Several software codes are provided to support the analysis of flood risk across the LA Metro: Matlab codes (.m files): These codes are to be opened in MathWorks Matlab software and include: LAexposurecalcs.m (code to compute population and property value exposure to flood hazards) lorenz_socioeconomic.m (code to compute lorenz curves for socio-economic factors and flood hazards) lorenz_race_ethnicity.m (code to compute lorenz curves for race/ethnicity and flood hazards) municipal_hazard_NDI_FER.m (code to compute Flood Exposure Representativeness at the municipal level) cmocean.m & labelpoints.m (dependency codes for figure plotting) The Matlab codes are designed to be executed using one of the lafloodrisk_2020_p_d_s_XX.csv files at a time. Whereby XX indicates the 100 yr flood hazard percentile (5th, 50th, or 95th). To access the lafloodrisk_2020_p_d_s_XX.csv files first decompress the lafloodrisk_2020.zip file using compression software (e.g. 7-Zip). Stata code (.do file): California_NDI.do (calculates the NDI for each Census block group across California) The above code is designed to be executed with the California_Reduced2019.dta data file containing 2019 5yr ACS variables for the state of California. Description of the variables included in the California_Reduced2019.dta file: ACS_Code Description B01001_001E SEX BY AGE: Total: Total population B01002_001E MEDIAN AGE BY SEX: Total: Total population B09002_015E OWN CHILDREN UNDER 18 YEARS BY FAMILY TYPE AND AGE: In other families: Female householder, no husband present: Own children under 18 years B11001_002E HOUSEHOLD TYPE (INCLUDING LIVING ALONE): Family households: Households B11001_006E HOUSEHOLD TYPE (INCLUDING LIVING ALONE): Family households: Other family: Female householder, no husband present: Households B15003_001E EDUCATIONAL ATTAINMENT FOR THE POPULATION 25 YEARS AND OVER: Total: Population 25 years and over B15003_017E EDUCATIONAL ATTAINMENT FOR THE POPULATION 25 YEARS AND OVER: Regular high school diploma: Population 25 years and over B15003_018E EDUCATIONAL ATTAINMENT FOR THE POPULATION 25 YEARS AND OVER: GED or alternative credential: Population 25 years and over B15003_019E EDUCATIONAL ATTAINMENT FOR THE POPULATION 25 YEARS AND OVER: Some college, less than 1 year: Population 25 years and over B15003_020E EDUCATIONAL ATTAINMENT FOR THE POPULATION 25 YEARS AND OVER: Some college, 1 or more years, no degree: Population 25 years and over B15003_021E EDUCATIONAL ATTAINMENT FOR THE POPULATION 25 YEARS AND OVER: Associate's degree: Population 25 years and over B15011_001E SEX BY AGE BY FIELD OF BACHELOR'S DEGREE FOR FIRST MAJOR FOR THE POPULATION 25 YEARS AND OVER: Total: POPULATION 25 YEARS AND OVER WITH A BACHELOR'S DEGREE OR HIGHER ATTAINMENT C16002_001E HOUSEHOLD LANGUAGE BY HOUSEHOLD LIMITED ENGLISH SPEAKING STATUS: Total: Households C16002_002E HOUSEHOLD LANGUAGE BY HOUSEHOLD LIMITED ENGLISH SPEAKING STATUS: English only: Households C17002_001E RATIO OF INCOME TO POVERTY LEVEL IN THE PAST 12 MONTHS: Total: Population for whom poverty status is determined C17002_002E RATIO OF INCOME TO POVERTY LEVEL IN THE PAST 12 MONTHS: Under .50: Population for whom poverty status is determined C17002_003E RATIO OF INCOME TO POVERTY LEVEL IN THE PAST 12 MONTHS: .50 to .99: Population for whom poverty status is determined C17002_004E RATIO OF INCOME TO POVERTY LEVEL IN THE PAST 12 MONTHS: 1.00 to 1.24: Population for whom poverty status is determined C17002_005E RATIO OF INCOME TO POVERTY LEVEL IN THE PAST 12 MONTHS: 1.25 to 1.49: Population for whom poverty status is determined C17002_006E RATIO OF INCOME TO POVERTY LEVEL IN THE PAST 12 MONTHS: 1.50 to 1.84: Population for whom poverty status is determined C17002_007E RATIO OF INCOME TO POVERTY LEVEL IN THE PAST 12 MONTHS: 1.85 to 1.99: Population for whom poverty status is determined B17010_001E POVERTY STATUS IN THE PAST 12 MONTHS OF FAMILIES BY FAMILY TYPE BY PRESENCE OF RELATED CHILDREN UNDER 18 YEARS BY AGE OF RELATED CHILDREN: Total: Families B19001_001E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): Total: Households B19001_002E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): Less than $10,000: Households B19001_003E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $10,000 to $14,999: Households B19001_004E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $15,000 to $19,999: Households B19001_005E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $20,000 to $24,999: Households B19001_006E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $25,000 to $29,999: Households B19001_007E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $30,000 to $34,999: Households B19001_008E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $35,000 to $39,999: Households B19001_009E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $40,000 to $44,999: Households B19001_010E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $45,000 to $49,999: Households B19001_011E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $50,000 to $59,999: Households B19001_016E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $150,000 to $199,999: Households B19001_017E HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): $200,000 or more: Households B19013_001E MEDIAN HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): Median household income in the past 12 months (in 2017 inflation-adjusted dollars): Households B19051_001E EARNINGS IN THE PAST 12 MONTHS FOR HOUSEHOLDS: Total: Households B19057_001E PUBLIC ASSISTANCE INCOME IN THE PAST 12 MONTHS FOR HOUSEHOLDS: Total: Households B19057_002E PUBLIC ASSISTANCE INCOME IN THE PAST 12 MONTHS FOR HOUSEHOLDS: With public assistance income: Households B20002_001E MEDIAN EARNINGS IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS) BY SEX FOR THE POPULATION 16 YEARS AND OVER WITH EARNINGS IN THE PAST 12 MONTHS: Total: Population 16 years and over with earnings B22010_001E RECEIPT OF FOOD STAMPS/SNAP IN THE PAST 12 MONTHS BY DISABILITY STATUS FOR HOUSEHOLDS: Total: Households B22010_002E RECEIPT OF FOOD STAMPS/SNAP IN THE PAST 12 MONTHS BY DISABILITY STATUS FOR HOUSEHOLDS: Household received Food Stamps/SNAP in the past 12 months: Households B23025_001E EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER: Total: Population 16 years and over B23025_002E EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER: In labor force: Population 16 years and over B23025_005E EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER: In labor force: Civilian labor force: Unemployed: Population 16 years and over C24010_001E SEX BY OCCUPATION FOR THE CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER: Total: Civilian employed population 16 years and over B25001_001E HOUSING UNITS: Total: Housing units B25003_001E TENURE: Total: Occupied housing units B25003_002E TENURE: Owner occupied: Occupied housing units B25003_003E TENURE: Renter occupied: Occupied housing units B25058_001E MEDIAN CONTRACT RENT (DOLLARS): Median contract rent: Renter-occupied housing units paying cash rent B25064_001E MEDIAN GROSS RENT (DOLLARS): Median gross rent: Renter-occupied housing units paying cash rent B25071_001E MEDIAN GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN THE PAST 12 MONTHS (DOLLARS): Median gross rent as a percentage of household income: Renter-occupied housing units paying cash rent B25077_001E MEDIAN VALUE (DOLLARS): Median value (dollars): Owner-occupied housing units B27010_001E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: Total: Civilian noninstitutionalized population B27010_007E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: Under 19 years: With one type of health insurance coverage: With Medicaid/means-tested public coverage only: Civilian noninstitutionalized population B27010_013E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: Under 19 years: With two or more types of health insurance coverage: With Medicare and Medicaid/means-tested public coverage: Civilian noninstitutionalized population B27010_017E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: Under 19 years: No health insurance coverage: Civilian noninstitutionalized population B27010_023E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: 19 to 34 years: With one type of health insurance coverage: With Medicaid/means-tested public coverage only: Civilian noninstitutionalized population B27010_029E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: 19 to 34 years: With two or more types of health insurance coverage: With Medicare and Medicaid/means-tested public coverage: Civilian noninstitutionalized population B27010_033E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: 19 to 34 years: No health insurance coverage: Civilian noninstitutionalized population B27010_039E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: 35 to 64 years: With one type of health insurance coverage: With Medicaid/means-tested public coverage only: Civilian noninstitutionalized population B27010_046E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: 35 to 64 years: With two or more types of health insurance coverage: With Medicare and Medicaid/means-tested public coverage: Civilian noninstitutionalized population B27010_050E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: 35 to 64 years: No health insurance coverage: Civilian noninstitutionalized population B27010_063E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: 65 years and over: With two or more types of health insurance coverage: With Medicare and Medicaid/means-tested public coverage: Civilian noninstitutionalized population B27010_066E TYPES OF HEALTH INSURANCE COVERAGE BY AGE: 65 years and over: No health insurance coverage: Civilian noninstitutionalized population B99051_001E ALLOCATION OF CITIZENSHIP STATUS: Total: Total population B99051_005E ALLOCATION OF CITIZENSHIP STATUS: Foreign born: Total population B19301_001E PER CAPITA INCOME IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS): Per capita income in the past 12 months (in 2017 inflation-adjusted dollars): Total population B20002_001E MEDIAN EARNINGS IN THE PAST 12 MONTHS (IN 2017 INFLATION-ADJUSTED DOLLARS) BY SEX FOR THE POPULATION 16 YEARS AND OVER WITH EARNINGS IN THE PAST 12 MONTHS: Total: Population 16 years and over with earnings B01001_002E SEX BY AGE: Male: Total population B01001_003E SEX BY AGE: Male: Under 5 years: Total population B01001_004E SEX BY AGE: Male: 5 to 9 years: Total population B01001_005E SEX BY AGE: Male: 10 to 14 years: Total population B01001_006E SEX BY AGE: Male: 15 to 17 years: Total population B01001_007E SEX BY AGE: Male: 18 and 19 years: Total population B01001_008E SEX BY AGE: Male: 20 years: Total population B01001_009E SEX BY AGE: Male: 21 years: Total population B01001_010E SEX BY AGE: Male: 22 to 24 years: Total population B01001_011E SEX BY AGE: Male: 25 to 29 years: Total population B01001_012E SEX BY AGE: Male: 30 to 34 years: Total population B01001_013E SEX BY AGE: Male: 35 to 39 years: Total population B01001_014E SEX BY AGE: Male: 40 to 44 years: Total population B01001_015E SEX BY AGE: Male: 45 to 49 years: Total population B01001_016E SEX BY AGE: Male: 50 to 54 years: Total population B01001_017E SEX BY AGE: Male: 55 to 59 years: Total population B01001_018E SEX BY AGE: Male: 60 and 61 years: Total population B01001_019E SEX BY AGE: Male: 62 to 64 years: Total population B01001_020E SEX BY AGE: Male: 65 and 66 years: Total population B01001_021E SEX BY AGE: Male: 67 to 69 years: Total population B01001_022E SEX BY AGE: Male: 70 to 74 years: Total population B01001_023E SEX BY AGE: Male: 75 to 79 years: Total population B01001_024E SEX BY AGE: Male: 80 to 84 years: Total population B01001_025E SEX BY AGE: Male: 85 years and over: Total population B01001_026E SEX BY AGE: Female: Total population B01001_027E SEX BY AGE: Female: Under 5 years: Total population B01001_028E SEX BY AGE: Female: 5 to 9 years: Total population B01001_029E SEX BY AGE: Female: 10 to 14 years: Total population B01001_030E SEX BY AGE: Female: 15 to 17 years: Total population B01001_031E SEX BY AGE: Female: 18 and 19 years: Total population B01001_032E SEX BY AGE: Female: 20 years: Total population B01001_033E SEX BY AGE: Female: 21 years: Total population B01001_034E SEX BY AGE: Female: 22 to 24 years: Total population B01001_035E SEX BY AGE: Female: 25 to 29 years: Total population B01001_036E SEX BY AGE: Female: 30 to 34 years: Total population B01001_037E SEX BY AGE: Female: 35 to 39 years: Total population B01001_038E SEX BY AGE: Female: 40 to 44 years: Total population B01001_039E SEX BY AGE: Female: 45 to 49 years: Total population B01001_040E SEX BY AGE: Female: 50 to 54 years: Total population B01001_041E SEX BY AGE: Female: 55 to 59 years: Total population B01001_042E SEX BY AGE: Female: 60 and 61 years: Total population B01001_043E SEX BY AGE: Female: 62 to 64 years: Total population B01001_044E SEX BY AGE: Female: 65 and 66 years: Total population B01001_045E SEX BY AGE: Female: 67 to 69 years: Total population B01001_046E SEX BY AGE: Female: 70 to 74 years: Total population B01001_047E SEX BY AGE: Female: 75 to 79 years: Total population

Flood risks in the U.S. have historically been underestimated, particularly with respect to human well-being and within low-wealth and marginalized communities. Here, we characterize a fuller range of risks in Los Angeles, California, using a quantitative framework that intersects flood hazards from rainfall, streamflow, and storm tides with measures of exposure and vulnerability including ethnicity, race, and socioeconomic disadvantage. We find that between 197 and 974 thousand (K) people (median=425K), and between $36 and $108 billion (B) in property (median=$56B), are exposed to flooding greater than 30 cm within the 100-year flood zone, risk levels far above federally defined floodplains and similar to the most damaging hurricanes in U.S. history. These risks are disproportionately higher for non-Hispanic Black and disadvantaged populations, burdening communities that may have greater challenges recovering and reinforcing socioeconomic inequities. Our framework creates opportunities for transparently and equitably reducing flood risks in urban areas. The included dataset provides flood hazard and socio-economic data to perform parcel level flood risk assessment for Los Angeles, CA, USA.