{
"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'
Después de registrarte, a cada desarrollador se le asigna una clave de acceso a la API personal, una combinación única de letras y dígitos proporcionada para acceder a nuestro endpoint de la API. Para autenticarte con el Tendencias de nombres de bebés en EE. UU. API simplemente incluye tu token de portador en el encabezado de Autorización.
| Encabezado | Descripción |
|---|---|
Autorización
|
Requerido
Debería ser Bearer access_key. Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito.
|
Sin compromiso a largo plazo. Mejora, reduce o cancela en cualquier momento.
Cada punto final devuelve varios datos relacionados con los nombres de bebés en EE. UU., incluidos conteos anuales, rangos, datos específicos por estado, nombres más populares, nombres en aumento y en descenso, variantes de ortografía y tendencias históricas. Por ejemplo, el punto final "GET A name yearly national counts" proporciona conteos totales, años de máximo y series anuales para nombres desde 1880
Los campos clave incluyen "nombre" "sexo" "totalCount" "añosListados" "pico" "mejorRango" y "serie" Por ejemplo el campo "pico" detalla el año pico el conteo el rango y por millón para un nombre mientras que "serie" proporciona datos anuales
Los parámetros varían según el punto final, pero generalmente incluyen "nombre", "año", "sexo" y "lugar". Por ejemplo, el punto final "GET A name count and rank in every state for one year" permite a los usuarios especificar un nombre y un año para recuperar datos específicos del estado
Los datos de respuesta están estructurados en formato JSON con organización jerárquica Por ejemplo el endpoint "GET Los nombres principales para un año" devuelve una lista de nombres clasificados por cantidad con los detalles de cada nombre anidados dentro del array de resultados
Los datos provienen de la Administración del Seguro Social (SSA), que compila estadísticas de nombres de bebés basadas en registros de nacimientos en los Estados Unidos. Esto asegura un conjunto de datos integral y autoritativo
Los casos de uso típicos incluyen analizar tendencias de nombres a lo largo del tiempo identificar nombres populares por estado y explorar variaciones de nombres Por ejemplo los usuarios pueden rastrear cómo ha cambiado la popularidad de un nombre a lo largo de las décadas o comparar nombres con tendencias similares
Los usuarios pueden analizar tendencias comparando conteos y rangos a lo largo de los años o estados Por ejemplo al examinar los datos de "series" los usuarios pueden visualizar la trayectoria de popularidad de un nombre a lo largo del tiempo lo que ayuda en la investigación o en la toma de decisiones para nombrar
Si no se encuentra un nombre, la API devuelve un estado 404 con sugerencias de ortografía Los usuarios deben verificar errores tipográficos o intentar ortografías alternativas Para los puntos finales que devuelven listas, los resultados vacíos indican que no hay datos para los parámetros especificados, lo que lleva a los usuarios a ajustar sus consultas