Skip Navigation LinksZIPCodeData2018

childhood lead poisoning prevention branch

Percent of Children with a Blood Lead Level (BLL) of 4.5 mcg/dL and Greater, in Descending Order, by ZIP Code, 2018

​Extracted from the 2020 Biennial Report

Smaller Geographic Area Analysis Unsuppressed ZIP Codes and Census Tracts, 2018

For reported BLL results for children < 6 years old tested in 2018, ArcGIS geocoding software was used to assign test results to postal ZIP codes and determine the percentage of reported test results in the ZIP codes that were ≥ 4.5 mcg/dL. The California Health and Human Services Agency's Data De-Identification Guidelines (DDGs) were then applied to the results for each ZIP code to determine whether findings could be reported. BLL results for children < 6 years old tested in 2018 were reported to California Department of Public Health (CDPH) from 1,470 of California's 1,721 non-P.O. Box ZIP codes. For ZIP Codes without reported results there may be no at-risk children, no testing, or no reported results.

After applying the DDGs, data could only be reported for 107 (7.3 percent) of the 1,470 ZIP codes with reported BLLs. Data for unsuppressed ZIP codes is shown in Table 7, ranked by the percentage of reported BLLs ≥ 4.5 mcg/dL. Percentages range from 20.4 percent in ZIP code 95821 in the city of Sacramento to 0.45 percent in ZIP code 92335 in the city of Fontana. Because the DDG's required suppression of data for 93.5 percent of California ZIP codes with reported BLLs, this publicly reportable data is of limited use for identifying geographic areas with high percentages of children with elevated BLLs.

AB 1316 mandates reporting of census tract information to the greatest extent possible. A similar analysis was conducted to determine the percentage of children (< 6 years old) in each census tract with BLLs ≥ 4.5 mcg/dL. After applying the DDGs, there was no census tract for which results could be reported.

While there are limitations on the level of detail that can be publicly reported without risking identification of individual children, state and local lead programs can use this information internally to guide programmatic decision making, and to develop approaches to preventing lead exposure and identifying children with elevated BLLs.

Percent of Children with a Blood Lead Levels of 4.5 mcg/dL and Greater, in Descending Order, by ZIP Code, 2018

ZIP CodePostal District NameNumber of BLLs 4.5 or greater for children under 6Percent of BLLs 4.5 or greater for children under 6 Total number of BLLs for children under 6 
95821Sacramento13820.41%676
95608Carmichael5211.40%456
94539Fremont157.18%209
95670Rancho Cordova316.81%455
94538Fremont466.76%680
90037Los Angeles796.71%1178
94536Fremont435.47%786
94087Sunnyvale235.35%430
95014Cupertino134.48%290
95350Modesto294.39%661
90003Los Angeles594.35%1355
90011Los Angeles984.23%2318
92021El Cajon454.20%1072
90006Los Angeles333.84%859
90033Los Angeles293.66%793
94015Daly City153.55%422
93308Bakersfield263.34%778
90018Los Angeles233.33%690
95076Watsonville423.27%1284
90044Los Angeles583.25%1786
92020El Cajon383.18%1194
94601Oakland313.13%989
92570Perris333.13%1054
92701Santa Ana333.08%1071
95823Sacramento362.95%1219
94533Fairfield302.92%1026
92126San Diego152.88%520
92410San Bernardino322.73%1172
95051Santa Clara182.71%664
92571Perris282.70%1036
93230Hanford222.69%817
90019Los Angeles192.66%713
90034Los Angeles122.65%453
94110San Francisco142.64%530
90255Huntington Park372.61%1416
95355Modesto132.59%502
95035Milpitas202.55%783
90001Los Angeles342.55%1333
93638Madera402.51%1593
94587Union City162.45%653
92069San Marcos152.38%631
90063Los Angeles192.23%851
90002Los Angeles272.22%1218
93304Bakersfield222.20%999
92243El Centro292.19%1322
90026Los Angeles152.12%709
93458Santa Maria342.08%1636
92703Santa Ana252.07%1205
93307Bakersfield372.04%1814
94541Hayward151.98%759
90220Compton201.96%1021
92115San Diego151.95%769
92530Lake Elsinore161.90%843
92707Santa Ana181.89%953
91801Alhambra121.86%644
93274Tulare141.86%752
91950National City221.86%1185
93905Salinas311.85%1680
91732El Monte191.83%1036
90022Los Angeles181.83%986
91770Rosemead181.82%991
95376Tracy111.79%613
92627Costa Mesa111.76%626
93722Fresno161.74%921
91343North Hills141.73%807
92509Riverside221.71%1284
90201Bell Gardens301.67%1793
90813Long Beach151.67%898
92114San Diego191.66%1145
93257Porterville161.66%966
90042Los Angeles111.63%676
91352Sun Valley111.62%677
94806San Pablo121.62%741
93030Oxnard121.61%747
95206Stockton231.57%1469
93906Salinas201.56%1281
90004Los Angeles111.53%721
92704Santa Ana201.51%1328
91706Baldwin Park171.49%1144
92801Anaheim141.48%944
92113San Diego191.42%1334
92683Westminster131.42%914
90221Compton171.39%1226
94544Hayward121.28%941
91977Spring Valley111.27%864
92404San Bernardino161.25%1277
91402Panorama City141.24%1131
92805Anaheim151.22%1228
94565Pittsburg131.22%1065
92324Colton111.16%946
93306Bakersfield131.14%1138
90280South Gate191.14%1673
93309Bakersfield111.13%972
93033Oxnard141.10%1271
92154San Diego151.07%1403
91744La Puente141.04%1342
91766Pomona121.02%1178
92105San Diego141.00%1394
91910Chula Vista121.00%1201
90262Lynwood130.97%1343
91911Chula Vista150.95%1572
93727Fresno120.94%1280
92804Anaheim120.89%1352
93535Lancaster120.83%1449
91331Pacoima130.78%1675
90650Norwalk90.56%1601
92335Fontana90.45%2020

  • ​​Data are from the RASSCLE surveillance database archive of 4/3/2019.
  • Each individual is counted only once, using their highest BLL during 2018.
  • Measures are in mcg/dL of whole blood and include arterial, cord, venous, capillary and unknown samples. Not all elevated capillary samples are confirmed by a follow-up venous sample.
  • Results later determined to be false positive and errors have been excluded.
  • All results of blood lead analyses are reportable under California law, and the State works to ensure complete reporting. Results that are not submitted to the State, however, would not be included here.
  • Those BLLs reported from the analyzing laboratory as "< 5 mcg/dL" are included in the category "BLL < 4.5 mcg/dL."
  • Patient ZIP code is determined by geocoding the address associated with the child's highest BLL and spatially joining it to a ZIP code boundary layer. This analysis used the Web Mercator Auxiliary Sphere projection.
  • Data are suppressed for ZIP codes that did not have enough blood lead tests in 2018 to meet the California Health and Human Services Agency’s Data De-Identification Guidelines for public release. Therefore, not all ZIP codes are shown in this table.

Page Last Updated :