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

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.

This data set lists the sex and number of birth registrations for each first name, from 1900 onward. Years are grouped by the date of the birth registration, not by the date of birth. Some birth registrations are not included, such as registrations with a sex other than Male or Female (i.e. indeterminate or not recorded), or where the birth registration date is not recorded. These excluded records are so few their exclusion is unlikely to have any significant impact on the data. Where a name has less than 10 instances in a particular year, the name will not be included in the data for that year. Due to this, total volumes will be less than the total birth registrations in that year. As first and middle names are recorded in our system together, the first name has been split off from the middle names. Due to the size of the data set, this was done with an automated system, generally looking for the first space in the name. This means there may be names not correctly added. Also, certain symbols in names may not carry through to the data correctly. Please let us know using the contact email address if you find any errors in the data.

This dataset provides a count by year of first names given to babies born in Sonoma County. Current year data is updated monthly. In the 1800’s, the processes for birth registration were not as established as they are today. Births could have been registered in other places, such as churches, and not all births were reported. Given this, the number of births recorded early on may only represent a subset of the actual births that occurred during that time period. Blank names mean that the birth certificate did not have a name listed. There is no requirement that the baby's name be determined prior to the birth certificate being registered. Birth certificates can be amended through the state at a later date to add the first name, if the individual desires to do so.

The data (name, year of birth, sex, state, and number) are from a 100 percent sample of Social Security card applications starting with 1910. National data is in another dataset.

List of male and female baby names in South Australia from 1944 to 2024. The annual data for baby names is published January/February each year.

Names were tabulated using the exact spelling of the baby's first name on the birth certificate. Names from 19,896 birth certificates of births within the City of Austin during 2017 were used to create the data set.

Births that occurred by hospital name. Birth events of 5 or more per hospital location are displayed

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.

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 dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

This dataset offers the list of first names of children born in 2019 in the department of Haute-Garonne. This is the result filtered on the dataset produced by the Institut National de la Statistics et des Etudes Economiques (INSEE), federated by the [Data Hub] made available by Open Data Soft. To learn more about the constitution of these data: The file of first names is established by INSEE on the basis of the birth certificates of persons born in France (metropole and overseas departments outside Mayotte). As a result, completeness is not guaranteed over the entire period, especially for years prior to 1946. Users will therefore be able to see discrepancies with the annual number of births evaluated by INSEE. These discrepancies, which are significant at the beginning of the period, are narrowing. After 1946, they were insignificant. The information contained in the first names file is based on the civil status bulletins sent to INSEE by the civil registrars of the municipalities. These bulletins are themselves drawn up from the statements of the parents. INSEE cannot guarantee that the first names file is free from omissions or errors. The recast of the electoral process resulted in a larger number of corrections to the first names base than in previous years. Indeed, each elector is now registered in the single electoral directory with his official civil status (that of the National Identification Directory of Natural Persons/RNIPP), anomalies have therefore been co-directed. To understand For each given name, it is indicated for each year of birth (from 1900 to 2019), each department and sex, the number of persons registered under that first name. The persons taken into account The field covers all persons born in France outside of Mayotte and registered in civil status on birth certificates. Foreign-born persons are excluded. The field of forenames selected In the civil status files, in this case the birth certificates, the different first names are separated by a space (or white). Thus two forenames separated by a dash constitute a single compound name (example: Anne-Laure). The first single or compound name is at the beginning of the list, and it is the one that will be retained after the treatment of the protection of anonymity. Conditions for forenames selected

This dataset comprises a corpus of names, in both the first and middle position, for approximately 22 million individuals born in England and Wales between 1838 and 2014. This data is obtained from birth records made available by a set of volunteer-run genealogical resources - collectively, the 'UK local BMD project' (http://www.ukbmd.org.uk/local) - and has been re-purposed here to demonstrate the applicability of network analysis methods to an onomastic dataset. The ownership and licensing of the intellectual property constituting the original birth records is detailed at https://www.ukbmd.org.uk/TermsAndConditions. Under section 29A of the UK Copyright, Designs and Patents Act 1988, a copyright exception permits copies to be made of lawfully accessible material in order to conduct text and data mining for non-commercial research. The data included in this dataset represents the outcome of such a text-mining analysis. No birth records are included in this dataset, and nor is it possible for records to be reconstructed from the data presented herein. The data comprises an archive of tables, presenting this corpus in various forms: as a rank order of names (in both the first and middle position) by number of registered births per year, and by the total number of births across all years sampled. An overview of the data is also provided, with summary statistics such as the number of usable records registered per year, most popular names per year, and measures of forename diversity and the surname-to-forename usage ratio (an indicator of which forenames are more likely to be transferred uses of surnames). These tables are extensive but not exhaustive, and do not exclude the possibility that errors are present in the corpus. Data are also presented both as '.expression' files (an input format readable by the network analysis tool Graphia Professional) and as '.layout' files, a text file format output by Graphia Professional that describes the characteristics of the network so that it may be replicated. Characteristics of the original birth records that allow the identification of individuals - for instance, full name or location of birth - have been removed.

This dataset provides a count by year of first names given to babies born in Sonoma County

Queensland Top 100 Baby Names

The dataset contains the first names of the newborns of the city of Pré Saint-Gervais for the period 2018-2020. In the file, there are 688 first names. The structuring of the data is based on the name of the municipality where the children were born (in the majority of cases, the children were born outside the Pré Saint-Gervais because of the absence of maternity in the commune but at least one of the parents comes from the commune), the INSEE number, the sex, the child’s first name and the number of occurrences and the year of birth. These data are useful in order to analyse trends in the choice of first names and thus to understand the history of the city. The data are collected by the General Affairs Department of the commune of Pré Saint-Gervais from birth declarations. The file can be opened in csv format. To get in touch with the manager for this dataset, you can write to Benjamin Mittet-Brême, Director of General Administration, Civil State and Cemetery. Data-visualisation proposals: — Gender distribution of first names by year https://prenomspsg.trial.opendatasoft.com/chart/embed/repartition_des_sexes_des_prenoms_par_annee1/ — Gender distribution of first names over the period 2018-2020 https://prenomspsg.trial.opendatasoft.com/chart/embed/repartition_des_sexes_des_prenoms_sur_la_periode_2018-20201/ — Most used male given names per year (2018-2020) https://prenomspsg.trial.opendatasoft.com/chart/embed/prenoms_de_sexe_masculin_les_plus_utilises_par_annee_2018-2020/ — Most used female given names per year (2018-2020) https://prenomspsg.trial.opendatasoft.com/chart/embed/prenoms_de_sexe_feminin_les_plus_utilises_par_annee_2018-2020/ — The 10 most given names over the period 2018-2020 https://app.workbenchdata.com/workflows/132629/report Dataset published during the Challenge Data week organised by Sciences Po Saint-Germain-en-Laye from February 15 to 19, 2021.

The first names from births registered in Ontario from 1913 to 2023. Counts of fewer than 5 names were suppressed for privacy. ## Related Ontario top baby names (male)

The Scottish Birth Record is a web-based system developed on the NHSNet. It was introduced in 2002 as a replacement for SMR11. It provides the functionality to record all of a baby's neonatal care in Scotland, from antenatal through to post delivery, including readmissions and transfers in one electronic record. SBR is based on individuals and events rather than episodes and is completed for all births including stillbirths and home births. The system has been implemented to varying degrees (either directly or indirectly via interfaces with existing hospital systems) in all Scottish hospitals providing midwifery and/or neonatal care. A CHI number is generated soon after a baby is born in order to minimise the chances of a baby being lost on the database through a change of name after birth. The SBR collects a wide variety of information on the child from birth and during the baby's first year of life, with up to four hundred data items recorded for any one individual. This includes gestation, weight, congenital anomalies and discharge details. Identifiers such as name, date of birth, Community Health Index number and postcode are also included.

The first names file contains data on the first names attributed to children born in France since 1900. These data are available at the level of France and by department. The files available for download list births and not living people in a given year. They are available in two formats (DBASE and CSV). To use these large files, it is recommended to use a database manager or statistical software. The file at the national level can be opened from some spreadsheets. The file at the departmental level is however too large (3.8 million lines) to be consulted with a spreadsheet, so it is proposed in a lighter version with births since 2000 only. The data can be accessed in: - a national data file containing the first names attributed to children born in France between 1900 and 2022 (data before 2012 relate only to France outside Mayotte) and the numbers by sex associated with each first name; - a departmental data file containing the same information at the department of birth level; - a lighter data file that contains information at the department level of birth since the year 2000.

Series Name: Maternal mortality ratioSeries Code: SH_STA_MMRRelease Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.1.1: Maternal mortality ratioTarget 3.1: By 2030, reduce the global maternal mortality ratio to less than 70 per 100,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/