IPUMS NHGIS Dataset Metadata
NHGIS summary tables are organized into datasets distinguished by the years, geographic levels and topics they cover; by the data source and survey coverage (e.g., sample-based vs. 100% count); and by the breakdown variables available. An overview of datasets and a catalog of source documentation are available on the NHGIS website.
Get High-Level Metadata for All Datasets
Get All Datasets
This API call will return a list of all available datasets. The entry for each dataset includes metadata for the dataset’s name and description. The unique identifier for each dataset is in the name
field. This is needed for retrieving details about a single dataset (see next section).
my_headers = {"Authorization": my_key}
url = "https://api.ipums.org/metadata/nhgis/datasets?version=2"
nhgis_metadata = requests.get(url, headers=my_headers)
pprint(nhgis_metadata.json())
# Results
{ 'data': [ { 'description': 'Population Data [US, States & Counties]',
'group': '1790 Census',
'name': '1790_cPop',
'sequence': 101},
{ 'description': 'Population Data [US, States & Counties]',
'group': '1800 Census',
'name': '1800_cPop',
'sequence': 201},
{ 'description': 'Population Data [US, States & Counties]',
'group': '1810 Census',
'name': '1810_cPop',
'sequence': 301},
{ 'description': 'Population Data [US, States & Counties]',
'group': '1820 Census',
'name': '1820_cPop',
'sequence': 401},
{ 'description': 'Population Data [US, States & Counties]',
'group': '1830 Census',
'name': '1830_cPop',
'sequence': 501},
{ 'description': 'Agriculture Data [US, States & Counties]',
'group': '1840 Census',
'name': '1840_cAg',
'sequence': 601},
[SNIP]
{ 'description': '1-Year Data',
'group': '2021 American Community Survey',
'name': '2021_ACS1',
'sequence': 6001},
{ 'description': '5-Year Data [2017-2021, Block Groups & Larger '
'Areas]',
'group': '2021 American Community Survey',
'name': '2017_2021_ACS5a',
'sequence': 6002},
{ 'description': '5-Year Data [2017-2021, Tracts & Larger Areas]',
'group': '2021 American Community Survey',
'name': '2017_2021_ACS5b',
'sequence': 6003},
{ 'description': '5-Year Data [2017-2021, Summary by Residence 1 '
'Year Ago]',
'group': '2021 American Community Survey',
'name': '2017_2021_ACS5c',
'sequence': 6004},
{ 'description': '5-Year Data [2017-2021, Summary by Place of '
'Work]',
'group': '2021 American Community Survey',
'name': '2017_2021_ACS5d',
'sequence': 6005}],
'links': {'nextPage': None, 'previousPage': None},
'pageNumber': 1,
'pageSize': 500,
'totalCount': 253}
url <- "https://api.ipums.org/metadata/nhgis/datasets?version=2"
result <- GET(url, add_headers(Authorization = my_key))
res_df <- content(result, "parsed", simplifyDataFrame = TRUE)
head(res_df, n = 20L) # Contains metadata
# Results
$data
name group
1 1790_cPop 1790 Census
2 1800_cPop 1800 Census
3 1810_cPop 1810 Census
4 1820_cPop 1820 Census
5 1830_cPop 1830 Census
6 1840_cAg 1840 Census
7 1840_cMfg 1840 Census
8 1840_cPopX 1840 Census
9 1850_cAg 1850 Census
10 1850_cPAX 1850 Census
[SNIP]
$pageNumber
[1] 1
$pageSize
[1] 500
$totalCount
[1] 253
$links
$links$previousPage
NULL
$links$nextPage
NULL
curl -X GET \
"https://api.ipums.org/metadata/nhgis/datasets?version=2" \
-H "Authorization: $MY_KEY" | jq
# Results
{
"data": [
{
"name": "1790_cPop",
"group": "1790 Census",
"description": "Population Data [US, States & Counties]",
"sequence": 101
},
{
"name": "1800_cPop",
"group": "1800 Census",
"description": "Population Data [US, States & Counties]",
"sequence": 201
},
[SNIP]
{
"name": "2017_2021_ACS5c",
"group": "2021 American Community Survey",
"description": "5-Year Data [2017-2021, Summary by Residence 1 Year Ago]",
"sequence": 6004
},
{
"name": "2017_2021_ACS5d",
"group": "2021 American Community Survey",
"description": "5-Year Data [2017-2021, Summary by Place of Work]",
"sequence": 6005
}
],
"pageNumber": 1,
"pageSize": 500,
"totalCount": 253,
"links": {
"previousPage": null,
"nextPage": null
}
}
Get All Data Tables
This API call will return a list of all available data tables across all datasets. Since IPUMS NHGIS contains collections of related datasets (e.g. the 2021 5-year ACS summary files are split across four datasets), this endpoint can be useful for retrieving lists of data tables across related datasets. It can also be used for finding all data tables with a specific keyword in their description or universe.
my_headers = {"Authorization": my_key}
url = "https://api.ipums.org/metadata/nhgis/data_tables?version=2"
nhgis_metadata = requests.get(url, headers=my_headers)
pprint(nhgis_metadata.json())
# Results
{
"data": [
{
"name": "NT1",
"description": "Total Population",
"universe": "Persons",
"nhgisCode": "AAA",
"sequence": 1,
"datasetName": "1790_cPop",
"nVariables": 1
},
{
"name": "NT2",
"description": "Urban Population (Incorporated Places 2,500 and Over)",
"universe": "Urban Persons (Incorporated Places 2,500 and Over)",
"nhgisCode": "AAK",
"sequence": 2,
"datasetName": "1790_cPop",
"nVariables": 1
},
{
"name": "NT3",
"description": "Urban Population in Cities of 25,000 and Over",
"universe": "Urban Persons in Cities of 25,000 and Over",
"nhgisCode": "AAN",
"sequence": 3,
"datasetName": "1790_cPop",
"nVariables": 1
},
[SNIP]
{
"name": "NT9",
"description": "Total Number of People Employed in All Classes of Occupations",
"universe": "Employed Persons",
"nhgisCode": "ALY",
"sequence": 9,
"datasetName": "1870_sROG",
"nVariables": 1
},
{
"name": "NT10",
"description": "People Employed in All Classes of Occupations by Age by Sex",
"universe": "Employed Persons",
"nhgisCode": "ALI",
"sequence": 10,
"datasetName": "1870_sROG",
"nVariables": 6
},
{
"name": "NT11",
"description": "People Employed in All Classes of Occupations by Place of Birth",
"universe": "Employed Persons",
"nhgisCode": "ALJ",
"sequence": 11,
"datasetName": "1870_sROG",
"nVariables": 13
}
],
"pageNumber": 1,
"pageSize": 500,
"totalCount": 46031,
"links": {
"previousPage": null,
"nextPage": "https://api.ipums.org/metadata/nhgis/data_tables?pageNumber=2&pageSize=500&version=2"
}
}
url <- "https://api.ipums.org/metadata/nhgis/data_tables?version=2"
result <- GET(url, add_headers(Authorization = my_key))
res_df <- content(result, "parsed", simplifyDataFrame = TRUE)
head(res_df, n = 20L) # Contains metadata
# Results
$data
name description
1 NT1 Total Population
2 NT2 Urban Population (Incorporated Places 2,500 and Over)
3 NT3 Urban Population in Cities of 25,000 and Over
4 NT4 White Males and Estimated White Females by Sex by Age
5 NT5 White Population by Sex
6 NT6 Race/Slave Status
7 NT9 Total Number of Families
8 NT10 Number of Family Members
9 NT12 White Population by Nationality
10 NT13 Families by Slaveholding Status
11 NT14 Families by Slaveholding Status by Race
12 NT15 White Family Members by Slaveholding Status
13 NT16 Average Number of Members in White Families by Slaveholding Status
14 NT17 Percent of Families by Slaveholding Status by Race
15 NT18 Total Number of Slaves
16 NT19 Average Number of Slaves per Slaveholding Family
17 NT20 Slaveholding Families by Number of Slaves
18 NT21 Race
19 NT1 Total Population (from Original Census Report)
20 NT2 Total Population (from 1900 Census Report)
21 NT3 Total Urban Population
22 NT4 Total Urban Population in Cities of 25,000 and Over
23 NT5 Free White Population by Sex by Age
24 NT6 Nonwhite Population, Except Indians Not Taxed by Slave Status
25 NT8 Total Population
26 NT9 White Population by Sex
27 NT10 Race
28 NT1 Total Population (from Original Census Report)
29 NT2 Total Population (from 1900 Census Report)
30 NT3 Urban Population 2,500 and Over
31 NT4 Urban Population in Cities of 25,000 and Over
32 NT5 Free White Population by Sex by Age
33 NT6 Nonwhite Population, Except Indians Not Taxed by Slave Status
34 NT8 Total Population
35 NT9 White Population by Sex
36 NT10 Race
37 NT1 Total Population
38 NT2 Urban Population 2,500 and Over
39 NT3 Urban Population in Cities of 25,000 and Over
40 NT4A Free White Population by Sex by Age
41 NT4B Free White Males 16 to 18 Years of Age
42 NT5 Total Foreign Persons Not Naturalized
43 NT6 Number of Persons Engaged in Selected Industry
44 NT7 Colored Population by Slave Status by Sex by Age
45 NT8 Free Population with Race, Sex, and Age Unspecified Except Indians Not Taxed
46 NT9 Total Population
47 NT10 Race/Slave Status by Sex
48 NT12 Sex
49 NT13 Race
50 NT1 Total Population
51 NT2 Urban Population 2,500 and Over
52 NT3 Urban Population in Cities of 25,000 and Over
53 NT4 Free White Population by Sex by Age
54 NT5 Colored Population by Slave Status by Sex by Age
55 NT6 Total Population from the Original Census
56 NT7 Persons Who Are Deaf and Dumb by Race by Age
57 NT8 Persons Who Are Blind by Race
58 NT9 Number of Foreigners Not Naturalized
59 NT12 Race/Slave Status by Sex
60 NT13 Race
61 NT15 Colored Population by Slave Status
62 NT16 Sex
63 NT17 Total Slave and Free Colored Population by Sex
64 NT19 White Population 80 Years of Age and Over by Sex
65 NT1A Livestock
66 NT1B Value of Poultry
67 NT2 Farm Productions
68 NT3 Value of Non-Field-Crop Products
69 NT4 Production Groups and Specialty Products
70 NT5 Price of Farm Productions
71 NT6 Estimated Value of Farm Productions
72 NT7A Estimated Total Crop Output Value
73 NT7B Value of Production Groups
74 NT8 Estimated Value of Agricultural Output
75 NT9 Population
76 NT1 Total Population
77 NT2 Fuel Consumed in Iron Manufacturing
78 NT3 Total Capital Invested in Manufactures
79 NT4 Type of Establishment
80 NT5 Value of Production
81 NT6 Production of Goods
82 NT7 Capital Invested
83 NT8 Employment
84 NT9 Men Employed by Type of Establishment for Selected Industries Employing Only Men
85 NT10 Persons Employed by Type of Establishment for Textile and Leather Manufacturing Establishments
86 NT11 Number of Spindles
87 NT1 Total Population
88 NT2 Total Urban Population
89 NT3 Total Urban Population in Cities of 25,000 and Over
90 NT4 Free White Population by Sex by Age
91 NT5 Colored Population by Slave Status by Sex by Age
92 NT6 Total Population
93 NT7 Employed Population by Occupation
94 NT8 Total Pensioners for Revolutionary War or other Military Services
95 NT9 Number of Deaf and Dumb White Persons by Age
96 NT10 Blind Persons by Race
97 NT11 Insane and Idiot Persons by Race by Public/Private Charge
98 NT12 Deaf and Dumb Colored Persons of All Ages
99 NT13 Number of Learning Institutions
100 NT14 Number of Students by Type of Learning Institutions
101 NT15 Total Scholars at Public Charge
102 NT16 Total White Population Over Twenty Years of Age Who Cannot Read and Write
103 NT17 Number of Printing and Binding Services
104 NT19 Newspapers by Frequency of Issue
105 NT21 Total Persons Employed in Printing and Binding
106 NT22 Total Capital Invested in Printing and Binding
107 NT23 Total Capital Invested in Manufacturing
108 NT24 White Population by Sex
109 NT25 Race/Slave Status
110 NT26 White Population 80 Years of Age and Over by Sex
111 NT28 Colored Population by Slave Status by Sex
112 NT29 Sex
113 NT30 Navigable Waterway
114 NT1 Total Number of Farms
115 NT2 Improved/Unimproved Land in Farms
116 NT3 Value of Farms, Implements and Machinery
117 NT4 Livestock
118 NT5 Total Value of Livestock
119 NT6 Farm Productions
120 NT7 Value of Non-Field-Crop Product Groups
121 NT8 Price of Farm Productions, 1859/1860
122 NT9 Estimated Value of Farm Productions
123 NT10 Estimated Value of Farm Product Groups
124 NT11 Estimated Value of Total Agricultural Output
125 NT1 Total Population
126 NT2 Urban Population 2,500 and Over
127 NT3 Population in Cities of 25,000 and Over
128 NT4 Race/Slave Status by Sex by Age
129 NT5 Race/Slave Status by Sex
130 NT6 Race/Slave Status
131 NT10 Births by Slave Status
132 NT12 Total Births
133 NT13 Total White Persons Married During the Year Ending June 1, 1850.
134 NT14 Total Persons Married During the Year Ending June 1, 1850.
135 NT15 Deaths During the Year Ending June 1, 1850 by Slave Status
136 NT17 Total Deaths During the Year Ending June 1, 1850
137 NT18 Total Dwellings of White and Free-Colored Persons
138 NT19 Total White and Free-Colored Families
139 NT20 Types of Learning Institutions
140 NT21 Persons at Learning Institutions by Type of Learning Institution
141 NT23 Annual Income by Types of Learning Institutions by Income Source
142 NT24 Total Annual Income by Types of Learning Institutions
universe nhgisCode sequence datasetName nVariables
1 Persons AAA 1 1790_cPop 1
2 Urban Persons (Incorporated Places 2,500 and Over) AAK 2 1790_cPop 1
3 Urban Persons in Cities of 25,000 and Over AAN 3 1790_cPop 1
4 White Persons AAO 4 1790_cPop 4
5 White Persons AAP 5 1790_cPop 2
6 Persons AAQ 6 1790_cPop 3
7 Families AAR 7 1790_cPop 1
8 Families AAB 8 1790_cPop 11
9 White Persons AAC 9 1790_cPop 8
10 Families AAD 10 1790_cPop 2
11 Families AAE 11 1790_cPop 4
12 White Family Members AAF 12 1790_cPop 2
13 White Families AAG 13 1790_cPop 2
14 Families AAH 14 1790_cPop 4
15 Slaves AAI 15 1790_cPop 1
16 Slaves AAJ 16 1790_cPop 1
17 Slaveholding Families AAL 17 1790_cPop 10
18 Persons AAM 18 1790_cPop 2
19 Persons AAS 1 1800_cPop 1
20 Persons AAU 2 1800_cPop 1
21 Urban Persons AAV 3 1800_cPop 1
22 Urban Persons in Cities of 25,000 and Over AAW 4 1800_cPop 1
23 Free White Persons AAX 5 1800_cPop 10
24 Non-White Persons Except Indians Not Taxed AAY 6 1800_cPop 2
25 Persons AAZ 7 1800_cPop 1
26 White Persons AA0 8 1800_cPop 2
27 Persons AAT 9 1800_cPop 2
28 Persons AA1 1 1810_cPop 1
29 Persons AA3 2 1810_cPop 1
30 Urban Persons (Incorporated Places 2,500 and Over) AA4 3 1810_cPop 1
31 Urban Persons in Cities of 25,000 and Over AA5 4 1810_cPop 1
32 Free White Persons AA6 5 1810_cPop 10
33 Non-White Persons Except Indians Not Taxed AA7 6 1810_cPop 2
34 Persons AA8 7 1810_cPop 1
35 White Persons AA9 8 1810_cPop 2
36 Persons AA2 9 1810_cPop 2
37 Persons ABA 1 1820_cPop 1
38 Urban Persons (Incorporated Places 2,500 and Over) ABE 2 1820_cPop 1
39 Urban Persons in Cities of 25,000 and Over ABF 3 1820_cPop 1
40 Free White Persons with Sex and Age Specified ABG 4 1820_cPop 10
41 Free White Males 16 to 18 Years of Age ABH 5 1820_cPop 1
42 Foreign-Born Persons Not Naturalized ABI 6 1820_cPop 1
43 Persons Engaged in Agriculture, Commerce and Manufacturing ABJ 7 1820_cPop 3
44 Colored Persons with Sex and Age Specified ABK 8 1820_cPop 16
45 Free Persons with Race, Sex, and Age Unspecified Except Indians Not Taxed ABL 9 1820_cPop 1
46 Persons ABM 10 1820_cPop 1
47 Persons with Sex and Age Specified ABB 11 1820_cPop 6
48 Persons with Sex and Age Specified ABC 12 1820_cPop 2
49 Persons with Sex and Age Specified ABD 13 1820_cPop 2
50 Persons ABN 1 1830_cPop 1
51 Urban Persons (Incorporated Places 2,500 and Over) ABU 2 1830_cPop 1
52 Urban Persons in Cities of 25,000 and Over ABV 3 1830_cPop 1
53 Free White Persons ABW 4 1830_cPop 26
54 Colored Persons ABX 5 1830_cPop 24
55 Persons ABY 6 1830_cPop 1
56 Deaf and Dumb Persons ABZ 7 1830_cPop 6
57 Blind Persons AB0 8 1830_cPop 2
58 Foreign-Born Persons Not Naturalized AB1 9 1830_cPop 1
59 Persons ABO 10 1830_cPop 6
60 Persons ABP 11 1830_cPop 2
61 Colored Persons ABQ 12 1830_cPop 2
62 Persons ABR 13 1830_cPop 2
63 Slave and Free Colored Persons ABS 14 1830_cPop 2
64 White Persons 80 Years and Over ABT 15 1830_cPop 2
65 Farms AB2 1 1840_cAg 4
66 Farms AB3 2 1840_cAg 1
67 Farms AB4 3 1840_cAg 22
68 Farms AB5 4 1840_cAg 5
69 Farms AB6 5 1840_cAg 4
70 Farms AB7 6 1840_cAg 22
71 Farms AB8 7 1840_cAg 22
72 Farms AB9 8 1840_cAg 1
73 Farms ACA 9 1840_cAg 3
74 Farms ACB 10 1840_cAg 1
75 Persons ACC 11 1840_cAg 1
76 Persons AC4 1 1840_cMfg 1
77 Iron Manufacturing Establishments AC7 2 1840_cMfg 1
78 Manufacturing Establishments AC8 3 1840_cMfg 1
79 Establishments of Selected Industries AC9 4 1840_cMfg 30
80 Establishments of Selected Industries ADA 5 1840_cMfg 41
81 Establishments of Selected Industries ADB 6 1840_cMfg 30
82 Establishments of Selected Industries ADC 7 1840_cMfg 39
83 Employed Persons in Selected Industries ADD 8 1840_cMfg 7
84 Males Employed in Establishments of Selected Industries Employing Only Men ADE 9 1840_cMfg 36
85 Employed Persons in Textile and Leather Manufacturing Establishments AC5 10 1840_cMfg 9
86 Cotton Manufacturing Establishments AC6 11 1840_cMfg 1
87 Persons ACD 1 1840_cPopX 1
88 Urban Persons ACN 2 1840_cPopX 1
89 Urban Persons in Cities of 25,000 and Over ACW 3 1840_cPopX 1
90 Free White Persons ACY 4 1840_cPopX 26
91 Colored Persons ACZ 5 1840_cPopX 24
92 Persons AC0 6 1840_cPopX 1
93 Employed Persons AC1 7 1840_cPopX 7
94 Pensioners for Revolutionary War or Other Military Services AC2 8 1840_cPopX 1
95 Deaf and Dumb White Persons AC3 9 1840_cPopX 3
96 Blind Persons ACE 10 1840_cPopX 2
97 Insane and Idiot Persons ACF 11 1840_cPopX 4
98 Deaf and Dumb Colored Persons ACG 12 1840_cPopX 1
99 Learning Institutions ACH 13 1840_cPopX 3
100 Students ACI 14 1840_cPopX 3
101 Scholars at Public Charge ACJ 15 1840_cPopX 1
102 White Persons Over 20 Years Who Cannot Read and Write ACK 16 1840_cPopX 1
103 Printing Offices and Binderies ACL 17 1840_cPopX 2
104 Periodicals ACM 18 1840_cPopX 4
105 Employed Persons in Printing and Binding Services ACO 19 1840_cPopX 1
106 Printing Offices and Binderies ACP 20 1840_cPopX 1
107 Manufacturing Establishments ACQ 21 1840_cPopX 1
108 White Persons ACR 22 1840_cPopX 2
109 Persons ACS 23 1840_cPopX 3
110 White Persons 80 Years and Over ACT 24 1840_cPopX 2
111 Colored Persons ACU 25 1840_cPopX 4
112 Persons ACV 26 1840_cPopX 2
113 Specified Geographic Area ACX 27 1840_cPopX 1
114 Farms ADF 1 1850_cAg 1
115 Farms ADI 2 1850_cAg 2
116 Farms ADJ 3 1850_cAg 2
117 Farms ADK 4 1850_cAg 7
118 Farms ADL 5 1850_cAg 1
119 Farms ADM 6 1850_cAg 30
120 Farms ADN 7 1850_cAg 4
121 Farms ADO 8 1850_cAg 30
122 Farms ADP 9 1850_cAg 30
123 Farms ADG 10 1850_cAg 2
124 Farms ADH 11 1850_cAg 1
125 Persons ADQ 1 1850_cPAX 1
126 Urban Persons (Incorporated Places 2,500 and Over) ADZ 2 1850_cPAX 1
127 Persons in Cities of 25,000 and Over AD9 3 1850_cPAX 1
128 Persons AEL 4 1850_cPAX 90
129 Persons AEW 5 1850_cPAX 6
130 Persons AE6 6 1850_cPAX 3
131 Births During the Year Ending June 1, 1850 ADR 7 1850_cPAX 2
132 Births During the Year Ending June 1, 1850 ADS 8 1850_cPAX 1
133 White Persons Married During the Year Ending June 1, 1850 ADT 9 1850_cPAX 1
134 Persons Married During the Year Ending June 1, 1850 ADU 10 1850_cPAX 1
135 Deaths During the Year Ending June 1, 1850 ADV 11 1850_cPAX 2
136 Deaths During the Year Ending June 1, 1850 ADW 12 1850_cPAX 1
137 Dwellings of White and Free-Colored Persons ADX 13 1850_cPAX 1
138 White and Free Colored Families ADY 14 1850_cPAX 1
139 Learning Institutions AD0 15 1850_cPAX 3
140 Teachers and Pupils in Learning Institutions AD1 16 1850_cPAX 6
141 Learning Institutions AD2 17 1850_cPAX 12
142 Learning Institutions AD3 18 1850_cPAX 3
[ reached 'max' / getOption("max.print") -- omitted 358 rows ]
$pageNumber
[1] 1
$pageSize
[1] 500
$totalCount
[1] 46031
$links
$links$previousPage
NULL
$links$nextPage
[1] "https://api.ipums.org/metadata/nhgis/data_tables?pageNumber=2&pageSize=500&version=2"
curl -X GET \
"https://api.ipums.org/metadata/nhgis/data_tables?version=2" \
-H "Authorization: $MY_KEY" | jq
# Results
{
"data": [
{
"name": "NT1",
"description": "Total Population",
"universe": "Persons",
"nhgisCode": "AAA",
"sequence": 1,
"datasetName": "1790_cPop",
"nVariables": 1
},
{
"name": "NT2",
"description": "Urban Population (Incorporated Places 2,500 and Over)",
"universe": "Urban Persons (Incorporated Places 2,500 and Over)",
"nhgisCode": "AAK",
"sequence": 2,
"datasetName": "1790_cPop",
"nVariables": 1
},
{
"name": "NT3",
"description": "Urban Population in Cities of 25,000 and Over",
"universe": "Urban Persons in Cities of 25,000 and Over",
"nhgisCode": "AAN",
"sequence": 3,
"datasetName": "1790_cPop",
"nVariables": 1
},
[SNIP]
{
"name": "NT9",
"description": "Total Number of People Employed in All Classes of Occupations",
"universe": "Employed Persons",
"nhgisCode": "ALY",
"sequence": 9,
"datasetName": "1870_sROG",
"nVariables": 1
},
{
"name": "NT10",
"description": "People Employed in All Classes of Occupations by Age by Sex",
"universe": "Employed Persons",
"nhgisCode": "ALI",
"sequence": 10,
"datasetName": "1870_sROG",
"nVariables": 6
},
{
"name": "NT11",
"description": "People Employed in All Classes of Occupations by Place of Birth",
"universe": "Employed Persons",
"nhgisCode": "ALJ",
"sequence": 11,
"datasetName": "1870_sROG",
"nVariables": 13
}
],
"pageNumber": 1,
"pageSize": 500,
"totalCount": 46031,
"links": {
"previousPage": null,
"nextPage": "https://api.ipums.org/metadata/nhgis/data_tables?pageNumber=2&pageSize=500&version=2"
}
}
Get Detailed Metadata for a Single Dataset
This API call will return the details of a single dataset, 1790_cPop
in this example. The details include the name and description of each each table within the dataset, as well as the geographic levels for which this dataset is available.
my_headers = {"Authorization": my_key}
url = "https://api.ipums.org/metadata/nhgis/datasets/1790_cPop?version=2"
nhgis_metadata = requests.get(url, headers=my_headers)
pprint(nhgis_metadata.json())
# Results
{ 'dataTables': [ { 'description': 'Total Population',
'name': 'NT1',
'nhgisCode': 'AAA',
'sequence': 1},
{ 'description': 'Urban Population (Incorporated Places '
'2,500 and Over)',
'name': 'NT2',
'nhgisCode': 'AAK',
'sequence': 2},
{ 'description': 'Urban Population in Cities of 25,000 and '
'Over',
'name': 'NT3',
'nhgisCode': 'AAN',
'sequence': 3},
{ 'description': 'White Males and Estimated White Females by '
'Sex by Age',
'name': 'NT4',
'nhgisCode': 'AAO',
'sequence': 4},
{ 'description': 'White Population by Sex',
'name': 'NT5',
'nhgisCode': 'AAP',
'sequence': 5},
{ 'description': 'Race/Slave Status',
'name': 'NT6',
'nhgisCode': 'AAQ',
'sequence': 6},
{ 'description': 'Total Number of Families',
'name': 'NT9',
'nhgisCode': 'AAR',
'sequence': 7},
{ 'description': 'Number of Family Members',
'name': 'NT10',
'nhgisCode': 'AAB',
'sequence': 8},
{ 'description': 'White Population by Nationality',
'name': 'NT12',
'nhgisCode': 'AAC',
'sequence': 9},
{ 'description': 'Families by Slaveholding Status',
'name': 'NT13',
'nhgisCode': 'AAD',
'sequence': 10},
{ 'description': 'Families by Slaveholding Status by Race',
'name': 'NT14',
'nhgisCode': 'AAE',
'sequence': 11},
{ 'description': 'White Family Members by Slaveholding '
'Status',
'name': 'NT15',
'nhgisCode': 'AAF',
'sequence': 12},
{ 'description': 'Average Number of Members in White '
'Families by Slaveholding Status',
'name': 'NT16',
'nhgisCode': 'AAG',
'sequence': 13},
{ 'description': 'Percent of Families by Slaveholding Status '
'by Race',
'name': 'NT17',
'nhgisCode': 'AAH',
'sequence': 14},
{ 'description': 'Total Number of Slaves',
'name': 'NT18',
'nhgisCode': 'AAI',
'sequence': 15},
{ 'description': 'Average Number of Slaves per Slaveholding '
'Family',
'name': 'NT19',
'nhgisCode': 'AAJ',
'sequence': 16},
{ 'description': 'Slaveholding Families by Number of Slaves',
'name': 'NT20',
'nhgisCode': 'AAL',
'sequence': 17},
{ 'description': 'Race',
'name': 'NT21',
'nhgisCode': 'AAM',
'sequence': 18}],
'description': 'Population Data [US, States & Counties]',
'geogLevels': [ { 'description': 'Nation',
'hasGeogExtentSelection': False,
'name': 'nation',
'sequence': 1},
{ 'description': 'State',
'hasGeogExtentSelection': False,
'name': 'state',
'sequence': 4},
{ 'description': 'State--County',
'hasGeogExtentSelection': False,
'name': 'county',
'sequence': 25}],
'group': '1790 Census',
'hasMultipleDataTypes': False,
'name': '1790_cPop',
'nhgisId': 'ds1',
'sequence': 101}
url <- "https://api.ipums.org/metadata/nhgis/datasets/1790_cPop?version=2"
result <- GET(url, add_headers(Authorization = my_key))
res_df <- content(result, "parsed", simplifyDataFrame = TRUE)
head(res_df, n = 20L) # Contains metadata
# Results
$name
[1] "1790_cPop"
$nhgisId
[1] "ds1"
$group
[1] "1790 Census"
$description
[1] "Population Data [US, States & Counties]"
$sequence
[1] 101
$hasMultipleDataTypes
[1] FALSE
$dataTables
name nhgisCode description sequence
1 NT1 AAA Total Population 1
2 NT2 AAK Urban Population (Incorporated Places 2,500 and Over) 2
3 NT3 AAN Urban Population in Cities of 25,000 and Over 3
4 NT4 AAO White Males and Estimated White Females by Sex by Age 4
5 NT5 AAP White Population by Sex 5
6 NT6 AAQ Race/Slave Status 6
7 NT9 AAR Total Number of Families 7
8 NT10 AAB Number of Family Members 8
9 NT12 AAC White Population by Nationality 9
10 NT13 AAD Families by Slaveholding Status 10
11 NT14 AAE Families by Slaveholding Status by Race 11
12 NT15 AAF White Family Members by Slaveholding Status 12
13 NT16 AAG Average Number of Members in White Families by Slaveholding Status 13
14 NT17 AAH Percent of Families by Slaveholding Status by Race 14
15 NT18 AAI Total Number of Slaves 15
16 NT19 AAJ Average Number of Slaves per Slaveholding Family 16
17 NT20 AAL Slaveholding Families by Number of Slaves 17
18 NT21 AAM Race 18
$geogLevels
name description hasGeogExtentSelection sequence
1 nation Nation FALSE 1
2 state State FALSE 4
3 county State--County FALSE 25
curl -X GET \
"https://api.ipums.org/metadata/nhgis/datasets/1790_cPop?version=2" \
-H "Authorization: $MY_KEY" | jq
# Results
{
"name": "1790_cPop",
"nhgisId": "ds1",
"group": "1790 Census",
"description": "Population Data [US, States & Counties]",
"sequence": 101,
"hasMultipleDataTypes": false,
"dataTables": [
{
"name": "NT1",
"nhgisCode": "AAA",
"description": "Total Population",
"sequence": 1
},
{
"name": "NT2",
"nhgisCode": "AAK",
"description": "Urban Population (Incorporated Places 2,500 and Over)",
"sequence": 2
},
{
"name": "NT3",
"nhgisCode": "AAN",
"description": "Urban Population in Cities of 25,000 and Over",
"sequence": 3
},
{
"name": "NT4",
"nhgisCode": "AAO",
"description": "White Males and Estimated White Females by Sex by Age",
"sequence": 4
},
{
"name": "NT5",
"nhgisCode": "AAP",
"description": "White Population by Sex",
"sequence": 5
},
{
"name": "NT6",
"nhgisCode": "AAQ",
"description": "Race/Slave Status",
"sequence": 6
},
{
"name": "NT9",
"nhgisCode": "AAR",
"description": "Total Number of Families",
"sequence": 7
},
{
"name": "NT10",
"nhgisCode": "AAB",
"description": "Number of Family Members",
"sequence": 8
},
{
"name": "NT12",
"nhgisCode": "AAC",
"description": "White Population by Nationality",
"sequence": 9
},
{
"name": "NT13",
"nhgisCode": "AAD",
"description": "Families by Slaveholding Status",
"sequence": 10
},
{
"name": "NT14",
"nhgisCode": "AAE",
"description": "Families by Slaveholding Status by Race",
"sequence": 11
},
{
"name": "NT15",
"nhgisCode": "AAF",
"description": "White Family Members by Slaveholding Status",
"sequence": 12
},
{
"name": "NT16",
"nhgisCode": "AAG",
"description": "Average Number of Members in White Families by Slaveholding Status",
"sequence": 13
},
{
"name": "NT17",
"nhgisCode": "AAH",
"description": "Percent of Families by Slaveholding Status by Race",
"sequence": 14
},
{
"name": "NT18",
"nhgisCode": "AAI",
"description": "Total Number of Slaves",
"sequence": 15
},
{
"name": "NT19",
"nhgisCode": "AAJ",
"description": "Average Number of Slaves per Slaveholding Family",
"sequence": 16
},
{
"name": "NT20",
"nhgisCode": "AAL",
"description": "Slaveholding Families by Number of Slaves",
"sequence": 17
},
{
"name": "NT21",
"nhgisCode": "AAM",
"description": "Race",
"sequence": 18
}
],
"geogLevels": [
{
"name": "nation",
"description": "Nation",
"hasGeogExtentSelection": false,
"sequence": 1
},
{
"name": "state",
"description": "State",
"hasGeogExtentSelection": false,
"sequence": 4
},
{
"name": "county",
"description": "State--County",
"hasGeogExtentSelection": false,
"sequence": 25
}
]
}
Dataset Attributes
name
: The unique identifier of the dataset.group
: The group of datasets to which this dataset belongs.description
: A short description of the dataset.sequence
: The order in which the dataset will appear in the metadata API and extracts.has_multiple_data_types
: A boolean indicating if multiple data types exist for this dataset. For example, the American Community Survey datasets have margins of error as well as estimate data types. Use thebreakdown_and_data_type_layout
parameter on your extract to specify how these data types are structured in your extract.data_tables
: A list of data tables available for this dataset.geog_levels
: A list of geographic levels available for this dataset.name
: The unique identifier of the geographic level.description
: A short description of the geographic level.has_geog_extent_selection
: Whether or not extent selection is applied (and required) for this geography level. Seegeographic_instances
for a list of valid extents.
breakdowns
: A list of breakdowns available for this dataset.years
: (Optional) If a dataset includes data from multiple years, then this is a list of its years.geographic_instances
: (Optional) If a dataset has any geographic levels that have extent selection, then this a list of the valid extents for this dataset.
Get Metadata for a Table
This API call will return the metadata details for a specific table, NP19
from 1990_STF1
in this example. This includes the NHGIS code, which appears in the codebook and is prepended to the variable names in the extract. The universe information is also returned, along with codes and descriptions for each variable.
my_headers = {"Authorization": my_key}
url = "https://api.ipums.org/metadata/nhgis/datasets/1990_STF1/data_tables/NP19?version=2"
nhgis_metadata = requests.get(url, headers=my_headers)
pprint(nhgis_metadata.json())
# Results
{ 'datasetName': '1990_STF1',
'description': 'Race of Householder by Household Type',
'name': 'NP19',
'nhgisCode': 'EUC',
'sequence': 20,
'universe': 'Households',
'variables': [ { 'description': 'White >> Family households: Married-couple '
'family: With related children',
'nhgisCode': 'EUC001'},
{ 'description': 'White >> Family households: Married-couple '
'family: No related children',
'nhgisCode': 'EUC002'},
{ 'description': 'White >> Family households: Other family: '
'Male householder, no wife present: With '
'related children',
'nhgisCode': 'EUC003'},
{ 'description': 'White >> Family households: Other family: '
'Male householder, no wife present: No '
'related children',
'nhgisCode': 'EUC004'},
{ 'description': 'White >> Family households: Other family: '
'Female householder, no husband present: '
'With related children',
'nhgisCode': 'EUC005'},
{ 'description': 'White >> Family households: Other family: '
'Female householder, no husband present: No '
'related children',
'nhgisCode': 'EUC006'},
{ 'description': 'White >> Nonfamily households: Householder '
'living alone',
'nhgisCode': 'EUC007'},
{ 'description': 'White >> Nonfamily households: Householder '
'not living alone',
'nhgisCode': 'EUC008'},
{ 'description': 'Black >> Family households: Married-couple '
'family: With related children',
'nhgisCode': 'EUC009'},
{ 'description': 'Black >> Family households: Married-couple '
'family: No related children',
'nhgisCode': 'EUC010'},
{ 'description': 'Black >> Family households: Other family: '
'Male householder, no wife present: With '
'related children',
'nhgisCode': 'EUC011'},
{ 'description': 'Black >> Family households: Other family: '
'Male householder, no wife present: No '
'related children',
'nhgisCode': 'EUC012'},
{ 'description': 'Black >> Family households: Other family: '
'Female householder, no husband present: '
'With related children',
'nhgisCode': 'EUC013'},
{ 'description': 'Black >> Family households: Other family: '
'Female householder, no husband present: No '
'related children',
'nhgisCode': 'EUC014'},
{ 'description': 'Black >> Nonfamily households: Householder '
'living alone',
'nhgisCode': 'EUC015'},
{ 'description': 'Black >> Nonfamily households: Householder '
'not living alone',
'nhgisCode': 'EUC016'},
{ 'description': 'American Indian, Eskimo, or Aleut >> Family '
'households: Married-couple family: With '
'related children',
'nhgisCode': 'EUC017'},
{ 'description': 'American Indian, Eskimo, or Aleut >> Family '
'households: Married-couple family: No '
'related children',
'nhgisCode': 'EUC018'},
{ 'description': 'American Indian, Eskimo, or Aleut >> Family '
'households: Other family: Male householder, '
'no wife present: With related children',
'nhgisCode': 'EUC019'},
{ 'description': 'American Indian, Eskimo, or Aleut >> Family '
'households: Other family: Male householder, '
'no wife present: No related children',
'nhgisCode': 'EUC020'},
{ 'description': 'American Indian, Eskimo, or Aleut >> Family '
'households: Other family: Female '
'householder, no husband present: With '
'related children',
'nhgisCode': 'EUC021'},
{ 'description': 'American Indian, Eskimo, or Aleut >> Family '
'households: Other family: Female '
'householder, no husband present: No related '
'children',
'nhgisCode': 'EUC022'},
{ 'description': 'American Indian, Eskimo, or Aleut >> '
'Nonfamily households: Householder living '
'alone',
'nhgisCode': 'EUC023'},
{ 'description': 'American Indian, Eskimo, or Aleut >> '
'Nonfamily households: Householder not '
'living alone',
'nhgisCode': 'EUC024'},
{ 'description': 'Asian or Pacific Islander >> Family '
'households: Married-couple family: With '
'related children',
'nhgisCode': 'EUC025'},
{ 'description': 'Asian or Pacific Islander >> Family '
'households: Married-couple family: No '
'related children',
'nhgisCode': 'EUC026'},
{ 'description': 'Asian or Pacific Islander >> Family '
'households: Other family: Male householder, '
'no wife present: With related children',
'nhgisCode': 'EUC027'},
{ 'description': 'Asian or Pacific Islander >> Family '
'households: Other family: Male householder, '
'no wife present: No related children',
'nhgisCode': 'EUC028'},
{ 'description': 'Asian or Pacific Islander >> Family '
'households: Other family: Female '
'householder, no husband present: With '
'related children',
'nhgisCode': 'EUC029'},
{ 'description': 'Asian or Pacific Islander >> Family '
'households: Other family: Female '
'householder, no husband present: No related '
'children',
'nhgisCode': 'EUC030'},
{ 'description': 'Asian or Pacific Islander >> Nonfamily '
'households: Householder living alone',
'nhgisCode': 'EUC031'},
{ 'description': 'Asian or Pacific Islander >> Nonfamily '
'households: Householder not living alone',
'nhgisCode': 'EUC032'},
{ 'description': 'Other race >> Family households: '
'Married-couple family: With related '
'children',
'nhgisCode': 'EUC033'},
{ 'description': 'Other race >> Family households: '
'Married-couple family: No related children',
'nhgisCode': 'EUC034'},
{ 'description': 'Other race >> Family households: Other '
'family: Male householder, no wife present: '
'With related children',
'nhgisCode': 'EUC035'},
{ 'description': 'Other race >> Family households: Other '
'family: Male householder, no wife present: '
'No related children',
'nhgisCode': 'EUC036'},
{ 'description': 'Other race >> Family households: Other '
'family: Female householder, no husband '
'present: With related children',
'nhgisCode': 'EUC037'},
{ 'description': 'Other race >> Family households: Other '
'family: Female householder, no husband '
'present: No related children',
'nhgisCode': 'EUC038'},
{ 'description': 'Other race >> Nonfamily households: '
'Householder living alone',
'nhgisCode': 'EUC039'},
{ 'description': 'Other race >> Nonfamily households: '
'Householder not living alone',
'nhgisCode': 'EUC040'}]}
url <- "https://api.ipums.org/metadata/nhgis/datasets/1990_STF1/data_tables/NP19?version=2"
result <- GET(url, add_headers(Authorization = my_key))
res_df <- content(result, "parsed", simplifyDataFrame = TRUE)
head(res_df, n = 20L) # Contains metadata
# Results
$name
[1] "NP19"
$description
[1] "Race of Householder by Household Type"
$universe
[1] "Households"
$nhgisCode
[1] "EUC"
$sequence
[1] 20
$datasetName
[1] "1990_STF1"
$variables
description nhgisCode
1 White >> Family households: Married-couple family: With related children EUC001
2 White >> Family households: Married-couple family: No related children EUC002
3 White >> Family households: Other family: Male householder, no wife present: With related children EUC003
4 White >> Family households: Other family: Male householder, no wife present: No related children EUC004
5 White >> Family households: Other family: Female householder, no husband present: With related children EUC005
6 White >> Family households: Other family: Female householder, no husband present: No related children EUC006
7 White >> Nonfamily households: Householder living alone EUC007
8 White >> Nonfamily households: Householder not living alone EUC008
9 Black >> Family households: Married-couple family: With related children EUC009
10 Black >> Family households: Married-couple family: No related children EUC010
11 Black >> Family households: Other family: Male householder, no wife present: With related children EUC011
12 Black >> Family households: Other family: Male householder, no wife present: No related children EUC012
13 Black >> Family households: Other family: Female householder, no husband present: With related children EUC013
14 Black >> Family households: Other family: Female householder, no husband present: No related children EUC014
15 Black >> Nonfamily households: Householder living alone EUC015
16 Black >> Nonfamily households: Householder not living alone EUC016
17 American Indian, Eskimo, or Aleut >> Family households: Married-couple family: With related children EUC017
18 American Indian, Eskimo, or Aleut >> Family households: Married-couple family: No related children EUC018
19 American Indian, Eskimo, or Aleut >> Family households: Other family: Male householder, no wife present: With related children EUC019
20 American Indian, Eskimo, or Aleut >> Family households: Other family: Male householder, no wife present: No related children EUC020
21 American Indian, Eskimo, or Aleut >> Family households: Other family: Female householder, no husband present: With related children EUC021
22 American Indian, Eskimo, or Aleut >> Family households: Other family: Female householder, no husband present: No related children EUC022
23 American Indian, Eskimo, or Aleut >> Nonfamily households: Householder living alone EUC023
24 American Indian, Eskimo, or Aleut >> Nonfamily households: Householder not living alone EUC024
25 Asian or Pacific Islander >> Family households: Married-couple family: With related children EUC025
26 Asian or Pacific Islander >> Family households: Married-couple family: No related children EUC026
27 Asian or Pacific Islander >> Family households: Other family: Male householder, no wife present: With related children EUC027
28 Asian or Pacific Islander >> Family households: Other family: Male householder, no wife present: No related children EUC028
29 Asian or Pacific Islander >> Family households: Other family: Female householder, no husband present: With related children EUC029
30 Asian or Pacific Islander >> Family households: Other family: Female householder, no husband present: No related children EUC030
31 Asian or Pacific Islander >> Nonfamily households: Householder living alone EUC031
32 Asian or Pacific Islander >> Nonfamily households: Householder not living alone EUC032
33 Other race >> Family households: Married-couple family: With related children EUC033
34 Other race >> Family households: Married-couple family: No related children EUC034
35 Other race >> Family households: Other family: Male householder, no wife present: With related children EUC035
36 Other race >> Family households: Other family: Male householder, no wife present: No related children EUC036
37 Other race >> Family households: Other family: Female householder, no husband present: With related children EUC037
38 Other race >> Family households: Other family: Female householder, no husband present: No related children EUC038
39 Other race >> Nonfamily households: Householder living alone EUC039
40 Other race >> Nonfamily households: Householder not living alone EUC040
curl -X GET \
"https://api.ipums.org/metadata/nhgis/datasets/1990_STF1/data_tables/NP19?version=2" \
-H "Authorization: $MY_KEY"
# Results
{
"name": "NP19",
"description": "Race of Householder by Household Type",
"universe": "Households",
"nhgisCode": "EUC",
"sequence": 20,
"datasetName": "1990_STF1",
"variables": [
{
"description": "White >> Family households: Married-couple family: With related children",
"nhgisCode": "EUC001"
},
{
"description": "White >> Family households: Married-couple family: No related children",
"nhgisCode": "EUC002"
},
{
"description": "White >> Family households: Other family: Male householder, no wife present: With related children",
"nhgisCode": "EUC003"
},
{
"description": "White >> Family households: Other family: Male householder, no wife present: No related children",
"nhgisCode": "EUC004"
},
{
"description": "White >> Family households: Other family: Female householder, no husband present: With related children",
"nhgisCode": "EUC005"
},
{
"description": "White >> Family households: Other family: Female householder, no husband present: No related children",
"nhgisCode": "EUC006"
},
{
"description": "White >> Nonfamily households: Householder living alone",
"nhgisCode": "EUC007"
},
{
"description": "White >> Nonfamily households: Householder not living alone",
"nhgisCode": "EUC008"
},
{
"description": "Black >> Family households: Married-couple family: With related children",
"nhgisCode": "EUC009"
},
{
"description": "Black >> Family households: Married-couple family: No related children",
"nhgisCode": "EUC010"
},
{
"description": "Black >> Family households: Other family: Male householder, no wife present: With related children",
"nhgisCode": "EUC011"
},
{
"description": "Black >> Family households: Other family: Male householder, no wife present: No related children",
"nhgisCode": "EUC012"
},
{
"description": "Black >> Family households: Other family: Female householder, no husband present: With related children",
"nhgisCode": "EUC013"
},
{
"description": "Black >> Family households: Other family: Female householder, no husband present: No related children",
"nhgisCode": "EUC014"
},
{
"description": "Black >> Nonfamily households: Householder living alone",
"nhgisCode": "EUC015"
},
{
"description": "Black >> Nonfamily households: Householder not living alone",
"nhgisCode": "EUC016"
},
{
"description": "American Indian, Eskimo, or Aleut >> Family households: Married-couple family: With related children",
"nhgisCode": "EUC017"
},
{
"description": "American Indian, Eskimo, or Aleut >> Family households: Married-couple family: No related children",
"nhgisCode": "EUC018"
},
{
"description": "American Indian, Eskimo, or Aleut >> Family households: Other family: Male householder, no wife present: With related children",
"nhgisCode": "EUC019"
},
{
"description": "American Indian, Eskimo, or Aleut >> Family households: Other family: Male householder, no wife present: No related children",
"nhgisCode": "EUC020"
},
{
"description": "American Indian, Eskimo, or Aleut >> Family households: Other family: Female householder, no husband present: With related children",
"nhgisCode": "EUC021"
},
{
"description": "American Indian, Eskimo, or Aleut >> Family households: Other family: Female householder, no husband present: No related children",
"nhgisCode": "EUC022"
},
{
"description": "American Indian, Eskimo, or Aleut >> Nonfamily households: Householder living alone",
"nhgisCode": "EUC023"
},
{
"description": "American Indian, Eskimo, or Aleut >> Nonfamily households: Householder not living alone",
"nhgisCode": "EUC024"
},
{
"description": "Asian or Pacific Islander >> Family households: Married-couple family: With related children",
"nhgisCode": "EUC025"
},
{
"description": "Asian or Pacific Islander >> Family households: Married-couple family: No related children",
"nhgisCode": "EUC026"
},
{
"description": "Asian or Pacific Islander >> Family households: Other family: Male householder, no wife present: With related children",
"nhgisCode": "EUC027"
},
{
"description": "Asian or Pacific Islander >> Family households: Other family: Male householder, no wife present: No related children",
"nhgisCode": "EUC028"
},
{
"description": "Asian or Pacific Islander >> Family households: Other family: Female householder, no husband present: With related children",
"nhgisCode": "EUC029"
},
{
"description": "Asian or Pacific Islander >> Family households: Other family: Female householder, no husband present: No related children",
"nhgisCode": "EUC030"
},
{
"description": "Asian or Pacific Islander >> Nonfamily households: Householder living alone",
"nhgisCode": "EUC031"
},
{
"description": "Asian or Pacific Islander >> Nonfamily households: Householder not living alone",
"nhgisCode": "EUC032"
},
{
"description": "Other race >> Family households: Married-couple family: With related children",
"nhgisCode": "EUC033"
},
{
"description": "Other race >> Family households: Married-couple family: No related children",
"nhgisCode": "EUC034"
},
{
"description": "Other race >> Family households: Other family: Male householder, no wife present: With related children",
"nhgisCode": "EUC035"
},
{
"description": "Other race >> Family households: Other family: Male householder, no wife present: No related children",
"nhgisCode": "EUC036"
},
{
"description": "Other race >> Family households: Other family: Female householder, no husband present: With related children",
"nhgisCode": "EUC037"
},
{
"description": "Other race >> Family households: Other family: Female householder, no husband present: No related children",
"nhgisCode": "EUC038"
},
{
"description": "Other race >> Nonfamily households: Householder living alone",
"nhgisCode": "EUC039"
},
{
"description": "Other race >> Nonfamily households: Householder not living alone",
"nhgisCode": "EUC040"
}
]
}
Data Table Attributes
name
: The unique identifier for the data table within its dataset.description
: A short description of the data table.universe
: The statistical population (set of entities) measured by this data table (e.g., persons, families, occupied housing units, etc.).nhgis_code
: The code for this data table that will appear in extract.sequence
: The order for which this data table will appear in the metadata API and extracts.variables
: A list of variables within the table.