Chinese Name Database 1930-2008
A database of Chinese surnames and Chinese given names (1930-2008). This database contains nationwide frequency statistics of 1,806 Chinese surnames and 2,614 Chinese characters used in given names, covering about 1.2 billion Han Chinese population (96.8% of the Han Chinese household-registered population born from 1930 to 2008 and still alive in 2008). This package also contains a function for computing multiple features of Chinese surnames and Chinese given names for scientific research (e.g., name uniqueness, name gender, name valence, and name warmth/competence).
## Method 1: Install from CRAN install.packages("ChineseNames") ## Method 2: Install from GitHub install.packages("devtools") devtools::install_github("psychbruce/ChineseNames")
This Chinese name database was provided by Beijing Meiming Science and Technology Company (in collaboration) and originally obtained from the National Citizen Identity Information Center (NCIIC) of China in 2008.
It contains nationwide frequency statistics of almost all Chinese surnames and given-name characters, which have covered about 1.2 billion Han Chinese population (96.8% of the Han Chinese population born from 1930 to 2008 and still alive in 2008, i.e., the living household-registered population). It also contains subjective rating indices of given-name characters. To our knowledge, this is the most comprehensive and accurate Chinese name database up to now.
Note that this database does not contain any individual-level information (so it does not leak personal privacy). All data are at the name level or character level. Extremely rare characters are not included.
This package includes five datasets (
data.frame in R). You can access them using the
data() function in R. The use of these datasets should follow the GNU GPL-3 License and the Creative Commons License CC BY-NC-SA, with a proper citation of this package and only for non-commercial purposes.
familyname: 1,806 Chinese surnames with their frequencies in the Han Chinese population.
givenname: 2,614 Chinese characters in given names with their frequencies in the Han Chinese population.
top1000name.prov: Top 1,000 given names in 31 Chinese mainland provinces.
top100name.year: Top 100 given names in 6 birth cohorts.
top50char.year: Top 50 given-name characters for 6 birth cohorts.
Note. The "ppm" in the variable names of these datasets means "parts per million (百万分率)" (e.g., 1 ppm = a proportion of 1/106).
compute_name_index() function. This function computes multiple indices of Chinese surnames and given names for scientific research. Just input a data frame with full names (and birth years, if necessary), then it returns a new data frame with all name indices appended.
library(ChineseNames) ?compute_name_index # see detailed usage in help page ## Usage 1 compute_name_index(name="包寒吴霜", birth=1995) ## Usage 2 demodata=data.frame( name=c("包寒吴霜", "陈俊霖", "张伟", "张炜", "欧阳修", "欧阳", "易烊千玺", "张艺谋", "王的"), birth=c(1995, 1995, 1985, 1988, 1968, 2009, 2000, 1950, 2005)) newdata=compute_name_index( demodata, var.fullname="name", # full name var.birthyear="birth") # adjusted for birth year View(newdata)
# name birth name0 name1 name2 name3 NLen SNU SNI NU CCU NG NV NW NC # 1: 包寒吴霜 1995 包 寒 吴 霜 4 3.0595 2 3.6042 4.1178 -0.2187 3.3542 2.6667 3.2333 # 2: 陈俊霖 1995 陈 俊 霖 3 1.3415 3 2.4619 4.7688 0.4081 4.3125 3.6500 3.6500 # 3: 张伟 1985 张 伟 2 1.1529 26 1.6611 3.8865 0.6859 4.2500 3.5000 3.4000 # 4: 张炜 1988 张 炜 2 1.1529 26 3.0547 5.8583 0.6025 3.9375 3.4000 3.5000 # 5: 欧阳修 1968 欧阳 修 3 3.1645 15 2.9816 3.5510 0.5047 3.0625 3.5000 3.3000 # 6: 欧阳 2009 欧 阳 2 2.9694 15 2.0389 3.4574 0.5103 4.3750 4.1000 3.7000 # 7: 易烊千玺 2000 易 烊 千 玺 4 2.8689 25 3.8743 4.8944 0.4619 3.1875 3.2000 3.1667 # 8: 张艺谋 1950 张 艺 谋 3 1.1529 26 3.8808 3.6611 0.3183 3.5938 3.5500 3.3500 # 9: 王的 2005 王 的 2 1.1257 23 5.1893 1.3110 -0.5325 2.1250 2.5000 2.2000
NLen: full-name length
A Chinese surname usually consists of one character (i.e., single surname, 单姓) and sometimes consists of two characters (i.e., compound surname, 复姓).
A Chinese given name can be any single character or any combination of two characters (rarely of three characters, like the author's given name "Han-Wu-Shuang").
SNU: surname uniqueness
SNU = –log10(Psurname + 10–6)
SNI: surname initial (alphabetical order)
NU: name-character uniqueness (in naming practices)
NU = –log10(Pcharacter + 10–6)
compute_name_index()function returns NU based on the average percentage across all six birth cohorts.
CCU: character-corpus uniqueness (in contemporary Chinese corpus)
CCU = –log10(Pcharacter + 10–6)
NG: name gender (difference in proportions of a character used by male vs. female)
NG = (Nmale – Nfemale) / (Nmale + Nfemale)
NV: name valence (positivity of character meaning)
NW: name warmth/morality
NC: name competence/assertiveness
* Instruction for the rating task of NW and NC (adapted from Newman et al., 2018):
According to psychological research, when people form impressions of others, they usually evaluate them in two aspects: warmth and competence.
- "Warmth" (温暖) includes traits such as warm (热情), friendly (友好), righteous (正直), honest (诚实), kind (和善), fair (公平), sincere (真诚), reliable (可靠), and moral (有道德).
- "Competence" (能力) includes traits such as competent (能干), clever (聪明), careful (细心), efficient (高效), creative (创新), ingenious (灵巧), knowledgeable (博学), persistent (坚韧), and intelligent (有智慧).
Imagine that you are about to meet a person whose given name contains each of the following characters. Please judge how likely he/she is to have traits related to "warmth" ("competence"). If you feel uncertain, please use your intuition and make your best guess.
For a Chinese given name with multiple characters, name indices are averaged across characters. In other words, name indices are computed based on characters rather than character combinations. Here are main reasons.
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