Benchmark birth weight percentiles were calculated using all US births from the CDC National Vital Statistics (NVS) natality files. The US data were subset to include only singleton births from 2000-2004 with known weight and gender with gestational age 20-44 weeks. Only the NVS imputed estimate of gestation was used for the calculations since CA does not report the clinical estimate at all. The US births were summarized by gestational age and sex, calculating various percentiles. These were matched to each birth record by gestational age and sex. The 10th percentile was then used to calculate 'small for gestational age' (SGA).

Calculated using mother's address at the time of birth. Only includes NC addresses

Calculated using mother's address at the time of birth. Only includes NC addresses

For children who repeated grade 4, this value corresponds to the year in which they achieved the highest reading test score. This value is populated with the academic year value or is blank if the information is missing.

For children who repeated grade 4, this value corresponds to the first academic year they were tested.

Grade 4 or missing

For children who repeated grade 4, this is the highest achievement level attained.

For children who repeated grade 4, this is the achievement level for the first test they took.

For children who repeated grade 4, this is the highest test score they achieved.

For children who repeated grade 4, this is the test score for the first test they took.

For children who repeated grade 4, this is the highest achievement level attained.

For children who repeated grade 4, this is the achievement level for the first test they took.

For children who repeated grade 4, this is the highest test score they achieved.

For children who repeated grade 4, this is the test score for the first test they took.

For children who repeated grade 4, this is is based on the address for the school year in which they first entered grade 4.

For children who repeated grade 4, this is is based on the address for the school year in which they first entered grade 4.

For children with more than one BLL test, this is the test result with the highest value.

For children with more than one BLL test, this is the date that corresponds to the test result with the highest value.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the 8-hour maximum value sample data from AQS. The clinical estimate of gestation is used for the exposure time period, and the metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For Ozone, use only the in-season time period when applying the 75% and 2 consecutive weeks rules to determine whether metrics can be calculated. If all weeks within the gestation time period are off-season, all sample values will be 0, and the metrics will be included. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

This metric is calculated using the daily average sample data from AQS (local conditions). The clinical estimate of gestation is used for the exposure time period, and metric is calculated within that time period. Using the mother’s address at the time of birth, the closest active AQS monitor within 30 km is identified. A monitor is considered active if there are no consecutive weeks with missing values AND at least 75% of the weeks have non-missing values. For example, the First1Mth* metric is the average of the first 4 weeks of pregnancy using the clinical estimate of gestation.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 7 days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 7 days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 10 days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 10 days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 30 days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 30 days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 90 days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 90 days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the year prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the year prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 2 years prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 2 years prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 3 years prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 3 years prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 4 years prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 4 years prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 5 years prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

Ozone estimate from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 5 years prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 7 days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 7 days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 10 days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 10 days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 30 days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 30 days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 90 days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 90 days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the year prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the year prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 2 years prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 2 years prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 3 years days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 3 years days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 4 years days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 4 years days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 5 years days prior to June 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

PM 2.5 estimates from the Fused Air Quality Surface using Downscaling (FAQSD) files. The estimate is the mean of the 5 years days prior to May 1st of the year of the EOG test, for the Tract of the student’s residential address during the school year in which they were tested.

This calculation is done within the state at the Tract level using 2000 census data and geography definitions. It is matched to the Tract of the mother’s residential address at the time of birth.

This calculation is done within the state at the Tract level using 2000 census data and geography definitions. It is matched to the Tract of the mother’s residential address at the time of birth.

This calculation is done within the state at the Tract level using 2010 census data and geography definitions. It is matched to the Tract of the student’s residential address during the school year in which they were tested.

This calculation is done within the state at the Tract level using 2010 census data and geography definitions. It is matched to the Tract of the student’s residential address during the school year in which they were tested.

This calculation is done at the Tract level using 2000 census data and geography definitions. It is matched to the Tract of the mother’s residential address at the time of birth.

This calculation is done at the Tract level using 2000 census data and geography definitions. It is matched to the Tract of the mother’s residential address at the time of birth.

This calculation is done at the Tract level using 2010 census data and geography definitions. It is matched to the Tract of the student’s residential address during the school year in which they were tested.

This calculation is done within the state at the Tract level using 2010 census data and geography definitions. It is matched to the Tract of the student’s residential address during the school year in which they were tested.