05.04.2011

US-Census-Daten aufgrund von Länge/Breite oder ZIP-Code

Wenn wir noch eine Volkszählung hätten, wäre eine solche API eine Möglichkeit, sie für die Verwendung von Mashups anzubieten (infochimps.com hat übrigens noch eine ganze Reihe weiterer APIs).

Geographic: latitude, longitude, city, area code, zip code, metro code, region code, country code

Ethnic: percent hispanic, percent asian, percent pacific, percent white, percent black, percent native

Age: percent under 5, percent under 18, percent over 65

Population:  total, people per household, households, housing units

Demographic: percent female, percent semi permanent, percent bs graduate, percent below poverty, work travel time – in minutes, percent hs graduate, percent non english, percent foreign

Economic: household income – median, per capita income, housing unit value, percent homeownership


Beispiel
Mit dem Input (in diesem Beispiel mit der ZIP-Code)
http://api.infochimps.com/web/an/census/combined?zip=78701&apikey=api_test-W1cipwpcdu9Cbd9pmm8D4Cjc469

ergibt sich folgender Ouput:
{"household_income":35757.0,"percent_hispanic":0.15,"percent_semi_permanent":0.27,"percent_asian":0.04,"percent_under_18":0.04,"zip":78701,"percent_bs_graduate":0.14,"per_capita_income":37485,"percent_below_poverty":0.3,"work_travel_time":6.67,"housing_unit_value":212900,"percent_homeownership":0.38,"housing_units":2002,"people_per_household":1.54,"percent_dual_race":0.05,"percent_pacific":0.01,"percent_white":0.73,"population":3780,"percent_hs_graduate":0.14,"percent_non_english":0.26,"percent_foreign":0.12,"percent_black":0.1,"percent_over_65":0.12,"households":1707,"percent_under_5":0.02,"percent_native":0.02,"percent_female":0.37} 

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