访问美国劳动部国家儿童保育价格数据库的儿童保育成本数据 按州 邮政编码查询或比较各地区的成本 超过48000个记录涵盖所有美国县
在 Postman 中运行
{
"success": true,
"count": 58,
"query": {
"state": "CA",
"year": 2022
},
"results": [
{
"state": "CA",
"county": "Alameda County",
"county_fips": "06001",
"year": 2022,
"weekly_prices": {
"center_based": {
"infant": {
"median": 515.91,
"p75": 584.22
},
"toddler": {
"median": 371.02,
"p75": 432.41
},
"preschool": {
"median": 408.33,
"p75": 477.24
}
},
"family_childcare": {
"infant": {
"median": 360.65,
"p75": 465.57
},
"toddler": {
"median": 311.36,
"p75": 375.7
},
"preschool": {
"median": 345.38,
"p75": 413.28
}
}
},
"annual_estimates": {
"center_infant": 26827,
"center_toddler": 19293,
"center_preschool": 21233,
"family_infant": 18754,
"family_toddler": 16191,
"family_preschool": 17960
},
"demographics": {
"median_household_income": 122488,
"total_population": 1663823,
"female_labor_force_participation_under6": 75.1,
"households_under6_both_working": 54393,
"households_under6_single_mom": 17574
}
},
{
"state": "CA",
"county": "Alpine County",
"county_fips": "06003",
"year": 2022,
"weekly_prices": {
"center_based": {
"infant": {
"median": 355.94,
"p75": 393.85
},
"toddler": {
"median": 186.24,
"p75": 229.24
},
"preschool": {
"median": 167.84,
"p75": 220.78
}
},
"family_childcare": {
"infant": {
"median": 201.96,
"p75": 240.9
},
"toddler": {
"median": 199.5,
"p75": 204.89
},
"preschool": {
"median": 199.5,
"p75": 204.89
}
}
},
"annual_estimates": {
"center_infant": 18509,
"center_toddler": 9684,
"center_preschool": 8728,
"family_infant": 10502,
"family_toddler": 10374,
"family_preschool": 10374
},
"demographics": {
"median_household_income": 101125,
"total_population": 1515,
"female_labor_force_participation_under6": 100,
"households_under6_both_working": 95,
"households_under6_single_mom": 22
}
},
{
"state": "CA",
"county": "Amador County",
"county_fips": "06005",
"year": 2022,
"weekly_prices": {
"center_based": {
"infant": {
"median": 234.97,
"p75": 345.86
},
"toddler": {
"median": 186.21,
"p75": 215.01
},
"preschool": {
"median": 145.46,
"p75": 172.04
}
},
"family_childcare": {
"infant": {
"median": 216.09,
"p75": 257.82
},
"toddler": {
"median": 204.62,
"p75": 234.89
},
"preschool": {
"median": 194.08,
"p75": 223.7
}
}
},
"annual_estimates": {
"center_infant": 12218,
"center_toddler": 9683,
"center_preschool": 7564,
"family_infant": 11237,
"family_toddler": 10640,
"family_preschool": 10092
},
"demographics": {
"median_household_income": 74853,
"total_population": 40577,
"female_labor_force_participation_under6": 63.9,
"households_under6_both_working": 1025,
"households_under6_single_mom": 563
}
},
{
"state": "CA",
"county": "Butte County",
"county_fips": "06007",
"year": 2022,
"weekly_prices": {
"center_based": {
"infant": {
"median": 354.03,
"p75": 369.57
},
"toddler": {
"median": 216.29,
"p75": 265.52
},
"preschool": {
"median": 179.09,
"p75": 219.32
}
},
"family_childcare": {
"infant": {
"median": 291.06,
"p75": 293.81
},
"toddler": {
"median": 242.17,
"p75": 247.97
},
"preschool": {
"median": 224.87,
"p75": 240.88
}
}
},
"annual_estimates": {
"center_infant": 18410,
"center_toddler": 11247,
"center_preschool": 9313,
"family_infant": 15135,
"family_toddler": 12593,
"family_preschool": 11693
},
"demographics": {
"median_household_income": 66085,
"total_population": 213605,
"female_labor_force_participation_under6": 72.2,
"households_under6_both_working": 5234,
"households_under6_single_mom": 3147
}
},
{
"state": "CA",
"county": "Calaveras County",
"county_fips": "06009",
"year": 2022,
"weekly_prices": {
"center_based": {
"infant": {
"median": 290.98,
"p75": 331.58
},
"toddler": {
"median": 196.22,
"p75": 230.12
},
"preschool": {
"median": 162.48,
"p75": 190.08
}
},
"family_childcare": {
"infant": {
"median": 243.78,
"p75": 280.47
},
"toddler": {
"median": 219.02,
"p75": 245.6
},
"preschool": {
"median": 205.65,
"p75": 236.01
}
}
},
"annual_estimates": {
"center_infant": 15131,
"center_toddler": 10203,
"center_preschool": 8449,
"family_infant": 12677,
"family_toddler": 11389,
"family_preschool": 10694
},
"demographics": {
"median_household_income": 77526,
"total_population": 45674,
"female_labor_force_participation_under6": 54.1,
"households_under6_both_working": 765,
"households_under6_single_mom": 304
}
},
{
"state": "CA",
"county": "Colusa County",
"county_fips": "06011",
"year": 2022,
"weekly_prices": {
"center_based": {
"infant": {
"median": 264.77,
"p75": 353.16
},
"toddler": {
"median": 184.51,
"p75": 213.22
},
"preschool": {
"median": 152.78,
"p75": 176.12
}
},
"family_childcare": {
"infant": {
"median": 240.01
}
}
}
}
],
"_note": "Response truncated for documentation purposes"
}
curl --location --request GET 'https://zylalabs.com/api/12055/childcare+cost+data+api/22998/get+childcare+costs?state=CA' --header 'Authorization: Bearer YOUR_API_KEY'
注册后，每个开发者都会被分配一个个人 API 访问密钥，这是一个唯一的字母和数字组合，用于访问我们的 API 端点。要使用 儿童保育成本数据 API 进行身份验证，只需在 Authorization 标头中包含您的 bearer token。
| 标头 | 描述 |
|---|---|
授权
|
必需
应为 Bearer access_key. 订阅后，请查看上方的"您的 API 访问密钥"。
|
无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。
(年度计费可节省 2 个月 🎉)
访问美国劳动部国家儿童保育价格数据库（NDCP）的全面儿童保育费用数据。该API提供对覆盖所有美国县的超过48000条记录的程序访问。
每个端点返回详细的儿童护理成本数据，包括婴儿、幼儿、学前和学龄期护理的价格。数据按提供者类型分类，如中心型和家庭型，并包括地理细节，如县和州
响应中的关键字段包括“县”、“州”、“年份”以及具体的费用字段如“婴儿中心”、“幼儿中心”和“学前中心”这些字段提供了分析育儿成本的基本信息
该API提供按年龄组、提供商类型和地理位置划分的托儿费用信息 用户可以访问不同地区的费用并进行并排比较 以便进行全面分析
用户可以使用“州”或“邮政编码”等参数自定义对 GET /childcare/cost 端点的请求 GET /childcare/compare 端点允许用户指定多个州进行费用比较
响应数据采用JSON格式结构，包含成功指示、状态信息、记录数量和数据对象数组。每个对象包含特定县的详细成本信息，便于解析和分析
数据来自美国劳动部国家托儿费用数据库（NDCP）这确保了信息的可靠性并反映了覆盖所有美国县的综合数据集
典型的用例包括政策研究 生活成本计算器 迁移规划 人力资源福利分析 和房地产市场评估 这些数据帮助利益相关者根据托儿费用做出明智的决定
如果请求返回部分或空结果，用户应验证其输入参数的准确性。此外，考虑扩大搜索标准，例如使用更广泛的地理区域或不同的年龄组，以获取更全面的数据
