Adult / Census Income

Name: Adult / Census Income
Creator: Data 37

API

1994 US Census records for predicting whether income exceeds $50K per year. Source: UCI Machine Learning Repository — https://archive.ics.uci.edu/dataset/2 Data vintage: 1994 (published 1996) Cleaned and reformatted from the original; see source page for full documentation and citation.

★ Free▣ DS-ready⤓ dataset · csv

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Method GET

Networks

Format csv download

License UCI ML Repository. Most datasets are licensed CC BY 4.0 — cite the dataset page.

The URL

Send a GET request — parameters go in the query string — no payment, no API key. The relay returns the origin's JSON response directly.

https://api.datapoint.market/r/data37/adult-census-income

Example request

{}

Response shape

Fields

object
- columns array of
  - string
- note string
- sample_rows array of
  - object
    - age string age in years
    - capital_gain string · 2174 | 0 capital gains (USD/yr)
    - capital_loss string capital losses (USD/yr)
    - education string · Bachelors | HS-grad highest education level attained
    - education_num string · 13 | 9 education level as ordinal number
    - fnlwgt string census final weight — number of people the row represents
    - hours_per_week string · 40 | 13 working hours per week
    - income string · <=50K | >50K income bracket — the target variable
    - marital_status string marital status
    - native_country string country of origin
    - occupation string occupation category
    - race string race
    - relationship string · Not-in-family | Husband relationship within household
    - sex string · Male | Female sex
    - workclass string employer type (Private, Self-emp, Federal-gov, …)

Example rows

age	capital_gain	education	education_num	fnlwgt	hours_per_week	income	marital_status	native_country	occupation	race	relationship	sex	workclass
39	2174	Bachelors	13	77516	40	<=50K	Never-married	United-States	Adm-clerical	White	Not-in-family	Male	State-gov
50	0	Bachelors	13	83311	13	<=50K	Married-civ-spouse	United-States	Exec-managerial	White	Husband	Male	Self-emp-not-inc
38	0	HS-grad	9	215646	40	<=50K	Divorced	United-States	Handlers-cleaners	White	Not-in-family	Male	Private

Example response (JSON)

{
  "columns": [
    "age",
    "workclass",
    "fnlwgt",
    "education",
    "education_num",
    "marital_status",
    "occupation",
    "relationship",
    "race",
    "sex",
    "capital_gain",
    "capital_loss",
    "hours_per_week",
    "native_country",
    "income"
  ],
  "note": "Free preview. Full file delivered on download.",
  "sample_rows": [
    {
      "age": "39",
      "capital_gain": "2174",
      "capital_loss": "0",
      "education": "Bachelors",
      "education_num": "13",
      "fnlwgt": "77516",
      "hours_per_week": "40",
      "income": "<=50K",
      "marital_status": "Never-married",
      "native_country": "United-States",
      "occupation": "Adm-clerical",
      "race": "White",
      "relationship": "Not-in-family",
      "sex": "Male",
      "workclass": "State-gov"
    },
    {
      "age": "50",
      "capital_gain": "0",
      "capital_loss": "0",
      "education": "Bachelors",
      "education_num": "13",
      "fnlwgt": "83311",
      "hours_per_week": "13",
      "income": "<=50K",
      "marital_status": "Married-civ-spouse",
      "native_country": "United-States",
      "occupation": "Exec-managerial",
      "race": "White",
      "relationship": "Husband",
      "sex": "Male",
      "workclass": "Self-emp-not-inc"
    },
    {
      "age": "38",
      "capital_gain": "0",
      "capital_loss": "0",
      "education": "HS-grad",
      "education_num": "9",
      "fnlwgt": "215646",
      "hours_per_week": "40",
      "income": "<=50K",
      "marital_status": "Divorced",
      "native_country": "United-States",
      "occupation": "Handlers-cleaners",
      "race": "White",
      "relationship": "Not-in-family",
      "sex": "Male",
      "workclass": "Private"
    }
  ]
}

declaredfresh

Call it from the shell

curl 'https://api.datapoint.market/r/data37/adult-census-income'

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call_endpoint("data37", "adult-census-income", params={})

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Provider: Data 37