Latest data: Feb. 24, 2015, 8:42 p.m.
Elements: 904
Queries: 171807
Views: 3882
| Label | Description | Name | Data Type | Size |
|---|---|---|---|---|
| Geometry | geometry | Geometry | N/A | |
| Per capita | per_capita | Integer | N/A | |
| Median Family Income | median_family_income | Integer | N/A | |
| Median value | median_value | Integer | N/A | |
| Poverty | poverty | Float | N/A | |
| Total population | total_population | Integer | N/A | |
| Total house | total_houses | Integer | N/A | |
| County FP | county_fp | Integer | N/A |
Views
Queries
| Label | Description | Link | No saved queries |
|---|
Info: http://api.estadisticas.gobierno.pr/api/v1/namespaces/us-census-bureau/datasets/2012ctv2/
Data (browseable): http://api.estadisticas.gobierno.pr/api/v1/namespaces/us-census-bureau/datasets/2012ctv2/data/
Data (Raw): http://api.estadisticas.gobierno.pr/api/v1/namespaces/us-census-bureau/datasets/2012ctv2/data/
curl -X GET http://api.estadisticas.gobierno.pr/api/v1/namespaces/us-census-bureau/datasets/2012ctv2/data/
Or if the dataset is not public, include your API token in the header.
curl -X GET http://api.estadisticas.gobierno.pr/api/v1/namespaces/us-census-bureau/datasets/2012ctv2/data/ -H 'Authorization: Token 9944b09199c62bc...'
import json, httplib
connection = httplib.HTTPConnection('api.estadisticas.gobierno.pr', 80)
connection.connect()
connection.request('GET', '/api/v1/namespaces/us-census-bureau/datasets/2012ctv2/data/?_format=json', '', {})
result = json.loads(connection.getresponse().read())
print result
import requests
requests.get('http://api.estadisticas.gobierno.pr/api/v1/namespaces/us-census-bureau/datasets/2012ctv2/data/?_format=json').json()