{
"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."
]
}
}
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'
{
"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."
]
}
}
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'
{
"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."
]
}
}
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'
{
"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)."
]
}
}
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'
{
"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."
]
}
}
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'
{
"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."
]
}
}
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'
{
"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."
]
}
}
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'
{
"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."
]
}
}
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'
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 | 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"。
|
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