Denver

girls:

3.5k births since 1913

#2901 (49th percentile)

boys:

18k births since 1880

#858 (81st percentile)

overall:

21.5k births since 1880

#1739 (78th percentile)

Popularity Trends

The name Denver is the #1,739 most popular name of all time in the U.S. on a gender-neutral basis, with a total of 21,500 recorded births since 1880. This represents the 77.5% percentile of name popularity (more popular than 77.5% of all names). For boys, it ranks #858 (81.3% percentile) for all time with 17,953 births since 1880. For girls, it ranks #2,901 (49.2% percentile) for all time with 3,547 births since 1913.

Denver has appeared in U.S. birth records since the beginning of our dataset in 1880 (since 1880 for boys and since 1913 for girls). Birth data for Denver is available in 133 out of the 144 years between 1880 and 2023 (133 years for boys and 58 years for girls). The Social Security Administration only reports birth data for years in which the name was given to at least five children of the same gender.

The name Denver has been given predominantly to boys, with 83.5% of all recorded births being male. In 2023, 61.8% of babies named Denver were boys.

For boys, Denver reached its peak popularity in 2022, achieving the 53.7% percentile (ranked #428) with 344 births per million. The name was most common in 2022, with 344 births per million (ranked 53.7% percentile). Since reaching a low point around 2010, the popularity of this name for boys has been increasing. Currently, Denver ranks #454 for boys (50.2% percentile) with 318 births per million, which is 92.6% of its peak share of births.

For girls, Denver reached its peak popularity in 2021, achieving the 36.4% percentile (ranked #596) with 204 births per million. The name was most common in 2023, with 206 births per million (ranked 35.4% percentile). Since reaching a low point around 2005, the popularity of this name for girls has been increasing. Currently, Denver is at or near its peak popularity for girls, ranked #612 (35.4% percentile) with 206 births per million.

This chart shows the total number of births per million babies in each year for the name "Denver".

1880 2023 18802023

Key Statistics

Total Births
3,547
Peak Births
365
Peak Year
2021
First Recorded
1913
Peak Percentile
36.4%
Current Percentile
35.4%
Peak Rank
#596
Current Rank
#612
Female statistics
Total Births
17,953
Peak Births
644
Peak Year
2022
First Recorded
1880
Peak Percentile
53.7%
Current Percentile
50.2%
Peak Rank
#428
Current Rank
#454
Male statistics

How to Pronounce Denver

Our model found one way to pronounce the name Denver. Click the play button under each pronunciation to hear it spoken aloud.

Our model is 100.0% confident that Denver is pronounced as DEHN-ver, which has 2 syllables.

2
100.0%
DEHN-ver (2 syllables)
Verified
100.0% confidence
D EH1 N V ER0

Possible Additional Pronunciations

If none of the pronunciations above sound right to you, could you please check whether any of these related pronunciations should be applied to the name Denver? These are pronunciations that other similar names use, but which are not currently associated with Denver. If you think any of these are valid pronunciations for Denver, please vote using the thumbs up button.

About Pronunciation Data

Our confidence scores estimate the likelihood that a particular pronunciation is the most correct for a given name spelling. These scores are derived from pronunciation dictionaries, manual verification, your feedback, and a fine-tuned large language model trained to generate name pronunciations.

For any given spelling, confidence scores across all identified pronunciations sum to 100%. However, these scores don't account for the possibility of valid pronunciations that our model hasn't identified.

The raw pronunciations shown (like D EH1 N V ER0) use the ARPAbet phoneme system, a standardized way to represent English speech sounds. Each symbol represents a distinct sound in American English. Visit the ARPAbet Wikipedia page to learn more about these phonetic symbols.

Pronunciation audio is generated by an open source text to speech model that has been customized to adhere to pronunciations provided in ARPAbet format, but sometimes pronunciations that differ subtly will sound identical, particularly if the only difference is the level of emphasis on a syllable or a single vowel sound.

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