County Data Lookup API

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Overview

To use County Data Lookup, you need an API key. You can get one by creating a free account and visiting your dashboard.

GET Endpoint

URL

https://api.apiverve.com/v1/countydata

Example

How to call the County Data Lookup API in different programming languages.

cURL Request

curl -X GET \
  "https://api.apiverve.com/v1/countydata?state=MO&county=Jackson" \
  -H "X-API-Key: your_api_key_here"

JavaScript (Fetch API)

const response = await fetch('https://api.apiverve.com/v1/countydata?state=MO&county=Jackson', {
  method: 'GET',
  headers: {
    'X-API-Key': 'your_api_key_here',
    'Content-Type': 'application/json'
  }
});

const data = await response.json();
console.log(data);

Python (Requests)

import requests

headers = {
    'X-API-Key': 'your_api_key_here',
    'Content-Type': 'application/json'
}

response = requests.get('https://api.apiverve.com/v1/countydata?state=MO&county=Jackson', headers=headers)

data = response.json()
print(data)

Go (net/http)

package main

import (
    "fmt"
    "io"
    "net/http"

)

func main() {
    req, _ := http.NewRequest("GET", "https://api.apiverve.com/v1/countydata?state=MO&county=Jackson", nil)

    req.Header.Set("X-API-Key", "your_api_key_here")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

Example Response

{
  "status": "ok",
  "error": null,
  "data": {
    "name": "jackson county",
    "state": "MO",
    "age": {
      "0-4": 0.0644100874666257,
      "5-9": 0.06532756955438819,
      "10-14": 0.06595060390235714,
      "15-19": 0.05967616438434107,
      "20-24": 0.059725950234064615,
      "25-29": 0.08192474939936928,
      "30-34": 0.07523353119652466,
      "35-39": 0.06868029092005673,
      "40-44": 0.05831060964906666,
      "45-49": 0.058805623240603636,
      "50-54": 0.05858087569042305,
      "55-59": 0.0674783182624454,
      "60-64": 0.06208437705811146,
      "65-69": 0.05099777955110233,
      "70-74": 0.03891546504962227,
      "75-79": 0.026437708656052324,
      "80-84": 0.01748905778145719,
      "85+": 0.01997123800338828
    },
    "male": 339932,
    "female": 363079,
    "health": {
      "poorhealth": 20.588989742,
      "physicallyunhealthydays": 4.247736361,
      "mentallyunhealthydays": 4.8111015035,
      "lowbirthweightpercent": 9.1518749808,
      "smokerspercent": 20.957241772,
      "obesitypercent": 31.5,
      "foodenvindex": 7.5,
      "physicallyinactivepercent": 23.2,
      "excessivedrinkingpercent": 18.940103365,
      "alcoholimpaireddrivingdeaths": 152,
      "teenbirthrate": 31.109351559,
      "uninsured": 12.486314662,
      "withannualmammogram": 45,
      "vaccinated": 51,
      "childreninpoverty": 19.6,
      "80thpercentileincome": 108296,
      "20thpercentileincome": 23275,
      "childreninsingleparenthouseholds": 33.224850811,
      "violentcrimerate": 941.43198334,
      "averagedailypm25": 9.1,
      "severehousingproblems": 15.347550638,
      "drivealonetowork": 83.470246386,
      "longcommutedrivesalone": 33.7
    },
    "longitude": -94.34749665503394,
    "latitude": 39.016701918102484,
    "education": {
      "lessthanhighschool": 9.4,
      "highschool": 28.3,
      "somecollege": 30.7,
      "bachelors": 31.6
    },
    "zipcodes": [
      "64137",
      "64111",
      "64053",
      "64055",
      "64064",
      "64029",
      "64106",
      "64108",
      "64034",
      "64118",
      "64136",
      "64139",
      "64125",
      "64030",
      "64014",
      "64066",
      "64080",
      "64123",
      "64131",
      "64145",
      "64128",
      "64121",
      "64170",
      "64050",
      "64057",
      "64133",
      "64109",
      "64130",
      "64134",
      "64129",
      "64158",
      "64163",
      "64070",
      "64102",
      "64105",
      "64086",
      "64101",
      "64124",
      "64157",
      "64088",
      "64061",
      "64051",
      "64002",
      "64081",
      "64013",
      "64016",
      "64112",
      "64114",
      "64110",
      "64152",
      "64127",
      "64147",
      "64120",
      "64146",
      "64199",
      "64058",
      "64054",
      "64074",
      "64119",
      "64138",
      "64149",
      "64156",
      "64132",
      "64171",
      "64148",
      "64141",
      "64999",
      "64052",
      "64015",
      "64063",
      "64075",
      "64056",
      "64082",
      "64113",
      "64155",
      "64126",
      "64197",
      "64065",
      "64198"
    ],
    "lifeexpectancy": 77.19,
    "avgincome": 47054,
    "povertyrate": 13.7,
    "costofliving": {
      "livingwage": 14.55,
      "foodcosts": 3246,
      "medicalcosts": 2681,
      "housingcosts": 8136,
      "taxcosts": 6263
    },
    "landareakm2": 1565.601892,
    "areakm2": 1596.319707
  }
}

Authentication

The County Data Lookup API requires authentication via API key. Include your API key in the request header:

Required Header

X-API-Key: your_api_key_here

Learn more about authentication →

Interactive API Playground

Test the County Data Lookup API directly in your browser with live requests and responses.

Try County Data Lookup APIView details and test in the API marketplace

Parameters

The following parameters are available for the County Data Lookup API:

Get County Data

Parameter	Type	Required	Description	Default	Example
`state`	string	`required`	The two letter name of the US state the county is in (e.g., MO) Length: `2 - 2 chars`	-	`MO`
`county`	string	`required`	The name of the US county to get data about (e.g. Jackson)	-	`Jackson`

Response

The County Data Lookup API returns responses in JSON, XML, YAML, and CSV formats. The JSON response is shown in the Example section above; alternative formats below.

Other Response Formats

XML Response

200 OK

<?xml version="1.0" encoding="UTF-8"?>
<response>
  <status>ok</status>
  <error xsi:nil="true" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"/>
  <data>
    <name>jackson county</name>
    <state>MO</state>
    <age>
      <0_4>0.0644100874666257</0_4>
      <5_9>0.06532756955438819</5_9>
      <10_14>0.06595060390235714</10_14>
      <15_19>0.05967616438434107</15_19>
      <20_24>0.059725950234064615</20_24>
      <25_29>0.08192474939936928</25_29>
      <30_34>0.07523353119652466</30_34>
      <35_39>0.06868029092005673</35_39>
      <40_44>0.05831060964906666</40_44>
      <45_49>0.058805623240603636</45_49>
      <50_54>0.05858087569042305</50_54>
      <55_59>0.0674783182624454</55_59>
      <60_64>0.06208437705811146</60_64>
      <65_69>0.05099777955110233</65_69>
      <70_74>0.03891546504962227</70_74>
      <75_79>0.026437708656052324</75_79>
      <80_84>0.01748905778145719</80_84>
      <85_>0.01997123800338828</85_>
    </age>
    <male>339932</male>
    <female>363079</female>
    <health>
      <poorhealth>20.588989742</poorhealth>
      <physicallyunhealthydays>4.247736361</physicallyunhealthydays>
      <mentallyunhealthydays>4.8111015035</mentallyunhealthydays>
      <lowbirthweightpercent>9.1518749808</lowbirthweightpercent>
      <smokerspercent>20.957241772</smokerspercent>
      <obesitypercent>31.5</obesitypercent>
      <foodenvindex>7.5</foodenvindex>
      <physicallyinactivepercent>23.2</physicallyinactivepercent>
      <excessivedrinkingpercent>18.940103365</excessivedrinkingpercent>
      <alcoholimpaireddrivingdeaths>152</alcoholimpaireddrivingdeaths>
      <teenbirthrate>31.109351559</teenbirthrate>
      <uninsured>12.486314662</uninsured>
      <withannualmammogram>45</withannualmammogram>
      <vaccinated>51</vaccinated>
      <childreninpoverty>19.6</childreninpoverty>
      <80thpercentileincome>108296</80thpercentileincome>
      <20thpercentileincome>23275</20thpercentileincome>
      <childreninsingleparenthouseholds>33.224850811</childreninsingleparenthouseholds>
      <violentcrimerate>941.43198334</violentcrimerate>
      <averagedailypm25>9.1</averagedailypm25>
      <severehousingproblems>15.347550638</severehousingproblems>
      <drivealonetowork>83.470246386</drivealonetowork>
      <longcommutedrivesalone>33.7</longcommutedrivesalone>
    </health>
    <longitude>-94.34749665503394</longitude>
    <latitude>39.016701918102484</latitude>
    <education>
      <lessthanhighschool>9.4</lessthanhighschool>
      <highschool>28.3</highschool>
      <somecollege>30.7</somecollege>
      <bachelors>31.6</bachelors>
    </education>
    <zipcodes>
      <zipcode>64137</zipcode>
      <zipcode>64111</zipcode>
      <zipcode>64053</zipcode>
      <zipcode>64055</zipcode>
      <zipcode>64064</zipcode>
      <zipcode>64029</zipcode>
      <zipcode>64106</zipcode>
      <zipcode>64108</zipcode>
      <zipcode>64034</zipcode>
      <zipcode>64118</zipcode>
      <zipcode>64136</zipcode>
      <zipcode>64139</zipcode>
      <zipcode>64125</zipcode>
      <zipcode>64030</zipcode>
      <zipcode>64014</zipcode>
      <zipcode>64066</zipcode>
      <zipcode>64080</zipcode>
      <zipcode>64123</zipcode>
      <zipcode>64131</zipcode>
      <zipcode>64145</zipcode>
      <zipcode>64128</zipcode>
      <zipcode>64121</zipcode>
      <zipcode>64170</zipcode>
      <zipcode>64050</zipcode>
      <zipcode>64057</zipcode>
      <zipcode>64133</zipcode>
      <zipcode>64109</zipcode>
      <zipcode>64130</zipcode>
      <zipcode>64134</zipcode>
      <zipcode>64129</zipcode>
      <zipcode>64158</zipcode>
      <zipcode>64163</zipcode>
      <zipcode>64070</zipcode>
      <zipcode>64102</zipcode>
      <zipcode>64105</zipcode>
      <zipcode>64086</zipcode>
      <zipcode>64101</zipcode>
      <zipcode>64124</zipcode>
      <zipcode>64157</zipcode>
      <zipcode>64088</zipcode>
      <zipcode>64061</zipcode>
      <zipcode>64051</zipcode>
      <zipcode>64002</zipcode>
      <zipcode>64081</zipcode>
      <zipcode>64013</zipcode>
      <zipcode>64016</zipcode>
      <zipcode>64112</zipcode>
      <zipcode>64114</zipcode>
      <zipcode>64110</zipcode>
      <zipcode>64152</zipcode>
      <zipcode>64127</zipcode>
      <zipcode>64147</zipcode>
      <zipcode>64120</zipcode>
      <zipcode>64146</zipcode>
      <zipcode>64199</zipcode>
      <zipcode>64058</zipcode>
      <zipcode>64054</zipcode>
      <zipcode>64074</zipcode>
      <zipcode>64119</zipcode>
      <zipcode>64138</zipcode>
      <zipcode>64149</zipcode>
      <zipcode>64156</zipcode>
      <zipcode>64132</zipcode>
      <zipcode>64171</zipcode>
      <zipcode>64148</zipcode>
      <zipcode>64141</zipcode>
      <zipcode>64999</zipcode>
      <zipcode>64052</zipcode>
      <zipcode>64015</zipcode>
      <zipcode>64063</zipcode>
      <zipcode>64075</zipcode>
      <zipcode>64056</zipcode>
      <zipcode>64082</zipcode>
      <zipcode>64113</zipcode>
      <zipcode>64155</zipcode>
      <zipcode>64126</zipcode>
      <zipcode>64197</zipcode>
      <zipcode>64065</zipcode>
      <zipcode>64198</zipcode>
    </zipcodes>
    <lifeexpectancy>77.19</lifeexpectancy>
    <avgincome>47054</avgincome>
    <povertyrate>13.7</povertyrate>
    <costofliving>
      <livingwage>14.55</livingwage>
      <foodcosts>3246</foodcosts>
      <medicalcosts>2681</medicalcosts>
      <housingcosts>8136</housingcosts>
      <taxcosts>6263</taxcosts>
    </costofliving>
    <landareakm2>1565.601892</landareakm2>
    <areakm2>1596.319707</areakm2>
  </data>
</response>

YAML Response

200 OK

status: ok
error: null
data:
  name: jackson county
  state: MO
  age:
    0-4: 0.0644100874666257
    5-9: 0.06532756955438819
    10-14: 0.06595060390235714
    15-19: 0.05967616438434107
    20-24: 0.059725950234064615
    25-29: 0.08192474939936928
    30-34: 0.07523353119652466
    35-39: 0.06868029092005673
    40-44: 0.05831060964906666
    45-49: 0.058805623240603636
    50-54: 0.05858087569042305
    55-59: 0.0674783182624454
    60-64: 0.06208437705811146
    65-69: 0.05099777955110233
    70-74: 0.03891546504962227
    75-79: 0.026437708656052324
    80-84: 0.01748905778145719
    85+: 0.01997123800338828
  male: 339932
  female: 363079
  health:
    poorhealth: 20.588989742
    physicallyunhealthydays: 4.247736361
    mentallyunhealthydays: 4.8111015035
    lowbirthweightpercent: 9.1518749808
    smokerspercent: 20.957241772
    obesitypercent: 31.5
    foodenvindex: 7.5
    physicallyinactivepercent: 23.2
    excessivedrinkingpercent: 18.940103365
    alcoholimpaireddrivingdeaths: 152
    teenbirthrate: 31.109351559
    uninsured: 12.486314662
    withannualmammogram: 45
    vaccinated: 51
    childreninpoverty: 19.6
    80thpercentileincome: 108296
    20thpercentileincome: 23275
    childreninsingleparenthouseholds: 33.224850811
    violentcrimerate: 941.43198334
    averagedailypm25: 9.1
    severehousingproblems: 15.347550638
    drivealonetowork: 83.470246386
    longcommutedrivesalone: 33.7
  longitude: -94.34749665503394
  latitude: 39.016701918102484
  education:
    lessthanhighschool: 9.4
    highschool: 28.3
    somecollege: 30.7
    bachelors: 31.6
  zipcodes:
    - '64137'
    - '64111'
    - '64053'
    - '64055'
    - '64064'
    - '64029'
    - '64106'
    - '64108'
    - '64034'
    - '64118'
    - '64136'
    - '64139'
    - '64125'
    - '64030'
    - '64014'
    - '64066'
    - '64080'
    - '64123'
    - '64131'
    - '64145'
    - '64128'
    - '64121'
    - '64170'
    - '64050'
    - '64057'
    - '64133'
    - '64109'
    - '64130'
    - '64134'
    - '64129'
    - '64158'
    - '64163'
    - '64070'
    - '64102'
    - '64105'
    - '64086'
    - '64101'
    - '64124'
    - '64157'
    - '64088'
    - '64061'
    - '64051'
    - '64002'
    - '64081'
    - '64013'
    - '64016'
    - '64112'
    - '64114'
    - '64110'
    - '64152'
    - '64127'
    - '64147'
    - '64120'
    - '64146'
    - '64199'
    - '64058'
    - '64054'
    - '64074'
    - '64119'
    - '64138'
    - '64149'
    - '64156'
    - '64132'
    - '64171'
    - '64148'
    - '64141'
    - '64999'
    - '64052'
    - '64015'
    - '64063'
    - '64075'
    - '64056'
    - '64082'
    - '64113'
    - '64155'
    - '64126'
    - '64197'
    - '64065'
    - '64198'
  lifeexpectancy: 77.19
  avgincome: 47054
  povertyrate: 13.7
  costofliving:
    livingwage: 14.55
    foodcosts: 3246
    medicalcosts: 2681
    housingcosts: 8136
    taxcosts: 6263
  landareakm2: 1565.601892
  areakm2: 1596.319707

CSV Response

200 OK

key	value
name	jackson county
state	MO
age	{0-4:0.0644100874666257,5-9:0.06532756955438819,10-14:0.06595060390235714,15-19:0.05967616438434107,20-24:0.059725950234064615,25-29:0.08192474939936928,30-34:0.07523353119652466,35-39:0.06868029092005673,40-44:0.05831060964906666,45-49:0.058805623240603636,50-54:0.05858087569042305,55-59:0.0674783182624454,60-64:0.06208437705811146,65-69:0.05099777955110233,70-74:0.03891546504962227,75-79:0.026437708656052324,80-84:0.01748905778145719,85+:0.01997123800338828}
male	339932
female	363079
health	{poorhealth:20.588989742,physicallyunhealthydays:4.247736361,mentallyunhealthydays:4.8111015035,lowbirthweightpercent:9.1518749808,smokerspercent:20.957241772,obesitypercent:31.5,foodenvindex:7.5,physicallyinactivepercent:23.2,excessivedrinkingpercent:18.940103365,alcoholimpaireddrivingdeaths:152,teenbirthrate:31.109351559,uninsured:12.486314662,withannualmammogram:45,vaccinated:51,childreninpoverty:19.6,80thpercentileincome:108296,20thpercentileincome:23275,childreninsingleparenthouseholds:33.224850811,violentcrimerate:941.43198334,averagedailypm25:9.1,severehousingproblems:15.347550638,drivealonetowork:83.470246386,longcommutedrivesalone:33.7}
longitude	-94.34749665503394
latitude	39.016701918102484
education	{lessthanhighschool:9.4,highschool:28.3,somecollege:30.7,bachelors:31.6}
zipcodes	[64137,64111,64053,64055,64064,64029,64106,64108,64034,64118,64136,64139,64125,64030,64014,64066,64080,64123,64131,64145,64128,64121,64170,64050,64057,64133,64109,64130,64134,64129,64158,64163,64070,64102,64105,64086,64101,64124,64157,64088,64061,64051,64002,64081,64013,64016,64112,64114,64110,64152,64127,64147,64120,64146,64199,64058,64054,64074,64119,64138,64149,64156,64132,64171,64148,64141,64999,64052,64015,64063,64075,64056,64082,64113,64155,64126,64197,64065,64198]
lifeexpectancy	77.19
avgincome	47054
povertyrate	13.7
costofliving	{livingwage:14.55,foodcosts:3246,medicalcosts:2681,housingcosts:8136,taxcosts:6263}
landareakm2	1565.601892
areakm2	1596.319707

View in Marketplace

Response Structure

All API responses follow a consistent structure with the following fields:

Field	Type	Description	Example
`status`	string	Indicates whether the request was successful ("ok") or failed ("error")	`ok`
`error`	string \| null	Contains error message if status is "error", otherwise null	`null`
`data`	object \| null	Contains the API response data if successful, otherwise null	`{...}`

Learn more about response formats →

Response Data Fields

When the request is successful, the data object contains the following fields:

Response fields marked with Premium are available exclusively on paid plans.View pricing

Field	Type	Sample Value	Description
`name`	string	`"jackson county"`	County name in lowercase format
`state`	string	`"MO"`	Two-letter state code where county is located
`age`Premium	object	`{...}`	Age distribution percentages by age groups
└ `0-4`	number	`0.0644100874666257`	Percentage of population aged 0-4 years
└ `5-9`	number	`0.06532756955438819`	Percentage of population aged 5-9 years
└ `10-14`	number	`0.06595060390235714`	Percentage of population aged 10-14 years
└ `15-19`	number	`0.05967616438434107`	Percentage of population aged 15-19 years
└ `20-24`	number	`0.059725950234064615`	Percentage of population aged 20-24 years
└ `25-29`	number	`0.08192474939936928`	Percentage of population aged 25-29 years
└ `30-34`	number	`0.07523353119652466`	Percentage of population aged 30-34 years
└ `35-39`	number	`0.06868029092005673`	Percentage of population aged 35-39 years
└ `40-44`	number	`0.05831060964906666`	Percentage of population aged 40-44 years
└ `45-49`	number	`0.058805623240603636`	Percentage of population aged 45-49 years
└ `50-54`	number	`0.05858087569042305`	Percentage of population aged 50-54 years
└ `55-59`	number	`0.0674783182624454`	Percentage of population aged 55-59 years
└ `60-64`	number	`0.06208437705811146`	Percentage of population aged 60-64 years
└ `65-69`	number	`0.05099777955110233`	Percentage of population aged 65-69 years
└ `70-74`	number	`0.03891546504962227`	Percentage of population aged 70-74 years
└ `75-79`	number	`0.026437708656052324`	Percentage of population aged 75-79 years
└ `80-84`	number	`0.01748905778145719`	Percentage of population aged 80-84 years

Headers

Only X-API-Key is required. Optional headers include Accept for response format negotiation (JSON, XML, or YAML), User-Agent, and X-Request-ID for request tracing. See all request headers →

GraphQL AccessALPHA

Access County Data Lookup through GraphQL to combine it with other API calls in a single request. Query only the county data lookup data you need with precise field selection, and orchestrate complex data fetching workflows.

Test County Data Lookup in the GraphQL Explorer to confirm availability and experiment with queries.

Credit Cost: Each API called in your GraphQL query consumes its standard credit cost.

GraphQL Endpoint

POST https://api.apiverve.com/v1/graphql

GraphQL Query Example

query {
  countydata(
    input: {
      state: "MO"
      county: "Jackson"
    }
  ) {
    name
    state
    age {
      0_4
      5_9
      10_14
      15_19
      20_24
      25_29
      30_34
      35_39
      40_44
      45_49
      50_54
      55_59
      60_64
      65_69
      70_74
      75_79
      80_84
      85+
    }
    male
    female
    health {
      poorhealth
      physicallyunhealthydays
      mentallyunhealthydays
      lowbirthweightpercent
      smokerspercent
      obesitypercent
      foodenvindex
      physicallyinactivepercent
      excessivedrinkingpercent
      alcoholimpaireddrivingdeaths
      teenbirthrate
      uninsured
      withannualmammogram
      vaccinated
      childreninpoverty
      80thpercentileincome
      20thpercentileincome
      childreninsingleparenthouseholds
      violentcrimerate
      averagedailypm25
      severehousingproblems
      drivealonetowork
      longcommutedrivesalone
    }
    longitude
    latitude
    education {
      lessthanhighschool
      highschool
      somecollege
      bachelors
    }
    zipcodes
    lifeexpectancy
    avgincome
    povertyrate
    costofliving {
      livingwage
      foodcosts
      medicalcosts
      housingcosts
      taxcosts
    }
    landareakm2
    areakm2
  }
}

Note: Authentication is handled via the x-api-key header in your GraphQL request, not as a query parameter.

Try in GraphQL Explorer GraphQL Documentation

CORS Support

The County Data Lookup API accepts cross-origin requests from any origin, so it can be called directly from browser-based applications without a proxy. See CORS support →

Rate Limiting

County Data Lookup requests are throttled per minute on the Free plan and unthrottled on paid plans. Exceeding the limit returns 429 Too Many Requests; rate-limit usage is reported in the X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset response headers. See per-plan limits and best practices →

Error Codes

The County Data Lookup API uses standard HTTP status codes — 200 on success, 400 for invalid parameters, 401 for missing or invalid keys, 403 for insufficient credits, 429 for rate-limit exhaustion, and 500/503 for server-side issues. Each error response includes an X-Request-ID header you can quote when contacting support. See full error handling guide →

SDKs for County Data Lookup

Official County Data Lookup packages on npm, PyPI, NuGet, and JitPack — plus a Postman collection and an OpenAPI spec. See the SDK guide →

JitPack

No-Code Integrations

County Data Lookup works with Zapier, Make, Pipedream, n8n, and Power Automate using the same API key. See setup guides →

Zapier

Make

Pipedream

n8n

Power Automate

Frequently Asked Questions

How do I get an API key for County Data Lookup?

Sign up for a free account at dashboard.apiverve.com. Your API key will be automatically generated and available in your dashboard. The same key works for County Data Lookup and all other APIVerve APIs. The free plan includes 1,000 credits plus a 500 credit bonus.

How many credits does County Data Lookup cost?

Each successful County Data Lookup API call consumes credits based on plan tier. Check the pricing section above for the exact credit cost. Failed requests and errors don't consume credits, so you only pay for successful county data lookup lookups.

Can I use County Data Lookup in production?

The free plan is for testing and development only. For production use of County Data Lookup, upgrade to a paid plan (Starter, Pro, or Mega) which includes commercial use rights, no attribution requirements, and guaranteed uptime SLAs. All paid plans are production-ready.

Can I use County Data Lookup from a browser?

Yes! The County Data Lookup API supports CORS with wildcard configuration, so you can call it directly from browser-based JavaScript without needing a proxy server. See the CORS section above for details.

What happens if I exceed my County Data Lookup credit limit?

When you reach your monthly credit limit, County Data Lookup API requests will return an error until you upgrade your plan or wait for the next billing cycle. You'll receive notifications at 80% and 95% usage to give you time to upgrade if needed.

What's Next?

Continue your journey with these recommended resources

Browse All APIs

Explore our complete catalog of APIs

Authentication Guide

Learn about API keys and security

Rate Limits

Understand usage limits and best practices

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County Data Lookup API

Overview

GET Endpoint

Example

Authentication

Interactive API Playground

Parameters

Get County Data

Response

Other Response Formats

Response Structure

Response Data Fields

Headers

GraphQL AccessALPHA

CORS Support

Rate Limiting

Error Codes

SDKs for County Data Lookup

No-Code Integrations

Frequently Asked Questions

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What's Next?

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Authentication Guide

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