The SINGLETARY surname in the USA

Frequency Comparisons
	Total	Rank	Frequency %	Per million people
United States
United States (Current snapshot)	12,979	2559	0.005	48
United States (1880 census)	1,437	3978	0.003	29
Change since 1880	+11542	+1419	+0.002	+19
Other Countries
Australia	2	237175	0	0
United Kingdom	23	28205	0	1

Top States for SINGLETARY by Total
State	Total	Rank in State	Frequency %	Per million people
South Carolina	1,924	331	0.048	480
Florida	1,800	1273	0.011	113
North Carolina	1,501	873	0.019	186
Georgia	1,261	952	0.015	154
Texas	922	2756	0.004	44
Top States for SINGLETARY by Frequency
State	Total	Rank in State	Frequency %	Per million people
South Carolina	1,924	331	0.048	480
Washington DC	108	644	0.019	189
North Carolina	1,501	873	0.019	186
Louisiana	743	987	0.017	166
Georgia	1,261	952	0.015	154

Notes

Total is the total number of people with that surname.
Rank is the position in the list of names ordered by total (eg, a rank of 1 means that it's the most common name, and a rank of 10 means it's the tenth most common, etc).
Frequency is the percentage of people with that surname.
Per million people is the number of people with that surname per million of the population.

'A figure of zero indicates that we don't have data for this name (usually because it's quite uncommon and our stats don't go down that far). It doesn't mean that there's no-one with that name at all!

For less common surnames, the figures get progressively less reliable the fewer holders of that name there are. This data is aggregated from several public lists, and some stats are interpolated from known values. The margin of error is well over 100% at the rarest end of the table!

For less common surnames, the frequency and "per million" values may be 0 even though there are people with that name. That's because they represent less than one in a million of the population, which ends up as 0 after rounding.

It's possible for a surname to gain in rank and/or total while being less common per million people (or vice versa) as there are now more surnames in the USA as a result of immigration. In mathematical terms, the tail has got longer, with a far larger number of less common surnames.

Figures for top states show firstly the states where most people called SINGLETARY live. This obviously tends to be biased towards the most populous states. The second set of figures show where people called SINGLETARY represent the biggest proportion of the population. So, in this case, there are more people called SINGLETARY in South Carolina than any other state, but you are more likely to find a SINGLETARY by picking someone at random in South Carolina than anywhere else.

Classification and Origin of SINGLETARY

Region of origin: British Isles

Country of origin: England

Language of origin: English

Ethnic origin: English

Religious origin: Christian

Data for religion and/or language relates to the culture in which the SINGLETARY surname originated. It does not necessarily have any correlation with the language spoken, or religion practised, by the majority of current American citizens with that name.

Data for ethnic origin relates to the region and country in which the SINGLETARY surname originated. It does not necessarily have any correlation with the ethnicity of the majority of current American citizens with that name.

Ethnic distribution of SINGLETARY in the USA

Classification	Total	Percent
Mixed Race	219	1.69
White (Hispanic)	171	1.32
Native American/Alaskan	42	0.32
Asian/Pacific	32	0.25
Black/African American	6,515	50.2
White (Caucasian)	5,998	46.21

Ethnic distribution data shows the number and percentage of people with the SINGLETARY surname who reported their ethnic background as being in these broad categories in the most recent national census.

Similar names to SINGLETARY

The following names have similar spellings or pronunciations as SINGLETARY.

This does not necessarily imply a direct relationship between the names, but may indicate names that could be mistaken for this one when written down or misheard.

Matches are generated automatically by a combination of Soundex, Metaphone and Levenshtein matching.