Census profile 2020–2024 ACS

Men and women in Daytona Beach

Population estimates by age, race, marital status and education.

Florida City

Men per 100 women118.5ages 20–34Approx. 90% range: 103.6–133.5

100 = equal numbers. Above 100 means more men; below 100 means more women. ± shows the 90% margin of error (approximate for ratios). How estimates work

Explore a specific group

Combine filters to see the balance in Daytona Beach.

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Race groups

Education breakdowns cover adults 25 and older.

Daytona Beach

All races · Bachelor’s degree or higher · Adults 25+

95.9men per 100 women

Approx. 90% range: 84.3–107.6

7,446 men 7,762 women

About these filters

Race + education covers adults 25 and older. Race + age covers ages 20–34, regardless of education. The available data does not support combining all three filters for a city.

Selecting multiple races combines those groups. “White”, “Black”, “Asian” and the other single-race options mean that race alone; people who report multiple races are in “Two or more races”. Each group includes Hispanic and non-Hispanic residents.

These are 2020–2024 ACS five-year estimates for Daytona Beach. Counts and ratios have sampling uncertainty; very uncertain ratios are hidden. These tables measure sex as male or female, not gender identity.

Education uses B15002 and race-specific tables C15002A, C15002B, C15002C, C15002D, C15002E, C15002F, C15002G. Age uses B01001 and B01001A–G. Counts are added before calculating ratios; combined margins of error use the Census approximation.

Local area comparison

Ages 20–34 · ACS 2020–2024. Areas with the same boundary appear once.

Population ages 20–34 by sex and area, ACS 2020–2024 five-year estimates
AreaMenWomenMen per 100 women
Daytona BeachCity10,154±890 (90% margin of error)8,568±778 (90% margin of error)118.5±15.0 (approximate 90% margin of error)
Volusia CountyCounty / equivalent51,016±859 (90% margin of error)48,790±957 (90% margin of error)104.6±2.7 (approximate 90% margin of error)
Deltona-Daytona Beach-Ormond Beach, FL Metro AreaMetro area59,588±1,018 (90% margin of error)57,303±1,076 (90% margin of error)104.0±2.6 (approximate 90% margin of error)

A dash means a ratio is unavailable or too uncertain to show. Counts remain visible. See the display rule.

Gender balance by age

Counts are for Daytona Beach. Ratios are men per 100 women; the metro column shows Deltona-Daytona Beach-Ormond Beach, FL Metro Area.

Residents, all ages78,992ACS 2020–2024 five-year estimate
Men and women by age group in Daytona Beach; ratios are men per 100 women in Daytona Beach and Deltona-Daytona Beach-Ormond Beach, FL Metro Area
AgeLocal menLocal womenLocal ratio men per 100 womenMetro ratio men per 100 women
All ages39,981±883 (90% margin of error)39,011±877 (90% margin of error)102.5±3.2 (approximate 90% margin of error)95.5±0.1 (approximate 90% margin of error)
Ages 20–3410,154±890 (90% margin of error)8,568±778 (90% margin of error)118.5±15.0 (approximate 90% margin of error)104.0±2.6 (approximate 90% margin of error)
Ages 20–244,389±584 (90% margin of error)3,421±552 (90% margin of error)128.3±26.8 (approximate 90% margin of error)106.5±7.9 (approximate 90% margin of error)
Ages 25–293,568±564 (90% margin of error)2,850±395 (90% margin of error)125.2±26.3 (approximate 90% margin of error)104.5±1.0 (approximate 90% margin of error)
Ages 30–342,197±363 (90% margin of error)2,297±379 (90% margin of error)95.6±22.3 (approximate 90% margin of error)101.2±2.1 (approximate 90% margin of error)

The metro column shows the same age band for Deltona-Daytona Beach-Ormond Beach, FL Metro Area. The city and metro are separate geographies.

Race and Hispanic origin

Ages 20–34 · Counts for Daytona Beach; ratios are men per 100 women.

Population ages 20–34 by race or Hispanic-origin category in Daytona Beach; ratios are men per 100 women in Daytona Beach and Deltona-Daytona Beach-Ormond Beach, FL Metro Area
Census categoryLocal menLocal womenLocal ratio men per 100 womenMetro ratio men per 100 women
White alone4,878±727 (90% margin of error)3,666±550 (90% margin of error)133.1±28.1 (approximate 90% margin of error)103.0±2.1 (approximate 90% margin of error)
Black or African American alone2,795±480 (90% margin of error)3,427±502 (90% margin of error)81.6±18.4 (approximate 90% margin of error)98.0±7.2 (approximate 90% margin of error)
American Indian and Alaska Native alone64±73 (90% margin of error)109±110 (90% margin of error)—Too uncertain—Too uncertain
Asian alone621±186 (90% margin of error)177±111 (90% margin of error)—Too uncertain133.2±28.1 (approximate 90% margin of error)
Native Hawaiian and Other Pacific Islander alone0±61 (90% margin of error)31±67 (90% margin of error)—Too uncertain—Too uncertain
Some other race alone591±207 (90% margin of error)289±153 (90% margin of error)—Too uncertain124.4±19.2 (approximate 90% margin of error)
Two or more races1,205±372 (90% margin of error)869±318 (90% margin of error)138.7±66.4 (approximate 90% margin of error)98.2±15.3 (approximate 90% margin of error)
White alone, not Hispanic or Latino4,721±717 (90% margin of error)3,488±541 (90% margin of error)135.3±29.4 (approximate 90% margin of error)103.6±1.1 (approximate 90% margin of error)
Hispanic or Latino, any race1,273±307 (90% margin of error)900±313 (90% margin of error)141.4±59.9 (approximate 90% margin of error)108.6±3.0 (approximate 90% margin of error)

The first seven rows are separate race categories. The final two overlap them: Hispanic or Latino includes any race; White alone, not Hispanic or Latino is a subset of White alone. Do not add all nine rows together.

Never married

Residents ages 20–34 who have never been married.

Never-married residents ages 20–34 in Daytona Beach and Deltona-Daytona Beach-Ormond Beach, FL Metro Area; ratios are men per 100 women
AreaMenWomenMen per 100 women
Daytona Beach8,291±868 (90% margin of error)5,993±711 (90% margin of error)138.3±21.9 (approximate 90% margin of error)
Deltona-Daytona Beach-Ormond Beach, FL Metro Area43,384±1,119 (90% margin of error)35,566±1,086 (90% margin of error)122.0±4.9 (approximate 90% margin of error)

“Never married” is a marital-status category; it does not mean currently single, unpartnered or available to date.

Education

Ages 25–34 · Highest qualification completed. Ratios are men per 100 women. This table uses a different age range.

Educational attainment by sex among adults ages 25–34 in Daytona Beach; ratios are men per 100 women in Daytona Beach and Deltona-Daytona Beach-Ormond Beach, FL Metro Area
Educational attainmentLocal menLocal womenLocal ratio men per 100 womenMetro ratio men per 100 women
Below high school571±305 (90% margin of error)177±110 (90% margin of error)—Too uncertain267.3±76.3 (approximate 90% margin of error)
High school graduate1,871±378 (90% margin of error)1,671±394 (90% margin of error)112.0±34.8 (approximate 90% margin of error)131.7±14.6 (approximate 90% margin of error)
Some college or associate’s degree1,666±442 (90% margin of error)1,680±394 (90% margin of error)99.2±35.1 (approximate 90% margin of error)91.8±11.9 (approximate 90% margin of error)
Bachelor’s degree1,250±315 (90% margin of error)1,179±369 (90% margin of error)106.0±42.6 (approximate 90% margin of error)74.3±11.4 (approximate 90% margin of error)
Graduate or professional degree407±162 (90% margin of error)440±150 (90% margin of error)—Too uncertain68.3±16.3 (approximate 90% margin of error)

Regional trend

Ages 20–34 · Deltona-Daytona Beach-Ormond Beach, FL metro area

Jul 1, 2025103.5 men per 100 women

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Use the arrow keys to explore dates, or Home and End to jump to the first and last values. Exact counts are available in the annual data table below.
View data and sources
Census estimates for ages 20–34 in Deltona-Daytona Beach-Ormond Beach, FL; exact reference date and source segment for each estimate
Reference date / seriesMenWomenMen per 100 women
Jul 1, 20002000–2010 intercensal · July 1 estimates40,74238,005107.2
Jul 1, 20012000–2010 intercensal · July 1 estimates41,22438,755106.4
Jul 1, 20022000–2010 intercensal · July 1 estimates41,77039,670105.3
Jul 1, 20032000–2010 intercensal · July 1 estimates43,00340,560106.0
Jul 1, 20042000–2010 intercensal · July 1 estimates44,52642,191105.5
Jul 1, 20052000–2010 intercensal · July 1 estimates46,02843,816105.0
Jul 1, 20062000–2010 intercensal · July 1 estimates47,85745,693104.7
Jul 1, 20072000–2010 intercensal · July 1 estimates48,82046,580104.8
Jul 1, 20082000–2010 intercensal · July 1 estimates48,61146,550104.4
Jul 1, 20092000–2010 intercensal · July 1 estimates48,10946,158104.2
Apr 1, 20102010–2020 intercensal · April 1 / July 1 estimates48,30246,302104.3
Jul 1, 20102000–2010 intercensal · July 1 estimates48,41746,382104.4
Jul 1, 20102010–2020 intercensal · April 1 / July 1 estimates48,43146,466104.2
Jul 1, 20112010–2020 intercensal · April 1 / July 1 estimates48,86547,065103.8
Jul 1, 20122010–2020 intercensal · April 1 / July 1 estimates48,92447,417103.2
Jul 1, 20132010–2020 intercensal · April 1 / July 1 estimates49,39047,686103.6
Jul 1, 20142010–2020 intercensal · April 1 / July 1 estimates49,77548,204103.3
Jul 1, 20152010–2020 intercensal · April 1 / July 1 estimates50,63948,848103.7
Jul 1, 20162010–2020 intercensal · April 1 / July 1 estimates51,84150,075103.5
Jul 1, 20172010–2020 intercensal · April 1 / July 1 estimates52,37050,790103.1
Jul 1, 20182010–2020 intercensal · April 1 / July 1 estimates53,03651,382103.2
Jul 1, 20192010–2020 intercensal · April 1 / July 1 estimates53,35651,637103.3
Apr 1, 20202010–2020 intercensal · April 1 / July 1 estimates53,22951,734102.9
Jul 1, 2020Vintage 2025 · July 1 estimates53,39952,009102.7
Jul 1, 2021Vintage 2025 · July 1 estimates55,60854,098102.8
Jul 1, 2022Vintage 2025 · July 1 estimates57,80456,125103.0
Jul 1, 2023Vintage 2025 · July 1 estimates59,46357,676103.1
Jul 1, 2024Vintage 2025 · July 1 estimates61,35459,290103.5
Jul 1, 2025Vintage 2025 · July 1 estimates62,25160,120103.5

Sources and limitations

The ACS pools survey responses from 2020–2024. These tables measure sex as male or female, not gender identity.

How the ratio and margins of error work

The ratio is men divided by women, multiplied by 100. A value of 105 means 105 men for every 100 women in that age group. The paired metro columns use the same calculation for Deltona-Daytona Beach-Ormond Beach, FL Metro Area.

Counts show the Census Bureau’s 90% margin of error (MOE) when available. We approximate a ratio’s MOE by combining the numerator and denominator MOEs. We hide the ratio if the denominator’s MOE is at least as large as its estimate or if the ratio’s MOE exceeds half the ratio. That 50% cutoff is this page’s display rule, not a Census Bureau standard. A dash means the ratio is unavailable or does not pass the rule.

Some Census counts are controlled to independent population totals. Following Census guidance, controlled counts contribute zero sampling MOE when we combine cells. This does not mean the population count has no uncertainty from other sources.

The source tables classify sex as male or female. They do not measure gender identity. The 2020–2024 ACS five-year estimates pool survey responses collected across those five years and are not a single-year count.

Sources and geography

Age and sex estimates come from the U.S. Census Bureau’s 2020–2024 American Community Survey five-year tables. Start with Table B01001 for Daytona Beach or Deltona-Daytona Beach-Ormond Beach, FL Metro Area. Race-specific estimates come from tables B01001A–I: A, B, C, D, E, F, G, H, I. The race-table links open at Daytona Beach; choose Deltona-Daytona Beach-Ormond Beach, FL Metro Area in Census for the corresponding metro tables. Never-married counts use Table B12002 for Daytona Beach and for Deltona-Daytona Beach-Ormond Beach, FL Metro Area; education counts use Table B15001 for Daytona Beach and for Deltona-Daytona Beach-Ormond Beach, FL Metro Area.

The regional trend uses annual population estimates, a separate series from the ACS tables above. It combines the Census Bureau Population Estimates Program’s county estimates: 2000–2010 intercensal, 2010–2020 intercensal and Vintage 2025. The county list follows the July 2023 metro definition, while source county boundaries follow their published 2010, 2020 and 2025 vintages. The graph shows one July 1 estimate per year, favoring the newer series where estimates overlap. The data table also includes April counts and older overlapping July estimates. Changes between Census releases can reflect revisions as well as population changes; the data table lists each estimate’s date and source.

Download the estimates used on this page as a CSV file.