Colorado Information Marketplace

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Author
Colorado Information Marketplace
Description
American Community Survey Census data includes demographics, education level, commute information, and more subset to Colorado by the Department of Local Affairs (DOLA).
Category
Demographics
Tags
gocodecolorado, colorado, census, zip codes, american community survey, location, geospatial, gis
Rating
Current value: 0 out of 5
Data Provided By
DOLA - Department of Local Affairs
Source Link
https://www2.census.gov/geo/tiger/TIGER_DP/2016ACS/ACS_2016_5YR_ZCTA.gdb.zip
License
Public Domain
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Size
  • 500x425

  • 760x646

  • 950x808

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The Socrata Open Data API (SODA) provides programmatic access to this dataset including the ability to filter, query, and aggregate data. For more more information, view the API docs for this dataset below or visit our developer portal

geometry

API Endpoint:

Field Names:

hispanic
hispanic
the_geom
the_geom
geoid10
geoid10
pop
pop
white_nh
white_nh
black_nh
black_nh
ntvam_nh
ntvam_nh
asian_nh
asian_nh
hawpi_nh
hawpi_nh
other_nh
other_nh
twoplus_nh
twoplus_nh
male
male
female
female
ageless5
ageless5
age5_9
age5_9
age10_14
age10_14
age15_19
age15_19
age20_24
age20_24
age25_29
age25_29
age30_34
age30_34
age35_39
age35_39
age40_44
age40_44
age45_49
age45_49
age50_54
age50_54
age55_59
age55_59
age60_64
age60_64
age65_69
age65_69
age70_74
age70_74
age75_79
age75_79
age80_84
age80_84
age85pl
age85pl
ageless18
ageless18
age18_24
age18_24
med_age
med_age
households
households
familyhh
familyhh
nonfamhh
nonfamhh
hhldralone
hhldralone
hhldr_naln
hhldr_naln
housing_un
housing_un
occ_hu
occ_hu
vac_hu
vac_hu
owned
owned
rented
rented
pop25plus
pop25plus
nohsdipl
nohsdipl
hsgrad_sc
hsgrad_sc
bachl_hghr
bachl_hghr
med_hh_inc
med_hh_inc
med_fam_in
med_fam_in
per_cap_in
per_cap_in
med_yr_blt
med_yr_blt
med_c_rent
med_c_rent
med_g_rent
med_g_rent
med_hm_val
med_hm_val
citz_birth
citz_birth
citz_nat
citz_nat
not_citz
not_citz
born_in_co
born_in_co
brn_oth_st
brn_oth_st
ntv_b_o_us
ntv_b_o_us
foreign_b
foreign_b
pop_1p
pop_1p
same_house
same_house
same_cnty
same_cnty
same_state
same_state
diff_state
diff_state
frm_abroad
frm_abroad
wrkrs_16pl
wrkrs_16pl
car_all
car_all
car_alone
car_alone
car_carpoo
car_carpoo
public_trn
public_trn
pt_bus
pt_bus
pt_other
pt_other
bike
bike
walk
walk
tr_other
tr_other
wrk_home
wrk_home
w_16pl_nh
w_16pl_nh
t_less_10
t_less_10
t_10_19
t_10_19
t_20_29
t_20_29
t_30_39
t_30_39
t_40_59
t_40_59
t_60_pl
t_60_pl
pop_3pl
pop_3pl
enrolled
enrolled
preschool
preschool
kndrgrtn
kndrgrtn
gr_1_4
gr_1_4
gr_5_8
gr_5_8
gr_9_12
gr_9_12
undergrad
undergrad
grad_prof
grad_prof
n_enrolled
n_enrolled
blt_2010_p
blt_2010_p
b2000_2009
b2000_2009
b1990_1999
b1990_1999
b1980_1989
b1980_1989
b1970_1979
b1970_1979
b1960_1969
b1960_1969
b1950_1959
b1950_1959
b1940_1949
b1940_1949
b1939_e
b1939_e
own_occ_hu
own_occ_hu
v_l_50k
v_l_50k
v50k_100k
v50k_100k
v100k_150k
v100k_150k
v150k_200k
v150k_200k
v200k_250k
v200k_250k
v250k_300k
v250k_300k
v300k_400k
v300k_400k
v400k_500k
v400k_500k
v500k_750k
v500k_750k
v750k_1m
v750k_1m
v_1m_plus
v_1m_plus
rnt_occ_hu
rnt_occ_hu
rntl400
rntl400
r400T599
r_400_t599
r600T799
r_600_t799
r800t999
r800t999
r1000t1249
r1000t1249
r1250t1499
r1250t1499
r1500t1999
r1500t1999
r2000pl
r2000pl
rnocshr
rnocshr
ps_uni
ps_uni
ps_below
ps_below
ps_bel150
ps_bel150
tot_l18
tot_l18
puni_65pl
puni_65pl
pov_l18
pov_l18
pov_65pl
pov_65pl
avghhsize
avghhsize
hhi_l20k
hhi_l20k
hhi20_30
hhi20_30
hhi30_40
hhi30_40
hhi40_50
hhi40_50
hhi50_60
hhi50_60
hhi60_75
hhi60_75
hhi75_100
hhi75_100
hhi100_125
hhi100_125
hhi125_150
hhi125_150
hhi150_200
hhi150_200
hhi200_pl
hhi200_pl
civ_ni_pop
civ_ni_pop
disabled
disabled
pop16_pls
pop16_pls
laborforce
laborforce
civ_lf
civ_lf
emp
emp
unemp
unemp
armedfrcs
armedfrcs
not_lf
not_lf
civ_ni_p
civ_ni_p

zip_codes_2016

API Endpoint:

Field Names:

the_geom
the_geom
zip_code
zip_code
pop
pop
hispanic
hispanic
white_nh
white_nh
black_nh
black_nh
ntvam_nh
ntvam_nh
asian_nh
asian_nh
hawpi_nh
hawpi_nh
other_nh
other_nh
twoplus_nh
twoplus_nh
male
male
female
female
ageless5
ageless5
age5_9
age5_9
age10_14
age10_14
age15_19
age15_19
age20_24
age20_24
age25_29
age25_29
age30_34
age30_34
age35_39
age35_39
age40_44
age40_44
age45_49
age45_49
age50_54
age50_54
age55_59
age55_59
age60_64
age60_64
age65_69
age65_69
age70_74
age70_74
age75_79
age75_79
age80_84
age80_84
age85pl
age85pl
ageless18
ageless18
age18_24
age18_24
med_age
med_age
households
households
familyhh
familyhh
nonfamhh
nonfamhh
hhldralone
hhldralone
hhldr_naln
hhldr_naln
housing_un
housing_un
occ_hu
occ_hu
vac_hu
vac_hu
owned
owned
rented
rented
pop25plus
pop25plus
nohsdipl
nohsdipl
hsgrad_sc
hsgrad_sc
bachl_hghr
bachl_hghr
med_hh_inc
med_hh_inc
med_fam_in
med_fam_in
per_cap_in
per_cap_in
med_yr_blt
med_yr_blt
med_c_rent
med_c_rent
med_g_rent
med_g_rent
med_hm_val
med_hm_val
citz_birth
citz_birth
citz_nat
citz_nat
not_citz
not_citz
born_in_co
born_in_co
brn_oth_st
brn_oth_st
ntv_b_o_us
ntv_b_o_us
foreign_b
foreign_b
pop_1p
pop_1p
same_house
same_house
same_cnty
same_cnty
same_state
same_state
diff_state
diff_state
frm_abroad
frm_abroad
wrkrs_16pl
wrkrs_16pl
car_all
car_all
car_alone
car_alone
car_carpoo
car_carpoo
public_trn
public_trn
pt_bus
pt_bus
pt_other
pt_other
bike
bike
walk
walk
tr_other
tr_other
wrk_home
wrk_home
w_16pl_nh
w_16pl_nh
t_less_10
t_less_10
t_10_19
t_10_19
t_20_29
t_20_29
t_30_39
t_30_39
t_40_59
t_40_59
t_60_pl
t_60_pl
pop_3pl
pop_3pl
enrolled
enrolled
preschool
preschool
kndrgrtn
kndrgrtn
gr_1_4
gr_1_4
gr_5_8
gr_5_8
gr_9_12
gr_9_12
undergrad
undergrad
grad_prof
grad_prof
n_enrolled
n_enrolled
blt_2010_p
blt_2010_p
b2000_2009
b2000_2009
b1990_1999
b1990_1999
b1980_1989
b1980_1989
b1970_1979
b1970_1979
b1960_1969
b1960_1969
b1950_1959
b1950_1959
b1940_1949
b1940_1949
b1939_e
b1939_e
own_occ_hu
own_occ_hu
v_l_50k
v_l_50k
v50k_100k
v50k_100k
v100k_150k
v100k_150k
v150k_200k
v150k_200k
v200k_250k
v200k_250k
v250k_300k
v250k_300k
v300k_400k
v300k_400k
v400k_500k
v400k_500k
v500k_750k
v500k_750k
v750k_1m
v750k_1m
v_1m_plus
v_1m_plus
rnt_occ_hu
rnt_occ_hu
rntl400
rntl400
r400T599
r_400_t599
r600T799
r_600_t799
r800t999
r800t999
r1000t1249
r1000t1249
r1250t1499
r1250t1499
r1500t1999
r1500t1999
r2000pl
r2000pl
rnocshr
rnocshr
ps_uni
ps_uni
ps_below
ps_below
ps_bel150
ps_bel150
tot_l18
tot_l18
puni_65pl
puni_65pl
pov_l18
pov_l18
pov_65pl
pov_65pl
avghhsize
avghhsize
hhi_l20k
hhi_l20k
hhi20_30
hhi20_30
hhi30_40
hhi30_40
hhi40_50
hhi40_50
hhi50_60
hhi50_60
hhi60_75
hhi60_75
hhi75_100
hhi75_100
hhi100_125
hhi100_125
hhi125_150
hhi125_150
hhi150_200
hhi150_200
hhi200_pl
hhi200_pl
civ_ni_pop
civ_ni_pop
disabled
disabled
pop16_pls
pop16_pls
laborforce
laborforce
civ_lf
civ_lf
emp
emp
unemp
unemp
armedfrcs
armedfrcs
not_lf
not_lf
civ_ni_p
civ_ni_p

Use OData to open the dataset in tools like Excel or Tableau. This provides a direct connection to the data that can be refreshed on-demand within the connected application.

Socrata OData documentation

Tableau users should select the OData v2 endpoint option.

OData V4 Endpoint:

OData V2 Endpoint:

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