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.

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

Historic lists of top 100 names for baby boys and girls for 1904 to 1994 at 10-yearly intervals.

Ranks and counts of baby names for boys and girls in England and Wales, 1996 to 2021.

Analysis of ‘NYC Most Popular Baby Names Over the Years’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/most-popular-baby-names-in-nyce on 13 February 2022.

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

About this dataset

Popular Baby Name Data In NYC from 2011-2014

Rows: 13962; Columns: 6

The data include items, such as:

• BRTH_YR: birth year the baby
• GNDR: gender
• ETHCTY: mother's ethnicity
• NM: baby's name
• CNT: count of the name
• RNK: ranking of the name

Source: NYC Open Data

https://data.cityofnewyork.us/Health/Most-Popular-Baby-Names-by-Sex-and-Mother-s-Ethnic/25th-nujf

This dataset was created by Data Society and contains around 10000 samples along with Nm, Rnk, technical information and other features such as: - Gndr - Ethcty - and more.

How to use this dataset

• Analyze Brth Yr in relation to Cnt
• Study the influence of Nm on Rnk
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Data Society

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

This dataset contains ranks and counts for the top 25 baby names by sex for live births that occurred in California (by occurrence) based on information entered on birth certificates.

United States Baby Names Count

United States Baby Names Dataset

By Amber Thomas [source]

About this dataset

The data is based on a complete sample of records on Social Security card applications as of March 2021 and is presented in three main files: baby-names-national.csv, baby-names-state.csv, and baby-names-territories.csv. These files contain detailed information about names given to babies at the national level (50 states and District of Columbia), state level (individual states), and territory level (including American Samoa, Guam, Northern Mariana Islands Puerto Rico and U.S. Virgin Islands) respectively.

Each entry in the dataset includes several key attributes such as state_abb or territory_code representing the abbreviation or code indicating the specific state or territory where the baby was born. The sex attribute denotes the gender of each baby – either male or female – while year represents the specific birth year when each baby was born.

Another important attribute is name which indicates given name selected for each individual newborn.The count attribute provides numerical data about how many babies received a particular name within a specific state/territory, gender combination for a given year.

It's also worth noting that all names included have at least two characters in length to ensure high data quality standards.

How to use the dataset

- Understanding the Columns

The dataset consists of multiple columns with specific information about each baby name entry. Here are the key columns in this dataset:

• state_abb: The abbreviation of the state or territory where the baby was born.
• sex: The gender of the baby.
• year: The year in which the baby was born.
• name: The given name of the baby.

• count: The number of babies with a specific name born in a certain state, gender, and year.

- Exploring National Data

To analyze national trends or overall popularity across all states and years: a) Focus on baby-names-national.csv. b) Use columns like name, sex, year, and count to study trends over time.

- Analyzing State-Level Data

To examine specific states' data: a) Utilize baby-names-state.csv file. b) Filter data by desired states using state_abb column values. c) Combine analysis with other relevant attributes like gender, year, etc., for detailed insights.

- Understanding Territory Data

For insights into United States territories (American Samoa, Guam, Northern Mariana Islands, Puerto Rico, U.S Virgin Islands): a) Access informative data from baby-names-territories.csv. b) Analyze based on similar principles as state-level data but considering unique territory factors.

- Gender-Specific Analysis

You can study names' popularity specifically among males or females by filtering the data using the sex column. This will allow you to explore gender-specific naming trends and preferences.

- Identifying Regional Patterns

To identify naming patterns in specific regions: a) Analyze state-level or territory-level data. b) Look for variations in name popularity across different states or territories.

- Analyzing Name Popularity over Time

Track the popularity of specific names over time using the name, year, and count columns. This can help uncover trends, fluctuations, and changes in names' usage and popularity.

- Comparing Names and Variations

Use this

Research Ideas

• Tracking Popularity Trends: This dataset can be used to analyze the popularity of baby names over time. By examining the count of babies with a specific name born in different years, trends and shifts in naming preferences can be identified.
• Gender Analysis: The dataset includes information on the gender of each baby. It can be used to study gender patterns and differences in naming choices. For example, it would be possible to compare the frequency and popularity of certain names among males and females.
• Regional Variations: With state abbreviations provided, it is possible to explore regional variations in baby naming trends within the United States. Researchers could examine how certain names are more popular or unique to specific states or territories, highlighting cultural or geographical factors that influence naming choices

Acknowledgements

If you use this dataset in your research, please credit the original a...

The most popular name for baby boys in England in 2022 was Noah which was the chosen name for 4,320 babies. Noah was also the second-most popular baby name in Wales in this year while Olivia wa s the most popular name for girls in England.

# National Data on the relative frequency of given names in the population of U.S. births where the individual has a Social Security Number

For each year of birth YYYY after 1879, we created a comma-delimited file called yobYYYY.txt. Each record in the individual annual files has the format "name,sex,number," where name is 2 to 15 characters, sex is M (male) or F (female) and "number" is the number of occurrences of the name. Each file is sorted first on sex and then on number of occurrences in descending order. When there is a tie on the number of occurrences, names are listed in alphabetical order. This sorting makes it easy to determine a name's rank. The first record for each sex has rank 1, the second record for each sex has rank 2, and so forth. To safeguard privacy, we restrict our list of names to those with at least 5 occurrences.

https://www.ssa.gov/oact/babynames/limits.html

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

New York State Baby Names are aggregated and displayed by the year, county, or borough where the mother resided as stated on a New York State or New York City (NYC) birth certificate. The frequency of the baby name is listed if there are 5 or more of the same baby name in a county outside of NYC or 10 or more of the same baby name in a NYC borough.

This dataset represents the top 350 male and female first names based on births registered in New Zealand since official records began in 1848

This is a public use data file on Delaware's most popular baby names for 2009 to 2016 obtained from the Delaware certificate of birth. The top 15 names for each gender are represented.

This dataset tracks the updates made on the dataset "Most Popular Baby Names" as a repository for previous versions of the data and metadata.

Finding the right name to give to your baby can be fun and challenging. NSW Registry of Birth, Deaths and Marriages have provided a list of popular names to help you find the one that's just right for you.

An annual list of the most popular baby names in NSW is based on the names registered in the previous calendar year. We have combined the annual lists from from 1952 to 2024 and made it available in excel.

This data package consists of 26 datasets all containing statistical data relating to the population and particular groups within it belonging to different countries, mostly the United States.

This dataset tracks the updates made on the dataset "Baby Names: Beginning 2007" as a repository for previous versions of the data and metadata.