Census 2010 population data approximated from block groups to LA Council Districts using Esri software.
This dataset has the following 41 columns:
Column Name | API Column Name | Data Type | Sample Values |
---|---|---|---|
Council District | council_district | text | 10 - Herb J. Wesson Jr. 4 - David Ryu 7 - Monica Rodriguez 6 - Nury Martinez 2 - Paul Krekorian view top 100 |
Pop2010 | pop2010 | number | 248489.10 248693.15 262111.74 256691.84 251283.55 view top 100 |
White_pop | white_pop | number | 134061.58 169640.22 123621.41 158939.64 52123.80 view top 100 |
Black_pop | black_pop | number | 9822.60 11239.45 10153.12 39195.97 12524.23 view top 100 |
Ameri_es_pop | ameri_es_pop | number | 1214.43 2307.88 1766.78 1526.06 2816.77 view top 100 |
Asian_pop | asian_pop | number | 6279.00 30132.14 43397.31 25023.59 43740.54 view top 100 |
Hawn_pi_pop | hawn_pi_pop | number | 281.94 315.72 374.43 243.26 271.29 view top 100 |
Hispanic_pop | hispanic_pop | number | 133038.67 176836.41 133317.31 27548.05 167529.97 view top 100 |
Other_pop | other_pop | number | 74188.21 75577.68 89037.14 68188.27 14169.79 view top 100 |
Multi_pop | multi_pop | number | 12244.39 11951.53 10407.84 12002.80 12100.46 view top 100 |
Male_pop | male_pop | number | 128140.11 132402.48 126366.09 121416.86 117482.91 view top 100 |
Female_pop | female_pop | number | 117481.46 127244.35 123753.73 128355.63 130027.38 view top 100 |
Age_under5Ê | age_under5 | number | 23426.84 15760.04 12912.21 17464.54 19311.20 view top 100 |
Age_5_9 | age_5_9 | number | 15840.21 20139.92 19062.39 14149.84 12094.61 view top 100 |
Age_10_14 | age_10_14 | number | 21366.75 19735.41 10293.89 15090.27 19861.52 view top 100 |
Age_15_19 | age_15_19 | number | 16664.84 20221.50 21526.34 15191.39 21688.99 view top 100 |
Age_20_24 | age_20_24 | number | 21922.65 20202.21 17736.08 19976.89 19350.71 view top 100 |
Age_25_34 | age_25_34 | number | 47888.78 37674.52 39835.59 36642.44 43166.35 view top 100 |
Age_35_44 | age_35_44 | number | 40330.45 36371.45 32794.64 40715.42 34815.25 view top 100 |
Age_45_54 | age_45_54 | number | 26250.30 32120.38 40495.71 32324.88 37017.52 view top 100 |
Age_55_64 | age_55_64 | number | 33019.38 27178.68 21850.82 25890.49 15501.56 view top 100 |
Age_65_74 | age_65_74 | number | 12505.67 17181.84 13312.35 14316.31 12261.12 view top 100 |
Age_75_84 | age_75_84 | number | 7536.19 8003.20 7363.79 7867.60 7507.17 view top 100 |
Age_85_up | age_85_up | number | 3059.46 2909.33 3845.47 3656.14 2625.76 view top 100 |
Median_age | median_age | number | 24.12 26.70 22.38 26.76 20.74 view top 100 |
Med_age_male | med_age_male | number | 25.20 24.55 21.17 27.39 29.75 view top 100 |
Med_age_female | med_age_female | number | 22.60 21.26 23.62 28.19 27.29 view top 100 |
Households | households | number | 57739.17 76426.30 95915.92 112607.59 72676.94 view top 100 |
Avg_hh_size | avg_hh_size | number | 1.54 2.88 2.38 2.23 2.74 view top 100 |
HouseholdsHsehld_1_m | householdshsehld | number | 4332.16 7797.00 24642.90 13381.42 6382.93 view top 100 |
Hsehld_1_f | hsehld_1_f | number | 11292.14 9337.50 22484.17 15325.45 5525.02 view top 100 |
Marhh_chd | marhh_chd | number | 19513.33 16782.41 16047.25 19249.41 15096.73 view top 100 |
Marhh_no_c | marhh_no_c | number | 24708.30 23726.61 12582.79 17423.32 21752.67 view top 100 |
Mhh_child | mhh_child | number | 1320.25 3923.03 3410.85 4086.03 4149.33 view top 100 |
Fhh_child | fhh_child | number | 4632.45 7206.53 10710.83 3365.03 11151.98 view top 100 |
Families | families | number | 47273.89 60784.85 52173.37 44947.25 50875.22 view top 100 |
Avg_family_size | avg_family_size | number | 2.55 2.60 1.75 2.69 3.04 view top 100 |
Housing_units | housing_units | number | 121480.65 101135.77 71789.92 85219.33 130367.28 view top 100 |
Vacant | vacant | number | 9183.91 6171.92 7721.54 5136.14 3683.73 view top 100 |
Owner_occ | owner_occ | number | 28660.95 60274.21 50753.74 45501.50 42201.31 view top 100 |
Renter_occ | renter_occ | number | 26031.06 44158.94 42755.29 44758.11 74151.62 view top 100 |