美国宝宝名字趋势 API

API ID 14592

美国婴儿名字趋势来自社会安全局数据:自1880年以来的排名、所有50个州、热门名单、上升的名字、变体

API 文档

端点

请求
对于每个性别,名称按以下顺序列出(最常见的在前):总计,列出的年份,首次和最后一次出现的年份,峰值年份(数量 排名 每百万),最佳排名 最新年份 和年度系列 每百万 = 每年该性别列出名称的每百万个名称 没有在数据中的名称将返回404并提供拼写建议
Endpoint ID: 37402
GET https://zylalabs.com/api/14592/us+baby+name+trends+api/37402/a+name+yearly+national+counts+and+ranks+since+1880
输入参数

自1880年以来的每年国家名称统计与排名 — 端点功能

对象 描述
sex 可选 F or M, as recorded by SSA. Leave out for both.
from 可选 First year of the series (default 1880).
to 可选 Last year of the series (default: the latest year).
name 必需

剩余免费测试请求:3 / 3。


输入参数

sex
from
to
API 示例响应
JSON
{
    "name": "Olivia",
    "sexes": [
        {
            "sex": "F",
            "totalCount": 567345,
            "yearsListed": 146,
            "firstYear": 1880,
            "lastYear": 2025,
            "peak": {
                "year": 2014,
                "count": 19840,
                "rank": 2,
                "perMillion": 11106.4
            },
            "bestRank": {
                "rank": 1,
                "year": 2019
            },
            "listedIn": "2025 (latest year)",
            "latest": {
                "year": 2025,
                "count": 13544,
                "rank": 1,
                "perMillion": 8426.7
            },
            "series": [
                {
                    "year": 2020,
                    "count": 17691,
                    "rank": 1,
                    "perMillion": 10943.7
                },
                {
                    "year": 2021,
                    "count": 17847,
                    "rank": 1,
                    "perMillion": 10876.6
                },
                {
                    "year": 2022,
                    "count": 16670,
                    "rank": 1,
                    "perMillion": 10163.8
                },
                {
                    "year": 2023,
                    "count": 15329,
                    "rank": 1,
                    "perMillion": 9553.3
                },
                {
                    "year": 2024,
                    "count": 14772,
                    "rank": 1,
                    "perMillion": 9117.4
                },
                {
                    "year": 2025,
                    "count": 13544,
                    "rank": 1,
                    "perMillion": 8426.7
                }
            ]
        }
    ],
    "seriesNote": "Yearly national counts 2020-2025; rank is the name's place that year among names of the same sex (ties alphabetical, as SSA ranks them); perMillion is per million listed names of that sex that year. Years not shown had fewer than 5.",
    "source": {
        "data": "US Social Security Administration baby names (national, state and territory files)",
        "coverage": {
            "national": "1880-2025",
            "states": "1910-2025",
            "territories": "1998-2025"
        },
        "dataVersion": "2025-2026-04-13",
        "license": "Public domain (CC0 1.0); SSA is credited as the source.",
        "notes": [
            "Counts are US Social Security card applications for babies born in that year (not birth certificates), as tabulated by SSA.",
            "Sex is the field recorded on the application by SSA (F or M).",
            "To protect privacy SSA leaves out any name with fewer than 5 occurrences in a year (nationally, or in a state or territory for state data), so a missing year means fewer than 5, not zero."
        ]
    }
}
自1880年以来的每年国家名称统计与排名 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14592/us+baby+name+trends+api/37402/a+name+yearly+national+counts+and+ranks+since+1880?sex=F&from=2020&name=Required' --header 'Authorization: Bearer YOUR_API_KEY' 


    
请求
每个性别:该年列出名称的每个州和地区(计数,该州的排名,每百万),该名称份额最高的州(在50个州和华盛顿特区中),以及其数量少于5的州。不含年份:该名称最新的州数据年份
Endpoint ID: 37403
GET https://zylalabs.com/api/14592/us+baby+name+trends+api/37403/a+name+count+and+rank+in+every+state+for+one+year
输入参数

每个州一年的姓名统计和排名 — 端点功能

对象 描述
year 可选 Year, 1910 or later (territories from 1998). Default: the latest year with state data for this name.
sex 可选 F or M, as recorded by SSA. Leave out for both.
name 必需

剩余免费测试请求:3 / 3。


输入参数

year
sex
API 示例响应
JSON
{
    "name": "Olivia",
    "sexes": [
        {
            "sex": "F",
            "year": 2025,
            "yearChosen": "given",
            "statesListed": 53,
            "mostPopularIn": {
                "state": "NH",
                "perMillion": 16855.4,
                "rank": 2,
                "note": "highest share among the 50 states and DC"
            },
            "states": [
                {
                    "state": "CA",
                    "count": 1796,
                    "rank": 1,
                    "perMillion": 11105.3
                },
                {
                    "state": "TX",
                    "count": 1580,
                    "rank": 2,
                    "perMillion": 9841.7
                },
                {
                    "state": "FL",
                    "count": 1020,
                    "rank": 1,
                    "perMillion": 11756.3
                },
                {
                    "state": "NY",
                    "count": 740,
                    "rank": 2,
                    "perMillion": 9447.3
                },
                {
                    "state": "IL",
                    "count": 501,
                    "rank": 1,
                    "perMillion": 11301.9
                }
            ],
            "underFiveOrNoData": []
        }
    ],
    "note": "rank is the name's place in that state and year among names of the same sex; perMillion is per million listed names of that sex in that state and year. States in underFiveOrNoData had fewer than 5 (SSA leaves those out). TR = American Samoa, Guam, Northern Mariana Islands and US Virgin Islands combined; territory data start in 1998.",
    "source": {
        "data": "US Social Security Administration baby names (national, state and territory files)",
        "coverage": {
            "national": "1880-2025",
            "states": "1910-2025",
            "territories": "1998-2025"
        },
        "dataVersion": "2025-2026-04-13",
        "license": "Public domain (CC0 1.0); SSA is credited as the source.",
        "notes": [
            "Counts are US Social Security card applications for babies born in that year (not birth certificates), as tabulated by SSA.",
            "Sex is the field recorded on the application by SSA (F or M).",
            "To protect privacy SSA leaves out any name with fewer than 5 occurrences in a year (nationally, or in a state or territory for state data), so a missing year means fewer than 5, not zero."
        ]
    }
}
每个州一年的姓名统计和排名 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14592/us+baby+name+trends+api/37403/a+name+count+and+rank+in+every+state+for+one+year?year=2025&sex=F&name=Required' --header 'Authorization: Bearer YOUR_API_KEY' 


    
请求
按数量排名,按字母顺序排列(SSA的规则)两个性别除非指定性别;每个列表还说明该年列出了多少个名字和婴儿。
Endpoint ID: 37404
GET https://zylalabs.com/api/14592/us+baby+name+trends+api/37404/the+top+names+for+a+year+nationally+or+in+one+state
输入参数

全国或某个州一年内的热门名字 — 端点功能

对象 描述
year 可选 Year (default: the latest).
sex 可选 F or M, as recorded by SSA. Leave out for both.
state 可选 Two-letter code: AK, AL, AR, AZ, CA, CO, CT, DC, DE, FL, GA, HI, IA, ID, IL, IN, KS, KY, LA, MA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NJ, NM, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, VT, WA, WI, WV, WY; PR (Puerto Rico) and TR (American Samoa, Guam, Northern Mariana Islands and US Virgin Islands combined). Leave out for the whole US.
limit 可选 How many names per sex, 1-1000 (default 10).

剩余免费测试请求:3 / 3。


输入参数

year
sex
state
limit
API 示例响应
JSON
{
    "year": 2025,
    "place": "US",
    "results": [
        {
            "sex": "F",
            "listedNames": 17297,
            "listedCount": 1607267,
            "names": [
                {
                    "rank": 1,
                    "name": "Olivia",
                    "count": 13544,
                    "perMillion": 8426.7
                },
                {
                    "rank": 2,
                    "name": "Charlotte",
                    "count": 13400,
                    "perMillion": 8337.1
                },
                {
                    "rank": 3,
                    "name": "Emma",
                    "count": 12754,
                    "perMillion": 7935.2
                },
                {
                    "rank": 4,
                    "name": "Amelia",
                    "count": 12699,
                    "perMillion": 7901
                },
                {
                    "rank": 5,
                    "name": "Sophia",
                    "count": 12561,
                    "perMillion": 7815.1
                }
            ]
        }
    ],
    "source": {
        "data": "US Social Security Administration baby names (national, state and territory files)",
        "coverage": {
            "national": "1880-2025",
            "states": "1910-2025",
            "territories": "1998-2025"
        },
        "dataVersion": "2025-2026-04-13",
        "license": "Public domain (CC0 1.0); SSA is credited as the source.",
        "notes": [
            "Counts are US Social Security card applications for babies born in that year (not birth certificates), as tabulated by SSA.",
            "Sex is the field recorded on the application by SSA (F or M).",
            "To protect privacy SSA leaves out any name with fewer than 5 occurrences in a year (nationally, or in a state or territory for state data), so a missing year means fewer than 5, not zero."
        ]
    }
}
全国或某个州一年内的热门名字 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14592/us+baby+name+trends+api/37404/the+top+names+for+a+year+nationally+or+in+one+state?year=2025&sex=F&limit=5' --header 'Authorization: Bearer YOUR_API_KEY' 


    
请求
升降榜:在两年内都有至少minCount的名称,按“按”排序:百分比(相对股份变化,默认)、股份(每百万变化)或排名(名次增加)。新入榜者:“到”中至少有minCount,但在“从”中较少(或不足5);退榜者则相反。全国范围或某一州。
Endpoint ID: 37405
GET https://zylalabs.com/api/14592/us+baby+name+trends+api/37405/biggest+risers+and+fallers+between+two+years
输入参数

两年之间最大涨幅和跌幅 — 端点功能

对象 描述
from 可选 Earlier year (default: one year before "to").
to 可选 Later year (default: the latest).
sex 可选 F or M, as recorded by SSA. Leave out for both.
state 可选 Two-letter state or territory code; leave out for the US.
minCount 可选 Minimum count in a year for a name to qualify, 5-100000 (default 100 nationally, 20 for a state).
limit 可选 Names per list, 1-100 (default 10).
by 可选 Sort order for risers and fallers.

剩余免费测试请求:3 / 3。


输入参数

from
to
sex
state
minCount
limit
by
API 示例响应
JSON
{
    "from": 2024,
    "to": 2025,
    "place": "US",
    "by": "percent",
    "minCount": 100,
    "method": "Risers and fallers: names with at least 100 in both 2024 and 2025, sorted by relative change in share (perMillion) between the two years. Newcomers: at least 100 in 2025 but fewer in 2024 (null = under 5, not listed). Dropouts: the reverse. change.rank is places gained (positive) or lost.",
    "results": [
        {
            "sex": "F",
            "risers": [
                {
                    "name": "Madisson",
                    "from": {
                        "year": 2024,
                        "count": 203,
                        "rank": 1182,
                        "perMillion": 125.3
                    },
                    "to": {
                        "year": 2025,
                        "count": 958,
                        "rank": 319,
                        "perMillion": 596
                    },
                    "change": {
                        "percent": 375.7,
                        "perMillion": 470.7,
                        "rank": 863
                    }
                },
                {
                    "name": "Rynlee",
                    "from": {
                        "year": 2024,
                        "count": 100,
                        "rank": 1977,
                        "perMillion": 61.7
                    },
                    "to": {
                        "year": 2025,
                        "count": 359,
                        "rank": 755,
                        "perMillion": 223.4
                    },
                    "change": {
                        "percent": 261.9,
                        "perMillion": 161.7,
                        "rank": 1222
                    }
                }
            ],
            "fallers": [
                {
                    "name": "Isis",
                    "from": {
                        "year": 2024,
                        "count": 230,
                        "rank": 1080,
                        "perMillion": 142
                    },
                    "to": {
                        "year": 2025,
                        "count": 128,
                        "rank": 1625,
                        "perMillion": 79.6
                    },
                    "change": {
                        "percent": -43.9,
                        "perMillion": -62.4,
                        "rank": -545
                    }
                },
                {
                    "name": "Mavie",
                    "from": {
                        "year": 2024,
                        "count": 236,
                        "rank": 1058,
                        "perMillion": 145.7
                    },
                    "to": {
                        "year": 2025,
                        "count": 136,
                        "rank": 1555,
                        "perMillion": 84.6
                    },
                    "change": {
                        "percent": -41.9,
                        "perMillion": -61.1,
                        "rank": -497
                    }
                }
            ],
            "newcomers": [
                {
                    "name": "Klarity",
                    "from": {
                        "year": 2024,
                        "count": 87,
                        "rank": 2187,
                        "perMillion": 53.7
                    },
                    "to": {
                        "year": 2025,
                        "count": 344,
                        "rank": 791,
                        "perMillion": 214
                    },
                    "change": {
                        "percent": 298.6,
                        "perMillion": 160.3,
                        "rank": 1396
                    }
                },
                {
                    "name": "Xamira",
                    "from": {
                        "year": 2024,
                        "count": 45,
                        "rank": 3510,
                        "perMillion": 27.8
                    },
                    "to": {
                        "year": 2025,
                        "count": 197,
                        "rank": 1182,
                        "perMillion": 122.6
                    },
                    "change": {
                        "percent": 341.3,
                        "perMillion": 94.8,
                        "rank": 2328
                    }
                }
            ],
            "dropouts": [
                {
                    "name": "Kristen",
                    "from": {
                        "year": 2024,
                        "count": 181,
                        "rank": 1283,
                        "perMillion": 111.7
                    },
                    "to": {
                        "year": 2025,
                        "count": 96,
                        "rank": 1999,
                        "perMillion": 59.7
                    },
                    "change": {
                        "percent": -46.5,
                        "perMillion": -52,
                        "rank": -716
                    }
                },
                {
                    "name": "Danae",
                    "from": {
                        "year": 2024,
                        "count": 170,
                        "rank": 1344,
                        "perMillion": 104.9
                    },
                    "to": {
                        "year": 2025,
                        "count": 74,
                        "rank": 2417,
                        "perMillion": 46
                    },
                    "change": {
                        "percent": -56.1,
                        "perMillion": -58.9,
                        "rank": -1073
                    }
                }
            ]
        }
    ],
    "source": {
        "data": "US Social Security Administration baby names (national, state and territory files)",
        "coverage": {
            "national": "1880-2025",
            "states": "1910-2025",
            "territories": "1998-2025"
        },
        "dataVersion": "2025-2026-04-13",
        "license": "Public domain (CC0 1.0); SSA is credited as the source.",
        "notes": [
            "Counts are US Social Security card applications for babies born in that year (not birth certificates), as tabulated by SSA.",
            "Sex is the field recorded on the application by SSA (F or M)."
        ]
    }
}
两年之间最大涨幅和跌幅 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14592/us+baby+name+trends+api/37405/biggest+risers+and+fallers+between+two+years?from=2024&to=2025&sex=F&limit=3&by=percent' --header 'Authorization: Bearer YOUR_API_KEY' 


    
请求
拼写变体:发音结构相同的同性名字(ph/f, c/k, z/s等折叠,去掉元音)在2-3个字母修改内(“Kaitlyn” → Katelyn, Caitlin, Kaitlin等)相似趋势:在同一时间出生人数增减的同性名字(自1880年以来的5年为单位,按其峰值进行缩放,并加上一个小项以表示峰值大小),省略拼写变体;适用于总出生人数至少为1000的名字。每个列表解释其方法
Endpoint ID: 37406
GET https://zylalabs.com/api/14592/us+baby+name+trends+api/37406/spelling+variants+and+names+with+a+similar+popularity+curve
输入参数

拼写变体和具有相似流行曲线的名称 — 端点功能

对象 描述
sex 可选 F or M, as recorded by SSA. Leave out for both.
limit 可选 Names per list, 1-50 (default 10).
name 必需

剩余免费测试请求:3 / 3。


输入参数

sex
limit
API 示例响应
JSON
{
    "name": "Olivia",
    "sex": "F",
    "sexChosen": "given",
    "spellingVariants": {
        "method": "Names of the same sex that sound alike when spelled out (same consonant skeleton after folding ph/f, c/k/q, c/s, z/s, x/ks, sh/ch and dropping vowels, y and h: \"Kaitlyn\", \"Caitlin\" and \"Katelynn\" all give \"ktln\") and are within 2 letter edits. Sorted by total national count.",
        "soundKey": "alv",
        "names": [
            {
                "name": "Olive",
                "edits": 2,
                "totalCount": 66926,
                "peakYear": 2022,
                "firstYear": 1880,
                "lastYear": 2025
            },
            {
                "name": "Alivia",
                "edits": 1,
                "totalCount": 34786,
                "peakYear": 2008,
                "firstYear": 1952,
                "lastYear": 2025
            },
            {
                "name": "Elvia",
                "edits": 2,
                "totalCount": 7680,
                "peakYear": 1991,
                "firstYear": 1888,
                "lastYear": 2025
            },
            {
                "name": "Alyvia",
                "edits": 2,
                "totalCount": 5839,
                "peakYear": 2013,
                "firstYear": 1990,
                "lastYear": 2025
            },
            {
                "name": "Olyvia",
                "edits": 1,
                "totalCount": 2670,
                "peakYear": 2009,
                "firstYear": 1982,
                "lastYear": 2025
            }
        ]
    },
    "similarTrend": {
        "method": "Names of the same sex whose popularity curve rose and fell at the same times: each name's share of births in 5-year buckets 1880-2025, scaled so its peak is 1, compared by root-mean-square difference, plus 0.1 x the difference in peak size (log10), so big names match big names. Spelling variants are left out. Lower score = closer. Computed only for names with at least 1,000 births in total.",
        "computed": true,
        "names": [
            {
                "name": "Zoe",
                "score": 0.1109,
                "totalCount": 163256,
                "peakYear": 2012,
                "firstYear": 1880,
                "lastYear": 2025
            },
            {
                "name": "Isabella",
                "score": 0.1166,
                "totalCount": 417001,
                "peakYear": 2010,
                "firstYear": 1880,
                "lastYear": 2025
            },
            {
                "name": "Mia",
                "score": 0.1207,
                "totalCount": 310219,
                "peakYear": 2015,
                "firstYear": 1933,
                "lastYear": 2025
            },
            {
                "name": "Chloe",
                "score": 0.1216,
                "totalCount": 254389,
                "peakYear": 2009,
                "firstYear": 1880,
                "lastYear": 2025
            },
            {
                "name": "Maya",
                "score": 0.1229,
                "totalCount": 123587,
                "peakYear": 2006,
                "firstYear": 1940,
                "lastYear": 2025
            }
        ]
    },
    "source": {
        "data": "US Social Security Administration baby names (national, state and territory files)",
        "coverage": {
            "national": "1880-2025",
            "states": "1910-2025",
            "territories": "1998-2025"
        },
        "dataVersion": "2025-2026-04-13",
        "license": "Public domain (CC0 1.0); SSA is credited as the source.",
        "notes": [
            "Counts are US Social Security card applications for babies born in that year (not birth certificates), as tabulated by SSA.",
            "Sex is the field recorded on the application by SSA (F or M).",
            "To protect privacy SSA leaves out any name with fewer than 5 occurrences in a year (nationally, or in a state or territory for state data), so a missing year means fewer than 5, not zero."
        ]
    }
}
拼写变体和具有相似流行曲线的名称 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14592/us+baby+name+trends+api/37406/spelling+variants+and+names+with+a+similar+popularity+curve?sex=F&limit=5&name=Required' --header 'Authorization: Bearer YOUR_API_KEY' 


    
请求
每个名字使用其更常见的性别,除非给出了性别。不在数据中的名字列在notFound中
Endpoint ID: 37407
GET https://zylalabs.com/api/14592/us+baby+name+trends+api/37407/yearly+series+for+up+to+5+names+side+by+side
输入参数

每年系列最多5个名字并排显示 — 端点功能

对象 描述
names 必需 Up to 5 names separated by commas.
sex 可选 F or M, as recorded by SSA. Leave out for both.
from 可选 First year (default 1880).
to 可选 Last year (default: the latest).

剩余免费测试请求:3 / 3。


输入参数

names
sex
from
to
API 示例响应
JSON
{
    "from": 2023,
    "to": 2025,
    "names": [
        {
            "name": "Olivia",
            "sex": "F",
            "totalCount": 567345,
            "yearsListed": 146,
            "firstYear": 1880,
            "lastYear": 2025,
            "peak": {
                "year": 2014,
                "count": 19840,
                "rank": 2,
                "perMillion": 11106.4
            },
            "bestRank": {
                "rank": 1,
                "year": 2019
            },
            "listedIn": "2025 (latest year)",
            "sexChosen": "given",
            "series": [
                {
                    "year": 2023,
                    "count": 15329,
                    "rank": 1,
                    "perMillion": 9553.3
                },
                {
                    "year": 2024,
                    "count": 14772,
                    "rank": 1,
                    "perMillion": 9117.4
                },
                {
                    "year": 2025,
                    "count": 13544,
                    "rank": 1,
                    "perMillion": 8426.7
                }
            ]
        },
        {
            "name": "Emma",
            "sex": "F",
            "totalCount": 776439,
            "yearsListed": 146,
            "firstYear": 1880,
            "lastYear": 2025,
            "peak": {
                "year": 2003,
                "count": 22719,
                "rank": 2,
                "perMillion": 12434.2
            },
            "bestRank": {
                "rank": 1,
                "year": 2008
            },
            "listedIn": "2025 (latest year)",
            "sexChosen": "given",
            "series": [
                {
                    "year": 2023,
                    "count": 13590,
                    "rank": 2,
                    "perMillion": 8469.5
                },
                {
                    "year": 2024,
                    "count": 13524,
                    "rank": 2,
                    "perMillion": 8347.2
                },
                {
                    "year": 2025,
                    "count": 12754,
                    "rank": 3,
                    "perMillion": 7935.2
                }
            ]
        },
        {
            "name": "Liam",
            "sex": "F",
            "totalCount": 549,
            "yearsListed": 26,
            "firstYear": 1995,
            "lastYear": 2025,
            "peak": {
                "year": 2017,
                "count": 38,
                "rank": 3960,
                "perMillion": 22
            },
            "bestRank": {
                "rank": 3960,
                "year": 2017
            },
            "listedIn": "2025 (latest year)",
            "sexChosen": "given",
            "series": [
                {
                    "year": 2023,
                    "count": 30,
                    "rank": 4617,
                    "perMillion": 18.7
                },
                {
                    "year": 2024,
                    "count": 36,
                    "rank": 4087,
                    "perMillion": 22.2
                },
                {
                    "year": 2025,
                    "count": 28,
                    "rank": 4829,
                    "perMillion": 17.4
                }
            ]
        }
    ],
    "notFound": [],
    "seriesNote": "Yearly national counts, ranks and perMillion (per million listed names of that sex). Years not shown had fewer than 5.",
    "source": {
        "data": "US Social Security Administration baby names (national, state and territory files)",
        "coverage": {
            "national": "1880-2025",
            "states": "1910-2025",
            "territories": "1998-2025"
        },
        "dataVersion": "2025-2026-04-13",
        "license": "Public domain (CC0 1.0); SSA is credited as the source.",
        "notes": [
            "Counts are US Social Security card applications for babies born in that year (not birth certificates), as tabulated by SSA.",
            "Sex is the field recorded on the application by SSA (F or M).",
            "To protect privacy SSA leaves out any name with fewer than 5 occurrences in a year (nationally, or in a state or territory for state data), so a missing year means fewer than 5, not zero."
        ]
    }
}
每年系列最多5个名字并排显示 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14592/us+baby+name+trends+api/37407/yearly+series+for+up+to+5+names+side+by+side?names=Olivia,Emma,Liam&sex=F&from=2023' --header 'Authorization: Bearer YOUR_API_KEY' 


    
请求
在所选十年中流行度达到顶峰的名字:每个名字的顶峰十年是指其性别所有列出生中占比最高的那个十年。按该十年的出生人数排序,包含每百万(当时的占比)、十年排名(按该十年出生人数在同类名字中的排名)、十年内最佳年度排名、尖锐度(当时的占比 / 第二好十年的占比;越高表示尖峰越明显)和自1880年以来的总出生人数。男女皆可,除非给定性别。最新的十年数据为部分数据
Endpoint ID: 37408
GET https://zylalabs.com/api/14592/us+baby+name+trends+api/37408/names+that+peaked+in+a+decade+1950s+names
输入参数

在1950年代流行的名字 — 端点功能

对象 描述
decade 必需 A decade from 1880 to the latest: 1950 or 1950s.
sex 可选 F or M, as recorded by SSA. Leave out for both.
limit 可选 How many names, 1-200 (default 25).
minBirths 可选 Only names with at least this many births in the decade (default 0).

剩余免费测试请求:3 / 3。


输入参数

decade
sex
limit
minBirths
API 示例响应
JSON
{
    "decade": 1950,
    "sex": "F",
    "count": 5,
    "names": [
        {
            "name": "Susan",
            "sex": "F",
            "births": 437774,
            "perMillion": 22760,
            "decadeRank": 4,
            "bestYearlyRank": {
                "rank": 2,
                "year": 1957
            },
            "sharpness": 1.45,
            "totalBirths": 1123481
        },
        {
            "name": "Deborah",
            "sex": "F",
            "births": 430537,
            "perMillion": 22383.7,
            "decadeRank": 5,
            "bestYearlyRank": {
                "rank": 2,
                "year": 1955
            },
            "sharpness": 2.23,
            "totalBirths": 742820
        },
        {
            "name": "Debra",
            "sex": "F",
            "births": 341348,
            "perMillion": 17746.8,
            "decadeRank": 7,
            "bestYearlyRank": {
                "rank": 2,
                "year": 1956
            },
            "sharpness": 2.11,
            "totalBirths": 550695
        },
        {
            "name": "Karen",
            "sex": "F",
            "births": 332531,
            "perMillion": 17288.4,
            "decadeRank": 8,
            "bestYearlyRank": {
                "rank": 4,
                "year": 1958
            },
            "sharpness": 1.1,
            "totalBirths": 987989
        },
        {
            "name": "Donna",
            "sex": "F",
            "births": 270338,
            "perMillion": 14054.9,
            "decadeRank": 10,
            "bestYearlyRank": {
                "rank": 5,
                "year": 1959
            },
            "sharpness": 1.2,
            "totalBirths": 831641
        }
    ],
    "method": "A name's peak decade is the one in which its share of all listed births of its sex was highest (ties: the earlier decade). births and perMillion are for 1950-1959; decadeRank is its rank among names of its sex by births in that decade; sharpness is its share then divided by its share in its next-best decade (1.0 = level with another decade; higher = a sharper peak, null = listed in one decade only).",
    "source": {
        "data": "US Social Security Administration baby names (national, state and territory files)",
        "coverage": {
            "national": "1880-2025",
            "states": "1910-2025",
            "territories": "1998-2025"
        },
        "dataVersion": "2025-2026-04-13",
        "license": "Public domain (CC0 1.0); SSA is credited as the source.",
        "notes": [
            "Counts are US Social Security card applications for babies born in that year (not birth certificates), as tabulated by SSA.",
            "Sex is the field recorded on the application by SSA (F or M).",
            "To protect privacy SSA leaves out any name with fewer than 5 occurrences in a year (nationally, or in a state or territory for state data), so a missing year means fewer than 5, not zero."
        ]
    }
}
在1950年代流行的名字 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14592/us+baby+name+trends+api/37408/names+that+peaked+in+a+decade+1950s+names?decade=1950s&sex=F&limit=5' --header 'Authorization: Bearer YOUR_API_KEY' 


    
请求
每年和性别的每个名字SSA列出的总和(listedBabies)和这个数字有多少(listedNames),适用于美国(默认)或一个州或地区,同时考虑五个以上的限制:给予少于5个婴儿的名字将被排除,因此这些数字少于所有出生。将它们作为分母:一个名字的数量 / listedBabies x 1,000 = 每千个列出的婴儿,可以在不同年份和地点之间进行比较
Endpoint ID: 37409
GET https://zylalabs.com/api/14592/us+baby+name+trends+api/37409/listed+babies+per+year+and+sex+nationally+or+by+state
输入参数

按年份和性别列出的全国或各州的婴儿人数 — 端点功能

对象 描述
state 可选 Two-letter code: AK, AL, AR, AZ, CA, CO, CT, DC, DE, FL, GA, HI, IA, ID, IL, IN, KS, KY, LA, MA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NJ, NM, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, VT, WA, WI, WV, WY; PR (Puerto Rico) and TR (American Samoa, Guam, Northern Mariana Islands and US Virgin Islands combined). Leave out for the whole US.
sex 可选 F or M, as recorded by SSA. Leave out for both.
from 可选 First year (default: the first year of that data).
to 可选 Last year (default: the latest).

剩余免费测试请求:3 / 3。


输入参数

state
sex
from
to
API 示例响应
JSON
{
    "place": "US",
    "sex": "F",
    "from": 2023,
    "to": 2025,
    "count": 3,
    "years": [
        {
            "year": 2023,
            "female": {
                "listedBabies": 1604582,
                "listedNames": 17615
            }
        },
        {
            "year": 2024,
            "female": {
                "listedBabies": 1620190,
                "listedNames": 17726
            }
        },
        {
            "year": 2025,
            "female": {
                "listedBabies": 1607267,
                "listedNames": 17297
            }
        }
    ],
    "notes": [
        "listedBabies is the sum of every name SSA lists for that year, sex and place. Names given to fewer than 5 babies (in that year, sex and place) are left out, so it is less than all births; state totals are smaller still, and the states do not add up to the national figure.",
        "To compare a name across years or places, use its count / listedBabies x 1,000 (per thousand listed babies) rather than raw counts.",
        "Counts are Social Security card applications for babies born that year (not birth certificates)."
    ],
    "source": {
        "data": "US Social Security Administration baby names (national, state and territory files)",
        "coverage": {
            "national": "1880-2025",
            "states": "1910-2025",
            "territories": "1998-2025"
        },
        "dataVersion": "2025-2026-04-13",
        "license": "Public domain (CC0 1.0); SSA is credited as the source.",
        "notes": [
            "Counts are US Social Security card applications for babies born in that year (not birth certificates), as tabulated by SSA.",
            "Sex is the field recorded on the application by SSA (F or M).",
            "To protect privacy SSA leaves out any name with fewer than 5 occurrences in a year (nationally, or in a state or territory for state data), so a missing year means fewer than 5, not zero."
        ]
    }
}
按年份和性别列出的全国或各州的婴儿人数 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/14592/us+baby+name+trends+api/37409/listed+babies+per+year+and+sex+nationally+or+by+state?sex=F&from=2023' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API 访问密钥和身份验证

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 美国宝宝名字趋势 API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。

标头
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。

起价
$10,000/年


  • 自定义数量
  • 自定义速率限制
  • 专业客户支持
  • 实时 API 监控

概览

美国婴儿名字趋势来自社会安全署的数据:自1880年以来的排名,所有50个州,热门名单,上升的名字,变体

美国宝宝名字趋势 API FAQs

每个端点返回与美国宝宝名字相关的各种数据,包括年度统计、排名、特定州的数据、热门名字、上升和下降的名字、拼写变体和历史趋势。例如,“获取名字年度全国统计”端点提供自1880年以来的名字总数、峰年和年度系列

关键字段包括“名称”、“性别”、“总数”、“列出年数”、“峰值”、“最佳排名”和“系列”。例如,“峰值”字段详细说明了一个名称的峰值年份、数量、排名和每百万的情况,而“系列”提供了年度数据

参数因端点而异,但通常包括“名称”、“年份”、“性别”和“地点”。例如,“获取某一年每个州的名称计数和排名”端点允许用户指定名称和年份以检索特定州的数据

响应数据以JSON格式结构化,具有层次组织。例如“获取一年的热门名字”端点返回一个按计数排名的名字列表,每个名字的详细信息嵌套在结果数组中

数据来源于社会安全局(SSA),该局根据美国的出生登记汇编婴儿名字统计信息。这确保了一个全面和权威的数据集

典型的用例包括分析命名趋势随时间的变化、按州识别流行名字,以及探讨名字的变体。例如用户可以追踪一个名字的受欢迎程度如何在几十年中变化,或比较具有相似趋势的名字

用户可以通过比较不同年份或州的计数和排名来分析趋势。例如,通过查看“系列”数据,用户可以直观地了解一个名字在时间上的受欢迎程度轨迹,从而帮助研究或命名决策

如果未找到名称,API将返回404状态和拼写建议 用户应检查拼写错误或尝试替代拼写 对于返回列表的端点,空结果表示指定参数没有数据,提示用户调整查询

一般常见问题

Zyla API Hub 就像一个大型 API 商店,您可以在一个地方找到数千个 API。我们还为所有 API 提供专门支持和实时监控。注册后,您可以选择要使用的 API。请记住,每个 API 都需要自己的订阅。但如果您订阅多个 API,您将为所有这些 API 使用相同的密钥,使事情变得更简单。
价格以 USD(美元)、EUR(欧元)、CAD(加元)、AUD(澳元)和 GBP(英镑)列出。我们接受所有主要的借记卡和信用卡。我们的支付系统使用最新的安全技术,由 Stripe 提供支持,Stripe 是世界上最可靠的支付公司之一。如果您在使用卡片付款时遇到任何问题,请通过 [email protected]

此外,如果您已经以这些货币中的任何一种(USD、EUR、CAD、AUD、GBP)拥有有效订阅,该货币将保留用于后续订阅。只要您没有任何有效订阅,您可以随时更改货币。
定价页面上显示的本地货币基于您 IP 地址的国家/地区,仅供参考。实际价格以 USD(美元)为单位。当您付款时,即使您在我们的网站上看到以本地货币显示的等值金额,您的卡片对账单上也会以美元显示费用。这意味着您不能直接使用本地货币付款。
有时,银行可能会因其欺诈保护设置而拒绝收费。我们建议您首先联系您的银行,检查他们是否阻止了我们的收费。此外,您可以访问账单门户并更改关联的卡片以进行付款。如果这些方法不起作用并且您需要进一步帮助,请通过 [email protected]
价格由月度或年度订阅决定,具体取决于所选计划。
API 调用根据成功请求从您的计划中扣除。每个计划都包含您每月可以进行的特定数量的调用。只有成功的调用(由状态 200 响应指示)才会计入您的总数。这确保失败或不完整的请求不会影响您的月度配额。
Zyla API Hub 采用月度订阅系统。您的计费周期将从您购买付费计划的那一天开始,并在下个月的同一日期续订。因此,如果您想避免未来的费用,请提前取消订阅。
要升级您当前的订阅计划,只需转到 API 的定价页面并选择您要升级到的计划。升级将立即生效,让您立即享受新计划的功能。请注意,您之前计划中的任何剩余调用都不会转移到新计划,因此在升级时请注意这一点。您将被收取新计划的全部金额。
要检查您本月剩余多少 API 调用,请参考响应标头中的 "X-Zyla-API-Calls-Monthly-Remaining" 字段。例如,如果您的计划允许每月 1,000 个请求,而您已使用 100 个,则响应标头中的此字段将显示 900 个剩余调用。
要查看您的计划允许的最大 API 请求数,请检查 "X-Zyla-RateLimit-Limit" 响应标头。例如,如果您的计划包括每月 1,000 个请求,此标头将显示 1,000。
"X-Zyla-RateLimit-Reset" 标头显示您的速率限制重置之前的秒数。这告诉您何时您的请求计数将重新开始。例如,如果它显示 3,600,则意味着还有 3,600 秒直到限制重置。
是的,您可以随时通过访问您的账户并在账单页面上选择取消选项来取消您的计划。请注意,升级、降级和取消会立即生效。此外,取消后,您将不再有权访问该服务,即使您的配额中还有剩余调用。
为了让您有机会在没有任何承诺的情况下体验我们的 API,我们提供 7 天免费试用,允许您免费进行最多 50 次 API 调用。此试用只能使用一次,因此我们建议将其应用于您最感兴趣的 API。虽然我们的大多数 API 都提供免费试用,但有些可能不提供。试用在 7 天后或您进行了 50 次请求后结束,以先发生者为准。如果您在试用期间达到 50 次请求限制,您需要"开始您的付费计划"以继续发出请求。您可以在个人资料中的订阅 -> 选择您订阅的 API -> 定价标签下找到"开始您的付费计划"按钮。或者,如果您在第 7 天之前不取消订阅,您的免费试用将结束,您的计划将自动计费,授予您访问计划中指定的所有 API 调用的权限。请记住这一点以避免不必要的费用。
7 天后,您将被收取试用期间订阅的计划的全额费用。因此,在试用期结束前取消很重要。因忘记及时取消而提出的退款请求不被接受。
当您订阅 API 免费试用时,您可以进行最多 50 次 API 调用。如果您希望超出此限制进行额外的 API 调用,API 将提示您执行"开始您的付费计划"。您可以在个人资料中的订阅 -> 选择您订阅的 API -> 定价标签下找到"开始您的付费计划"按钮。
付款订单在每月 20 日至 30 日之间处理。如果您在 20 日之前提交请求,您的付款将在此时间范围内处理。
您可以通过我们的聊天渠道联系我们以获得即时帮助。我们始终在线,时间为上午 8 点至下午 5 点(EST)。如果您在该时间之后联系我们,我们将尽快回复您。此外,您可以通过 [email protected]

相关 API