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 authors. > Data Source > >

License

> > > License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication > No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: baby-names-state.csv

File: baby-names-territories.csv

File: baby-names-national.csv

Acknowledgements

> If you use this dataset in your research, please credit the original authors. > If you use this dataset in your research, please credit Amber Thomas.