There is a pretty massive list of given (first) names (~50,000), and it's carefully curated (not machine generated).
More details are available on another answer:
The best source of international human given (first) names comes from a German computer magazine. The text file has nearly 50k names that are classified by likely gender, and how popular in each ...
For the United States, the Census Bureau has lists of surnames from 1990 and 2000 censuses here. The US Census list for 2010 was, for a time, available on census.socrata.com but that site is no longer running. (You may be able to find it with this Wayback Machine link.) The Social Security Administration provides downloadable lists of first names by gender, ...
The best source of international human given (first) names comes from a German computer magazine. The text file has nearly 50k names that are classified by likely gender, and how popular in each country. It's carefully curated and has a friendly license (GNU Free Documentation License 1.2).
The file can be downloaded here : ftp://ftp.heise.de/pub/ct/...
Finally, Wikipedia and its sometimes tragical affection to compiling lists on everything and anything becomes handy:
List of most common surnames in Asia#Japan (Wikipedia). Every continent and major country seems to contain a pretty extensive list, sometimes even with estimates on number of occurrences.
Category:given names by culture looks pretty ...
I'm going to expand on the comment of @Joe above because there isn't room to add too much in the comments.
IMDB offers textfile datasets with enormous amounts of data (details). Choosing one site at random, you see a list of the files (link). Choose biographies.list.gz and uncompress. The biographies.list file has sections incuding:
NM: 'K', Murray the
There's a sample generation project on GEDIS Studio (online generation tool) named "Personal Data" allowing to generate those data. You can register a free account from www.data-generator.com.
Provided fields for each record : Country Code, UID, Family headcount, gender, first name, last name, birth date, age, majority (yes/no), marital status, address, ...
You'll have to go agency by agency. Dog licensing is a local government function. Some cities with open data have released license data, here's an example for NYC.
If they don't have it online already, most animal control departments should be able to provide their data with either a phone call or (if necessary) a FOIA request, although it may not ...
Wikipedia has a list of lists of people, from that you can focus on the specific lists that are of interest to you.
They also have a very functional API for collecting data, see here for details. For your lists of interest you can collect whatever data you like for individual "famous people."
An exhaustive list of non-Japanese names would be an unwieldy thing! @ojdo's answer seems like a great start for the positive matches. For the United States, the best source for last names is probably the US Census Bureau, who, from their genealogy section, have a few kinds of name data:
2010 and 2000: Excel file of 1000 most common surnames and ZIP with ...
I can't find the full data set, but here is a bit on the most common names in Denmark.
Pigenavne = Female first names.
Drengenavne = Male first names.
Efternavne = Surnames.
First first name and last surname is included. All middle names are omitted.
Surnames consisting of two hyphenated names are treated as one name.
There was an API, babynamemap, but as you can see it now redirects to the projects source on github and hasn't been maintained for two years GitHub page where the project's source used to be. Aside from that I suppose you could always scrape Wikipedia's pages. As far as the phone book idea goes it looks like there is an API for the White Pages, not sure if ...
Looks like there was a research project called Pantheon that compiled such a dataset, which is available here: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/28201
Sort/filter by PageViewsEnglish if you want names particularly recognizable to English speakers. Among other things, it seems like a good source if you want to populate ...
Freebase - Freebase is a large source of useful, structured data around lot of different categories. When you search for person in google, the result on left side is shown by Google's knowledge graph which is powered by Freebase.
For people search you can checkout, - http://www.freebase.com/people
You can get such information from Wikidata (as mentioned by @sn3fru) with the Wikidata Query Service at https://query.wikidata.org and a formulation of a SPARQL query.
Here is a SPARQL query for number of citizens recorded with given name grouped wrt. country:
SELECT ?name ?nameLabel ?country ?countryLabel ?count
SELECT ?name ?country (count(?...
For the USA, the Social Security Administration has statistics going back to 1880.
The whole national data is downloadable in a ZIP file available for download at http://www.ssa.gov/OACT/babynames/limits.html
Direct link: http://www.ssa.gov/OACT/babynames/names.zip
For the purpose of generating a sample customer database, the Fake Name Generator can generate random personal details.
They have name sets from many different countries and can also generate other fake details (such as e-mail or phone number) based on a selected country (i.e. all phone numbers will have the correct length and country code).
On the order ...
The Facebook Graph-API contains some functionality that you can piece together to do what you asked.
Step 1: Use the User-Friends endpoint to get a list of user-ids. You can use your own user-id as a starting point.
Step 2: Use the User endpoint to get the following information of public profiles:
Provides access to a subset of items that are part of a ...
The Dutch Central Bureau for Genealogy has an interface where you can type a family name and it will show the geographical distribution of that name throughout the Netherlands. You can also enter a single letter and search for names containing that letter, so with some scraping you should be able to get quite a bit of data. You can find the search interface ...
Wikipedia let you download the data conveniently, without API limits, so you can get the titles of their 4M+ English articles. Depending on your needs, you can try other languages as well. See
In particular, file *-all-titles-in-ns0.gz.
Alexa One Top Million Websites
These are domain names, though not ...
Although the entity set is more restricted than you are looking for, the following might be useful:
The data is referenced in the following paper by Ashwini and Choi, which discusses and evaluates the general approach: http://arxiv.org/abs/1408.0782