American Community Survey Census data includes demographics, education level, commute information, and more subset to Colorado by the Department of Local Affairs (DOLA).
This dataset has the following 325 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| the_geom | the_geom | multipolygon | GeoJSON field describing the boundaries of the area | view top 100 |
| OBJECTID | objectid | number | The increasing digit unique id for the designated area | 1 2 3 4 5 view top 100 |
| CSAFP | csafp | text | 216 view top 100 | |
| CBSAFP | cbsafp | text | 14500 15860 17820 19740 20420 view top 100 | |
| GEOID | geoid | text | Comma delimited list (no quotes, leading zeros are necessary) of geoid examples: '08' is Colorado, '08031' is Denver County , '08031000701' is a Census Tract in Denver County, and '080010078011' is a block group in Adams County, and '0668154' is the city of San Luis Obispo, CA. You can also use the integer format for geoid called geonum by prefixing the geoid with ‘1’. San Luis Obispo would then be 10668154. | 14500 15860 17820 19740 20420 view top 100 |
| NAME | name | text | The name of the region; could be a shortened ID for the designated area (eg 9638) or the county/subdivision name (eg Somerset) | Boulder, CO Cañon City, CO Colorado Springs, CO Denver-Aurora-Broomfield, CO Durango, CO view top 100 |
| NAMELSAD | namelsad | text | The name of the designated area (eg Block Group 3) | Boulder, CO Metro Area Cañon City, CO Micro Area Colorado Springs, CO Metro Area Denver-Aurora-Broomfield, CO Metro Area Durango, CO Micro Area view top 100 |
| LSAD | lsad | text | M1 M2 view top 100 | |
| MEMI | memi | text | 1 2 view top 100 | |
| MTFCC | mtfcc | text | The MAF/TIGER Feature Class Code (MTFCC) is a 5-digit code assigned by the Census Bureau intended to classify and describe geographic objects or features. The lookup table can be found at the link: https://www.census.gov/geo/reference/mtfcc.html | G3110 view top 100 |
| ALAND | aland | number | The amount of land in the designated area, in ft2. | 1575562624 1881236301 3316112929 3970604102 4382658416 view top 100 |
| AWATER | awater | number | The amount of water in the designated area, in ft2. | 2235391.0 4923261.0 12056121 16363552 19545450 view top 100 |
| INTPTLAT | intptlat | text | The center of the latitude of the designated area. | +37.2873673 +38.1706581 +38.4134267 +38.4556576 +38.8454664 view top 100 |
| INTPTLON | intptlon | text | The center of the longitude of the designated area. | -103.0904639 -103.8074974 -104.3836487 -104.4898925 -104.6390684 view top 100 |
| Shape_Leng | shape_leng | number | The shape perimeter length, in miles | 2.38342831105 2.41529824203 2.5995373204 2.98810738238 3.02310888661 view top 100 |
| Shape_Area | shape_area | number | The shape area, in square miles | 0.16827203878 0.20253866922 0.35474355986 0.41013085172 0.44731463647 view top 100 |
| CBSA | cbsa | text | The code for the designated area (eg 22660) | 14500 15860 17820 19740 20420 view top 100 |
| GEOID_1 | geoid_1 | text | Comma delimited list (no quotes, leading zeros are necessary) of geoid examples: '08' is Colorado, '08031' is Denver County , '08031000701' is a Census Tract in Denver County, and '080010078011' is a block group in Adams County, and '0668154' is the city of San Luis Obispo, CA. You can also use the integer format for geoid called geonum by prefixing the geoid with ‘1’. San Luis Obispo would then be 10668154. | 32000US0814500 32000US0815860 32000US0817820 32000US0819740 32000US0820420 view top 100 |
| NAME_1 | name_1 | text | The full name of the designated area (eg Census Tract 9638, Gunnison County, Colorado) | Boulder, CO Metro Area; Colorado Ca±on City, CO Micro Area; Colorado Colorado Springs, CO Metro Area; Colorado Denver-Aurora-Broomfield, CO Metro Area; Colorado Durango, CO Micro Area; Colorado view top 100 |
| LOGRECNO | logrecno | text | The Logical Record Number, a unique identifier | 0009430 0009431 0009432 0009433 0009434 view top 100 |
| POP0812 | pop0812 | number | The number of people living in the designated area for the given year. | 22541.0 27753.0 28200.0 40994.0 47006.0 view top 100 |
| HISPANIC | hispanic | number | Estimate for the Hispanic Population | 3542.0 3836.0 5839.0 6119.0 8037.0 view top 100 |
| WHITE_NH | white_nh | number | Estimate for the White, Non-Hispanic Population | 17399.0 18256.0 22955.0 31799.0 36270.0 view top 100 |
| BLACK_NH | black_nh | number | Estimate for the Black, Non-Hispanic Population | 186.0 2736.0 315.0 701.0 822.0 view top 100 |
| NTVAM_NH | ntvam_nh | number | Estimate for the Native American, Non-Hispanic Population | 62.0 74.0 81.0 153.0 282.0 view top 100 |
| ASIAN_NH | asian_nh | number | Estimate for the Asian, Non-Hispanic Population | 44.0 143.0 227.0 276.0 338.0 view top 100 |
| HAWPI_NH | hawpi_nh | number | Estimate for the Hawaiian and Pacific Islander, Non-Hispanic Population | 0.0 6.0 10.0 16.0 39.0 view top 100 |
| OTHER_NH | other_nh | number | Estimate for the population of those identifying with any other race (Non-Hispanic) | 0.0 8.0 16.0 33.0 112.0 view top 100 |
| TWOPLUS_NH | twoplus_nh | number | Estimate for the population who identifies with more than one race (Non-Hispanic) | 136.0 209.0 346.0 589.0 606.0 view top 100 |
| MALE | male | number | Estimate for the total male population | 12339.0 14061.0 15155.0 20134.0 26134.0 view top 100 |
| FEMALE | female | number | Estimate for the total female population | 10202.0 12598.0 14139.0 19430.0 20860.0 view top 100 |
| AGELESS10 | ageless10 | number | The number of people younger than 10 | 2587.0 2859.0 3969.0 4288.0 5558.0 view top 100 |
| AGELESS18 | ageless18 | number | Estimate for the total population less than 18 years of age (0 to 17) | 4506.0 4822.0 7509.0 7798.0 9985.0 view top 100 |
| AGE18_24 | age18_24 | number | Estimate for the total population from 18 to 24 years of age | 2464.0 2590.0 2652.0 3123.0 3347.0 view top 100 |
| AGE25_34 | age25_34 | number | Estimate for the total population from 25 to 34 years of age | 2883.0 3535.0 4398.0 5580.0 6988.0 view top 100 |
| AGE35_44 | age35_44 | number | Estimate for the total population from 35 to 44 years of age | 2820.0 3445.0 4701.0 4820.0 6195.0 view top 100 |
| AGE45_64 | age45_64 | number | Estimate for the total population from 45 to 64 years of age | 5963.0 6956.0 7756.0 11725.0 14097.0 view top 100 |
| AGE65PLUS | age65plus | number | Estimate for the total population 65 years of age or older | 2304.0 3246.0 3315.0 4002.0 6059.0 view top 100 |
| AGE_0_9 | age_0_9 | number | Estimate for the total population from 0 to 9 years of age | 2587.0 2859.0 3969.0 4288.0 5558.0 view top 100 |
| AGE_10_19 | age_10_19 | number | Estimate for the total population from 10 to 19 years of age | 2370.0 3098.0 4249.0 4331.0 5142.0 view top 100 |
| AGE_20_29 | age_20_29 | number | Estimate for the total population from 20 to 29 years of age | 3496.0 3634.0 4170.0 5292.0 6130.0 view top 100 |
| AGE_30_39 | age_30_39 | number | Estimate for the total population from 30 to 39 years of age | 2741.0 3291.0 4353.0 5061.0 6898.0 view top 100 |
| AGE_40_49 | age_40_49 | number | Estimate for the total population from 40 to 49 years of age | 3088.0 3690.0 4135.0 5450.0 6732.0 view top 100 |
| AGE_50_59 | age_50_59 | number | Estimate for the total population from 50 to 59 years of age | 3061.0 3690.0 4043.0 6018.0 6961.0 view top 100 |
| AGE_60_69 | age_60_69 | number | Estimate for the total population from 60 to 69 years of age | 2146.0 2422.0 2838.0 4215.0 5183.0 view top 100 |
| AGE_70_79 | age_70_79 | number | Estimate for the total population from 70 to 79 years of age | 1012.0 1228.0 1290.0 1405.0 2477.0 view top 100 |
| AGE_80_PL | age_80_pl | number | Estimate for the total population 80 years of age or older | 143.0 424.0 1096.0 1361.0 1531.0 view top 100 |
| MED_AGE | med_age | number | Median age of the population for the area | 33.2 34.2 34.6 35.4 35.6 view top 100 |
| HOUSEHOLDS | households | number | Estimate for the total number of household | 8020.0 10489.0 11358.0 16732.0 17200.0 view top 100 |
| FAMILYHH | familyhh | number | Estimate for the total number of family household | 5393.0 6168.0 7314.0 11139.0 11646.0 view top 100 |
| NONFAMHH | nonfamhh | number | Estimate for the total number of nonfamily household | 2627.0 3175.0 5086.0 5190.0 6061.0 view top 100 |
| HHLDRALONE | hhldralone | number | Estimate for the total number of nonfamily households where householder lives alone | 2347.0 2739.0 3311.0 4228.0 5029.0 view top 100 |
| HHLDR_NALN | hhldr_naln | number | Estimate for the total number of nonfamily households where householder does not live alone | 280.0 436.0 858.0 1032.0 1879.0 view top 100 |
| HOUSING_UN | housing_un | number | Estimated total number of housing units | 8954.0 11459.0 18178.0 19232.0 25894.0 view top 100 |
| OCC_HU | occ_hu | number | Estimated number of occupied housing units | 8020.0 10489.0 11358.0 16732.0 17200.0 view top 100 |
| VAC_HU | vac_hu | number | Estimated number of vacant housing units | 934.0 970.0 1446.0 2032.0 3920.0 view top 100 |
| OWNED | owned | number | Estimated number of owner-occupied housing units | 5716.0 6724.0 7766.0 12369.0 12406.0 view top 100 |
| RENTED | rented | number | Estimated number of renter-occupied housing units | 2304.0 3592.0 3765.0 4326.0 4831.0 view top 100 |
| POP25PLUS | pop25plus | number | Estimated total population 25 years or older (universe for educational attainment) | 14912.0 17938.0 20341.0 28357.0 34900.0 view top 100 |
| NOHSDIPL | nohsdipl | number | Estimated population 25 years or older that does not have a high school diploma or equivalent (GED) level of education | 934.0 1720.0 2057.0 3841.0 4262.0 view top 100 |
| HSGRAD_SC | hsgrad_sc | number | Estimated population 25 years or older that has a high school level of education (or equivalent) or higher education (some college) but did not achieve a bachelors degree or higher | 9411.0 10850.0 11481.0 16826.0 17549.0 view top 100 |
| BACHL_HGHR | bachl_hghr | number | Estimated total population 25 years or older with a Bachelors Degree, Masters Degree, Phd or other Professional Degree | 2342.0 2616.0 5732.0 6546.0 9996.0 view top 100 |
| MED_HH_INC | med_hh_inc | number | Estimated median household income | 40893.0 41369.0 41820.0 42829.0 47139.0 view top 100 |
| MED_FAM_IN | med_fam_in | number | Estimated median family income | 48727.0 49676.0 51391.0 52012.0 54471.0 view top 100 |
| PER_CAP_IN | per_cap_in | number | Estimated per capita income | 19379.0 20276.0 22164.0 22815.0 23018.0 view top 100 |
| MED_YR_BLT | med_yr_blt | number | median year structure built | 1985.0 1980.0 1971.0 1977.0 1982.0 view top 100 |
| MED_C_RENT | med_c_rent | number | Estimated median contract rent | 495.0 535.0 570.0 593.0 652.0 view top 100 |
| MED_G_RENT | med_g_rent | number | Estimated median gross rent | 615.0 675.0 707.0 711.0 816.0 view top 100 |
| MED_HM_VAL | med_hm_val | number | Estimated median home value | 121200.0 138900.0 140500.0 161100.0 192100.0 view top 100 |
| CITZ_BIRTH | citz_birth | number | Estimated total population that is a US Citizen by birth | 21106.0 24376.0 24398.0 37990.0 44916.0 view top 100 |
| CITZ_NAT | citz_nat | number | Estimated total population that is a US Citizen by Naturalization | 345.0 559.0 678.0 747.0 748.0 view top 100 |
| NOT_CITZ | not_citz | number | Estimated total population that is not a US Citizen | 781.0 1090.0 1531.0 2256.0 2581.0 view top 100 |
| BORN_IN_CO | born_in_co | number | Estimated total population that was born in Colorado | 6989.0 13734.0 16027.0 18839.0 18954.0 view top 100 |
| BRN_OTH_ST | brn_oth_st | number | Estimated total population that was born in a state other than Colorado | 7299.0 8197.0 17193.0 18750.0 23841.0 view top 100 |
| NTV_B_O_US | ntv_b_o_us | number | Estimated total population that was born outside of the US (In a US Territory Abroad) | 73.0 174.0 194.0 286.0 430.0 view top 100 |
| FOREIGN_B | foreign_b | number | Estimated total population that was born in a foreign country | 1435.0 1528.0 2090.0 3004.0 3377.0 view top 100 |
| POP_1P | pop_1p | number | Estimated total population 1 year old or more | 22384.0 27353.0 27761.0 40592.0 46667.0 view top 100 |
| SAME_HOUSE | same_house | number | Estimated total population living in the same house as they did 1 year ago | 18098.0 22168.0 22358.0 33891.0 38588.0 view top 100 |
| SAME_CNTY | same_cnty | number | Estimated total population that moved within the same county | 1980.0 2254.0 3205.0 3506.0 3926.0 view top 100 |
| SAME_STATE | same_state | number | Estimated total population that moved to a different county within the same state (Colorado) | 1503.0 1511.0 1546.0 1591.0 1629.0 view top 100 |
| DIFF_STATE | diff_state | number | Estimated total population living in a state other than Colorado 1 year ago | 295.0 439.0 1349.0 1461.0 1469.0 view top 100 |
| FRM_ABROAD | frm_abroad | number | Estimated total population living abroad 1 year ago | 108.0 169.0 225.0 255.0 256.0 view top 100 |
| WRKRS_16PL | wrkrs_16pl | number | Estimated total population age 16 years or older who worked in the past 12 months | 10908.0 12481.0 14518.0 17393.0 17689.0 view top 100 |
| CAR_ALL | car_all | number | Estimated total working population 16+ who traveled to work by car | 9707.0 11404.0 12892.0 12995.0 15885.0 view top 100 |
| CAR_ALONE | car_alone | number | Estimated total working population 16+ who traveled to work by car alone | 8331.0 9586.0 10785.0 11058.0 13094.0 view top 100 |
| CAR_CARPOO | car_carpoo | number | Estimated total working population 16+ who traveled to work by car with others | 1376.0 1818.0 1937.0 2107.0 2791.0 view top 100 |
| PUBLIC_TRN | public_trn | number | Estimated total working population 16+ who took public transportation to work | 17.0 24.0 25.0 26.0 359.0 view top 100 |
| PT_BUS | pt_bus | number | Estimated total working population 16+ who rode a bus to work | 17.0 24.0 25.0 26.0 340.0 view top 100 |
| PT_OTHER | pt_other | number | Estimated total working population 16+ who used any other form of public transportation (other than a bus) to work | 0.0 2.0 11.0 43.0 52.0 view top 100 |
| BIKE | bike | number | Estimated total working population 16+ who rode a bike to work | 51.0 60.0 81.0 146.0 330.0 view top 100 |
| WALK | walk | number | Estimated total working population 16+ who walked to work | 384.0 386.0 406.0 435.0 1019.0 view top 100 |
| TR_OTHER | tr_other | number | Estimated total working population 16+ who used any other form of transportation not mentioned previously | 90.0 104.0 143.0 174.0 195.0 view top 100 |
| WRK_HOME | wrk_home | number | Estimated total working population 16+ who worked from home | 499.0 505.0 858.0 1099.0 1624.0 view top 100 |
| W_16PL_NH | w_16pl_nh | number | Estimated total working population 16+ who commuted to work | 10409.0 11976.0 13660.0 15769.0 16590.0 view top 100 |
| T_LESS_10 | t_less_10 | number | Estimated total working population 16+ whose commute time was less than 10 minutes | 3528.0 3748.0 4416.0 4769.0 4944.0 view top 100 |
| T_10_19 | t_10_19 | number | Estimated total working population 16+ whose commute time was from 10 to 19 minutes | 4095.0 4307.0 4945.0 5533.0 6554.0 view top 100 |
| T_20_29 | t_20_29 | number | Estimated total working population 16+ whose commute time was from 20 to 29 minutes | 959.0 1284.0 1932.0 2109.0 2652.0 view top 100 |
| T_30_39 | t_30_39 | number | Estimated total working population 16+ whose commute time was from 30 to 39 minutes | 521.0 615.0 823.0 1075.0 1096.0 view top 100 |
| T_40_59 | t_40_59 | number | Estimated total working population 16+ whose commute time was from 40 to 59 minutes | 417.0 508.0 839.0 977.0 1029.0 view top 100 |
| T_60_PL | t_60_pl | number | Estimated total working population 16+ whose commute time was 60 minutes or higher | 457.0 481.0 705.0 1148.0 1403.0 view top 100 |
| POP_3PL | pop_3pl | number | Estimated total population 3 years old or higher. (Universe for school enrollment) | 21957.0 26837.0 26892.0 39618.0 45876.0 view top 100 |
| ENROLLED | enrolled | number | Estimated total population 3+ who are enrolled in school | 4819.0 5387.0 7465.0 8156.0 9350.0 view top 100 |
| PRESCHOOL | preschool | number | Estimated total population 3+ enrolled in preschool | 298.0 364.0 603.0 644.0 690.0 view top 100 |
| KNDRGRTN | kndrgrtn | number | Estimated total population enrolled in kindergarten | 234.0 258.0 449.0 478.0 628.0 view top 100 |
| GR_1_4 | gr_1_4 | number | Estimated total population enrolled in grades 1-4 | 1024.0 1103.0 1486.0 1634.0 2088.0 view top 100 |
| GR_5_8 | gr_5_8 | number | Estimated total population enrolled in grades 5-8 | 841.0 1097.0 1593.0 1686.0 2177.0 view top 100 |
| GR_9_12 | gr_9_12 | number | Estimated total population enrolled in grades 9-12 | 928.0 1111.0 1836.0 1992.0 2280.0 view top 100 |
| UNDERGRAD | undergrad | number | Estimated total population enrolled in undergraduate studies | 896.0 939.0 1001.0 1473.0 1677.0 view top 100 |
| GRAD_PROF | grad_prof | number | Estimated total population enrolled in graduate studies | 189.0 233.0 237.0 263.0 299.0 view top 100 |
| N_ENROLLED | n_enrolled | number | Population 3 yrs and older not enrolled in school | 16570.0 19427.0 22018.0 30268.0 36073.0 view top 100 |
| BLT_2010_P | blt_2010_p | number | Estimated number of housing units built since 2010 | 4.0 8.0 21.0 55.0 58.0 view top 100 |
| B2000_2009 | b2000_2009 | number | Estimated number of housing units built from 2000 to 2009 | 464.0 1338.0 2885.0 3745.0 4182.0 view top 100 |
| B1990_1999 | b1990_1999 | number | Estimated number of housing units built from 1990 to 1999 | 922.0 1195.0 3248.0 3750.0 5287.0 view top 100 |
| B1980_1989 | b1980_1989 | number | Estimated number of housing units built from 1980 to 1989 | 650.0 984.0 2106.0 2441.0 3993.0 view top 100 |
| B1970_1979 | b1970_1979 | number | Estimated number of housing units built from 1970 to 1979 | 1605.0 2282.0 3581.0 3671.0 4420.0 view top 100 |
| B1960_1969 | b1960_1969 | number | Estimated number of housing units built from 1960 to 1969 | 1017.0 1078.0 1298.0 1491.0 1511.0 view top 100 |
| B1950_1959 | b1950_1959 | number | Estimated number of housing units built from 1950 to 1959 | 234.0 890.0 920.0 1344.0 1605.0 view top 100 |
| B1940_1949 | b1940_1949 | number | Estimated number of housing units built from 1940 to 1949 | 57.0 165.0 397.0 540.0 589.0 view top 100 |
| B1939_E | b1939_e | number | Estimated number of housing units built in 1939 or earlier | 213.0 1936.0 2038.0 2133.0 2163.0 view top 100 |
| OWN_OCC_HU | own_occ_hu | number | Estimated number of owner occupied housing units | 5716.0 6724.0 7766.0 12369.0 12406.0 view top 100 |
| V_L_50K | v_l_50k | number | Estimated number of owner occupied housing units where the home value is less than $50,000 | 296.0 754.0 822.0 923.0 1207.0 view top 100 |
| V50K_100K | v50k_100k | number | Estimated number of owner occupied housing units where the home value is from $50,000 to $99,999 | 150.0 489.0 542.0 760.0 876.0 view top 100 |
| V100K_150K | v100k_150k | number | Estimated number of owner occupied housing units where the home value is from $100,000 to $149,999 | 176.0 529.0 608.0 1400.0 1411.0 view top 100 |
| V150K_200K | v150k_200k | number | Estimated number of owner occupied housing units where the home value is from $150,000 to $199,999 | 365.0 820.0 855.0 1224.0 1515.0 view top 100 |
| V200K_250K | v200k_250k | number | Estimated number of owner occupied housing units where the home value is from $200,000 to $249,999 | 339.0 476.0 539.0 811.0 1174.0 view top 100 |
| V250K_300K | v250k_300k | number | Estimated number of owner occupied housing units where the home value is from $250,000 to $299,999 | 226.0 276.0 404.0 744.0 997.0 view top 100 |
| V300K_400K | v300k_400k | number | Estimated number of owner occupied housing units where the home value is from $300,000 to $399,999 | 150.0 417.0 839.0 1319.0 1437.0 view top 100 |
| V400K_500K | v400k_500k | number | Estimated number of owner occupied housing units where the home value is from $400,000 to $499,999 | 38.0 139.0 326.0 631.0 777.0 view top 100 |
| V500K_750K | v500k_750k | number | Estimated number of owner occupied housing units where the home value is from $500,000 to $749,999 | 49.0 99.0 266.0 455.0 593.0 view top 100 |
| V750K_1M | v750k_1m | number | Estimated number of owner occupied housing units where the home value is from $750,000 to $999,999 | 23.0 65.0 66.0 72.0 199.0 view top 100 |
| V_1M_PLUS | v_1m_plus | number | Estimated number of owner occupied housing units where the home value is $1,000,000 or higher | 29.0 30.0 111.0 147.0 241.0 view top 100 |
| RNT_OCC_HU | rnt_occ_hu | number | Estimated number of renter occupied housing units | 2304.0 3592.0 3765.0 4326.0 4831.0 view top 100 |
| RNTL400 | rntl400 | number | Estimated number of renter occupied housing units where the gross rent is less than $400 | 71.0 151.0 257.0 373.0 442.0 view top 100 |
| R400T599 | r400t599 | number | Estimated number of renter occupied housing units where the gross rent is from $400 to $599 | 94.0 305.0 409.0 575.0 598.0 view top 100 |
| R600T799 | r600t799 | number | Estimated number of renter occupied housing units where the gross rent is from $600 to $799 | 339.0 655.0 780.0 894.0 901.0 view top 100 |
| R800T999 | r800t999 | number | Estimated number of renter occupied housing units where the gross rent is from $800 to $999 | 219.0 639.0 674.0 693.0 865.0 view top 100 |
| R1000T1249 | r1000t1249 | number | Estimated number of renter occupied housing units where the gross rent is from $1,000 to $1,249 | 139.0 187.0 498.0 648.0 892.0 view top 100 |
| R1250T1499 | r1250t1499 | number | Estimated number of renter occupied housing units where the gross rent is from $1,250 to $1,499 | 48.0 92.0 114.0 214.0 550.0 view top 100 |
| R1500T1999 | r1500t1999 | number | Estimated number of renter occupied housing units where the gross rent is from $1,500 to $1,999 | 16.0 61.0 77.0 79.0 438.0 view top 100 |
| R2000PL | r2000pl | number | Estimated number of renter occupied housing units where the gross rent is greater than $2000 | 0.0 7.0 65.0 152.0 219.0 view top 100 |
| RNOCSHR | rnocshr | number | Estimated number of renter occupied housing units where the householder pays no cash rent | 255.0 256.0 364.0 416.0 463.0 view top 100 |
| PS_Uni | ps_uni | number | Estimated total population for whom poverty status is determined | 21537.0 27416.0 27610.0 35583.0 40368.0 view top 100 |
| PS_BELOW | ps_below | number | Estimated population for whom poverty status is below the poverty level | 3249.0 3426.0 4002.0 5376.0 5510.0 view top 100 |
| PS_BEL150 | ps_bel150 | number | Estimated population for whom poverty status is below 150% the poverty level | 4654.0 6217.0 7899.0 9027.0 9605.0 view top 100 |
| PUNI_L18 | puni_l18 | number | The number of people under 18 for whom poverty status is determined | 4431.0 4743.0 7257.0 7670.0 9788.0 view top 100 |
| PUNI_65PL | puni_65pl | number | Estimated population who is over 65 years of age for whom poverty status is determined | 2304.0 3138.0 3298.0 3696.0 5914.0 view top 100 |
| POV_L18 | pov_l18 | number | Estimated population who is under 18 years of age where the status is below the poverty line | 629.0 1103.0 1123.0 1454.0 1692.0 view top 100 |
| POV_65PL | pov_65pl | number | Estimated population who is over 65 years of age where the status is below the poverty line | 45.0 220.0 257.0 273.0 473.0 view top 100 |
| AVGHHSIZE | avghhsize | number | Estimated average household size of occupied housing units | 2.08 2.34 2.39 2.4 2.41 view top 100 |
| HHI_L20K | hhi_l20k | number | Estimated number of households whose income in the past 12 months is less than $20,000 | 1149.0 1423.0 2072.0 2338.0 2609.0 view top 100 |
| HHI20_30 | hhi20_30 | number | Estimated number of households whose income in the past 12 months is from $20,000 and $29,999 | 793.0 1337.0 1383.0 1665.0 1843.0 view top 100 |
| HHI30_40 | hhi30_40 | number | Estimated number of households whose income in the past 12 months is from $30,000 and $39,999 | 1129.0 1172.0 1378.0 1957.0 2121.0 view top 100 |
| HHI40_50 | hhi40_50 | number | Estimated number of households whose income in the past 12 months is between $40,000 and $49,999 | 848.0 891.0 1120.0 1731.0 1799.0 view top 100 |
| HHI50_60 | hhi50_60 | number | Estimated number of households whose income in the past 12 months is between $50,000 and $59,999 | 702.0 981.0 1132.0 1360.0 1866.0 view top 100 |
| HHI60_75 | hhi60_75 | number | Estimated number of households whose income in the past 12 months is between $60,000 and $74,999 | 601.0 1004.0 1453.0 1845.0 1883.0 view top 100 |
| HHI75_100 | hhi75_100 | number | Estimated number of households whose income in the past 12 months is between $75,000 and $99,999 | 939.0 1199.0 1482.0 1949.0 2206.0 view top 100 |
| HHI100_125 | hhi100_125 | number | Estimated number of households whose income in the past 12 months is between $100,000 and $124,999 | 442.0 498.0 807.0 1025.0 1027.0 view top 100 |
| HHI125_150 | hhi125_150 | number | Estimated number of households whose income in the past 12 months is between $125,000 and $149,999 | 171.0 353.0 355.0 408.0 519.0 view top 100 |
| HHI150_200 | hhi150_200 | number | Estimated number of households whose income in the past 12 months is between $150,000 and $199,999 | 167.0 214.0 297.0 311.0 840.0 view top 100 |
| HHI_200_PL | hhi_200_pl | number | The number of households with income greater than $200,000 annually | 158.0 161.0 230.0 282.0 598.0 view top 100 |
| CIV_NI_POP | civ_ni_pop | number | Estimated total population of civilians not institutionalized (disabled and not disabled) | 21912.0 27544.0 27693.0 35742.0 40552.0 view top 100 |
| DISABLED | disabled | number | Estimated population of civilian non-institutionalized that are disabled | 1037.0 2566.0 2895.0 2946.0 4590.0 view top 100 |
| POP16_PLS | pop16_pls | number | Estimated population 16 years and over | 18596.0 21273.0 23353.0 32334.0 40508.0 view top 100 |
| LABORFORCE | laborforce | number | Estimated number of people in the labor force | 12294.0 13786.0 15940.0 18944.0 20137.0 view top 100 |
| CIV_LF | civ_lf | number | Estimated number of people in the civilian labor force | 12242.0 13786.0 15870.0 18944.0 20124.0 view top 100 |
| EMP | emp | number | Estimated number of people in the civilian labor force that are employed | 11022.0 12758.0 14687.0 17805.0 18110.0 view top 100 |
| UNEMP | unemp | number | Estimated number of people in the civilian labor force that are not employed | 1028.0 1139.0 1183.0 1220.0 1815.0 view top 100 |
| ARMEDFRCS | armedfrcs | number | Estimated number of people in the armed forces | 0.0 10.0 13.0 30.0 52.0 view top 100 |
| NOT_LF | not_lf | number | Estimated number of people not in the labor force | 4409.0 6302.0 7487.0 8487.0 12197.0 view top 100 |
| CIV_NI_P | civ_ni_p | number | Estimated total civilian non-institutionalized population | 21912.0 27544.0 27693.0 35742.0 40552.0 view top 100 |
| INSURED | insured | number | The number of people that have health insurance | 17820.0 21717.0 22346.0 30423.0 31800.0 view top 100 |
| NOT_INS | not_ins | number | The number of people that do not have health insurance | 4092.0 5198.0 5319.0 5976.0 8752.0 view top 100 |
| LOGRECNO_1 | logrecno_1 | text | The Logical Record Number, a unique identifier | 0009430 0009431 0009432 0009433 0009434 view top 100 |
| MPOP0812 | mpop0812 | number | 0.0 view top 100 | |
| MHISPANIC | mhispanic | number | 0.0 157.0 348.0 view top 100 | |
| MWHITE_NH | mwhite_nh | number | 9.0 29.0 57.0 120.0 143.0 view top 100 | |
| MBLACK_NH | mblack_nh | number | 11.0 39.0 104.0 106.0 107.0 view top 100 | |
| MNTVAM_NH | mntvam_nh | number | 48.0 53.0 60.0 69.0 136.0 view top 100 | |
| MASIAN_NH | masian_nh | number | 200.0 55.0 79.0 107.0 141.0 view top 100 | |
| MHAWPI_NH | mhawpi_nh | number | 59.0 54.0 18.0 23.0 36.0 view top 100 | |
| MOTHER_NH | mother_nh | number | 13.0 23.0 51.0 101.0 116.0 view top 100 | |
| MTWOPLUS_N | mtwoplus_n | number | 91.0 93.0 106.0 118.0 170.0 view top 100 | |
| MMALE | mmale | number | 146.0 138.0 105.0 116.0 140.0 view top 100 | |
| MFEMALE | mfemale | number | 146.0 138.0 105.0 116.0 140.0 view top 100 | |
| MAGELESS10 | mageless10 | number | 157.0 229.0 252.0 260.0 264.0 view top 100 | |
| MAGELESS18 | mageless18 | number | 228.0 310.0 337.0 343.0 361.0 view top 100 | |
| MAGE18_24 | mage18_24 | number | 204.0 241.0 297.0 376.0 385.0 view top 100 | |
| MAGE25_34 | mage25_34 | number | 56.0 116.0 138.0 149.0 161.0 view top 100 | |
| MAGE35_44 | mage35_44 | number | 279.0 309.0 348.0 404.0 431.0 view top 100 | |
| MAGE45_64 | mage45_64 | number | 283.0 287.0 381.0 410.0 418.0 view top 100 | |
| MAGE65PLUS | mage65plus | number | 255.0 295.0 312.0 334.0 345.0 view top 100 | |
| MAGE_0_9 | mage_0_9 | number | 157.0 229.0 252.0 260.0 264.0 view top 100 | |
| MAGE_10_19 | mage_10_19 | number | 212.0 225.0 278.0 286.0 311.0 view top 100 | |
| MAGE_20_29 | mage_20_29 | number | 371.0 232.0 356.0 408.0 492.0 view top 100 | |
| MAGE_30_39 | mage_30_39 | number | 203.0 232.0 251.0 342.0 374.0 view top 100 | |
| MAGE_40_49 | mage_40_49 | number | 199.0 251.0 253.0 321.0 325.0 view top 100 | |
| MAGE_50_59 | mage_50_59 | number | 193.0 197.0 230.0 255.0 264.0 view top 100 | |
| MAGE_60_69 | mage_60_69 | number | 225.0 260.0 357.0 364.0 397.0 view top 100 | |
| MAGE_70_79 | mage_70_79 | number | 150.0 174.0 191.0 197.0 218.0 view top 100 | |
| MAGE_80_PL | mage_80_pl | number | 85.0 134.0 156.0 168.0 176.0 view top 100 | |
| MMED_AGE | mmed_age | number | 0.4 0.2 0.1 0.5 0.3 view top 100 | |
| MHOUSEHOLD | mhousehold | number | 717.0 207.0 314.0 434.0 518.0 view top 100 | |
| MFAMILYHH | mfamilyhh | number | 279.0 322.0 416.0 440.0 454.0 view top 100 | |
| MNONFAMHH | mnonfamhh | number | 296.0 310.0 404.0 445.0 492.0 view top 100 | |
| MHHLDRALON | mhhldralon | number | 274.0 287.0 376.0 400.0 424.0 view top 100 | |
| MHHLDR_NAL | mhhldr_nal | number | 98.0 133.0 182.0 240.0 336.0 view top 100 | |
| MHOUSING_U | mhousing_u | number | 71.0 81.0 96.0 98.0 148.0 view top 100 | |
| MOCC_HU | mocc_hu | number | 717.0 207.0 314.0 434.0 518.0 view top 100 | |
| MVAC_HU | mvac_hu | number | 181.0 187.0 274.0 291.0 460.0 view top 100 | |
| MOWNED | mowned | number | 277.0 335.0 368.0 438.0 481.0 view top 100 | |
| MRENTED | mrented | number | 241.0 341.0 355.0 363.0 479.0 view top 100 | |
| MPOP25PLUS | mpop25plus | number | 138.0 108.0 116.0 118.0 124.0 view top 100 | |
| MNOHSDIPL | mnohsdipl | number | 287.0 327.0 360.0 434.0 494.0 view top 100 | |
| MHSGRAD_SC | mhsgrad_sc | number | 614.0 643.0 821.0 822.0 867.0 view top 100 | |
| MBACHL_HGH | mbachl_hgh | number | 305.0 325.0 424.0 521.0 679.0 view top 100 | |
| MMED_HH_IN | mmed_hh_in | number | 377.0 740.0 1020.0 1049.0 1278.0 view top 100 | |
| MMED_FAM_I | mmed_fam_i | number | 630.0 936.0 1293.0 1322.0 1466.0 view top 100 | |
| MPER_CAP_I | mper_cap_i | number | 203.0 302.0 428.0 474.0 505.0 view top 100 | |
| MMED_YR_BL | mmed_yr_bl | number | 1.0 2.0 3.0 view top 100 | |
| MMED_C_REN | mmed_c_ren | number | 37.0 14.0 12.0 13.0 20.0 view top 100 | |
| MMED_G_REN | mmed_g_ren | number | 16.0 10.0 18.0 24.0 30.0 view top 100 | |
| MMED_HM_VA | mmed_hm_va | number | 843.0 2009.0 2602.0 2614.0 2658.0 view top 100 | |
| MCITZ_BIRT | mcitz_birt | number | 374.0 396.0 456.0 458.0 497.0 view top 100 | |
| MCITZ_NAT | mcitz_nat | number | 168.0 184.0 189.0 203.0 217.0 view top 100 | |
| MNOT_CITZ | mnot_citz | number | 244.0 261.0 379.0 412.0 486.0 view top 100 | |
| MBORN_IN_C | mborn_in_c | number | 549.0 579.0 628.0 660.0 782.0 view top 100 | |
| MBRN_OTH_S | mbrn_oth_s | number | 498.0 539.0 569.0 619.0 714.0 view top 100 | |
| MNTV_B_O_U | mntv_b_o_u | number | 51.0 96.0 120.0 124.0 134.0 view top 100 | |
| MFOREIGN_B | mforeign_b | number | 298.0 418.0 449.0 464.0 539.0 view top 100 | |
| MPOP_1P | mpop_1p | number | 303.0 100.0 119.0 124.0 146.0 view top 100 | |
| MSAME_HOUS | msame_hous | number | 645.0 772.0 804.0 828.0 894.0 view top 100 | |
| MSAME_CNTY | msame_cnty | number | 433.0 539.0 637.0 656.0 662.0 view top 100 | |
| MSAME_STAT | msame_stat | number | 382.0 400.0 415.0 464.0 468.0 view top 100 | |
| MDIFF_STAT | mdiff_stat | number | 147.0 234.0 320.0 322.0 429.0 view top 100 | |
| MFRM_ABROA | mfrm_abroa | number | 68.0 124.0 128.0 167.0 173.0 view top 100 | |
| MWRKRS_16P | mwrkrs_16p | number | 434.0 548.0 559.0 564.0 605.0 view top 100 | |
| MCAR_ALL | mcar_all | number | 431.0 534.0 540.0 647.0 671.0 view top 100 | |
| MCAR_ALONE | mcar_alone | number | 477.0 538.0 553.0 563.0 594.0 view top 100 | |
| MCAR_CARPO | mcar_carpo | number | 305.0 308.0 363.0 373.0 479.0 view top 100 | |
| MPUBLIC_TR | mpublic_tr | number | 20.0 28.0 31.0 40.0 134.0 view top 100 | |
| MPT_BUS | mpt_bus | number | 20.0 28.0 31.0 40.0 129.0 view top 100 | |
| MPT_OTHER | mpt_other | number | 46.0 52.0 58.0 53.0 55.0 view top 100 | |
| MBIKE | mbike | number | 41.0 47.0 66.0 120.0 142.0 view top 100 | |
| MWALK | mwalk | number | 125.0 145.0 157.0 176.0 210.0 view top 100 | |
| MTR_OTHER | mtr_other | number | 45.0 53.0 84.0 94.0 105.0 view top 100 | |
| MWRK_HOME | mwrk_home | number | 364.0 154.0 171.0 264.0 338.0 view top 100 | |
| MW_16PL_NH | mw_16pl_nh | number | 463.0 550.0 565.0 587.0 624.0 view top 100 | |
| MT_LESS_10 | mt_less_10 | number | 834.0 422.0 457.0 465.0 497.0 view top 100 | |
| MT_10_19 | mt_10_19 | number | 394.0 469.0 485.0 576.0 654.0 view top 100 | |
| MT_20_29 | mt_20_29 | number | 193.0 235.0 302.0 372.0 452.0 view top 100 | |
| MT_30_39 | mt_30_39 | number | 126.0 153.0 168.0 248.0 309.0 view top 100 | |
| MT_40_59 | mt_40_59 | number | 121.0 145.0 196.0 227.0 259.0 view top 100 | |
| MT_60_PL | mt_60_pl | number | 127.0 156.0 201.0 234.0 255.0 view top 100 | |
| MPOP_3PL | mpop_3pl | number | 151.0 309.0 139.0 173.0 367.0 view top 100 | |
| MENROLLED | menrolled | number | 294.0 349.0 355.0 364.0 391.0 view top 100 | |
| MPRESCHOOL | mpreschool | number | 114.0 127.0 129.0 145.0 151.0 view top 100 | |
| MKNDRGRTN | mkndrgrtn | number | 103.0 113.0 117.0 139.0 153.0 view top 100 | |
| MGR_1_4 | mgr_1_4 | number | 131.0 185.0 226.0 233.0 263.0 view top 100 | |
| MGR_5_8 | mgr_5_8 | number | 129.0 179.0 180.0 214.0 231.0 view top 100 | |
| MGR_9_12 | mgr_9_12 | number | 110.0 134.0 170.0 172.0 184.0 view top 100 | |
| MUNDERGRAD | mundergrad | number | 210.0 235.0 253.0 262.0 292.0 view top 100 | |
| MGRAD_PROF | mgrad_prof | number | 75.0 80.0 99.0 103.0 133.0 view top 100 | |
| MN_ENROLLE | mn_enrolle | number | 293.0 344.0 367.0 374.0 394.0 view top 100 | |
| MBLT_2010_ | mblt_2010_ | number | 9.0 16.0 17.0 50.0 55.0 view top 100 | |
| MB2000_201 | mb2000_201 | number | 147.0 184.0 288.0 377.0 463.0 view top 100 | |
| MB1990_199 | mb1990_199 | number | 190.0 224.0 368.0 394.0 437.0 view top 100 | |
| MB1980_198 | mb1980_198 | number | 158.0 199.0 324.0 338.0 434.0 view top 100 | |
| MB1970_197 | mb1970_197 | number | 225.0 318.0 330.0 337.0 404.0 view top 100 | |
| MB1960_196 | mb1960_196 | number | 192.0 193.0 250.0 281.0 283.0 view top 100 | |
| MB1950_195 | mb1950_195 | number | 120.0 207.0 213.0 214.0 227.0 view top 100 | |
| MB1940_194 | mb1940_194 | number | 65.0 79.0 118.0 146.0 151.0 view top 100 | |
| MB1939_E | mb1939_e | number | 103.0 219.0 225.0 265.0 300.0 view top 100 | |
| MOWN_OCC_H | mown_occ_h | number | 277.0 335.0 368.0 438.0 481.0 view top 100 | |
| MV_L_50K | mv_l_50k | number | 156.0 180.0 194.0 210.0 227.0 view top 100 | |
| MV50K_100K | mv50k_100k | number | 109.0 152.0 166.0 174.0 183.0 view top 100 | |
| MV100K_150 | mv100k_150 | number | 116.0 146.0 207.0 231.0 234.0 view top 100 | |
| MV150K_200 | mv150k_200 | number | 152.0 162.0 171.0 245.0 306.0 view top 100 | |
| MV200K_250 | mv200k_250 | number | 107.0 110.0 185.0 190.0 208.0 view top 100 | |
| MV250K_300 | mv250k_300 | number | 68.0 89.0 159.0 176.0 187.0 view top 100 | |
| MV300K_400 | mv300k_400 | number | 77.0 144.0 153.0 230.0 278.0 view top 100 | |
| MV400K_500 | mv400k_500 | number | 34.0 55.0 103.0 133.0 188.0 view top 100 | |
| MV500K_750 | mv500k_750 | number | 40.0 56.0 100.0 128.0 175.0 view top 100 | |
| MV750K_1M | mv750k_1m | number | 20.0 40.0 50.0 62.0 83.0 view top 100 | |
| MV_1M_PLUS | mv_1m_plus | number | 29.0 37.0 54.0 77.0 92.0 view top 100 | |
| MRNT_OCC_H | mrnt_occ_h | number | 241.0 341.0 355.0 363.0 479.0 view top 100 | |
| MRNTL400 | mrntl400 | number | 83.0 100.0 147.0 150.0 160.0 view top 100 | |
| MR400T599 | mr400t599 | number | 213.0 134.0 141.0 178.0 181.0 view top 100 | |
| MR600T799 | mr600t799 | number | 168.0 181.0 188.0 214.0 278.0 view top 100 | |
| MR800T999 | mr800t999 | number | 104.0 194.0 203.0 219.0 241.0 view top 100 | |
| MR1000T124 | mr1000t124 | number | 73.0 81.0 137.0 194.0 218.0 view top 100 | |
| MR1250T149 | mr1250t149 | number | 49.0 53.0 61.0 103.0 212.0 view top 100 | |
| MR1500T199 | mr1500t199 | number | 17.0 54.0 64.0 76.0 137.0 view top 100 | |
| MR2000PL | mr2000pl | number | 23.0 63.0 95.0 104.0 129.0 view top 100 | |
| MRNOCSHR | mrnocshr | number | 105.0 111.0 140.0 143.0 146.0 view top 100 | |
| MPS_Uni | mps_uni | number | 101.0 121.0 177.0 186.0 284.0 view top 100 | |
| MPS_BELOW | mps_below | number | 673.0 750.0 751.0 794.0 826.0 view top 100 | |
| MPS_BEL150 | mps_bel150 | number | 885.0 981.0 998.0 1029.0 1185.0 view top 100 | |
| MPUNI_L18 | mpuni_l18 | number | 339.0 452.0 453.0 493.0 506.0 view top 100 | |
| MPUNI_65PL | mpuni_65pl | number | 156.0 160.0 165.0 185.0 253.0 view top 100 | |
| MPOV_L18 | mpov_l18 | number | 190.0 208.0 226.0 274.0 288.0 view top 100 | |
| MPOV_65PL | mpov_65pl | number | 47.0 86.0 87.0 111.0 155.0 view top 100 | |
| MAVGHHSIZE | mavghhsize | number | 0.02 0.04 0.01 0.13 0.06 view top 100 | |
| MHHI_L20K | mhhi_l20k | number | 240.0 285.0 300.0 353.0 354.0 view top 100 | |
| MHHI20_30 | mhhi20_30 | number | 238.0 255.0 294.0 297.0 299.0 view top 100 | |
| MHHI30_40 | mhhi30_40 | number | 193.0 236.0 260.0 289.0 312.0 view top 100 | |
| MHHI40_50 | mhhi40_50 | number | 204.0 250.0 267.0 276.0 322.0 view top 100 | |
| MHHI50_60 | mhhi50_60 | number | 169.0 211.0 251.0 275.0 278.0 view top 100 | |
| MHHI60_75 | mhhi60_75 | number | 115.0 172.0 261.0 265.0 273.0 view top 100 | |
| MHHI75_100 | mhhi75_100 | number | 188.0 214.0 230.0 316.0 319.0 view top 100 | |
| MHHI100_12 | mhhi100_12 | number | 116.0 138.0 187.0 207.0 211.0 view top 100 | |
| MHHI125_15 | mhhi125_15 | number | 58.0 111.0 112.0 140.0 165.0 view top 100 | |
| MHHI150_20 | mhhi150_20 | number | 79.0 101.0 113.0 119.0 166.0 view top 100 | |
| MHHI_200_P | mhhi_200_p | number | 75.0 79.0 87.0 112.0 140.0 view top 100 | |
| MCIV_NI_PO | mciv_ni_po | number | 40.0 72.0 142.0 158.0 163.0 view top 100 | |
| MDISABLED | mdisabled | number | 260.0 318.0 326.0 373.0 404.0 view top 100 | |
| MPOP16_PLS | mpop16_pls | number | 88.0 132.0 146.0 147.0 149.0 view top 100 | |
| MLABORFORC | mlaborforc | number | 394.0 421.0 514.0 535.0 544.0 view top 100 | |
| MCIV_LF | mciv_lf | number | 394.0 421.0 514.0 537.0 545.0 view top 100 | |
| MEMP | memp | number | 427.0 493.0 569.0 578.0 582.0 view top 100 | |
| MUNEMP | munemp | number | 221.0 223.0 277.0 333.0 352.0 view top 100 | |
| MARMEDFRCS | marmedfrcs | number | 23.0 54.0 50.0 53.0 65.0 view top 100 | |
| MNOT_LF | mnot_lf | number | 430.0 431.0 509.0 537.0 549.0 view top 100 | |
| MCIV_NI_P | mciv_ni_p | number | 40.0 72.0 142.0 158.0 163.0 view top 100 | |
| MINSURED | minsured | number | 525.0 568.0 648.0 649.0 664.0 view top 100 | |
| MNOT_INS | mnot_ins | number | 471.0 486.0 490.0 590.0 597.0 view top 100 |