Jobs

Workplace vs residence jobs, industry, commute. Same starters as /demographics.

Endpoint:GET /api/v1/jobs

Query

Exactly one starter. Omit all to use the caller IP.

Name	Required	Description
`ip`	One of	Public IPv4 or IPv6. Omit all parameters to use the caller.
`zip`	One of	5-digit U.S. ZIP (ZCTA workplace and residence).
`lat`, `lng`	One of	Decimal degrees. Tract if the point is inside one, then ZCTA, place, or county. `lon` accepted.
`city`, `state`	One of	U.S. place. `state` is a two-letter code or full name.
`address`	One of	U.S. street address. Geocoded to rooftop tract when available.

Request

curl "https://speckinsights.netlify.app/api/v1/jobs?zip=10001" \
  -H "Authorization: Bearer sk_live_YOUR_KEY"

curl "https://speckinsights.netlify.app/api/v1/jobs?address=350%20Fifth%20Avenue%2C%20New%20York%2C%20NY%2010118" \
  -H "Authorization: Bearer sk_live_YOUR_KEY"

curl "https://speckinsights.netlify.app/api/v1/jobs?city=New%20York&state=NY" \
  -H "Authorization: Bearer sk_live_YOUR_KEY"

Response

Counts are jobs, not people. Dual jobholders count twice. Earnings bands (monthly): low ≤ $1,250, mid $1,251–$3,333, high above $3,333. Firm size is private jobs (JT02). Alaska 2016, Michigan 2021.

Field	Returns
`workplace`	Jobs in the geography — industry, earnings, firm size.
`residence`	Jobs held by residents of the geography.
`daytime_index`	Workplace jobs ÷ resident jobs.
`commute.into`	Top origin areas for workers here.
`commute.out`	Top destination areas for residents.

Example

{
  "ip": null,
  "geo": {
    "ip": null,
    "city": "New York",
    "region": "New York",
    "region_code": "NY",
    "country": "United States",
    "country_code": "US",
    "postal_code": "10001",
    "latitude": 40.7506,
    "longitude": -73.9971,
    "timezone": null,
    "isp": null,
    "org": null,
    "network": {
      "household": true,
      "hosting": false,
      "vpn": false,
      "proxy": false,
      "tor": false,
      "relay": false,
      "anycast": false
    }
  },
  "jobs": {
    "zipcode": "10001",
    "geography": "zcta",
    "geography_id": "10001",
    "name": "10001, NY",
    "vintage": "2023",
    "workplace": {
      "jobs": 84210,
      "age": {
        "under_30": 22140,
        "age_30_54": 49280,
        "age_55_plus": 12790
      },
      "earnings": {
        "low": 6840,
        "mid": 14820,
        "high": 62550
      },
      "industry": {
        "agriculture": 40,
        "mining": 10,
        "utilities": 180,
        "construction": 1420,
        "manufacturing": 4100,
        "wholesale": 1680,
        "retail": 3920,
        "transportation": 2110,
        "information": 24680,
        "finance": 1890,
        "real_estate": 980,
        "professional": 22140,
        "management": 2640,
        "administrative": 3870,
        "education": 2140,
        "health_care": 4680,
        "arts": 720,
        "accommodation_food": 4120,
        "other_services": 1420,
        "public_admin": 1470
      },
      "firm_size": {
        "private_jobs": 78120,
        "employees_0_19": 8420,
        "employees_20_49": 7360,
        "employees_50_249": 14880,
        "employees_250_499": 6120,
        "employees_500_plus": 41340
      }
    },
    "residence": {
      "jobs": 14210,
      "age": {
        "under_30": 5120,
        "age_30_54": 11680,
        "age_55_plus": 3040
      },
      "earnings": {
        "low": 1680,
        "mid": 4120,
        "high": 14040
      },
      "industry": {
        "agriculture": 20,
        "mining": 0,
        "utilities": 80,
        "construction": 540,
        "manufacturing": 1680,
        "wholesale": 420,
        "retail": 1240,
        "transportation": 480,
        "information": 4120,
        "finance": 860,
        "real_estate": 310,
        "professional": 5240,
        "management": 420,
        "administrative": 780,
        "education": 980,
        "health_care": 1420,
        "arts": 210,
        "accommodation_food": 980,
        "other_services": 360,
        "public_admin": 700
      },
      "firm_size": null
    },
    "daytime_index": 13.02,
    "commute": {
      "into": [
        {
          "geography": "zcta",
          "geography_id": "94040",
          "name": "94040, CA",
          "jobs": 4120,
          "share": 4.9
        },
        {
          "geography": "zcta",
          "geography_id": "94041",
          "name": "94041, CA",
          "jobs": 3680,
          "share": 4.4
        },
        {
          "geography": "zcta",
          "geography_id": "94087",
          "name": "94087, CA",
          "jobs": 2910,
          "share": 3.5
        }
      ],
      "out": [
        {
          "geography": "zcta",
          "geography_id": "94043",
          "name": "94043, CA",
          "jobs": 6240,
          "share": 31.5
        },
        {
          "geography": "zcta",
          "geography_id": "94041",
          "name": "94041, CA",
          "jobs": 1880,
          "share": 9.5
        },
        {
          "geography": "zcta",
          "geography_id": "94301",
          "name": "94301, CA",
          "jobs": 1420,
          "share": 7.2
        }
      ]
    }
  },
  "notes": [],
  "resolution": {
    "input": "zip",
    "geography": "zcta",
    "geography_id": "10001",
    "tract": null,
    "confidence": "high"
  }
}

Example. /demographics also returns jobs when a U.S. geography is found.