{
"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'
Após se cadastrar, cada desenvolvedor recebe uma chave de acesso à API pessoal, uma combinação única de letras e dígitos para acessar nosso endpoint de API. Para autenticar com a Tendências de Nomes de Bebês nos EUA API basta incluir seu token Bearer no cabeçalho Authorization.
| Cabeçalho | Descrição |
|---|---|
Authorization
|
Obrigatório
Deve ser Bearer access_key. Veja "Sua chave de acesso à API" acima quando você estiver inscrito.
|
Sem compromisso de longo prazo. Faça upgrade, downgrade ou cancele a qualquer momento.
Tendências de nomes de bebês nos EUA a partir dos dados da SSA: rankings desde 1880, todos os 50 estados, listas principais, aumentos, variantes
Cada ponto de extremidade retorna vários dados relacionados aos nomes de bebês nos EUA, incluindo contagens anuais, classificações, dados específicos de estados, nomes mais populares, nomes em ascensão e queda, variantes de ortografia e tendências históricas. Por exemplo, o ponto de extremidade "GET A name yearly national counts" fornece contagens totais, anos de pico e séries anuais para nomes desde 1880
Os campos principais incluem "nome", "sexo", "contagemTotal", "anosListados", "pico", "melhorClassificação" e "séries". Por exemplo, o campo "pico" detalha o ano do pico, contagem, classificação e por milhão para um nome, enquanto "séries" fornece dados anuais
Os parâmetros variam de acordo com o endpoint, mas geralmente incluem "nome", "ano", "sexo" e "local". Por exemplo, o endpoint "GET A name count and rank in every state for one year" permite que os usuários especifiquem um nome e um ano para recuperar dados específicos do estado
Os dados de resposta estão estruturados no formato JSON, com organização hierárquica. Por exemplo, o endpoint "GET Os nomes mais populares para um ano" retorna uma lista de nomes classificados por contagem, com os detalhes de cada nome aninhados dentro do array de resultados
Os dados são oriundos da Administração da Previdência Social (SSA), que compila estatísticas de nomes de bebês com base em registros de nascimento nos Estados Unidos. Isso garante um conjunto de dados abrangente e autoritário
Casos de uso típicos incluem analisar tendências de nomes ao longo do tempo identificar nomes populares por estado e explorar variações de nomes Por exemplo usuários podem acompanhar como a popularidade de um nome mudou ao longo das décadas ou comparar nomes com tendências semelhantes
Os usuários podem analisar tendências comparando contagens e classificações ao longo dos anos ou estados Por exemplo ao examinar os dados de "série" os usuários podem visualizar a trajetória de popularidade de um nome ao longo do tempo ajudando na pesquisa ou na tomada de decisões para nomes
Se um nome não for encontrado, a API retorna um status 404 com sugestões de ortografia Os usuários devem verificar erros de digitação ou tentar grafias alternativas Para endpoints que retornam listas, resultados vazios indicam que não há dados para os parâmetros especificados, levando os usuários a ajustar suas consultas