Popular Baby Names by Sex and Ethnic Group Data were collected through civil birth registration. Each record represents the ranking of a baby name in the order of frequency. Data can be used to represent the popularity of a name. Caution should be used when assessing the rank of a baby name if the frequency count is close to 10; the ranking may vary year to year.

As part of the birth statistics, the most popular first names are determined annually. The dataset includes the available reporting years from 2010. Phonetically identical first names were summarized. Improved phonetic groupings may slightly change previous year's data. First names that occur less than 5 times per grouping are not listed in the table.

The 100 most frequently chosen first names among children born in the previous year

Description

This dataset contains counts and rankings of the most common first names in the United States, sourced from comprehensive name census data. It is ideal for analyzing naming trends, demographic patterns, and cultural preferences, as well as for building statistical models to explore name popularity over time.

Dataset structure

male_first_names.csv: Male first name frequencies and rankings in the U.S.

female_first_names.csv: Female first name frequencies and rankings in the U.S.

This statistic shows the most frequent combinations of first name and last name in the United States, as of 2013. According to this ranking, the name "James Smith" occurs most often and is most popular in the United States.

Visualization of first name statistics of Statistik Austria. As part of the application, two or more male or female first names can be selected and compared with each other. It shows a line chart with the number of children to whom the selected names were assigned between 1984 and 2022, as well as an Austria map in which the districts are colored according to the popularity of the names.

Count of popularity of adult first names (forenames, given names) in Peru, from an approximately 7% sample of the adult population.

In Peru, many people are registered as supporters of political parties, and their names are published by the Registro de Organizaciones Políticas. The lists include a DNI (national identity number) for each person to avoid duplicates. The 1,572,002 people on these lists (excluding the regional movements) represent around 7% of the adult population of Peru.

The first and middle names have been sorted and counted (there are an average of 1.6 first names for each person).

These 2,538,011 first (and middle) names represent 76,720 different names, most of which are infrequent. The file has been limited to names that occur ten or more times in the sample, which is 7,250 unique names (2,417,750 names, more than 95% of the total).

Each row in the file contains the rank, a percentage of that name in the entire set of 2,538,011 names, a count of the times the name occurs in the sample, and the name.

Rank and count of the top names for baby girls, changes in rank since the previous year and breakdown by country, region, mother's age and month of birth.

The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

The data (name, year of birth, sex, and number) are from a 100 percent sample of Social Security card applications for 1880 on.

Popular Baby Names by Sex and Ethnic Group Data were collected through civil birth registration. Each record represents the ranking of a baby name in the order of frequency. Data can be used to represent the popularity of a name. Caution should be used when assessing the rank of a baby name if the frequency count is close to 10; the ranking may vary year to year.

With 603 name registrations, Astrid was the most popular name given to newborn girls in Sweden in 2022. Maja, Alma, and Vera were other popular names during this year. As for newborn boys, William was the most popular name in 2022.

Financial overview and grant giving statistics of Hello My Name is King Inc.

About this dataset

This dataset contains US baby names from the Social Security Administration dating back to 1879. With over 150 years of data, this is one of the most comprehensive datasets on baby names in the US. The data includes the name, year of birth, sex, and number of babies with that name for each year. This dataset is a great resource for anyone interested in studying baby naming trends over time

How to use the dataset

How to use the US Baby Names by Year of Birth dataset:

This dataset is a compilation of over 140 years of data from the Social Security Administration. It includes data on baby names, year of birth, and sex. There are also columns for the number of babies with that name born in that year.

This dataset can be used to track changes in baby naming trends over time, or to study how popular names have changed in popularity. It can also be used to study how naming trends differ between sexes, or between different years

Research Ideas

This dataset could be used for a number of things, including: 1. Determining baby name trends over time 2. Finding out what the most popular baby names are in the US 3. Analyzing how baby name popularity has changed over the years

Columns

• index: the index of the dataframe
• YearOfBirth: the year in which the baby was born
• Name: the name of the baby
• Sex: the sex of the baby
• Number: the number of babies with that name and sex

Acknowledgements

If you use this dataset in your research, please credit @nickgott, @rflprr and the Social Security Administration via Data.gov

Data Source

The data set contains the distribution of first names for newborns of 2015.

Analysis of ‘First name statistics for newborns in Moers 2020 ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/527d7456-db9a-482f-984c-43a0eb3eb700 on 12 January 2022.

--- Dataset description provided by original source is as follows ---

The dataset contains the forenames given in 2020 for boys and girls. A new dataset is created each year for this domain.

--- Original source retains full ownership of the source dataset ---

This statistic illustrates the most popular newborn male names given in the Netherlands in 2022. It shows that roughly *** Dutch babies were named Noah, making it the most popular Dutch first name given to boys in 2022.

This statistic shows the most common last names in Italy in 2016. According to this ranking, the surname "Rossi" is most common in Italy, counting around ****** people.

This horizontal bar chart displays population (people) by country full name using the aggregation sum. The data is about countries.

Analysis of ‘First name statistics for newborns in Moers 2018 ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/94fe44a0-405e-4788-bdcf-69185e4eb5fc on 16 January 2022.

--- Dataset description provided by original source is as follows ---

The dataset contains the forenames given in 2018 for boys and girls. A new dataset is created each year for this domain.

--- Original source retains full ownership of the source dataset ---