 73 6 0 0 1 1 1 2 0 84MARIPOSA 0 7 4 0 0 0 0 0 0 0 11MENDOCINO 0 62 21 0 0 0 0 0 0 0 83MERCED 0 2,005 1,470 4 0 3 0 0 4 0 3,486MODOC 0 20 0 0 0 0 0 0 0 0 20MONO 0 4 2 0 0 0 0 0 0 0 6MONTEREY 0 14 21 10 0 0 0 0 0 0 45NAPA 0 3 1 1 0 0 0 0 0 0 5NEVADA 0 107 82 0 0 0 0 0 0 0 189ORANGE 4 64 188 15 0 7 2 7 0 0 287PLACER 0 193 152 174 3 3 3 3 1 1 533PLUMAS 0 25 2 2 7 7 0 7 0 0 50RIVERSIDE 1 471 637 20 5 10 10 14 4 1 1,173

93


TOTAL 133 17,700 22,148 4,966 242 309 124 300 151 129 46,202







COUNTY TOTALHemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR, ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites

SAN BENITO 0 209 8 5 0 0 0 0 0 0 222SAN BERNARDINO 5 133 2,679 151 4 10 12 12 8 0 3,014SAN DIEGO 0 87 697 65 3 4 7 3 7 1 874SAN FRANCISCO 0 14 7 1 0 0 2 2 2 0 28SAN JOAQUIN 0 234 234 391 0 1 0 4 1 1 866SAN LUIS OBISPO 0 1 0 53 0 2 2 2 2 1 63SAN MATEO 0 826 307 2 0 2 1 0 4 0 1,142SANTA BARBARA 0 35 397 144 2 2 0 2 1 1 584SANTA CLARA 0 278 124 0 3 2 0 2 0 2 411SANTA CRUZ 0 21 25 0 1 0 0 0 0 0 47SHASTA 0 23 2 35 0 0 0 2 0 0 62SIERRA 0 3 4 0 1 1 0 1 0 0 10SISKIYOU 0 38 3 0 0 0 1 0 6 0 48SOLANO 0 2 1 2 0 0 0 0 0 0 5SONOMA 0 143 447 12 1 0 0 0 2 2 607STANISLAUS 0 538 479 13 1 2 1 1 1 0 1,036SUTTER 3 437 188 15 0 0 0 0 0 0 643TEHAMA 0 26 29 1 0 0 0 0 0 1 57TRINITY 0 6 2 0 0 0 0 0 0 0 8TULARE 0 100 26 5 0 0 0 1 0 0 132TUOLUMNE 0 9 34 0 0 0 0 0 0 0 43VENTURA 0 2,234 2,340 1,998 0 3 1 3 3 0 6,582YOLO 0 3 2 0 0 0 0 0 0 0 5YUBA 0 263 16 9 0 0 0 1 0 1 290CITY OF BERKELEY 0 1 0 0 0 0 0 0 0 0 1CITY OF LONG BEACH 0 23 50 16 8 14 10 11 4 0 136CITY OF PASADENA 0 0 63 15 4 0 1 1 0 0 84UNKNOWN 0 0 0 0 0 0 0 0 0 0 0

94


SACRAMENTO 0 282 218 258 0 0 2 1 1 2 764

(CONTINUED)

95







ALAMEDA 1 387 173 1 5 8 0 6 2 50 633ALPINE 0 3 3 2 0 0 0 0 0 0 8AMADOR 0 10 14 3 0 0 0 0 0 0 27BUTTE 0 107 66 1 0 0 0 0 0 3 177CALAVERAS 0 4 66 0 0 0 0 1 0 0 71COLUSA 0 12 13 0 0 0 0 0 0 0 25CONTRA COSTA 1 149 32 1 1 1 0 0 0 2 187DEL NORTE 0 3 1 0 0 0 0 0 0 0 4EL DORADO 0 240 183 0 0 1 0 1 1 0 426FRESNO 1 1601 1165 9 1 2 2 4 2 13 2,800GLENN 0 14 4 1 0 0 0 0 0 0 19HUMBOLDT 0 55 1 0 0 0 0 0 0 0 56IMPERIAL 0 1502 941 10 2 0 0 0 0 0 2,455INYO 0 1 7 0 0 0 0 0 0 0 8KERN 0 331 722 133 1 0 0 0 1 1 1,189KINGS 0 13 4 0 0 0 0 0 0 0 17LAKE 0 27 24 0 0 0 0 0 0 0 51LASSEN 0 2 5 0 0 0 0 0 0 0 7LOS ANGELES 61 3918 14585 756 1330 1146 41 1177 79 259 23,352MADERA 0 351 271 0 0 0 0 1 0 0 623MARIN 0 106 2 1 0 0 0 0 0 1 110MARIPOSA 0 1 1 1 0 0 0 0 0 0 3MENDOCINO 0 24 3 5 0 0 0 0 1 0 33MERCED 0 292 180 2 0 0 0 0 0 0 474MODOC 0 6 0 0 0 0 0 0 0 0 6MONO 0 0 0 0 0 0 0 0 0 0 0MONTEREY 0 201 605 540 0 1 0 0 0 1 1,348NAPA 0 120 1 8 0 0 0 1 0 2 132NEVADA 0 12 16 0 1 0 0 0 0 0 29ORANGE 113 2513 5262 611 19 395 37 575 34 36 9,595PLACER 0 161 118 51 0 0 0 0 0 0 330PLUMAS 0 6 4 1 0 0 0 0 0 0 11RIVERSIDE 0 1378 1507 31 8 11 1 9 0 4 2,949


TOTAL 179 18,603 37,460 3,290 1,392 1,608 98 1,825 140 410 65,005








SAN BENITO 0 53 11 2 0 0 0 0 0 0 66SAN BERNARDINO 1 542 5016 263 11 13 7 15 8 2 5,878SAN DIEGO 0 800 3598 52 7 15 4 15 3 7 4,501SAN FRANCISCO 0 33 5 0 0 0 0 0 0 2 40SAN JOAQUIN 0 521 510 171 0 0 0 0 0 1 1,203SAN LUIS OBISPO 0 0 0 4 0 0 0 0 0 0 4SAN MATEO 0 323 12 1 0 0 0 0 0 0 336SANTA BARBARA 0 19 139 10 0 0 0 0 0 0 168SANTA CLARA 0 438 172 0 0 1 0 1 1 2 615SANTA CRUZ 0 218 142 4 0 0 0 0 0 1 365SHASTA 0 13 0 4 0 0 0 1 0 0 18SIERRA 0 1 2 0 0 0 0 0 0 0 3SISKIYOU 0 6 0 0 0 0 0 0 3 0 9SOLANO 0 9 4 0 0 0 0 0 0 0 13SONOMA 0 131 150 25 3 2 0 3 0 15 329STANISLAUS 1 568 480 5 0 1 2 2 0 3 1,062SUTTER 0 123 55 1 0 1 0 0 0 0 180TEHAMA 0 2 1 0 0 0 0 0 0 0 3TRINITY 0 0 1 0 0 0 0 0 0 0 1TULARE 0 136 11 5 0 0 0 2 0 0 154TUOLUMNE 0 2 7 0 0 0 0 0 0 0 9VENTURA 0 677 783 280 0 3 0 3 1 2 1,749YOLO 0 19 1 0 0 0 0 0 1 0 21YUBA 0 68 1 2 0 0 0 0 0 1 72CITY OF BERKELEY 0 0 0 0 0 0 0 0 0 0 0CITY OF LONG BEACH 0 68 57 17 2 4 2 4 1 0 155CITY OF PASADENA 0 1 105 18 1 3 0 3 1 0 132

96


SACRAMENTO 0 97 84 14 0 4 0 4 0 0 203

(CONTINUED)

97



COUNTY TOTAL




Hemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR, ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/Parasites

ALAMEDA 0 46 55 0 0 1 0 2 0 9 113ALPINE 0 0 2 0 0 0 0 0 0 0 2AMADOR 0 0 0 0 0 0 0 0 0 0 0BUTTE 0 1 2 0 0 0 0 0 0 0 3CALAVERAS 0 1 3 0 0 0 0 0 0 0 4COLUSA 0 3 2 0 0 0 0 0 0 0 5CONTRA COSTA 0 8 57 11 1 2 0 2 0 0 81DEL NORTE 0 0 0 0 0 0 0 0 0 0 0EL DORADO 0 24 19 0 0 0 0 0 0 0 43FRESNO 0 123 86 1 0 2 0 1 1 4 218GLENN 0 0 0 0 0 0 0 0 0 0 0HUMBOLDT 0 3 0 0 0 0 0 0 0 0 3IMPERIAL 0 32 28 0 0 0 0 0 0 0 60INYO 0 0 0 0 0 0 0 0 0 0 0KERN 0 27 99 5 0 0 0 0 1 0 132KINGS 0 2 2 0 0 0 0 0 0 0 4LAKE 0 2 1 0 0 0 0 0 0 0 3LASSEN 0 0 0 0 0 0 0 0 0 0 0LOS ANGELES 5 209 925 34 106 101 6 106 2 17 1,511MADERA 0 33 14 0 0 0 0 0 0 0 47MARIN 0 10 9 0 0 0 0 0 0 0 19MARIPOSA 0 1 0 0 0 0 0 0 0 0 1MENDOCINO 0 5 0 0 0 0 0 0 0 0 5MERCED 0 34 30 0 0 0 0 0 0 0 64MODOC 0 1 0 0 0 0 0 0 0 0 1MONO 0 0 0 0 0 0 0 0 0 0 0MONTEREY 0 7 138 47 0 0 0 0 0 1 193NAPA 0 15 0 0 0 0 0 0 0 0 15NEVADA 0 0 0 0 0 0 0 0 0 0 0ORANGE 14 173 396 60 2 40 2 44 3 9 743PLACER 0 14 13 2 0 0 0 0 0 0 29PLUMAS 0 0 0 0 0 0 0 0 0 0 0RIVERSIDE 1 27 84 0 1 0 0 0 0 0 113




COUNTY TOTAL




Hemoglobin Lead Blood Lead Test Lead Refer VDRL,RPR, ART Gonorrhea Pap Smear Chlamydia Pelvic Ova/ParasitesCode: 13 Code: 15 Code: 23 Code: 24 Code: 16 Code: 17 Code: 18 Code: 20 Code: 21 Code: 22

SAN BENITO 0 0 0 0 0 0 0 0 0 0 0SAN BERNARDINO 0 19 158 2 1 2 1 2 0 0 185SAN DIEGO 0 48 211 1 2 0 0 0 0 1 263SAN FRANCISCO 0 2 2 0 0 0 0 0 0 0 4SAN JOAQUIN 0 56 53 28 0 0 0 0 0 0 137SAN LUIS OBISPO 0 1 0 0 0 0 0 0 0 0 1SAN MATEO 0 15 1 0 0 0 0 0 0 0 16SANTA BARBARA 0 5 18 0 0 0 0 0 0 0 23SANTA CLARA 0 66 10 11 0 1 0 1 0 4 93SANTA CRUZ 0 11 14 1 0 0 0 0 0 0 26SHASTA 0 0 0 0 0 0 0 0 0 0 0SIERRA 0 0 0 0 0 0 0 0 0 0 0SISKIYOU 0 0 0 0 0 0 0 0 0 0 0SOLANO 0 1 45 0 0 1 0 1 0 0 48SONOMA 0 8 10 3 0 0 0 0 0 2 23STANISLAUS 0 70 66 0 0 0 0 0 0 1 137SUTTER 0 7 3 3 0 0 0 0 0 0 13TEHAMA 0 0 0 0 0 0 0 0 0 0 0TRINITY 0 0 0 0 0 0 0 0 0 0 0TULARE 0 70 35 16 1 0 0 0 0 1 123TUOLUMNE 0 0 0 0 0 0 0 0 0 0 0VENTURA 0 39 95 30 0 0 0 0 0 0 164YOLO 0 2 10 0 0 0 0 0 0 0 12YUBA 0 3 0 0 0 0 0 0 0 0 3CITY OF BERKELEY 0 0 0 0 0 0 0 0 0 0 0CITY OF LONG BEACH 0 3 5 0 0 0 0 0 0 0 8CITY OF PASADENA 0 0 9 0 0 0 0 0 0 0 9UNKNOWN 0 0 0 0 0 0 0 0 0 0 0TOTAL 20 1,324 2,794 269 114 154 9 163 7 49 4,903

98


RIVERSIDE 1 11 2430 120 0 6 10 7 8 0 2,593

(CONTINUED)

99

INFORMATION ONLY/PHP SOURCES

COUNTY TOTAL







ALAMEDA 1 227 961 12 1 34 6 21 21 4 1,288ALPINE 0 3 3 1 0 0 0 0 0 0 7AMADOR 0 1 13 10 0 0 0 0 0 0 24BUTTE 0 26 194 5 0 0 0 0 1 1 227CALAVERAS 0 9 117 1 1 0 0 0 0 0 128COLUSA 0 22 49 7 0 2 2 2 1 0 85CONTRA COSTA 0 47 1246 749 5 15 4 15 1 6 2,088DEL NORTE 0 3 181 0 0 0 0 0 0 0 184EL DORADO 0 2 330 5 0 1 2 1 1 1 343FRESNO 3 6677 6727 239 9 145 13 17 12 8 13,850GLENN 0 1 3 0 0 0 0 0 0 0 4HUMBOLDT 0 2 44 4 1 0 0 0 0 0 51IMPERIAL 0 3 815 1 0 0 0 0 0 0 819INYO 3 4 24 1 0 0 0 0 0 0 32KERN 3 13 6262 866 1 4 1 6 1 9 7,166KINGS 0 14 16 7 0 1 0 1 0 0 39LAKE 0 1 6 0 0 0 0 0 0 0 7LASSEN 0 4 12 1 0 2 2 0 0 0 21LOS ANGELES 428 6419 30792 5433 368 428 179 518 127 661 45,353MADERA 0 20 34 0 0 0 0 0 0 0 54MARIN 0 1 449 0 0 0 0 0 0 1 451MARIPOSA 0 0 1 0 0 0 0 0 0 0 1MENDOCINO 0 1 0 1 0 0 0 0 0 0 2MERCED 0 99 500 2 0 0 0 0 1 0 602MODOC 0 1 1 1 0 0 0 0 0 0 3MONO 0 0 1 0 0 0 0 0 0 0 1MONTEREY 0 3 794 3 1 2 0 2 0 1 806NAPA 0 17 15 86 0 0 0 0 0 1 119NEVADA 0 3 93 3 0 0 0 0 0 0 99ORANGE 22 878 6624 426 14 121 91 111 55 2 8,344PLACER 0 0 3 2 0 0 0 0 0 0 5PLUMAS 0 0 4 1 3 3 1 3 1 0 16

SACRAMENTO 0 26 202 2147 1 4 5 9 21 1 2,416


UNKNOWN 1 1021 584 96 1 16 4 17 4 5 1,749


100

INFORMATION ONLY/PHP SOURCES

COUNTY TOTAL







SAN BENITO 0 10 9 2 0 0 0 0 0 0 21SAN BERNARDINO 7 39 2486 175 3 13 7 11 8 1 2,750SAN DIEGO 10 1233 8166 398 18 45 13 44 9 17 9,953SAN FRANCISCO 1 169 470 402 0 4 0 4 0 0 1,050SAN JOAQUIN 1 1029 1368 1445 0 3 3 123 1 3 3,976SAN LUIS OBISPO 0 3 6 0 0 0 0 0 1 0 10SAN MATEO 0 9 1016 17 1 0 0 1 0 1 1,045SANTA BARBARA 0 3 5 0 0 0 0 0 0 0 8SANTA CLARA 0 6141 1214 439 29 72 3 83 9 69 8,059SANTA CRUZ 0 15 135 0 0 10 0 10 0 6 176SHASTA 0 6 4 0 0 0 0 0 0 0 10SIERRA 0 1 0 0 0 0 0 0 0 0 1SISKIYOU 0 2 0 2 0 0 0 0 0 0 4SOLANO 0 1 1185 1 0 25 4 22 2 0 1,240SONOMA 0 1 51 0 0 1 0 0 0 0 53STANISLAUS 0 1697 1721 96 1 1 1 0 0 1 3,518SUTTER 0 1 194 72 0 0 0 0 0 1 268TEHAMA 0 1 5 0 0 0 0 0 0 0 6TRINITY 0 0 2 0 0 0 0 0 0 0 2TULARE 0 1165 2025 353 0 0 1 4 3 1 3,552TUOLUMNE 0 3 2 0 0 0 1 0 1 0 7VENTURA 0 0 1577 3 0 0 0 0 0 1 1,581YOLO 0 4 176 4 0 2 3 2 3 0 194YUBA 0 0 188 30 0 0 0 0 0 0 218CITY OF BERKELEY 0 2 2 0 0 0 0 0 0 0 4CITY OF LONG BEACH 1 27 170 127 7 64 53 62 46 0 557CITY OF PASADENA 0 0 241 169 3 1 2 2 1 0 419

TOTAL 482 27121 81948 13965 468 1025 411 1098 339 802 127659

TABLE 81



CHDP CHILDREN SERVED BY SOURCE AND COUNTY


COUNTY

MEDI-CAL CHILDREN SERVED BY CHDP

(INCLUDES MEDI-CAL, GATEWAY AND INFO/PHP)

MEDI-CAL PERCENT OF TOTAL CHILDREN SERVED BY CHDP

STATE-FUNDED CHILDREN SERVED BY

CHDP

STATE-FUNDED PERCENT OF TOTAL

CHILDREN SERVED BY CHDP

TOTAL

ALAMEDA 56,827 97.96% 1,184 2.04% 58,011ALPINE 313 96.60% 11 3.40% 324AMADOR 1,155 98.97% 12 1.03% 1,167BUTTE 13,497 99.34% 89 0.66% 13,586CALAVERAS 2,714 98.69% 36 1.31% 2,750COLUSA 2,645 97.89% 57 2.11% 2,702CONTRA COSTA 24,749 98.21% 451 1.79% 25,200DEL NORTE 1,529 99.93% 1 0.07% 1,530EL DORADO 5,105 99.22% 40 0.78% 5,145FRESNO 111,701 98.27% 1,965 1.73% 113,666GLENN 1,802 97.35% 49 2.65% 1,851HUMBOLDT 5,914 99.63% 22 0.37% 5,936IMPERIAL 14,572 99.73% 39 0.27% 14,611INYO 813 98.91% 9 1.09% 822KERN 75,423 98.77% 936 1.23% 76,359KINGS 8,200 97.38% 221 2.62% 8,421LAKE 1,879 98.27% 33 1.73% 1,912LASSEN 1,280 100.00% 0 0.00% 1,280LOS ANGELES 620,338 98.25% 11,062 1.75% 631,400MADERA 12,964 97.14% 382 2.86% 13,346MARIN 3,699 98.98% 38 1.02% 3,737MARIPOSA 192 98.46% 3 1.54% 195MENDOCINO 4,053 98.11% 78 1.89% 4,131MERCED 21,579 98.09% 421 1.91% 22,000MODOC 379 99.48% 2 0.52% 381MONO 642 96.83% 21 3.17% 663MONTEREY 12,586 93.56% 866 6.44% 13,452NAPA 5,170 98.16% 97 1.84% 5,267NEVADA 2,026 99.80% 4 0.20% 2,030ORANGE 140,805 97.62% 3,436 2.38% 144,241PLACER 6,441 98.68% 86 1.32% 6,527PLUMAS 788 99.37% 5 0.63% 793RIVERSIDE 76,288 98.81% 916 1.19% 77,204SACRAMENTO 89,347 99.17% 748 0.83% 90,095

103

(CONTINUED)

104

TOTAL 2,006,836 98.43% 31,997 1.57% 2,038,833





CHDP CHILDREN SERVED BY SOURCE AND COUNTY/CITY


COUNTY

MEDI-CAL CHILDREN SERVED BY CHDP

(INCLUDES MEDI-CAL, GATEWAY AND INFO/PHP)

MEDI-CAL PERCENT OF TOTAL CHILDREN SERVED BY CHDP

STATE-FUNDED CHILDREN SERVED BY

CHDP

STATE-FUNDED PERCENT OF TOTAL

CHILDREN SERVED BY CHDP

TOTAL

SAN BENITO 2,115 98.46% 33 1.54% 2,148SAN BERNARDINO 96,018 98.61% 1,352 1.39% 97,370SAN DIEGO 126,006 98.86% 1,451 1.14% 127,457SAN FRANCISCO 24,133 99.86% 34 0.14% 24,167SAN JOAQUIN 59,087 99.12% 522 0.88% 59,609SAN LUIS OBISPO 8,600 97.49% 221 2.51% 8,821SAN MATEO 20,629 99.82% 37 0.18% 20,666SANTA BARBARA 30,039 97.48% 775 2.52% 30,814SANTA CLARA 63,905 99.30% 448 0.70% 64,353SANTA CRUZ 3,966 96.92% 126 3.08% 4,092SHASTA 8,733 100.00% 0 0.00% 8,733SIERRA 111 100.00% 0 0.00% 111SISKIYOU 2,376 100.00% 0 0.00% 2,376SOLANO 14,834 98.99% 151 1.01% 14,985SONOMA 13,893 98.69% 184 1.31% 14,077STANISLAUS 39,648 97.83% 878 2.17% 40,526SUTTER 4,863 98.58% 70 1.42% 4,933TEHAMA 4,634 99.06% 44 0.94% 4,678TRINITY 515 99.81% 1 0.19% 516TULARE 49,486 98.16% 929 1.84% 50,415TUOLUMNE 1,176 99.49% 6 0.51% 1,182VENTURA 37,961 97.69% 896 2.31% 38,857YOLO 9,990 98.11% 192 1.89% 10,182YUBA 4,209 98.76% 53 1.24% 4,262CITY OF BERKELEY 118 98.33% 2 1.67% 120CITY LONG 23,440 99.15% 202 0.85% 23,642CITY PASADENA 4,935 98.60% 70 1.40% 5,005UNKNOWN 24,001 100.00% 0 0.00% 24,001

105

TABLE 82



CHILDREN SERVED BY GENDER

ALL FUNDING SOURCES


COUNTY FEMALE FEMALE PERCENT OF TOTAL MALE MALE PERCENT

OF TOTAL MISSING/UNKNOWN MISSING/UNKNOWN PERCENT OF TOTAL TOTAL

ALAMEDA 28,469 49.1% 29,340 50.6% 202 0.3% 58,011ALPINE 117 36.1% 181 55.9% 26 8.0% 324AMADOR 584 50.0% 580 49.7% 3 0.3% 1,167BUTTE 6,550 48.2% 6,995 51.5% 41 0.3% 13,586CALAVERAS 1,449 52.7% 1,284 46.7% 17 0.6% 2,750COLUSA 1,309 48.4% 1,378 51.0% 15 0.6% 2,702CONTRA COSTA 12,377 49.1% 12,776 50.7% 47 0.2% 25,200DEL NORTE 753 49.2% 763 49.9% 14 0.9% 1,530EL DORADO 2,599 50.5% 2,492 48.4% 54 1.0% 5,145FRESNO 55,526 48.9% 57,820 50.9% 320 0.3% 113,666GLENN 905 48.9% 937 50.6% 9 0.5% 1,851HUMBOLDT 2,841 47.9% 2,992 50.4% 103 1.7% 5,936IMPERIAL 7,233 49.5% 7,365 50.4% 13 0.1% 14,611INYO 376 45.7% 443 53.9% 3 0.4% 822KERN 37,309 48.9% 38,848 50.9% 202 0.3% 76,359KINGS 4,113 48.8% 4,297 51.0% 11 0.1% 8,421LAKE 907 47.4% 986 51.6% 19 1.0% 1,912LASSEN 632 49.4% 644 50.3% 4 0.3% 1,280LOS ANGELES 310,745 49.2% 319,402 50.6% 1,253 0.2% 631,400MADERA 6,530 48.9% 6,810 51.0% 6 0.0% 13,346MARIN 1,747 46.7% 1,989 53.2% 1 0.0% 3,737MARIPOSA 103 52.8% 91 46.7% 1 0.5% 195MENDOCINO 1,969 47.7% 2,148 52.0% 14 0.3% 4,131MERCED 10,967 49.9% 11,013 50.1% 20 0.1% 22,000MODOC 180 47.2% 200 52.5% 1 0.3% 381MONO 318 48.0% 342 51.6% 3 0.5% 663MONTEREY 6,730 50.0% 6,696 49.8% 26 0.2% 13,452NAPA 2,588 49.1% 2,675 50.8% 4 0.1% 5,267NEVADA 986 48.6% 1,040 51.2% 4 0.2% 2,030ORANGE 71,429 49.5% 72,787 50.5% 25 0.0% 144,241PLACER 3,218 49.3% 3,307 50.7% 2 0.0% 6,527PLUMAS 364 45.9% 426 53.7% 3 0.4% 793RIVERSIDE 38,108 49.4% 39,049 50.6% 47 0.1% 77,204SACRAMENTO 44,268 49.1% 45,496 50.5% 331 0.4% 90,095

105

(CONTINUED)

106

H

TOTAL 1,001,402 49.1% 1,032,767 50.7% 4,664 0.2% 2,038,833





CHILDREN SERVED BY GENDER

ALL FUNDING SOURCES


COUNTY FEMALE FEMALE PERCENT OF TOTAL MALE MALE PERCENT

OF TOTAL MISSING/UNKNOWN MISSING/UNKNOWN PERCENT OF TOTAL TOTAL

SAN BENITO 1,073 50.0% 1,073 50.0% 2 0.1% 2,148SAN BERNARDINO 48,141 49.4% 49,195 50.5% 34 0.0% 97,370SAN DIEGO 62,396 49.0% 64,796 50.8% 265 0.2% 127,457SAN FRANCISCO 11,847 49.0% 12,257 50.7% 63 0.3% 24,167SAN JOAQUIN 29,277 49.1% 30,153 50.6% 179 0.3% 59,609SAN LUIS OBISPO 4,484 50.8% 4,321 49.0% 16 0.2% 8,821SAN MATEO 10,227 49.5% 10,378 50.2% 61 0.3% 20,666SANTA BARBARA 15,221 49.4% 15,584 50.6% 9 0.0% 30,814SANTA CLARA 31,366 48.7% 32,838 51.0% 149 0.2% 64,353SANTA CRUZ 2,016 49.3% 2,069 50.6% 7 0.2% 4,092SHASTA 4,213 48.2% 4,485 51.4% 35 0.4% 8,733SIERRA 47 42.3% 64 57.7% 0 0.0% 111SISKIYOU 1,176 49.5% 1,194 50.3% 6 0.3% 2,376SOLANO 7,297 48.7% 7,663 51.1% 25 0.2% 14,985SONOMA 6,917 49.1% 7,110 50.5% 50 0.4% 14,077STANISLAUS 19,633 48.4% 20,872 51.5% 21 0.1% 40,526SUTTER 2,381 48.3% 2,543 51.6% 9 0.2% 4,933TEHAMA 2,263 48.4% 2,366 50.6% 49 1.0% 4,678TRINITY 253 49.0% 261 50.6% 2 0.4% 516TULARE 24,375 48.3% 25,812 51.2% 228 0.5% 50,415TUOLUMNE 557 47.1% 624 52.8% 1 0.1% 1,182VENTURA 19,056 49.0% 19,746 50.8% 55 0.1% 38,857YOLO 4,934 48.5% 5,233 51.4% 15 0.1% 10,182YUBA 2,034 47.7% 2,212 51.9% 16 0.4% 4,262CITY OF BERKELEY 45 37.5% 75 62.5% 0 0.0% 120CITY OF LONG BEAC 11,767 49.8% 11,850 50.1% 25 0.1% 23,642CITY OF PASADENA 2,433 48.6% 2,571 51.4% 1 0.0% 5,005UNKNOWN 11,674 48.6% 11,830 49.3% 497 2.1% 24,001

107

TABLE 83AALAMEDA COUNTY



CHILDREN SCREENED FOR HEALTH ASSESSMENTS AND COUNT FOR RISK REDUCEDBY AGE

ALL FUNDING SOURCES


AGE




0 15,671 22,285 15,224 3,695 3,1421 8,265 12,488 7,720 2,146 1,7772 4,806 4,769 3,989 814 7613 3,666 3,278 3,132 661 6414 4,101 3,602 3,373 633 6165 2,921 2,546 2,416 513 5076 1,896 1,653 1,604 385 3797 1,579 1,399 1,355 334 3278 1,436 1,246 1,210 337 3339 1,356 1,181 1,154 311 30510 1,507 1,337 1,294 337 33311 1,633 1,377 1,326 331 31912 1,620 1,386 1,343 331 32813 1,522 1,278 1,246 312 31014 1,553 1,339 1,302 341 33415 1,431 1,292 1,227 356 34016 1,206 1,064 1,032 296 28917 1,061 940 911 275 27018 410 356 341 80 7819 126 113 108 24 2420 167 169 150 16 14UNKNOWN 78 86 73 14 14

TOTAL 58,011 65,184 51,530 12,542 11,441




107

TABLE 83BALAMEDA COUNTY



CHILDREN SCREENED FOR HEALTH ASSESSMENTS AND COUNT FOR RISK REDUCEDBY ETHNICITY

ALL FUNDING SOURCES


ETHNICITY




AMERICAN INDIAN 123 130 109 26 24ASIAN 7,399 8,256 6,928 763 716BLACK 9,488 9,757 8,183 2,976 2,755FILIPINO 525 640 485 69 60HISPANIC 21,756 25,879 19,383 5,039 4,541WHITE 1,559 1,674 1,384 431 395OTHER 10,196 11,395 8,964 2,288 2,075PACIFIC ISLANDER 237 263 209 49 41UNKNOWN 6,728 7,190 5,885 901 834

TOTAL 58,011 65,184 51,530 12,542 11,441




108


TABLE 84AALPINE COUNTY




ALL FUNDING SOURCES


AGE




0 94 125 90 16 131 41 57 36 10 102 23 19 17 0 03 19 17 17 1 14 28 26 25 2 25 21 18 18 4 46 15 14 12 4 37 11 12 10 6 68 9 8 8 2 29 7 7 7 1 110 3 2 2 0 011 9 6 6 1 112 6 3 3 1 113 6 4 4 2 214 10 9 8 2 215 2 2 2 0 016 7 7 7 2 217 6 6 5 2 218 1 2 1 1 119 1 1 1 0 020 4 2 2 0 0UNKNOWN 1 0 0 0 0TOTAL 324 347 281 57 53




109


TOTAL 324 347 281 57 53




ALPINE COUNTY


BY ETHNICITY

ALL FUNDING SOURCES


TABLE 84B


CHILDREN SCREENED FOR HEALTH ASSESSMENTS AND COUNT FOR RISK REDUCED

ETHNICITY



AMERICAN INDIAN 54 53 48 9 9ASIAN 19 16 14 3 2BLACK 31 30 25 5 5FILIPINO 10 11 8 5 4HISPANIC 136 158 121 21 19WHITE 38 38 33 9 9OTHER 10 12 9 2 2PACIFIC ISLANDERUNKNOWN

1 0 0 0 0

25 29 23 3 3


110


TOTAL 1,167 1,320 1,086 170 159




AMADOR COUNTY


BY AGE

ALL FUNDING SOURCES


111

TABLE 85A



AGE



0 389 527 379 52 471 170 224 163 30 262 101 100 91 8 83 82 72 70 8 74 87 80 77 8 85 49 44 44 5 56 52 50 49 8 77 22 19 19 3 38 22 22 22 6 69 23 19 19 7 710 28 31 28 6 611 19 17 17 4 412 24 17 17 1 113 18 18 17 8 814 28 27 26 4 415 16 15 14 4 416 15 13 13 1 117 16 17 15 3 318 2 2 2 1 119 2 2 2 2 220 1 1 1 0 0UNKNOWN 1 3 1 1 1



TOTAL 1,167 1,320 1,086 170 159




AMADOR COUNTY


BY ETHNICITY

ALL FUNDING SOURCES


112

TABLE 85B



ETHNICITY



AMERICAN INDIAN 6 7 5 2 1ASIAN 31 32 28 4 3BLACK 67 74 63 12 12FILIPINO 3 2 2 1 1HISPANIC 437 490 402 77 69WHITE 390 466 375 43 42OTHER 176 196 166 22 22PACIFIC ISLANDER 1 1 1 0 0UNKNOWN 56 52 44 9 9



TOTAL 13,586 15,562 11,787 2,179 2,020




BUTTE COUNTY


BY AGE

ALL FUNDING SOURCES


113

TABLE 86A



AGE



0 4,128 5,908 4,026 726 6521 2,271 3,538 1,986 454 3902 1,423 1,375 1,127 181 1723 1,032 915 895 131 1264 1,090 942 930 118 1175 511 393 381 53 536 581 525 512 87 877 296 229 228 34 348 178 137 137 33 339 213 170 168 46 4610 215 163 162 41 4111 310 221 214 44 4312 226 154 153 27 2713 228 169 164 43 4014 246 206 203 44 4415 257 214 210 44 4316 171 134 128 35 3417 145 125 124 31 3118 38 23 22 5 519 5 1 1 0 020 12 6 6 1 1UNKNOWN 10 14 10 1 1



TOTAL 13,586 15,562 11,787 2,179 2,020




BUTTE COUNTY


BY ETHNICITY

ALL FUNDING SOURCES


114

TABLE 86B



ETHNICITY



AMERICAN INDIAN 247 288 226 57 55ASIAN 1,011 1,121 859 175 163BLACK 352 396 312 85 74FILIPINO 9 8 7 0 0HISPANIC 2,934 3,447 2,633 354 331WHITE 7,168 8,131 6,130 1,131 1,056OTHER 1,332 1,579 1,187 287 260PACIFIC ISLANDER 14 19 14 4 4UNKNOWN 519 573 419 86 77



TOTAL 2,750 3,061 2,461 312 296




CALAVERAS COUNTY


BY AGE

ALL FUNDING SOURCES


115

TABLE 87A



AGE



0 726 1,016 713 79 731 395 582 374 51 452 296 283 239 31 303 222 204 196 18 184 215 188 182 17 165 143 122 118 9 96 91 86 83 13 137 51 44 43 6 68 44 39 39 5 59 45 37 37 7 710 55 54 50 8 811 65 55 53 11 1112 73 55 54 6 613 64 58 53 10 914 78 73 70 14 1315 69 59 58 11 1116 51 40 40 6 617 40 37 36 8 818 15 14 13 1 119 0 0 0 0 020 7 7 5 0 0UNKNOWN 5 8 5 1 1


CHDP HEALTH HEALTH INDICATING RISK WITH RISKSERVICES ASSESSMENTS ASSESSMENTS REDUCED REDUCED

TOTAL 2,750 3,061 2,461 312 296



TABLE 87B




116

CALAVERAS COUNTY



BY ETHNICITY

ALL FUNDING SOURCES

ETHNICITY



AMERICAN INDIAN 16 16 13 4 3ASIAN 25 27 22 3 3BLACK 44 49 42 11 11FILIPINO 12 9 9 0 0HISPANIC 1,529 1,729 1,373 178 167WHITE 707 799 645 62 61OTHERPACIFIC ISLANDER

674

824

594

121

111

UNKNOWN 346 346 294 41 39




TOTAL 2,702 3,268 2,505 536 485



TABLE 88A




117

COLUSA COUNTY



BY AGE

ALL FUNDING SOURCES

AGE



0 906 1,335 895 183 1571 468 701 435 114 952 228 231 198 50 473 193 180 175 29 284 205 191 186 30 295 130 114 110 24 246 86 84 82 17 167 66 56 56 12 128 42 38 38 9 99 53 45 43 5 510 47 44 44 10 1011 41 33 33 3 312 37 33 32 10 1013 52 54 49 11 1114 30 26 26 4 415 34 30 30 9 916 32 29 29 5 517 36 29 29 6 618 10 9 9 3 31920

03

03

03

02

02

UNKNOWN 3 3 3 0 0




TOTAL 2,702 3,268 2,505 536 485



TABLE 88B




118

COLUSA COUNTY



BY ETHNICITY

ALL FUNDING SOURCES

ETHNICITY



AMERICAN INDIAN 11 12 10 1 1ASIAN 29 38 28 8 8BLACK 73 74 60 21 19FILIPINO 10 11 10 2 2HISPANIC 2,028 2,475 1,890 378 344WHITE 327 413 308 61 55OTHER 55 59 50 12 12PACIFIC ISLANDERUNKNOWN

1168

1185

1148

053

044



CHDP HEALTH HEALTH INDICATING RISK WITH RISK

TOTAL 25,200 29,856 23,650 6,466 5,855


4 = DX PENDING/RETURN VISIT SCHEDULED

TABLE 89


119

A



CONTRA COSTA COUNTY



BY AGE

ALL FUNDING SOURCES

AGE





0 8,941 12,582 8,769 2,459 2,1161 4,033 5,694 3,869 1,261 1,0542 1,896 2,008 1,744 414 3843 1,585 1,511 1,445 305 3004 1,729 1,607 1,542 323 3205 1,050 965 941 186 1846 842 789 780 205 2047 553 521 509 136 1338 457 419 412 109 1089 431 392 386 101 9910 411 381 372 97 9411 486 420 414 114 11212 485 435 421 112 11013 449 395 387 127 12514 478 428 425 108 10815 385 353 343 114 11416 370 340 330 103 10217 260 242 237 77 7618 100 89 86 31 3019 30 27 27 16 1620UNKNOWN

18940

20652

17338

617

597




TOTAL 25,200 29,856 23,650 6,466 5,855



TABLE 89B



120

CONTRA COSTA COUNTY



BY ETHNICITY

ALL FUNDING SOURCES

ETHNICITY





AMERICAN INDIAN 33 40 33 8 7ASIAN 318 349 294 89 82BLACK 3,665 3,904 3,374 1,121 1,029FILIPINO 280 348 272 64 58HISPANIC 12,549 15,704 11,957 3,345 3,010WHITE 2,551 2,966 2,459 799 733OTHER 2,833 3,316 2,671 357 324PACIFIC ISLANDERUNKNOWN

1672,804

1943,035

1612,429

60623

54558




UNKNOWN 4 4 4 2 2TOTAL 1,530 1,763 1,447 228 223




TABLE 90A



121

DEL NORTE COUNTY



BY AGE

ALL FUNDING SOURCES

AGE





0 498 653 489 59 571 243 346 230 39 362 153 162 144 25 253 147 142 137 18 184 116 110 106 19 195 51 46 44 7 76 72 70 69 8 87 34 31 31 5 58 22 20 19 5 59 18 17 17 4 410 19 16 16 4 411 38 37 36 9 912 21 19 19 4 413 16 14 14 3 314 29 26 25 9 915 22 22 21 2 216 12 11 11 3 317 5 5 5 2 218 3 3 3 0 01920

07

09

07

01

01


UNKNOWN 127 146 118 19 19

TOTAL 1,530 1,763 1,447 228 223





BY ETHNICITY

ALL FUNDING SOURCES

ETHNICITY

122

TABLE 90BDEL NORTE COUNTY






AMERICAN INDIAN 376 445 359 63 62ASIAN 97 92 82 10 10BLACK 6 8 6 3 3FILIPINO 0 0 0 0 0HISPANIC 261 318 250 42 42WHITEOTHER

559104

66193

54587

838

798

PACIFIC ISLANDER 0 0 0 0 0


20 7 9 5 0 0UNKNOWN 11 14 11 0 0




123


BY AGE

ALL FUNDING SOURCES

AGE

TABLE 91AEL DORADO COUNTY






0 1,666 2,229 1,501 97 871 939 1,131 728 63 612 485 414 366 38 373 330 260 256 27 274 440 364 353 24 245 276 215 212 15 156 174 150 144 22 227 82 68 66 9 98 80 72 71 10 109 69 56 54 8 710 72 63 62 14 1311 73 58 57 9 912 71 55 53 14 1213 59 46 44 11 1014 91 76 74 16 1615 85 75 70 8 816 67 53 53 10 1017 50 45 44 6 618 14 11 11 1 119 4 3 3 1 1

TOTAL 5,145 5,467 4,238 403 385


PACIFIC ISLANDER 12 14 11 1 1UNKNOWN 890 1,043 773 45 41

TOTAL 5,145 5,467 4,238 403 385





BY ETHNICITY

ALL FUNDING SOURCES

ETHNICITY

124

TABLE 91BEL DORADO COUNTY






AMERICAN INDIAN 21 17 17 1 1ASIAN 65 58 54 3 3BLACK 149 136 122 15 14FILIPINO 11 12 10 1 1HISPANIC 1,686 1,692 1,376 158 154WHITE 1,371 1,397 1,121 132 125OTHER 940 1,098 754 47 45


UNKNOWN 154 157 131 28 26




125


BY AGE

ALL FUNDING SOURCES

AGE

TABLE 92AFRESNO COUNTY






0 28,083 35,755 26,620 5,678 5,0261 15,347 22,506 13,364 4,132 3,3022 10,224 9,644 7,982 1,737 1,6093 7,927 6,558 6,284 1,086 1,0734 8,847 7,244 6,909 1,074 1,0595 6,220 5,122 4,947 848 8376 4,546 3,991 3,903 777 7717 3,419 2,928 2,873 654 6498 3,007 2,555 2,491 557 5519 2,854 2,426 2,370 538 53210 2,853 2,451 2,376 500 49311 3,376 2,756 2,691 576 57212 3,360 2,654 2,595 572 56913 2,879 2,329 2,273 529 52514 2,911 2,472 2,417 534 52615 2,656 2,226 2,174 527 52216 2,203 1,902 1,848 494 49117 1,758 1,450 1,406 375 36718 679 524 513 145 1451920

166197

163197

159172

4158

4153

TOTAL 113,666 118,010 96,498 21,460 19,739


PACIFIC ISLANDER 47 45 41 6 6UNKNOWN 5,258 4,532 3,856 460 441

TOTAL 113,666 118,010 96,498 21,460 19,739





BY ETHNICITY

ALL FUNDING SOURCES

ETHNICITY

126

TABLE 92BFRESNO COUNTY






AMERICAN INDIAN 440 442 406 96 93ASIAN 10,105 10,625 8,976 1,504 1,433BLACK 6,711 6,624 5,756 2,070 1,914FILIPINO 154 133 114 12 11HISPANIC 77,830 82,394 66,482 14,596 13,346WHITE 8,844 8,977 7,431 1,909 1,749OTHER 4,277 4,238 3,436 807 746


20 1 1 1 0 0UNKNOWN 6 11 6 1 1




127


BY AGE

ALL FUNDING SOURCES

AGE

TABLE 93AGLENN COUNTY






0 529 777 522 91 811 360 524 343 64 562 203 204 172 22 203 152 135 134 18 184 165 154 150 18 185 79 69 69 6 66 67 62 60 14 147 33 29 29 3 38 26 20 20 4 49 28 26 26 9 910 22 20 19 2 211 31 20 20 8 812 23 21 21 9 913 24 19 18 6 614 28 23 22 7 715 23 18 17 2 216 20 14 14 4 417 23 19 19 1 118 8 4 4 0 019 0 0 0 0 0

TOTAL 1,851 2,170 1,686 289 269

CHILDREN CHILDREN HEALTH TOTALRECEIVING TOTAL RECEIVING ASSESSMENTS CHILDREN

OTHER 181 249 167 30 28PACIFIC ISLANDER 2 3 2 1 1UNKNOWN 127 121 99 20 18TOTAL 1,851 2,170 1,686 289 269






ALL FUNDING SOURCES

ETHNICITY

128

TABLE 93BGLENN COUNTY


BY ETHNICITY


TOTAL TOTAL *TOTAL


AMERICAN INDIAN 10 10 10 5 5ASIAN 28 34 28 3 2BLACK 21 27 18 8 8FILIPINO 1 1 1 0 0HISPANIC 991 1,144 915 143 134WHITE 490 581 446 79 73


20 6 7 5 1 1UNKNOWN 11 15 11 0 0

TOTAL 5,936 6,782 5,245 1,131 1,015




129



ALL FUNDING SOURCES

AGE

TABLE 94AHUMBOLDT COUNTY


BY AGE


TOTAL TOTAL *TOTAL


0 1,964 2,729 1,889 431 3801 1,174 1,616 1,026 276 2192 540 535 463 96 933 502 444 436 67 654 447 380 374 45 445 238 186 183 29 286 154 128 127 27 277 104 79 79 18 188 82 70 69 10 109 76 66 65 15 1510 79 68 65 18 1711 112 98 96 17 1712 89 76 74 11 1113 67 51 51 14 1414 81 70 70 14 1415 78 63 62 16 1616 64 51 51 11 111718

5411

417

407

123

123

19 3 2 2 0 0


PACIFIC ISLANDER 4 4 3 0 0UNKNOWN 2,593 3,412 2,553 362 347

TOTAL 5,936 6,782 5,245 1,131 1,015






ALL FUNDING SOURCES

ETHNICITY

130

TABLE 94BHUMBOLDT COUNTY


BY ETHNICITY


TOTAL TOTAL *TOTAL


AMERICAN INDIAN 285 290 255 39 38ASIAN 211 17 17 1 1BLACK 27 28 24 6 5FILIPINO 7 4 4 1 1HISPANIC 732 796 645 202 170WHITEOTHER

1,859218

2,093138

1,66183

50020

43617

19 3 3 3 1 1

UNKNOWN 9 9 9 3 3




131



TABLE 95AIMPERIAL COUNTY


BY AGE

ALL FUNDING SOURCES



AGE RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP HEALTH HEALTH INDICATING RISK WITH RISK


0 3,952 5,805 3,870 566 5321 2,365 3,366 2,044 354 3302 1,907 1,651 1,417 173 1693 1,268 1,102 1,076 118 1184 1,423 1,226 1,191 146 1465 672 592 565 59 586 628 592 582 80 807 289 251 245 38 388 183 154 152 30 309 200 183 174 41 4110 187 167 161 31 3111 273 238 231 38 3712 295 260 251 43 4213 206 174 170 41 4114 224 200 196 36 3615 203 180 175 34 3416 165 152 148 31 3017 118 107 102 16 1618 30 25 25 4 4

20 11 9 9 1 1

TOTAL 14,611 16,446 12,796 1,884 1,818

CHILDREN CHILDREN HEALTH TOTAL

PACIFIC ISLANDER 5 4 3 1 1UNKNOWN 188 155 115 16 15

TOTAL 14,611 16,446 12,796 1,884 1,818






132

TABLE 95BIMPERIAL COUNTY


BY ETHNICITY

ALL FUNDING SOURCES


TOTAL TOTAL *TOTAL

ETHNICITY RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP HEALTH HEALTH INDICATING RISK WITH RISK


AMERICAN INDIAN 28 27 25 1 1ASIAN 21 23 18 2 2BLACK 126 131 114 19 19FILIPINO 9 9 7 0 0HISPANIC 13,772 15,552 12,090 1,792 1,727WHITEOTHER

37092

427118

34183

449

449

CHILDREN CHILDREN HEALTH TOTAL

19 0 0 0 0 020 1 1 1 0 0

TOTAL 822 935 754 154 143




133



TABLE 96AINYO COUNTY


BY AGE

ALL FUNDING SOURCES


TOTAL TOTAL *TOTAL



0 211 301 205 43 391 144 213 139 36 312 72 71 65 10 103 72 62 62 13 134 66 61 58 11 105 40 35 35 3 36 23 21 20 1 17 15 14 14 3 38 19 15 15 3 39 19 15 15 2 210 20 17 17 5 511 18 15 15 1 112 12 11 11 2 213 13 11 11 2 214 31 31 30 12 1115 16 13 13 2 216 16 14 14 4 417 6 6 6 1 118 5 5 5 0 0

UNKNOWN 3 3 3 0 0


OTHER 28 36 27 4 4PACIFIC ISLANDER 0 0 0 0 0UNKNOWN 24 22 21 2 2

TOTAL 822 935 754 154 143




INYO COUNTY


BY ETHNICITY

134

TABLE 96B




ALL FUNDING SOURCES




AMERICAN INDIAN 185 201 174 30 29ASIAN 5 5 5 0 0BLACK 29 27 26 7 7FILIPINO 6 9 5 4 3HISPANICWHITE

398147

476159

367129

8522

7721


19 53 40 38 9 920 100 104 86 18 15




135

KERN COUNTY


BY AGE

TABLE 97A




ALL FUNDING SOURCES




0 22,960 27,728 21,077 4,496 4,1451 11,014 15,156 9,750 2,414 2,0742 7,617 7,099 6,032 966 9203 5,667 5,038 4,818 683 6724 6,372 5,723 5,309 737 7265 4,219 3,785 3,600 539 5316 1,958 1,735 1,705 299 2997 1,635 1,433 1,406 265 2648 1,428 1,255 1,227 248 2479 1,455 1,270 1,248 270 26710 1,401 1,205 1,182 264 26411 1,762 1,446 1,411 272 26912 1,849 1,456 1,422 282 28113 1,612 1,342 1,304 316 30914 1,719 1,458 1,429 330 32915 1,315 1,084 1,061 251 2501617

1,054762

874615

850598

221151

220150

18 268 208 203 67 66

UNKNOWN 139 144 124 33 30

TOTAL 76,359 80,198 65,880 13,131 12,337


OTHER 3,471 3,945 3,147 256 239PACIFIC ISLANDER 40 42 35 7 7UNKNOWN 3,634 2,266 2,012 404 389

TOTAL 76,359 80,198 65,880 13,131 12,337




KERN COUNTY


BY ETHNICITY

136

TABLE 97B




ALL FUNDING SOURCES




AMERICAN INDIAN 110 110 92 12 12ASIAN 321 282 238 45 45BLACK 5,055 5,068 4,336 1,128 1,077FILIPINO 449 415 366 33 33HISPANICWHITE

53,01710,262

57,16810,902

46,6908,964

9,9581,288

9,3011,234

18 32 30 29 12 12

20 9 11 9 5 5

TOTAL 8,421 9,147 7,179 1,692 1,591




137

KINGS COUNTY


BY AGE

TABLE 98A




ALL FUNDING SOURCES





0 2,330 3,216 2,224 587 5291 1,356 1,948 1,199 296 2652 943 871 734 158 1513 658 506 477 98 964 913 666 637 78 775 388 289 283 59 596 314 285 283 72 727 192 177 177 33 338 150 136 133 42 429 128 115 112 24 2410 102 90 89 27 2611 141 120 118 24 2412 146 122 121 40 3913 129 118 115 22 2214 151 135 132 30 3015 131 119 119 37 3716 100 90 90 23 2317 91 84 81 20 20

19 2 2 2 1 1

UNKNOWN 15 17 15 4 4

TOTAL TOTAL *TOTAL

OTHER 614 720 543 44 41PACIFIC ISLANDER 7 7 6 0 0UNKNOWN 540 648 501 200 182

TOTAL 8,421 9,147 7,179 1,692 1,591




KINGS COUNTY


BY ETHNICITY

138

TABLE 98B




ALL FUNDING SOURCES


CHILDREN CHILDREN HEALTH TOTALETHNICITY RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDREN


AMERICAN INDIAN 21 24 20 5 4ASIAN 41 36 27 7 7BLACK 344 357 289 68 63FILIPINO 31 31 29 9 9HISPANICWHITE

6,036787

6,492832

5,100664

1,180179

1,118167

TOTAL TOTAL *TOTAL

18 5 5 5 1 119 0 0 0 0 0

UNKNOWN 3 4 3 0 0




139

LAKE COUNTY


BY AGE

TABLE 99A




ALL FUNDING SOURCES


CHILDREN CHILDREN HEALTH TOTALAGE RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDREN


0 651 776 624 55 551 332 437 310 23 202 152 145 137 13 133 127 116 115 9 94 137 129 124 15 155 113 98 97 13 136 56 50 48 8 87 23 18 18 1 18 41 36 36 1 19 36 32 32 3 310 26 24 24 3 311 31 31 29 3 312 33 29 28 3 313 41 38 36 7 614 33 29 29 2 215 24 23 22 4 416 28 25 25 5 517 16 14 14 4 4

20 4 3 3 0 0

TOTAL 1,912 2,062 1,759 173 169

TOTAL TOTAL *TOTAL

WHITE 648 683 613 58 57OTHER 33 28 24 4 4PACIFIC ISLANDER 3 2 2 0 0UNKNOWN 628 751 595 44 44

TOTAL 1,912 2,062 1,759 173 169




TABLE 99B




140

LAKE COUNTY


ALL FUNDING SOURCES




AMERICAN INDIAN 20 21 20 2 2ASIAN 3 2 2 0 0BLACKFILIPINO

321

313

311

60

60

HISPANIC 544 541 471 59 56

17 21 21 20 5 518 7 6 6 1 119 1 1 1 0 0

UNKNOWN 1 1 1 0 0

TOTAL 1,280 1,448 1,208 98 94



TABLE 100


141

A




LASSEN COUNTY


ALL FUNDING SOURCES





0 347 477 334 19 181 178 238 170 22 202 74 72 65 7 73 87 89 83 5 54 114 108 104 8 85 85 83 80 2 26 34 33 32 1 17 25 23 23 1 18 30 28 28 4 49 19 18 18 1 110 26 24 24 2 211 17 17 17 0 012 49 48 47 2 213 50 47 47 7 714 53 53 51 2 215 24 23 22 3 316 35 35 33 4 4

20 3 3 2 2 1

TOTAL TOTAL *TOTAL

WHITE 801 890 760 41 40OTHER 30 38 26 3 3PACIFIC ISLANDER 1 3 1 0 0UNKNOWN 30 40 28 1 1

TOTAL 1,280 1,448 1,208 98 94




TABLE 100B




142

LASSEN COUNTY


ALL FUNDING SOURCES




AMERICAN INDIAN 56 64 55 9 9ASIAN 9 11 9 1 1BLACK 29 34 27 3 3FILIPINOHISPANIC

2322

2366

2300

040

037

17 10,059 9,143 8,898 1,985 1,93818 5,753 5,265 5,162 1,206 1,192

20 935 918 799 184 172

TOTAL 631,400 716,965 572,808 110,215 100,940


TABLE 101



143

A




LOS ANGELES COUNTY


BY AGE

ALL FUNDING SOURCES





0 172,734 229,822 169,395 32,901 29,4681 81,646 141,492 77,984 19,517 15,4032 57,165 58,466 48,572 8,292 7,7033 41,634 38,435 36,434 5,558 5,3864 48,980 44,173 41,939 5,489 5,3245 31,918 27,518 26,406 4,117 4,0096 25,046 23,140 22,477 3,900 3,8237 16,813 15,288 14,866 2,954 2,8788 15,543 13,957 13,588 2,647 2,6029 15,324 13,782 13,434 2,785 2,73210 15,593 14,068 13,732 2,733 2,68311 17,827 15,616 15,140 2,872 2,80412 15,942 13,896 13,531 2,634 2,57413 15,142 13,210 12,840 2,570 2,52514 15,786 13,891 13,519 2,758 2,71015 14,339 12,904 12,549 2,630 2,58816 11,927 10,688 10,408 2,239 2,198

19 618 533 517 124 122

UNKNOWN 676 760 618 120 106

WHITE 17,042 19,494 15,739 1,816 1,717OTHER 31,130 49,659 28,630 6,964 5,352PACIFIC ISLANDER 767 846 692 169 155UNKNOWN 21,657 23,519 19,104 3,255 2,864

TOTAL 631,400 716,965 572,808 110,215 100,940




TABLE 101B




144

LOS ANGELES COUNTY


BY ETHNICITY

ALL FUNDING SOURCES





AMERICAN INDIAN 333 359 310 58 57ASIAN 16,328 19,110 14,869 1,591 1,473BLACK 40,526 41,983 35,491 9,323 8,551FILIPINOHISPANIC

3,299500,318

3,593558,402

2,910455,063

57286,467

54580,226

17 131 101 101 20 20

19 1 1 1 1 1

UNKNOWNTOTAL



TABLE 102


145

A




MADERA COUNTY


BY AGE

ALL FUNDING SOURCES





0 3,428 5,086 3,356 975 8231 2,193 3,250 1,871 702 5602 1,432 1,339 1,075 293 2723 1,066 894 881 190 1894 1,178 882 875 175 1755 645 464 447 83 836 647 535 530 124 1247 341 260 259 75 758 280 214 211 63 639 304 263 261 73 7310 266 201 199 53 5311 291 221 218 51 5112 265 214 208 44 4413 244 206 204 51 5014 242 202 198 40 3915 189 164 157 47 4616 166 141 133 43 41

18 34 25 24 10 10

20 1 1 1 0 02 2 2 1 1

13,346 14,666 11,212 3,114 2,793

HISPANIC 11,351 12,580 9,542 2,753 2,467WHITE 1,024 1,090 889 155 146OTHER 446 494 357 125 103PACIFIC ISLANDER 1 1 1 0 0UNKNOWN 264 222 190 18 17






146

TABLE 102BMADERA COUNTY



BY ETHNICITY

ALL FUNDING SOURCES





AMERICAN INDIAN 82 90 80 25 24ASIANBLACK

24152

28160

21131

334

332

FILIPINO 2 1 1 1 1

TOTAL 13,346 14,666 11,212 3,114 2,793

16 58 54 52 14 1417 38 30 30 9 9

19 0 0 0 0 0

UNKNOWN 2 1 1 0 0TOTAL




147



TABLE 103AMARIN COUNTY



BY AGE

ALL FUNDING SOURCES





0 1,211 1,816 1,194 470 3881 764 1,070 668 306 2542 410 378 315 119 1093 249 205 201 56 564 217 185 182 50 495 138 106 104 26 266 91 78 78 16 167 78 59 59 17 178 51 44 44 11 119 56 44 43 12 1210 68 54 53 14 1411 71 55 53 13 1312 39 36 34 4 413 51 43 43 7 714 57 57 52 14 1015 68 60 56 14 14

18 10 6 6 0 0

20 10 11 9 1 1

3,737 4,392 3,277 1,173 1,024

FILIPINO 1 1 1 0 0HISPANIC 2,441 2,894 2,114 846 730WHITE 489 565 430 104 94OTHER 459 558 434 143 130PACIFIC ISLANDER 3 4 3 0 0

TOTAL 3,737 4,392 3,277 1,173 1,024






148

TABLE 103BMARIN COUNTY




ALL FUNDING SOURCES




AMERICAN INDIAN 26 25 23 7 7ASIAN 96 116 89 26 23BLACK 167 177 150 37 34

UNKNOWN 55 52 33 10 6

17 4 4 4 0 018 1 1 1 0 0

20 0 0 0 0 0UNKNOWN 0 0 0 0 0

TOTAL




149



TABLE 104AMARIPOSA COUNTY




ALL FUNDING SOURCES




0 66 84 64 5 51 22 24 17 3 32 19 18 16 2 23 12 12 12 2 24 14 13 13 0 05 17 18 16 3 36 5 4 4 0 07 7 7 7 0 08 1 1 1 0 09 4 4 4 0 010 4 2 2 0 011 6 5 5 0 012 2 2 2 0 013 2 1 1 0 014 5 4 4 0 01516

22

12

12

00

00

19 0 0 0 0 0

195 207 176 15 15

FILIPINO 0 0 0 0 0HISPANIC 60 63 55 4 4WHITE 110 119 98 9 9OTHER 10 10 10 1 1PACIFIC ISLANDER 0 0 0 0 0

TOTAL 195 207 176 15 15






150

TABLE 104BMARIPOSA COUNTY




ALL FUNDING SOURCES





UNKNOWN 10 10 8 1 1

14 69 66 63 8 8

16 49 43 42 9 9

18 7 5 5 1 1

20 5 3 3 0 0UNKNOWN

TOTAL




151



TABLE 105AMENDOCINO COUNTY




ALL FUNDING SOURCES




0 1,556 2,187 1,525 121 1101 752 1,094 709 70 612 367 349 318 23 233 287 268 260 15 154 286 261 254 19 195 155 141 138 20 206 79 69 69 5 57 77 66 65 7 78 56 49 49 4 49 39 32 32 4 410 48 44 43 7 711 63 56 53 6 612 62 52 51 4 413 75 74 71 12 11

15 56 46 46 8 8

17 31 28 28 5 5

19 0 0 0 0 0

12 12 12 1 1

4,131 4,945 3,836 349 328

FILIPINO 5 5 4 0 0HISPANIC 1,301 1,514 1,206 125 117WHITE 1,029 1,192 967 69 66OTHER 80 96 68 5 5PACIFIC ISLANDER 2 2 2 0 0UNKNOWN 1,535 1,975 1,449 133 123

TOTAL 4,131 4,945 3,836 349 328




MENDOCINO COUNTY




152

TABLE 105B



ALL FUNDING SOURCES




AMERICAN INDIANASIAN

14114

12013

10512

103

103

BLACK 24 28 23 4 4

16 256 218 215 41 4117 184 158 154 24 24

19 18 14 14 3 3

UNKNOWN 18 20 15 1 1

TOTAL




153

MERCED COUNTY




TABLE 106A



ALL FUNDING SOURCES




0 6,207 9,589 6,098 644 5931 3,461 5,579 3,111 441 3882 2,424 2,297 1,944 177 1653 1,908 1,598 1,560 126 1224 2,042 1,675 1,624 136 1365 1,069 937 901 68 686 969 908 880 86 867 420 375 367 39 398 336 289 280 31 319 353 312 310 38 3810 336 301 295 33 3311 434 356 346 56 5612 400 311 305 39 3813 359 324 315 42 421415

361348

314315

306312

3755

3655

18 77 67 65 16 16

20 20 19 18 3 3

22,000 25,976 19,435 2,136 2,014

FILIPINO 7 7 7 0 0HISPANIC 15,039 17,942 13,250 1,256 1,180WHITE 2,829 3,341 2,564 352 336OTHER 1,234 1,512 1,122 85 82PACIFIC ISLANDER 16 19 12 2 2UNKNOWN 430 338 274 29 28

TOTAL 22,000 25,976 19,435 2,136 2,014




MERCED COUNTY




154

TABLE 106B



ALL FUNDING SOURCES




AMERICAN INDIAN 26 31 22 2 2ASIANBLACK

1,719700

1,997789

1,550634

32189

29886

15 16 15 15 0 016 11 7 7 0 0

18 1 1 1 0 0

20 0 0 0 0 0UNKNOWN

TOTAL




155

MODOC COUNTY




TABLE 107A



ALL FUNDING SOURCES




0 88 113 80 4 41 65 76 50 8 62 54 37 35 2 23 26 23 23 1 14 30 25 25 0 05 16 15 14 0 06 7 6 6 0 07 4 4 4 0 08 6 6 6 0 09 3 3 3 0 010 6 5 5 1 111 8 8 8 0 012 9 7 7 0 013 9 8 7 1 114 13 12 12 0 0

17 8 8 8 1 1

19 0 0 0 0 0

1 1 1 0 0

381 380 317 18 16

BLACK 1 1 1 0 0FILIPINO 2 2 2 0 0HISPANIC 169 184 137 10 8WHITE 155 139 130 4 4OTHER 9 8 7 3 3

UNKNOWN 12 10 10 0 0




MODOC COUNTY




156

TABLE 107B



ALL FUNDING SOURCES




AMERICAN INDIAN 31 33 28 1 1ASIAN 0 0 0 0 0


TOTAL 381 380 317 18 16

15 7 7 7 5 516 4 3 3 1 1

18 4 3 3 0 0

20UNKNOWNTOTAL




157

MONO COUNTY



TABLE 108A



ALL FUNDING SOURCES





0 216 356 214 26 241 169 235 167 26 212 58 62 55 8 73 37 37 37 3 34 47 45 45 6 65 18 16 16 5 56 14 11 11 2 27 15 14 14 2 28 9 9 9 3 39 11 11 11 5 510 7 6 6 4 411 7 6 6 1 112 11 10 10 0 013 10 10 10 5 514 10 8 8 4 4

17 7 6 6 4 4

19 0 0 0 0 00 0 0 0 02 3 2 0 0

663 858 640 110 102

ASIAN 1 4 1 0 0BLACK 4 5 4 1 1FILIPINO 0 0 0 0 0HISPANIC 526 679 508 84 78WHITE 94 121 90 16 15


TOTAL 663 858 640 110 102




TABLE 108B


158

MONO COUNTY



ALL FUNDING SOURCES





AMERICAN INDIAN 15 22 15 4 3

OTHER 10 12 10 3 3

UNKNOWN 12 14 11 1 1

14 282 163 159 19 1815 338 174 169 36 36

17 181 100 97 24 24

19 0 0 0 0 020UNKNOWNTOTAL


TABLE 109



159

A


MONTEREY COUNTY



ALL FUNDING SOURCES





0 4,511 5,098 4,225 560 5281 1,566 1,562 1,278 218 2062 942 694 653 94 923 803 617 615 81 814 962 678 665 94 935 677 460 449 51 516 517 386 375 44 427 335 229 225 39 388 333 220 219 47 469 290 182 182 28 2810 266 174 172 33 3311 357 195 191 34 3312 429 225 223 44 4413 343 179 176 35 35

16 220 116 116 22 22

18 75 50 48 9 9

4 3 3 0 021 20 19 2 2

13,452 11,525 10,259 1,514 1,461

BLACK 71 54 50 8 8FILIPINO 16 16 14 6 5HISPANIC 12,387 10,714 9,541 1,383 1,341WHITE 303 269 237 34 30OTHER 292 244 217 36 34PACIFIC ISLANDER 26 13 10 1 1




TABLE 109B


160

MONTEREY COUNTY



ALL FUNDING SOURCES






6104

359

352

016

015

UNKNOWN 247 153 135 30 27

TOTAL 13,452 11,525 10,259 1,514 1,461

15 87 76 74 23 2216 98 92 89 33 31

18 26 22 22 9 9

20 12 11 7 1 1UNKNOWN

TOTAL

TABLE 110




161

A


ALL FUNDING SOURCES

NAPA COUNTY


CHILDR


EN SCREENED FOR HEALTH ASSESSMENTS AND COUNT FOR RISK REDUCEDBY AGE





0 1,816 2,825 1,797 368 3341 815 1,338 779 213 1882 479 511 423 96 883 345 315 309 68 684 371 326 322 59 585 196 167 162 29 296 167 144 144 33 337 109 93 89 26 268 72 58 56 12 129 98 86 84 31 3010 99 81 81 17 1711 96 82 81 21 2112 103 96 89 20 191314

98110

8491

8390

1716

1716

17 61 62 59 14 13

19 4 5 4 0 0

5 10 4 2 1

5,267 6,575 4,848 1,108 1,033

BLACK 41 52 41 7 7FILIPINO 11 12 11 0 0HISPANIC 3,433 4,292 3,157 795 739WHITE 472 566 437 99 94OTHER 1,199 1,540 1,098 171 157PACIFIC ISLANDER 3 3 3 1 1




TABLE 110B


ALL FUNDING SOURCES

162

NAPA COUNTY


CHILDR


EN SCREENED FOR HEALTH ASSESSMENTS AND COUNT FOR RISK REDUCEDBY ETHNICITY






1117

1421

1017

34

34

UNKNOWN 80 75 74 28 28

TOTAL 5,267 6,575 4,848 1,108 1,033

14 25 23 22 8 715 41 36 36 12 12

17 19 14 14 3 3

19 0 0 0 0 020UNKNOWN

TOTAL 2,030 2,338 1,839 208 188

TABLE 111




163

A


ALL FUNDING SOURCES

NEVADA COUNTY


CHILDR







0 781 1,080 761 85 741 385 503 363 44 372 179 157 142 14 143 131 113 110 8 84 139 127 119 9 95 83 75 71 1 16 29 16 16 3 37 33 25 24 2 28 16 13 13 4 49 24 20 20 3 310 21 17 17 1 111 21 20 20 1 112 28 27 25 1 113 29 27 25 5 4

16 29 29 26 3 3

18 11 9 9 0 0

2 3 2 1 14 4 4 0 0

ASIAN 4 5 3 0 0BLACK 15 13 13 2 2FILIPINO 1 1 1 1 1HISPANIC 369 447 330 40 39WHITE 1,314 1,486 1,213 120 107OTHER 146 193 134 28 23

UNKNOWN 176 189 141 16 15

TOTAL 2,030 2,338 1,839 208 188




NEVADA COUNTY


ALL FUNDING SOURCES

164

TABLE 111B

CHILDR









14 3,567 3,189 3,121 723 711

16 2,555 2,290 2,226 508 498

18 1,199 1,099 1,071 191 1851920UNKNOWN

TOTAL 144,241 149,582 123,864 23,417 22,039




165

ORANGE COUNTY


ALL FUNDING SOURCES

TABLE 112A

CHILDR







0 39,052 50,911 35,168 6,462 5,7291 21,289 26,096 18,927 3,880 3,4572 12,466 10,775 9,678 1,546 1,4913 8,902 7,635 7,368 1,147 1,1214 10,685 8,639 8,280 1,230 1,2105 7,141 6,050 5,883 1,002 9866 5,958 5,263 5,123 973 9607 3,831 3,299 3,231 631 6248 3,577 3,175 3,104 620 6119 3,392 2,940 2,881 623 62110 3,508 3,048 2,984 647 6421112

3,7923,762

3,2943,249

3,2283,178

691685

686676

13 3,327 2,905 2,847 647 636

15 3,141 2,833 2,769 645 640

17 2,037 1,855 1,801 407 399

337 318 311 61 61706 694 668 97 94

17 25 17 1 1

ASIAN 11,965 11,332 9,669 1,441 1,356BLACK 1,138 1,083 964 189 182FILIPINO 498 509 430 84 82HISPANIC 110,682 116,255 95,957 18,828 17,693WHITE 6,561 6,576 5,627 1,088 1,042OTHER 7,921 8,268 6,750 768 728

UNKNOWN 5,212 5,292 4,243 968 907

TOTAL 144,241 149,582 123,864 23,417 22,039




ORANGE COUNTY


ALL FUNDING SOURCES


166

TABLE 112B

CHILDR









14 119 102 98 31 3015 98 80 75 33 30

17 84 77 67 28 25

19 5 4 3 4 320UNKNOWN

TOTAL 6,527 7,916 5,790 1,679 1,493




167

PLACER COUNTY


ALL FUNDING SOURCES

TABLE 113A

CHILDR







0 2,081 3,243 2,041 564 4651 1,150 1,796 1,067 383 3252 661 633 540 132 1243 452 380 369 75 744 485 432 404 82 775 289 248 230 46 426 199 178 172 45 447 132 122 117 34 348 96 84 81 35 349 108 92 90 26 2610 122 102 100 38 3811 113 89 87 30 301213

115113

8686

8386

2528

2428

16 79 61 60 31 31

18 24 19 18 8 8

1 1 1 1 11 1 1 0 0

AMERICAN INDIAN 3 4 2 0 0ASIAN 39 50 36 12 10BLACK 64 82 62 18 18FILIPINO 9 9 8 3 3HISPANIC 2,054 2,591 1,845 704 608

OTHER 2,042 2,671 1,879 298 265

UNKNOWN 517 516 419 120 114TOTAL




PLACER COUNTY


ALL FUNDING SOURCES

168

TABLE 113B

CHILDR







WHITE 1,791 1,979 1,531 524 475


6,527 7,916 5,790 1,679 1,493

13 11 10 10 4 414 21 18 18 2 2

16 16 14 14 2 2

18 3 3 3 0 01920UNKNOWNTOTAL 793 864 717 92 85




169

PLUMAS COUNTY


ALL FUNDING SOURCES

TABLE 114A

CHILDR







0 277 360 268 35 301 125 156 109 13 112 70 65 60 4 43 45 43 42 9 94 43 36 36 8 85 42 31 31 3 36 21 19 19 2 27 12 12 12 0 08 12 7 7 0 09 21 20 20 0 010 16 16 15 1 111 16 14 14 3 312 11 11 11 3 3

15 22 20 20 1 1

17 7 7 6 2 2

1 1 1 0 01 1 1 0 00 0 0 0 0

AMERICAN INDIAN 14 15 14 1 1ASIAN 10 12 9 1 1BLACK 42 51 36 2 2FILIPINO 3 3 3 0 0

WHITE 378 396 344 38 36

PACIFIC ISLANDER 1 1 1 1 1UNKNOWNTOTAL




TABLE 114B


170

PLUMAS COUNTY

CHILDR



ALL FUNDING SOURCES





HISPANIC 205 244 189 27 23

OTHER 79 82 70 13 12

61 60 51 9 9793 864 717 92 85

13 1,377 1,219 1,195 214 213

15 1,461 1,360 1,321 217 212

17 884 825 798 159 153181920UNKNOWN 42 51 41 8 8

TABLE 115

TOTAL 77,204 83,068 70,856 12,886 12,065




171

A


RIVERSIDE COUNTY

CHILDR



ALL FUNDING SOURCES





0 28,551 35,908 28,275 5,664 5,1751 9,855 12,405 9,087 2,027 1,7802 6,149 5,670 5,154 820 7883 4,614 4,025 3,890 518 5144 6,069 5,124 4,988 589 5845 4,122 3,579 3,484 468 4606 2,259 2,080 2,047 310 3097 1,608 1,503 1,472 249 2478 1,438 1,307 1,285 247 2459 1,331 1,218 1,199 207 2041011

1,3691,577

1,2501,403

1,2231,363

221226

218221

12 1,670 1,509 1,484 261 261

14 1,403 1,320 1,270 220 213

16 1,100 1,004 986 193 193

256 240 229 48 4733 32 32 12 1236 36 33 8 8

AMERICAN INDIAN 47 46 41 4 4ASIAN 483 499 436 85 81BLACK 3,406 3,631 3,168 702 659FILIPINO 165 162 139 18 17HISPANIC 59,510 63,943 54,491 9,735 9,085WHITE 9,001 9,856 8,400 1,668 1,582


TOTAL




TABLE 115B



172

RIVERSIDE COUNTY

CHILDR



ALL FUNDING SOURCES





OTHER 3,796 4,237 3,548 588 556

UNKNOWN 735 635 579 74 70

77,204 83,068 70,856 12,886 12,065

13 2,144 1,879 1,803 544 52914 2,215 1,989 1,907 595 580

16 1,754 1,560 1,491 562 548

18 773 667 640 259 2531920UNKNOWN

TABLE 116

TOTAL 90,095 97,679 80,134 18,456 17,343




173

A

BY AGE

SACRAMENTO COUNTY

CHILDR



EN SCREENED FOR HEALTH ASSESSMENTS AND COUNT FOR RISK REDUCED

ALL FUNDING SOURCES





0 25,789 32,521 25,122 4,882 4,4631 12,550 18,878 11,844 2,905 2,5232 7,765 7,772 6,367 1,295 1,2133 6,100 5,258 4,961 871 8494 6,511 5,491 5,209 906 8845 3,972 3,430 3,285 639 6256 3,274 2,993 2,871 609 5997 2,213 1,941 1,866 530 5138 1,951 1,741 1,680 492 4799 1,999 1,788 1,725 474 46110 2,017 1,806 1,745 510 5011112

2,2962,461

1,9802,136

1,9132,053

497593

488579

15 1,963 1,733 1,675 552 541

17 1,495 1,325 1,255 455 440

373 321 307 145 139380 354 327 115 112100 116 88 26 24

AMERICAN INDIAN 74 81 71 13 13ASIAN 9,886 10,487 8,693 1,811 1,703BLACK 8,264 8,931 7,612 1,308 1,250FILIPINO 214 241 197 30 27HISPANIC 20,469 23,415 18,675 3,482 3,287WHITE 12,135 12,100 10,096 3,239 3,008


TOTAL




TABLE 116B

BY ETHNICITY


174

SACRAMENTO COUNTY

CHILDR




ALL FUNDING SOURCES



ETHNICITY RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP

SERVICESHEALTH

ASSESSMENTSHEALTH

ASSESSMENTSINDICATING RISK

REDUCEDWITH RISKREDUCED

OTHER 27,742 31,080 25,080 6,226 5,844

UNKNOWN 11,143 11,148 9,551 2,310 2,178

90,095 97,679 80,134 18,456 17,343

13 38 29 28 4 414 34 27 27 5 5

16 18 14 14 0 0

18 8 7 7 2 21920UNKNOWN

TOTAL 2,148 2,153 1,782 309 287




175

SAN BENITO COUNTY

BY AGE

TABLE 117A

CHILDR




ALL FUNDING SOURCES





0 651 800 590 97 861 401 465 334 75 672 216 178 160 21 193 150 124 122 20 204 188 150 148 22 225 98 73 72 9 96 73 61 61 7 77 30 26 26 3 38 34 28 28 5 59 34 29 29 4 410 30 22 22 4 41112

3848

3038

3033

711

710

15 38 36 35 9 9

17 18 13 13 3 3

2 2 2 1 10 0 0 0 01 1 1 0 0

AMERICAN INDIAN 3 3 3 1 1ASIAN 11 11 10 0 0BLACK 14 17 13 4 3FILIPINO 5 5 5 0 0HISPANIC 1,611 1,593 1,313 202 191

OTHER 66 65 55 6 6

UNKNOWN 307 311 271 73 65

TOTAL




SAN BENITO COUNTY

BY ETHNICITY


176

TABLE 117B

CHILDR




ALL FUNDING SOURCES





WHITE 131 148 112 23 21


2,148 2,153 1,782 309 287

12 2,325 2,089 2,018 690 67813 2,064 1,862 1,790 621 604

15 2,002 1,881 1,819 627 615

17 1,331 1,257 1,206 443 432181920UNKNOWN 21 22 21 5 5

TOTAL 97,370 107,350 89,329 28,937 26,647




177

SAN BERNARDINO COUNTY

BY AGE

TABLE 118A

CHILDR




ALL FUNDING SOURCES





0 32,947 43,013 32,331 9,898 8,7981 11,955 15,940 11,214 4,696 3,9052 7,873 7,540 6,649 2,085 1,9463 6,233 5,562 5,252 1,386 1,3614 7,016 6,242 5,892 1,397 1,3615 4,908 4,556 4,348 1,157 1,1276 3,672 3,439 3,322 1,007 9867 2,328 2,181 2,105 760 7438 2,034 1,907 1,853 676 662910

1,9101,964

1,7781,819

1,7231,757

715641

703627

11 2,364 2,108 2,038 706 692

14 2,097 1,951 1,882 629 619

16 1,689 1,605 1,534 567 553

514 478 464 186 18571 68 65 29 2952 52 46 16 16

AMERICAN INDIAN 108 113 99 26 25ASIAN 1,148 1,275 1,055 306 278BLACK 7,482 8,060 6,902 2,142 2,010FILIPINO 174 193 157 42 40HISPANIC 65,297 71,871 59,802 18,781 17,272

OTHER 13,273 14,581 12,071 5,213 4,780

UNKNOWN 1,532 1,775 1,411 288 266

TOTAL




SAN BERNARDINO COUNTY

BY ETHNICITY


178

TABLE 118B

CHILDR




ALL FUNDING SOURCES





WHITE 8,198 9,315 7,683 2,091 1,931


97,370 107,350 89,329 28,937 26,647

12 2,828 2,572 2,296 756 672

14 2,643 2,491 2,234 744 662

16 1,778 1,649 1,491 506 45617181920 184 180 155 35 34UNKNOWN 104 118 93 20 18

TOTAL 127,457 143,771 113,110 31,066 27,464




179

SAN DIEGO COUNTY


TABLE 119A



ALL FUNDING SOURCES





0 38,849 51,985 37,240 10,709 9,2541 19,404 27,410 17,814 5,457 4,5352 11,562 11,171 9,560 2,100 1,9373 8,829 8,124 7,436 1,583 1,4654 10,035 8,936 8,174 1,688 1,5475 6,062 5,732 5,248 1,223 1,1206 5,184 5,049 4,640 1,128 1,0517 2,780 2,617 2,409 672 6258 2,504 2,328 2,123 627 5729 2,677 2,489 2,284 670 6251011

2,5203,049

2,3222,671

2,1512,422

631737

593680

13 2,424 2,206 1,957 644 575

15 2,218 2,069 1,862 640 575

1,368 1,260 1,163 387 366397 343 312 98 91

58 49 46 11 11

AMERICAN INDIAN 407 428 367 72 67ASIAN 2,578 2,866 2,288 449 407BLACK 6,289 6,702 5,440 1,479 1,345FILIPINO 1,411 1,523 1,255 311 288HISPANIC 79,571 89,405 70,356 22,423 19,673

OTHER 21,731 25,013 19,372 3,317 2,990

UNKNOWN 7,440 8,741 6,839 1,470 1,298

TOTAL




SAN DIEGO COUNTY



180

TABLE 119B



ALL FUNDING SOURCES



ETHNICITY RECEIVINGCHDP

TOTALHEALTH

RECEIVINGHEALTH


CHILDRENWITH RISK


WHITE 7,847 8,893 7,024 1,503 1,355


127,457 143,771 113,110 31,066 27,464

12 781 728 691 143 140

14 755 728 691 151 151

16 652 598 569 115 10917181920 98 125 94 25 21UNKNOWN

49 60 45 12 11

TOTAL 24,167 27,725 21,750 4,484 4,096




181

SAN FRANCISCO COUNTY


TABLE 120A



BY AGE

ALL FUNDING SOURCES





0 5,412 7,681 5,260 1,116 9811 3,192 5,230 2,999 771 6132 2,023 2,206 1,690 316 2833 1,490 1,425 1,261 226 2084 1,600 1,496 1,334 222 2145 1,132 1,062 977 162 1586 859 795 756 130 12578

691 615 588 114 112

9656707

611641

596616

118123

118120

1011

729822

670723

648700

134132

133131

13 782 726 695 146 145

15 699 631 607 125 125

636 611 583 134 129308 276 265 48 4894 87 85 21 21

AMERICAN INDIAN 35 37 33 6 6ASIAN 9,608 11,234 8,962 1,772 1,634BLACK 1,963 2,146 1,729 345 320FILIPINO 207 198 164 32 30

WHITE 732 822 651 53 50

PACIFIC ISLANDER 110 117 99 21 20UNKNOWN

TOTAL




TABLE 120BSAN FRANCISCO COUNTY



182



BY ETHNICITY

ALL FUNDING SOURCES



ETHNICITY RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDRENCHDP

SERVICESHEALTH

ASSESSMENTSHEALTH


REDUCEDWITH RISKREDUCED

HISPANIC 9,259 10,753 8,068 1,972 1,773

OTHER 1,076 1,178 977 176 160

1,177 1,240 1,067 107 103

24,167 27,725 21,750 4,484 4,096

11 1,416 1,146 1,099 291 28712 1,445 1,158 1,110 336 332

14 1,395 1,177 1,121 345 337

16 1,159 966 917 326 31717181920 121 120 111 40 39

TABLE 121

UNKNOWN 60 72 56 15 14

TOTAL 59,609 65,033 51,908 14,640 12,946




183

ASAN JOAQUIN COUNTY




BY AGE

ALL FUNDING SOURCES





0 17,890 23,091 17,102 4,515 3,8501 8,421 12,613 7,727 3,066 2,2442 5,234 5,201 4,303 1,063 9883 3,960 3,501 3,255 648 6344 4,600 4,120 3,762 654 6375 2,978 2,585 2,422 539 5236 1,884 1,694 1,632 440 4347 1,370 1,169 1,118 327 3218 1,243 1,036 1,017 317 311910

1,2921,210

1,0631,015

1,039977

303305

297298

13 1,384 1,142 1,089 400 394

15 1,277 1,108 1,035 324 311

804 659 637 223 218361 292 282 117 115105 105 97 46 45


AMERICAN INDIAN 66 59 54 11 11ASIAN 5,595 6,161 5,001 2,021 1,824BLACK 5,270 5,490 4,510 1,621 1,422FILIPINO 666 662 520 160 137

WHITE 6,024 6,413 5,193 1,600 1,421


TOTAL



TABLE 121BSAN JOAQUIN COUNTY



184



BY ETHNICITY

ALL FUNDING SOURCES




HISPANIC 30,245 33,350 26,353 7,010 6,121

OTHER 5,872 6,468 5,094 1,072 948

5,795 6,343 5,112 1,131 1,048

59,609 65,033 51,908 14,640 12,946

11 178 120 119 17 1612 135 93 91 10 10

14 145 110 105 16 16

16 108 88 84 13 1317181920 7 6 6 1 1

TABLE 122

UNKNOWN 17 20 16 1 1

TOTAL 8,821 10,427 7,653 1,043 954




185

A


SAN LUIS OBISPO COUNTY



BY AGE

ALL FUNDING SOURCES





0 2,713 4,224 2,624 413 3651 1,644 2,482 1,524 236 2012 916 913 763 92 893 618 532 521 45 454 652 533 523 41 405 390 279 267 27 276 337 285 282 24 247 161 129 127 20 208 138 105 105 10 10910

135146

105115

103109

1721

1721

13 165 124 122 17 16

15 129 97 97 14 14

65 49 48 5 518 15 14 2 2

4 3 3 1 1


AMERICAN INDIAN 7 5 5 0 0ASIAN 34 43 30 2 2BLACK 84 86 70 11 10FILIPINO 35 32 26 0 0

WHITE 2,956 3,582 2,589 374 338


TOTAL



TABLE 122B



186

SAN LUIS OBISPO COUNTY



BY ETHNICITY

ALL FUNDING SOURCES


TOTAL TOTAL *TOTAL

ETHNICITYCHILDREN CHILDREN HEALTH TOTAL

RECEIVINGCHDP

TOTALHEALTH

RECEIVINGHEALTH


CHILDRENWITH RISK

HISPANIC 4,703 5,497 4,077 555 508

OTHER 142 158 130 16 16

857 1,020 723 85 80

8,821 10,427 7,653 1,043 954

9 350 271 269 52 52

11 358 276 270 57 57

13 346 259 250 51 5114151617 222 162 159 47 4718 79 46 46 18 1819 10 8 8 2 220 36 39 32 7 7

TABLE 123

UNKNOWN 13 14 10 2 1TOTAL 20,666 22,954 17,517 2,982 2,747




187

ASAN MATEO COUNTY




ALL FUNDING SOURCES





0 6,728 9,651 6,523 1,112 9761 3,758 5,144 3,246 578 4972 2,004 1,773 1,514 190 1803 1,395 1,133 1,109 127 1264 1,405 1,129 1,115 116 1155 884 695 668 108 1056 583 458 452 76 767 407 329 323 54 548 322 252 247 63 63

10 357 298 293 61 61

12 352 274 266 55 55

449 316 300 83 82347 244 238 68 68261 183 179 55 54



HISPANIC 9,035 10,798 8,228 1,469 1,384

OTHER 4,956 5,782 4,237 494 434PACIFIC ISLANDERUNKNOWN

TOTAL 20,666 22,954 17,517 2,982 2,747



TABLE 123B


188

SAN MATEO COUNTY




ALL FUNDING SOURCES



ETHNICITY RECEIVINGCHDP

TOTALHEALTH

RECEIVINGHEALTH


CHILDRENWITH RISK

FILIPINO 437 389 314 76 71

WHITE 459 505 398 57 54

266 269 227 40 404,808 4,491 3,520 734 661

10 534 366 365 63 6311 704 391 387 45 45

13 535 296 289 48 46

15 444 275 272 50 5016171819 3 3 3 0 0

TABLE 124

20 10 9 8 1 1UNKNOWN 6 5 5 0 0

TOTAL 30,814 34,032 26,171 3,277 3,044




189

ASANTA BARBARA COUNTY




ALL FUNDING SOURCES





0 9,680 13,566 9,447 1,014 9091 5,436 8,184 5,127 721 6282 3,085 3,036 2,529 292 2713 2,340 2,059 2,025 232 2294 2,444 1,944 1,908 201 1995 1,138 800 774 82 816 1,045 889 869 100 1007 679 518 507 93 9089

468495

304347

301345

6060

6060

12 667 378 367 70 68

14 499 300 294 63 62

307 191 184 39 39223 134 128 38 38

72 37 37 5 5



HISPANIC 24,475 27,014 20,768 1,956 1,872

OTHER 361 351 271 46 45PACIFIC ISLANDERUNKNOWN

TOTAL 30,814 34,032 26,171 3,277 3,044



TABLE 124B


190

SANTA BARBARA COUNTY




ALL FUNDING SOURCES



ETHNICITY RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDREN

FILIPINO 69 48 41 5 5

WHITE 1,448 1,528 1,227 152 147

13 17 11 2 23,942 4,616 3,455 1,052 910

10 1,322 1,132 1,102 151 14811 1,457 1,258 1,222 188 182

14 1,238 1,107 1,066 153 15115161718 362 308 295 57 5719 169 159 153 31 30

TABLE 125

20 191 183 162 34 33UNKNOWN 104 117 92 12 11

TOTAL 64,353 73,392 57,158 6,021 5,671




191

A


SANTA CLARA COUNTY



ALL FUNDING SOURCES





0 17,307 24,028 16,765 1,653 1,5171 10,608 16,517 9,960 1,189 1,0372 6,234 6,529 5,214 455 4323 4,709 4,191 3,972 286 2814 5,051 4,397 4,102 303 2965 3,313 2,796 2,705 198 1956 2,294 1,989 1,932 192 1927 1,617 1,363 1,333 154 15489

1,3951,350

1,1791,166

1,1541,132

143142

142140

12 1,490 1,287 1,255 165 16413 1,259 1,110 1,075 138 136

1,152 1,021 976 137 134917 823 792 120 120814 732 699 120 119


AMERICAN INDIAN 114 125 101 17 17ASIAN 9,196 9,786 7,847 725 687BLACK 740 787 657 90 87

HISPANIC 36,683 43,212 33,050 3,376 3,191

OTHER 6,324 7,174 5,762 185 174PACIFIC ISLANDERUNKNOWN

TOTAL 64,353 73,392 57,158 6,021 5,671





192

TABLE 125BSANTA CLARA COUNTY



ALL FUNDING SOURCES


TOTALCHILDREN

TOTALCHILDREN

*TOTALHEALTH TOTAL

ETHNICITY RECEIVING TOTAL RECEIVING ASSESSMENTS CHILDREN

FILIPINO 548 653 489 87 81

WHITE 1,848 2,022 1,640 166 160

82 86 75 10 108,818 9,547 7,537 1,365 1,264

9 82 60 59 16 1610 106 77 71 25 23

12 112 85 76 14 12

14 109 87 78 23 2015161718 22 11 11 5 519 2 1 1 0 020 6 6 6 1 1UNKNOWN 4 4 4 2 2

TOTAL 4,092 3,885 3,302 677 636




193


TABLE 126ASANTA CRUZ COUNTY



ALL FUNDING SOURCES





0 1,541 1,861 1,463 254 2371 452 429 353 66 632 235 183 160 30 293 192 169 159 31 284 243 182 171 37 345 203 156 150 21 206 128 107 99 22 217 110 85 78 29 278 96 65 63 16 16

11 108 70 65 17 17

13 86 57 53 12 12

107 82 77 22 1982 57 55 14 1466 51 50 20 20



FILIPINO 14 10 10 1 1

WHITE 286 294 243 38 31OTHERPACIFIC ISLANDERUNKNOWN

TOTAL 4,092 3,885 3,302 677 636





194

TABLE 126BSANTA CRUZ COUNTY



ALL FUNDING SOURCES


TOTAL TOTAL *TOTAL

ETHNICITYCHILDREN

RECEIVING TOTALCHILDREN

RECEIVINGHEALTH

ASSESSMENTSTOTAL

CHILDREN

BLACK 15 12 12 3 3

HISPANIC 3,548 3,362 2,873 606 575

125 155 117 22 191 1 1 0 0

87 36 32 5 5

9 115 106 104 21 2110 101 96 96 18 18

12 139 135 133 21 21

14 161 142 139 28 2715161718 18 16 16 2 219 4 3 3 1 120 27 28 24 4 4UNKNOWN 16 18 15 1 1

TOTAL 8,733 10,256 8,224 1,134 1,071




195


TABLE 127ASHASTA COUNTY



ALL FUNDING SOURCES





0 3,060 4,104 2,957 373 3331 1,422 2,090 1,361 222 2062 825 852 761 96 933 673 636 626 72 714 685 650 627 58 585 368 329 323 35 3567

274121

259117

256115

3215

3215

8 91 85 84 20 20

11 130 116 116 16 16

13 132 127 124 23 23

160 150 150 34 34107 100 99 26 25104 97 95 16 15



FILIPINO 17 21 16 2 2

WHITE 5,936 7,111 5,662 735 703OTHERPACIFIC ISLANDERUNKNOWN

TOTAL 8,733 10,256 8,224 1,134 1,071





196

TABLE 127BSHASTA COUNTY



ALL FUNDING SOURCES


TOTAL TOTAL *TOTAL

ETHNICITYCHILDREN

RECEIVING TOTALCHILDREN

RECEIVINGHEALTH

ASSESSMENTSTOTAL

CHILDREN

BLACK 197 224 186 21 21

HISPANIC 910 1,105 876 103 97

98 106 88 6 68 8 8 0 0

944 973 820 148 135

9 3 3 3 0 010 8 8 8 6 6

12 1 1 1 0 0

14 4 4 4 1 115161718 1 1 1 0 019 0 0 0 0 020 0 0 0 0 0UNKNOWN 0 0 0 0 0

TOTAL 111 126 107 18 17




197


TABLE 128ASIERRA COUNTY



ALL FUNDING SOURCES





0 38 45 37 4 41 15 24 14 2 12 5 6 5 1 13 5 5 5 1 14 10 9 9 0 05 8 8 8 1 16 2 2 2 1 178

13

12

12

00

00

11 2 2 2 0 0

13 1 1 1 0 0

1 1 1 0 02 2 2 1 11 1 1 0 0




FILIPINO 0 0 0 0 0

WHITE 51 54 50 5 5OTHERPACIFIC ISLANDERUNKNOWN 7 9 7 0 0

TOTAL 111 126 107 18 17





198

ETHNICITY

TABLE 128BSIERRA COUNTY



ALL FUNDING SOURCES


TOTALCHILDREN

TOTALCHILDREN

*TOTALHEALTH TOTAL

BLACK 0 0 0 0 0

HISPANIC 38 45 36 7 7

9 9 8 3 31 1 1 1 1

9 34 31 31 8 810 28 26 25 9 9

12 56 45 45 10 10

14 57 54 52 11 1115161718 10 10 10 1 119 2 1 1 0 020 9 11 8 1 1UNKNOWN 5 4 4 0 0

TOTAL 2,376 2,710 2,076 396 366




199


TABLE129ASISKIYOU COUNTY




ALL FUNDING SOURCES





0 685 1,008 642 123 1051 408 584 363 76 672 245 228 196 40 383 191 166 164 22 224 156 142 138 18 185 135 103 100 15 146 78 67 67 14 1478

3734

3329

3329

89

89

11 30 23 23 9 9

13 43 37 37 6 6

64 51 51 9 942 36 36 5 527 21 21 2 2




BLACK 48 53 43 1 1

HISPANIC 317 350 270 21 19WHITEOTHERPACIFIC ISLANDERUNKNOWN 486 557 423 191 172

TOTAL 2,376 2,710 2,076 396 366





200

ETHNICITY

TABLE129BSISKIYOU COUNTY




ALL FUNDING SOURCES


TOTALCHILDREN

TOTALCHILDREN

*TOTALHEALTH TOTAL

ASIAN 25 27 20 0 0

FILIPINO 3 3 3 0 0

1,326 1,507 1,158 165 15686 120 82 4 4

8 9 8 0 0

8 272 217 211 40 409 237 186 184 24 23

11 269 227 219 32 31

13 248 202 192 42 4114151617 139 110 107 14 1418 45 34 32 6 619 19 15 15 4 420 23 20 17 5 5UNKNOWN 16 19 15 3 3

TOTAL 14,985 16,630 12,987 1,931 1,772




201


TABLE 130ASOLANO COUNTY




ALL FUNDING SOURCES





0 4,752 6,524 4,548 741 6571 2,591 3,661 2,378 438 3832 1,408 1,386 1,164 143 1353 1,160 968 937 91 884 1,175 937 906 92 9056

678492

494437

484419

5147

5045

7 277 224 219 32 31

10 234 196 190 25 25

12 314 248 241 28 28

243 198 193 25 25228 191 185 26 26165 136 131 22 22




BLACK 2,438 2,477 2,025 319 297

HISPANIC 6,135 7,157 5,465 946 866WHITEOTHERPACIFIC ISLANDERUNKNOWN 104 93 80 17 16

TOTAL 14,985 16,630 12,987 1,931 1,772





202

ETHNICITY

TABLE 130BSOLANO COUNTY




ALL FUNDING SOURCES


TOTAL TOTAL *TOTAL

ASIAN 279 309 229 27 25

FILIPINO 304 332 272 52 47

2,314 2,603 2,042 325 2973,337 3,577 2,809 235 214

60 63 51 8 8

7 283 247 239 58 56

9 224 177 173 33 33

11 214 178 172 40 4012131415 171 156 151 46 4616 150 138 138 40 4017 111 90 88 11 1118 48 40 39 7 719 6 5 5 2 220 16 18 15 3 3

UNKNOWN 22 20 17 1 1TOTAL 14,077 16,835 12,659 2,153 2,021




203


TABLE 131ASONOMA COUNTY



ALL FUNDING SOURCES





0 4,594 6,986 4,471 698 6261 2,698 3,822 2,495 459 4112 1,341 1,315 1,133 175 1683 979 888 860 138 1374 1,083 929 896 125 1245 651 561 533 71 706 388 347 342 63 63

8 202 151 151 28 28

10 197 172 168 44 44

251 208 198 39 39222 192 185 41 41226 195 190 31 31




BLACK 128 140 121 20 20

HISPANIC 8,892 10,813 8,008 1,301 1,214WHITEOTHERPACIFIC ISLANDERUNKNOWN 2,707 3,247 2,382 447 417

TOTAL 14,077 16,835 12,659 2,153 2,021





204

ETHNICITY

TABLE 131BSONOMA COUNTY



ALL FUNDING SOURCES


TOTAL TOTAL *TOTAL

ASIAN 106 116 96 14 13

FILIPINO 12 14 11 1 1

1,629 1,882 1,503 272 261304 309 264 44 42

16 20 16 2 2

7 862 703 688 135 1348 682 537 524 107 104

10 722 565 556 122 120

12 851 623 599 126 12613141516 568 435 420 132 12917 403 309 304 93 9218 168 118 114 27 2719 22 16 16 7 720 31 25 24 5 5UNKNOWN 33 29 26 2 2

TOTAL 40,526 42,236 33,934 6,844 6,358




205


TABLE 132ASTANISLAUS COUNTY



ALL FUNDING SOURCES





0 12,479 16,267 11,714 2,322 2,0711 6,261 8,297 5,475 1,401 1,2202 3,778 3,409 2,918 520 4953 2,940 2,457 2,372 358 3574 3,498 2,786 2,677 377 3735 1,808 1,383 1,346 196 1956 1,539 1,363 1,323 217 213

9 769 601 589 120 120

11 812 614 599 143 141

765 567 547 164 160789 581 569 127 126746 551 534 143 141



ASIAN 862 874 774 121 112

FILIPINO 51 37 35 7 6HISPANICWHITEOTHERPACIFIC ISLANDER 77 81 66 9 9UNKNOWN 452 413 355 35 35

TOTAL 40,526 42,236 33,934 6,844 6,358





206

ETHNICITY

TABLE 132BSTANISLAUS COUNTY



ALL FUNDING SOURCES


TOTAL TOTAL *TOTAL


BLACK 1,262 1,171 996 253 240

27,143 28,839 22,829 4,589 4,2457,992 7,977 6,606 1,508 1,4152,583 2,746 2,186 303 279

6 140 121 120 14 14

8 52 36 36 3 3

10 49 39 39 8 811121314 60 48 46 4 415 50 39 38 5 516 38 32 32 4 417 28 18 17 2 218 5 2 2 0 019 5 7 4 0 020 10 10 10 3 3UNKNOWN 7 6 6 0 0TOTAL 4,940 5,585 4,279 641 549




207


TABLE 133ASUTTER COUNTY



ALL FUNDING SOURCES





0 1,608 2,187 1,569 250 2091 1,080 1,474 904 189 1442 569 501 415 48 433 380 347 341 44 434 388 341 333 25 255 142 110 109 10 10

7 96 76 76 9 9

9 53 41 41 4 4

71 66 60 6 661 43 43 7 748 41 38 6 6




ASIAN 419 496 350 31 25

FILIPINO 4 4 4 0 0HISPANICWHITEOTHERPACIFIC ISLANDER 5 5 5 2 2UNKNOWN 637 749 540 234 169

TOTAL 4,933 5,579 4,273 641 549





208

ETHNICITY

TABLE 133BSUTTER COUNTY



ALL FUNDING SOURCES



BLACK 102 113 92 3 3

2,059 2,299 1,776 201 1851,349 1,491 1,187 135 130

338 399 300 31 31

7 64 57 57 5 58 42 38 38 10 10

10 55 51 49 10 10

12 53 50 50 10 1013141516 42 40 39 8 817 36 35 35 3 318 6 6 6 0 019 1 1 1 1 120 11 11 11 0 0UNKNOWN 36 34 33 4 4

TOTAL 4,678 4,565 4,280 668 662




209


TABLE 134ATEHAMA COUNTY



ALL FUNDING SOURCES





0 1,815 1,869 1,730 291 2871 806 833 728 131 1292 402 367 348 40 403 392 342 338 38 384 316 279 275 26 2656

154177

139164

135163

1922

1922

9 48 45 45 10 10

11 47 42 42 6 6

55 50 48 10 1058 54 54 9 962 58 55 15 15




ASIAN 13 12 12 1 1

FILIPINO 10 10 10 1 1HISPANICWHITEOTHERPACIFIC ISLANDER 5 5 5 0 0UNKNOWN 1,592 1,437 1,424 210 210

TOTAL 4,678 4,565 4,280 668 662





210

ETHNICITY

TABLE 134BTEHAMA COUNTY



ALL FUNDING SOURCES



BLACK 57 56 51 16 16

1,501 1,552 1,394 244 2401,333 1,322 1,232 171 169

114 119 101 17 17

7 10 9 9 1 18 9 7 7 2 2

10 8 8 8 2 2

12 12 12 12 4 413141516 6 4 4 1 117 9 9 9 1 118 0 0 0 0 019 1 1 1 0 020 0 0 0 0 0UNKNOWN 1 1 1 0 0

TOTAL 516 566 478 90 89




211

TABLE 135ATRINITY COUNTY




ALL FUNDING SOURCES





0 161 211 158 28 271 82 101 74 12 122 41 42 36 6 63 31 30 29 11 114 36 36 35 4 456

2727

2424

2424

25

25

9 7 5 5 0 0

11 8 8 8 2 2

13 12 12 3 314 14 14 4 413 8 8 2 2



AMERICAN INDIAN 12 12 12 0 0ASIANBLACKFILIPINOHISPANIC 92 105 88 14 14WHITE 368 404 342 68 67OTHER 10 10 8 2 2PACIFIC ISLANDER 0 0 0 0 0UNKNOWN 19 21 17 5 5TOTAL 516 566 478 90 89





212

ETHNICITY

TABLE 135BTRINITY COUNTY



ALL FUNDING SOURCES



5 1 1 0 08 9 8 1 12 4 2 0 0

6 2,050 1,878 1,846 219 2187 1,184 1,060 1,043 110 109

9 958 846 833 102 100

11 1,043 935 915 111 11112131415 954 849 829 111 10816 711 646 636 56 5617 591 539 527 65 6518 158 134 130 15 1419 12 8 8 1 120 93 94 77 12 11UNKNOWN 134 132 109 19 19

TOTAL 50,415 56,319 44,597 6,384 5,924




213

TABLE 136ATULARE COUNTY




ALL FUNDING SOURCES





0 14,308 19,503 13,648 2,348 2,0901 7,752 11,452 7,075 1,305 1,1512 5,220 4,942 4,091 533 51134

3,6994,031

3,1703,422

3,0243,258

299338

293334

5 2,539 2,217 2,153 222 220

8 937 848 829 88 88

10 897 805 781 106 103

1,053 945 935 110 109975 882 862 111 110

1,116 1,012 988 103 103





BLACK 540 523 459 63 63FILIPINOHISPANICWHITEOTHER 2,690 3,169 2,402 427 394PACIFIC ISLANDER 43 44 41 7 6UNKNOWN 1,776 1,855 1,463 168 157

TOTAL 50,415 56,319 44,597 6,384 5,924




214

ETHNICITY

TABLE 136BTULARE COUNTY




ALL FUNDING SOURCES


ASIAN 682 752 594 132 120

150 183 143 16 1639,463 44,202 35,024 4,891 4,529

4,931 5,459 4,353 663 623

5 49 46 45 7 7

7 16 15 15 3 3

9 19 18 18 6 610111213 28 25 25 10 1014 23 23 23 9 915 19 20 19 5 516 11 11 11 4 417 8 9 8 4 418 6 6 6 2 219 1 1 1 0 020 6 7 6 1 1UNKNOWN 4 4 4 2 2

TOTAL 1,182 1,333 1,105 281 258




215

TUOLUMNE COUNTYTABLE 137A




ALL FUNDING SOURCES





0 386 521 375 110 941 186 237 178 39 372 120 117 106 25 223 80 67 64 8 84 83 83 80 11 11

6 47 41 41 10 10

8 19 17 16 9 8

15 13 13 2 229 29 28 9 827 23 23 5 5





BLACK 11 12 11 2 2FILIPINOHISPANICWHITEOTHER 37 36 35 9 9PACIFIC ISLANDER 0 0 0 0 0UNKNOWN 38 36 29 9 8

TOTAL 1,182 1,333 1,105 281 258

TUOLUMNE COUNTY




216

ETHNICITY

TABLE 137B




ALL FUNDING SOURCES


ASIAN 2 2 2 0 0

1 1 1 0 0165 184 149 32 30912 1,044 864 224 204

5 1,814 1,372 1,334 221 2186 969 757 743 144 143

8 664 500 495 144 144

10 682 486 473 134 12611121314 689 451 445 127 12615 589 399 391 99 9916 407 290 281 92 9017 353 254 247 69 6618 130 83 81 24 2319 12 9 9 2 220 33 27 27 9 9UNKNOWN 23 19 18 1 1

TOTAL 38,857 44,872 32,345 8,045 7,161




217

VENTURA COUNTYTABLE 138A




ALL FUNDING SOURCES





0 11,470 18,311 10,982 2,832 2,3921 6,830 10,374 6,094 1,831 1,4852 4,442 4,013 3,392 770 7203 2,825 2,371 2,302 464 4514 3,364 2,714 2,612 462 450

7 771 568 562 140 138

9 629 456 455 140 139

767 527 520 133 132734 467 464 106 106660 424 418 101 101




ASIAN 142 145 114 33 31BLACKFILIPINOHISPANICWHITE 2,644 2,818 2,157 397 378OTHER 1,183 1,387 987 182 168PACIFIC ISLANDER 35 32 28 4 4UNKNOWN 972 1,288 829 189 164

TOTAL 38,857 44,872 32,345 8,045 7,161

VENTURA COUNTY




218

ETHNICITY

TABLE 138B




ALL FUNDING SOURCES



342 343 283 70 65108 98 74 25 21

33,401 38,730 27,846 7,139 6,324

5 446 343 331 43 406 311 252 249 41 41

8 165 120 119 23 22

10 208 161 155 35 3511121314 183 145 140 42 4015 172 120 115 30 3016 122 91 90 26 2617 118 86 83 25 2518 41 25 24 8 719 19 13 13 7 720 23 16 15 4 4UNKNOWN 23 28 19 4 3

TOTAL 10,182 10,186 8,138 1,361 1,239




219

YOLO COUNTYTABLE 139A




ALL FUNDING SOURCES





0 2,906 3,857 2,719 382 3181 1,648 2,104 1,426 262 2292 1,031 814 712 93 8734

823855

595606

574578

8972

8470

7 197 162 155 29 29

9 198 150 144 32 32

225 166 158 24 23257 180 172 41 39211 152 147 49 48



ASIAN 209 221 168 38 33BLACKFILIPINOHISPANICWHITE 1,796 1,800 1,471 232 218OTHER 2,138 2,173 1,704 351 304PACIFIC ISLANDER 28 21 17 4 4UNKNOWN 121 109 83 21 21

TOTAL 10,182 10,186 8,138 1,361 1,239

YOLO COUNTY




220

ETHNICITY

TABLE 139B




ALL FUNDING SOURCES




208 192 166 30 2816 13 9 2 2

5,651 5,642 4,509 680 626

4 320 285 276 34 345 174 142 142 23 23

7 61 53 52 13 13

9 67 58 58 24 2410111213 54 49 47 13 1314 61 55 54 14 14

TABLE 140

15 42 40 39 9 916 31 25 25 4 417 20 18 17 6 618 5 5 5 1 119 7 9 7 2 220 18 17 16 4 4UNKNOWN 13 13 11 2 2TOTAL 4,275 4,649 3,650 684 634




221

AYUBA COUNTY




ALL FUNDING SOURCES





0 1,310 1,785 1,270 208 1891 840 1,036 657 153 1262 541 450 377 56 533 349 309 304 47 47

6 125 113 108 17 16

8 51 41 40 9 9

49 41 41 8 862 51 51 14 1475 54 53 23 23



ASIAN 284 316 238 41 38BLACKFILIPINOHISPANICWHITE 1,606 1,764 1,397 243 231OTHER 197 225 174 23 21PACIFIC ISLANDER 4 3 3 0 0UNKNOWN 479 462 360 101 86

TOTAL 4,262 4,636 3,639 682 632

TABLE 140BYUBA COUNTY




222

ETHNICITY




ALL FUNDING SOURCES




130 135 112 21 2011 12 11 0 0

1,527 1,694 1,321 246 229

4 9 10 9 2 2

6 3 3 3 0 0

8 2 2 2 0 09101112 4 3 3 1 113 5 5 5 0 0

TABLE 141

14 2 2 2 1 115 4 2 2 0 016 3 1 1 1 117 0 0 0 0 018 0 0 0 0 019 0 0 0 0 020 0 0 0 0 0UNKNOWN 1 1 1 0 0TOTAL 121 133 108 13 12




223

ACITY OF BERKELEY




ALL FUNDING SOURCES





0 43 61 40 5 41 14 15 13 0 02 7 7 6 1 13 8 6 6 1 1

5 7 6 6 0 0

7 1 1 1 0 0

3 3 3 0 02 2 2 0 03 3 3 1 1




AMERICAN INDIAN 1 1 1 0 0ASIANBLACKFILIPINOHISPANIC 45 54 40 6 5WHITE 4 2 2 0 0OTHER 0 0 0 0 0PACIFIC ISLANDER 0 0 0 0 0UNKNOWN 56 60 51 3 3

TOTAL 120 132 107 13 12

TABLE 141B




224


ETHNICITY

CITY OF BERKELEY




ALL FUNDING SOURCES


1 0 0 0 013 15 13 4 4

0 0 0 0 0

4 1,786 1,616 1,487 311 2715 984 641 606 148 141

7 575 458 430 144 135

9 601 461 440 136 13110111213 607 442 421 121 113

TABLE 142

14 653 497 470 149 13615 526 377 365 118 11516 435 333 312 109 10117 300 221 207 75 7118 138 116 109 50 4719 51 44 43 16 1620 61 54 52 16 15UNKNOWN 17 16 14 0 0

TOTAL 23,642 26,439 20,420 5,467 4,693




225

ACITY OF LONG BEACH




ALL FUNDING SOURCES





0 6,890 9,385 6,779 1,545 1,33712

2,9612,006

5,1592,319

2,8471,831

943472

663404

3 1,589 1,540 1,408 312 265

6 1,002 873 827 201 189

8 532 393 372 147 130

558 395 372 122 112710 565 532 160 146660 534 496 172 155



AMERICAN INDIAN 23 22 19 7 5ASIANBLACKFILIPINOHISPANIC 15,227 16,883 13,071 2,795 2,444WHITE 598 645 513 149 126OTHER 485 548 433 71 59PACIFIC ISLANDER 250 229 204 80 76UNKNOWN 2,056 3,098 1,965 1,028 763

TOTAL 23,642 26,439 20,420 5,467 4,693

TABLE 142BCITY OF LONG BEACH




226

ETHNICITY




ALL FUNDING SOURCES



1,485 1,571 1,312 265 2313,318 3,255 2,752 1,041 961

200 188 151 31 28

4 416 331 329 36 365 204 153 153 17 17

7 131 114 111 22 21

9 130 116 113 21 2010111213 125 102 100 32 32

TABLE 143

14 129 96 96 32 3215 124 112 107 31 3116 75 64 63 19 1917 77 70 67 15 1518 22 21 19 2 219 3 3 3 0 020 4 4 4 0 0UNKNOWN 2 2 2 0 0TOTAL 5,005 5,423 4,348 649 637




227

ACITY OF PASADENA




ALL FUNDING SOURCES





0 1,293 1,789 1,229 115 1091 668 1,042 624 101 9923

459340

461296

395292

4428

4328

6 251 222 222 31 31

8 130 108 106 26 26

108 84 83 20 19163 124 122 26 26151 109 108 31 31




AMERICAN INDIAN 4 6 4 0 0ASIANBLACKFILIPINO

TABLE 143B

HISPANIC 2,442 2,626 2,135 276 273WHITE 167 145 136 13 13OTHER 1,411 1,708 1,271 227 221PACIFIC ISLANDER 4 2 2 1 1UNKNOWN 54 73 48 11 10

TOTAL 5,005 5,423 4,348 649 637




228


ETHNICITY

CITY OF PASADENA




ALL FUNDING SOURCES


44 34 34 10 10846 800 692 102 101

33 29 26 9 8

TABLE144




ANSWERS TO TOBACCO QUESTIONS BY AGE

ALL FUNDING SOURCES


AGE

FREQUENCY AND PERCENT OF TOTAL RESPONSES TO:

EXPOSURE TO PASSIVE TOBACCO SMOKE TOBACCO USED BY CHILDREN COUNSELED/REFERRED FOR TOBACCO PREVENTION

YES NO UNKNOWN TOTAL YES NO UNKNOWN TOTAL YES NO UNKNOWN TOTAL

026,261 559,151 5,106 590,518 447 585,032 5,039 590,518 488,998 95,742 5,778 590,518

1.29% 27.43% 0.25% 28.96% 0.02% 28.69% 0.25% 28.96% 23.98% 4.70% 0.28% 28.96%

112,692 272,113 6,170 290,975 237 284,608 6,130 290,975 234,745 49,684 6,546 290,975

0.62% 13.35% 0.30% 14.27% 0.01% 13.96% 0.30% 14.27% 11.51% 2.44% 0.32% 14.27%

28,049 172,356 5,478 185,883 157 180,272 5,454 185,883 148,705 31,495 5,683 185,883

0.39% 8.45% 0.27% 9.12% 0.01% 8.84% 0.27% 9.12% 7.29% 1.54% 0.28% 9.12%

36,093 128,570 3,787 138,450 123 134574 3753 138450 111900 22626 3924 138450

0.30% 6.31% 0.19% 6.79% 0.01% 6.60% 0.18% 6.79% 5.49% 1.11% 0.19% 6.79%

47,240 145,729 4,949 157,918 115 152,896 4,907 157,918 127,945 24,885 5,088 157,918

0.36% 7.15% 0.24% 7.75% 0.01% 7.50% 0.24% 7.75% 6.28% 1.22% 0.25% 7.75%

54,942 91,946 3,311 100,199 85 96,839 3,275 100,199 81,476 15,328 3,395 100,199

0.24% 4.51% 0.16% 4.91% 0.00% 4.75% 0.16% 4.91% 4.00% 0.75% 0.17% 4.91%

64,095 69,990 1,528 75,613 72 74,043 1,498 75,613 62,832 11,177 1,604 75,613

0.20% 3.43% 0.07% 3.71% 0.00% 3.63% 0.07% 3.71% 3.08% 0.55% 0.08% 3.71%

72,665 45,946 1,224 49,835 51 48,582 1,202 49,835 41,422 7,172 1,241 49,835

0.13% 2.25% 0.06% 2.44% 0.00% 2.38% 0.06% 2.44% 2.03% 0.35% 0.06% 2.44%

82,378 40,822 1,076 44,276 40 43,179 1,057 44,276 36,868 6,315 1,093 44,276

0.12% 2.00% 0.05% 2.17% 0.00% 2.12% 0.05% 2.17% 1.81% 0.31% 0.05% 2.17%

92,436 40,536 1,019 43,991 50 42,941 1,000 43,991 36,535 6,410 1,046 43,991

0.12% 1.99% 0.05% 2.16% 0.00% 2.11% 0.05% 2.16% 1.79% 0.31% 0.05% 2.16%

102,381 40,740 1,007 44,128 54 43,080 994 44,128 36,743 6,332 1,053 44,128

0.12% 2.00% 0.05% 2.16% 0.00% 2.11% 0.05% 2.16% 1.80% 0.31% 0.05% 2.16%

112,824 46,844 1,396 51,064 65 49,612 1,387 51,064 42,622 6,998 1,444 51,064

0.14% 2.30% 0.07% 2.50% 0.00% 2.43% 0.07% 2.50% 2.09% 0.34% 0.07% 2.50%

122,770 44,979 1,451 49,200 78 47,681 1,441 49,200 40,674 7,026 1,500 49,200

0.14% 2.21% 0.07% 2.41% 0.00% 2.34% 0.07% 2.41% 1.99% 0.34% 0.07% 2.41%

132,679 40,697 1,269 44,645 107 43,276 1,262 44,645 37,085 6,246 1,314 44,645

0.13% 2.00% 0.06% 2.19% 0.01% 2.12% 0.06% 2.19% 1.82% 0.31% 0.06% 2.19%

142,888 42,441 1,156 46,485 214 45,112 1,159 46,485 38,811 6,466 1,208 46,485

0.14% 2.08% 0.06% 2.28% 0.01% 2.21% 0.06% 2.28% 1.90% 0.32% 0.06% 2.28%

152,840 37,841 1,132 41,813 379 40,314 1,120 41,813 34,789 5,851 1,173 41,813

0.14% 1.86% 0.06% 2.05% 0.02% 1.98% 0.05% 2.05% 1.71% 0.29% 0.06% 2.05%

162,349 30,955 971 34,275 475 32,841 959 34,275 28,365 4,914 996 34,275

0.12% 1.52% 0.05% 1.68% 0.02% 1.61% 0.05% 1.68% 1.39% 0.24% 0.05% 1.68%

172,043 25,077 810 27,930 554 26,578 798 27,930 23,061 4,037 832 27,930

0.10% 1.23% 0.04% 1.37% 0.03% 1.30% 0.04% 1.37% 1.13% 0.20% 0.04% 1.37%

18815 11,833 326 12,974 271 12,378 325 12,974 10,916 1,720 338 12,974

0.04% 0.58% 0.02% 0.64% 0.01% 0.61% 0.02% 0.64% 0.54% 0.08% 0.02% 0.64%

19235 2,225 33 2,493 89 2,372 32 2,493 1,961 500 32 2,493

0.01% 0.11% 0.00% 0.12% 0.00% 0.12% 0.00% 0.12% 0.10% 0.02% 0.00% 0.12%

20292 3,620 75 3,987 84 3,825 78 3,987 3,079 821 87 3,987

0.01% 0.18% 0.00% 0.20% 0.00% 0.19% 0.00% 0.20% 0.15% 0.04% 0.00% 0.20%

UNKNOWN86 2,061 34 2,181 9 2,139 33 2,181 1,764 382 35 2,181

0.00% 0.10% 0.00% 0.11% 0.00% 0.10% 0.00% 0.11% 0.09% 0.02% 0.00% 0.11%

TOTAL99,053 1,896,472 43,308 2,038,833 3,756 1,992,174 42,903 2,038,833 1,671,296 322,127 45,410 2,038,833

4.86% 93.02% 2.12% 100.00% 0.18% 97.71% 2.10% 100.00% 81.97% 15.80% 2.23% 100.00%


229

TABLE 145




ANSWERS TO TOBACCO QUESTIONS BY ETHNICITY

ALL FUNDING SOURCES


ETHNICITY

FREQUENCY AND PERCENT OF RESPONSES TO:

EXPOSURE TO PASSIVE TOBACCO SMOKE TOBACCO USED BY CHILDREN COUNSELED/REFERRED FOR TOBACCO PREVENTION

YES NO UNKNOWN TOTAL YES NO UNKNOWN TOTAL YES NO UNKNOWN TOTAL

AMERICAN INDIAN710 4,224 141 5,075 41 4,900 134 5,075 3,489 1,423 163 5,075

0.03% 0.21% 0.01% 0.25% 0.00% 0.24% 0.01% 0.25% 0.17% 0.07% 0.01% 0.25%

ASIAN7,386 85,327 2,291 95,004 160 92,558 2,286 95,004 63,965 28,674 2,365 95,004

0.36% 4.19% 0.11% 4.66% 0.01% 4.54% 0.11% 4.66% 3.14% 1.41% 0.12% 4.66%

BLACK11,287 101,257 2,086 114,630 317 112,254 2,059 114,630 95,750 16,697 2,183 114,630

0.55% 4.97% 0.10% 5.62% 0.02% 5.51% 0.10% 5.62% 4.70% 0.82% 0.11% 5.62%

FILIPINO656 9,438 309 10,403 17 10,078 308 10,403 8,158 1,927 318 10,403

0.03% 0.46% 0.02% 0.51% 0.00% 0.49% 0.02% 0.51% 0.40% 0.09% 0.02% 0.51%

HISPANIC44,414 1,295,077 21,515 1,361,006 1,672 1,337,950 21,384 1,361,006 1,184,025 154,758 22,223 1,361,006

2.18% 63.52% 1.06% 66.75% 0.08% 65.62% 1.05% 66.75% 58.07% 7.59% 1.09% 66.75%

WHITE19,072 138,110 3,620 160,802 765 156,527 3,510 160,802 117,459 38,876 4,467 160,802

0.94% 6.77% 0.18% 7.89% 0.04% 7.68% 0.17% 7.89% 5.76% 1.91% 0.22% 7.89%

OTHER9,367 158,740 3,180 171,287 474 167,794 3,019 171,287 120,893 47,279 3,115 171,287

0.46% 7.79% 0.16% 8.40% 0.02% 8.23% 0.15% 8.40% 5.93% 2.32% 0.15% 8.40%

PACIFIC ISLANDER296 2,955 45 3,296 9 3243 44 3296 2666 580 50 3296

0.01% 0.14% 0.00% 0.16% 0.00% 0.16% 0.00% 0.16% 0.13% 0.03% 0.00% 0.16%

UNKNOWN5,865 101,344 10,121 117,330 301 106,870 10,159 117,330 74,891 31,913 10,526 117,330

0.29% 4.97% 0.50% 5.75% 0.01% 5.24% 0.50% 5.75% 3.67% 1.57% 0.52% 5.75%

TOTAL99,053 1,896,472 43,308 2,038,833 3,756 1,992,174 42,903 2,038,833 1,671,296 322,127 45,410 2,038,833

4.86% 93.02% 2.12% 100.00% 0.18% 97.71% 2.10% 100.00% 81.97% 15.80% 2.23% 100.00%


230

TABLE 146



ANSWERS TO TOBACCO QUESTIONS BY COUNTY

ALL FUNDING SOURCES


COUNTYFREQUENCY OF RESPONSES TO:

EXPOSURE TO PASSIVE TOBACCO SMOKE TOBACCO USED BY CHILDREN COUNSELED/REFERRED FOR TOBACCO PREVENTIONYES NO UNKNOWN TOTAL YES NO UNKNOWN TOTAL YES NO UNKNOWN TOTAL

ALAMEDA 4,634 52,930 447 58,011 434 57,458 119 58,011 624 14,036 43,351 58,011ALPINE 14 297 13 324 12 311 1 324 12 55 257 324AMADOR 145 1,006 16 1,167 16 1,144 7 1,167 20 243 904 1,167BUTTE 1,152 11,860 574 13,586 577 12,958 51 13,586 583 4,982 8,021 13,586CALAVERAS 202 2,497 51 2,750 50 2,689 11 2,750 53 474 2,223 2,750COLUSA 77 2,592 33 2,702 35 2,663 4 2,702 36 535 2,131 2,702CONTRA COSTA 1,317 23,699 184 25,200 198 24,844 158 25,200 235 7,996 16,969 25,200DEL NORTE 426 1,065 39 1,530 35 1,465 30 1,530 47 346 1,137 1,530EL DORADO 388 4,127 630 5,145 628 4,509 8 5,145 639 2,731 1,775 5,145FRESNO 4,338 99,631 9,697 113,666 9,635 103,768 263 113,666 9,684 5,506 98,476 113,666GLENN 188 1,583 80 1,851 80 1,769 2 1,851 87 913 851 1,851HUMBOLDT 498 5,203 235 5,936 234 5,674 28 5,936 286 127 5,523 5,936IMPERIAL 668 13,916 27 14,611 27 14,563 21 14,611 33 4,017 10,561 14,611INYO 43 771 8 822 8 809 5 822 8 415 399 822KERN 4,052 71,353 954 76,359 839 75,375 145 76,359 885 11,112 64,362 76,359KINGS 264 8,124 33 8,421 32 8,374 15 8,421 38 925 7,458 8,421LAKE 264 1,569 79 1,912 79 1,820 13 1,912 78 569 1,265 1,912LASSEN 235 1,005 40 1,280 39 1,211 30 1,280 48 458 774 1,280LOS ANGELES 16,375 606,420 8,605 631,400 8,528 622,262 610 631,400 8,884 29,189 593,327 631,400MADERA 604 12,657 85 13,346 85 13,243 18 13,346 90 4,079 9,177 13,346MARIN 61 3,419 257 3,737 257 3,477 3 3,737 258 322 3,157 3,737MARIPOSA 20 172 3 195 3 191 1 195 3 56 136 195MENDOCINO 226 3,773 132 4,131 127 3,990 14 4,131 135 259 3,737 4,131MERCED 1,135 20,350 515 22,000 513 21,451 36 22,000 518 901 20,581 22,000MODOC 37 328 16 381 20 355 6 381 28 236 117 381MONO 11 647 5 663 5 657 1 663 5 612 46 663MONTEREY 240 13,152 60 13,452 60 13,370 22 13,452 78 2,789 10,585 13,452NAPA 338 4,919 10 5,267 10 5,246 11 5,267 12 2,732 2,523 5,267NEVADA 133 1,800 97 2,030 97 1,908 25 2,030 104 1,523 403 2,030ORANGE 8,530 134,176 1,535 144,241 1,546 142,458 237 144,241 1,536 35,418 107,287 144,241PLACER 383 6,014 130 6,527 130 6,366 31 6,527 132 4,056 2,339 6,527PLUMAS 118 660 15 793 13 759 21 793 21 172 600 793RIVERSIDE 4,750 71,487 967 77,204 969 76,089 146 77,204 981 7,881 68,342 77,204SACRAMENTO 6,302 83,099 694 90,095 656 89,088 351 90,095 721 39,485 49,889 90,095

(CONTINUED)

231




ANSWERS TO TOBACCO QUESTIONS BY COUNTY

ALL FUNDING SOURCES


COUNTYFREQUENCY OF RESPONSES TO:

EXPOSURE TO PASSIVE TOBACCO SMOKE TOBACCO USED BY CHILDREN COUNSELED/REFERRED FOR TOBACCO PREVENTIONYES NO UNKNOWN TOTAL YES NO UNKNOWN TOTAL YES NO UNKNOWN TOTAL

SAN BENITO 38 2,088 22 2,148 22 2,119 7 2,148 23 1,525 600 2,148SAN BERNARDINO 5,955 90,354 1,061 97,370 1,060 96,148 162 97,370 1,066 7,198 89,106 97,370SAN DIEGO 4,373 121,070 2,014 127,457 2,013 125,259 185 127,457 2,110 27,266 98,081 127,457SAN FRANCISCO 1,688 22,145 334 24,167 336 23,729 102 24,167 370 12,154 11,643 24,167SAN JOAQUIN 11,012 45,496 3,101 59,609 3,102 56,446 61 59,609 3,134 14,755 41,720 59,609SAN LUIS OBISPO 284 7,899 638 8,821 638 8,172 11 8,821 644 1,325 6,852 8,821SAN MATEO 838 18,389 1,439 20,666 1,439 19,193 34 20,666 1,452 6,029 13,185 20,666SANTA BARBARA 612 28,265 1,937 30,814 1,935 28,857 22 30,814 1,965 312 28,537 30,814SANTA CLARA 3,274 59,608 1,471 64,353 1,472 62,794 87 64,353 1,564 23,947 38,842 64,353SANTA CRUZ 91 3,891 110 4,092 109 3,977 6 4,092 114 1,647 2,331 4,092SHASTA 2,749 5,685 299 8,733 189 8,482 62 8,733 1,189 2,732 4,812 8,733SIERRA 7 103 1 111 1 109 1 111 1 45 65 111SISKIYOU 532 1,599 245 2,376 243 2,112 21 2,376 244 1,294 838 2,376SOLANO 980 13,228 777 14,985 776 14,177 32 14,985 791 6,922 7,272 14,985SONOMA 641 13,191 245 14,077 246 13,778 53 14,077 259 2,601 11,217 14,077STANISLAUS 1,732 38,717 77 40,526 78 40,372 76 40,526 84 5,390 35,052 40,526SUTTER 365 4,461 107 4,933 109 4,818 6 4,933 110 1,067 3,756 4,933TEHAMA 500 4,025 153 4,678 152 4,510 16 4,678 170 2,540 1,968 4,678TRINITY 66 443 7 516 6 506 4 516 11 184 321 516TULARE 1,864 47,760 791 50,415 785 49,487 143 50,415 886 2,699 46,830 50,415TUOLUMNE 175 953 54 1,182 54 1,123 5 1,182 58 513 611 1,182VENTURA 880 36,513 1,464 38,857 1,464 37,327 66 38,857 1,489 1,585 35,783 38,857YOLO 299 9,844 39 10,182 39 10,123 20 10,182 45 7,486 2,651 10,182YUBA 496 3,705 61 4,262 61 4,191 10 4,262 62 1,091 3,109 4,262CITY OF BERKELEY 4 113 3 120 3 117 0 120 3 29 88 120CITY OF LONG BEACH 140 23,456 46 23,642 47 23,571 24 23,642 51 141 23,450 23,642CITY OF PASADENA 133 4,840 32 5,005 15 4,986 4 5,005 14 680 4,311 5,005UNKNOWN 1,157 22,330 514 24,001 532 23,377 92 24,001 599 3,820 19,582 24,001TOTAL 99,053 1,896,472 43,308 2,038,833 42,903 1,992,174 3,756 2,038,833 45,410 322,127 1,671,296 2,038,833


232

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