Seal Beach

Note

Self-Response Rates (SRR) DO NOT indicate the overall share of households or people counted in the census, but rather the share of housing units that filled out the form on their own.

City statistics such as population, race/ethnic demographic breakdown, and “hard-to-count” (HTC) characteristics are based on 2015-2019 ACS 5-year estimates and not the results of the 2020 Census.

See the Methodology section for information about how these numbers are calculated.

City Summary


The City of Seal Beach’s final 2020 self-response rate (SRR) was 80.1%, which was higher than its SRR in the 2010 census and higher than the SRR for Orange County (76.6%). The lowest self-responding tracts in the city had a SRR in the 30-40% range while the highest self-responding tracts had a SRR in the 85-100% range.

Of the bottom 20% lowest self-responding tracts in Orange County (116 tracts with an SRR below 71%), there were 3 census tracts that overlapped the City of Seal Beach. Of those tracts, the largest share of the population was White (non-Hispanic) (60.8%), followed by Hispanic/Latino of Any Race (25.7%) (mostly “Mexican” at 18.3%). The most prominent hard-to-count (HTC) characteristics were households that were rented (74.8%), multi-unit structures (47.3%), and households that were non-family (45.6%).

Of the top 20% highest self-responding tracts in Orange County that overlapped the City of Seal Beach, the largest share of the population was White (non-Hispanic) (68.4%), followed by Hispanic/Latino of Any Race (13.5%) (mostly “Mexican” at 8.2%). The most prominent HTC characteristics were households that were non-family (20.2%) and households that were rented (15.0%).

When looking at the Top and Bottom 20% Analysis, it is also important to note if any race/ethnic groups and HTC characteristics are under or overrepresented compared to their estimated share of the city’s population. For instance, the estimated Hispanic/Latino of Any Race population in Seal Beach is 12.4% but Hispanic/Latino of Any Race makes up 25.7% of the bottom 20% lowest self-responding tracts overlapping the City of Seal Beach. See the analysis, tables, graphs, and maps below for more details.

City Population City Population Size Rank (of 34 cities)
24,204 29
City 2020 SRR 2020 City SRR Rank (of 34 cities)
80.1% 14
City 2010 SRR 2010 City SRR Rank (of 34 cities)
74.8% 12

Additional data resources:

Census QuickFacts (source: U.S. Census Bureau)

Hard to Count fact sheets (source: California Complete Count - Census 2020 Office)

Census Reporter (source: Census Reporter, NFP, an Illinois not-for-profit corporation)

Race/Ethnic Demographic Breakdown


The following table shows the race/ethnic demographic distribution and final 2020 self-response rates (SRR) in the city, compared to Orange County. The listed SRR for race/ethnic groups refers to the calculated SRR for all census tracts where the group’s estimated share of the population is greater than or equal to the estimated share of the population for the total geography (e.g. the city or county). It does not demonstrate the SRR of the whole group.

CORRECT INTERPRETATION: The calculated self-response rate in Orange County census tracts where the estimated Asian (non-Hispanic) population made up at least 20.3% of the population was 77.1%.

INCORRECT INTERPRETATION: The Asian (non-Hispanic) population had a self-response rate of 77.1% in Orange County.

Race/Ethnic demographic distribution and final calculated 2020 self-response rate in the city, compared to Orange County:

Race/Ethnic Group % of City Population % of County Population # of Census Tracts where % Population ≥ % Population in City # of Census Tracts where % Population ≥ % Population in County Final City SRR Final County SRR
AMERICAN INDIAN / ALASKA NATIVE 0.2% 0.2% 4 160 85.1% 77.1%
ASIAN* 11.1% 20.3% 3 191 85.0% 77.1%
Asian Indian 0.6% 1.8% 4 168 88.7% 78.0%
Chinese 1.7% 3.8% 4 160 88.7% 78.6%
Filipino 1.8% 2.6% 5 199 84.1% 77.4%
Japanese 2.1% 1.1% 3 218 85.0% 80.2%
Korean 2.7% 3.0% 2 132 83.6% 78.0%
Vietnamese 1.3% 6.6% 3 122 85.0% 77.5%
Other Asian 0.9% 1.7% 3 205 85.7% 77.6%
BLACK / AFRICAN AMERICAN 2.1% 1.6% 2 212 87.6% 75.6%
HISPANIC / LATINO OF ANY RACE 12.4% 34.1% 6 213 80.6% 73.1%
Mexican 7.6% 29.2% 6 204 80.6% 72.9%
Puerto Rican 0.6% 0.3% 3 168 81.0% 77.3%
Cuban 1.0% 0.4% 2 202 80.7% 75.6%
Other Hispanic/Latino 3.2% 4.2% 5 236 82.3% 76.1%
NATIVE HAWAIIAN / PACIFIC ISLANDER 0.3% 0.3% 4 132 79.3% 76.1%
SOME OTHER RACE 0.2% 0.2% 4 157 78.7% 77.6%
TWO OR MORE RACES 3.1% 2.8% 4 251 79.1% 78.7%
WHITE 70.6% 40.6% 5 321 79.1% 78.6%

*The “ASIAN” race category does not include people of Hispanic/Latino origin, but the 7 ethnic Asian subcategories (e.g., Korean, Other Asian) may include people of Hispanic/Latino origin.

“Hard-to-Count” (HTC) Characteristic Breakdown


The following table shows the “hard-to-count” (HTC) characteristics and final 2020 self-response rates (SRR) in the city, compared to Orange County. The SRR for a HTC characteristic refers to the calculated SRR in those census tracts where the characteristic’s estimated percentage is greater than or equal to the estimated percentage for the total geography (e.g. the city or county). It does not demonstrate the SRR for specific types of households (i.e. that are rented) or populations (i.e. that are children under 5).

CORRECT INTERPRETATION: The calculated self-response rate for census tracts in Orange County where at least 42.6% of all occupied housing units were rented was 71.7%.

INCORRECT INTERPRETATION: Rented households had a self-response rate of 71.7% in Orange County.

See the Methodology section for more information on Hard-to-Count demographics.

“Hard-to-count” (HTC) characteristics and final calculated 2020 self-response rates in the city, compared to Orange County:

HTC Characteristic % of City Population % of County Population # of Census Tracts where % Characteristic ≥ % Characteristic in City # of Census Tracts where % Characteristic ≥ % Characteristic in County Final City SRR Final County SRR
PERCENT OF TOTAL HOUSING UNITS: -- -- -- -- -- --
That are vacant 9.3% 5.7% 3 178 79.1% 72.6%
In a multi-unit structure with 3 or more units 43.3% 32.7% 4 249 82.2% 72.4%
PERCENT OF HOUSEHOLDS (OR OCCUPIED HOUSING UNITS): -- -- -- -- -- --
That are rented 24.4% 42.6% 4 268 69.5% 71.7%
That are overcrowded (> 1.5 persons/room) 1.3% 3.2% 4 187 78.6% 71.5%
Without broadband subscriptions 15.9% 9.3% 2 255 83.6% 74.5%
With limited-English speaking ability 5.3% 8.7% 2 231 83.6% 74.6%
That are non-family (e.g. housemates, unmarried partners) 51.6% 28.3% 3 222 82.2% 73.2%
Receiving public assistance income 0.8% 1.9% 5 229 83.0% 75.1%
PERCENT OF THE POPULATION: -- -- -- -- -- --
That are children under 5 3.4% 5.9% 5 235 85.8% 75.3%
That was born outside of the U.S. 15.6% 30.1% 3 244 85.0% 74.4%
Who moved to Orange County in the past year 6.5% 4.4% 3 195 79.1% 74.4%
With income below 150% of poverty level 9.3% 17.9% 4 219 83.2% 71.7%
Age 16 or older that are unemployed 4.1% 4.6% 6 261 87.9% 74.9%
Age 25 or older who are not high-school graduates 5.1% 14.5% 2 208 83.6% 73.7%

City-wide Self-Response Rates Over Time


Weekly self-response rates and weekly change in self-response rates in the city between March and October 2020:

SRRGraph_SealBeach

Self-Response Rates by Census Tract


The following map shows the final self-response rates (SRR) for every census tract that overlaps the city. As shown in the legend to the left of the map, the census tracts in dark purple have the highest SRR, and the census tracts in dark orange have the lowest SRR.

For more information about these census tracts, visit this interactive map from the California Complete Count - Census 2020 Office.

Map of final 2020 self-response rates for all census tracts that overlap the city:

SRRMap_SealBeach

Census tracts overlapping the city that are among the lowest self-responding tracts in Orange County (below 71% SRR)
06059099502, 06059099506, 06059099511

Bottom 20% Analysis


The following table shows the race/ethnic and “hard-to-count” (HTC) characteristic make-up of the bottom 20% lowest responding census tracts that overlap the city, compared to Orange County. It does not demonstrate the self-response rate (SRR) of the whole group.

CORRECT INTERPRETATION: Of the bottom 20% lowest responding census tracts in Orange County, 54.3% of the population was Hispanic/Latino.

INCORRECT INTERPRETATION: The self-response rate for the Hispanic/Latino population in Orange County was 54.3%.

Demographic make-up of the bottom 20% lowest responding census tracts that overlap the city, compared to Orange County:

Race/Ethnic Group City County
AMERICAN INDIAN / ALASKA NATIVE 0.1% 0.2%
ASIAN* 1.9% 12.2%
Asian Indian 0.0% 1.3%
Chinese 0.4% 2.8%
Filipino 1.4% 1.9%
Japanese 0.0% 0.5%
Korean 0.2% 1.5%
Vietnamese 0.0% 3.1%
Other Asian 0.0% 1.3%
BLACK / AFRICAN AMERICAN 7.2% 1.8%
HISPANIC / LATINO OF ANY RACE 25.7% 54.3%
Mexican 18.3% 49.1%
Puerto Rican 1.1% 0.4%
Cuban 1.5% 0.3%
Other Hispanic/Latino 4.8% 4.6%
NATIVE HAWAIIAN / PACIFIC ISLANDER 0.1% 0.3%
SOME OTHER RACE 0.1% 0.2%
TWO OR MORE RACES 4.0% 1.9%
WHITE 60.8% 29.1%

*The “ASIAN” race category does not include people of Hispanic/Latino origin, but the 7 ethnic Asian subcategories (eg, Korean, Other Asian) may include people of Hispanic/Latino origin.

HTC Characteristic City County
PERCENT OF TOTAL HOUSING UNITS: -- --
That are vacant 7.8% 10.5%
In a multi-unit structure with 3 or more units 47.3% 52.3%
PERCENT OF HOUSEHOLDS (OR OCCUPIED HOUSING UNITS): -- --
That are rented 74.8% 65.8%
That are overcrowded (> 1.5 persons/room) 1.4% 7.4%
Without broadband subscriptions 7.6% 12.7%
With limited-English speaking ability 0.1% 10.8%
That are non-family (e.g. housemates, unmarried partners) 45.6% 35.4%
Receiving public assistance income 1.1% 2.5%
PERCENT OF THE POPULATION: -- --
That are children under 5 10.2% 6.6%
That was born outside of the U.S. 7.4% 34.4%
Who moved to Orange County in the past year 11.6% 5.5%
With income below 150% of poverty level 9.5% 29.4%
Age 16 or older that are unemployed 4.7% 5.2%
Age 25 or older who are not high-school graduates 3.6% 24.4%

Top 20% Analysis


The following table shows the race/ethnic and “hard-to-count” (HTC) characteristic make-up of the top 20% highest responding census tracts that overlap the city, compared to Orange County. It does not demonstrate the self-response rate (SRR) of the whole group.

CORRECT INTERPRETATION: Of the top 20% highest responding census tracts in Orange County, 58.5% of the population was White (non-Hispanic).

INCORRECT INTERPRETATION: The self-response rate for the White (non-Hispanic) population in Orange County was 58.5%.

Demographic make-up of the top 20% highest responding census tracts that overlap the city, compared to Orange County:

Race/Ethnic Group City County
AMERICAN INDIAN / ALASKA NATIVE 0.2% 0.2%
ASIAN* 12.3% 19.6%
Asian Indian 1.6% 2.3%
Chinese 3.3% 4.6%
Filipino 1.5% 2.4%
Japanese 2.0% 1.8%
Korean 1.7% 2.8%
Vietnamese 1.1% 4.1%
Other Asian 1.2% 1.8%
BLACK / AFRICAN AMERICAN 1.3% 1.3%
HISPANIC / LATINO OF ANY RACE 13.5% 16.3%
Mexican 8.2% 12.1%
Puerto Rican 0.8% 0.4%
Cuban 1.0% 0.3%
Other Hispanic/Latino 3.6% 3.5%
NATIVE HAWAIIAN / PACIFIC ISLANDER 0.1% 0.2%
SOME OTHER RACE 0.0% 0.2%
TWO OR MORE RACES 4.1% 3.7%
WHITE 68.4% 58.5%

*The “ASIAN” race category does not include people of Hispanic/Latino origin, but the 7 ethnic Asian subcategories (eg, Korean, Other Asian) may include people of Hispanic/Latino origin.

HTC Characteristic City County
PERCENT OF TOTAL HOUSING UNITS: -- --
That are vacant 1.5% 2.8%
In a multi-unit structure with 3 or more units 7.2% 6.5%
PERCENT OF HOUSEHOLDS (OR OCCUPIED HOUSING UNITS): -- --
That are rented 15.0% 16.1%
That are overcrowded (> 1.5 persons/room) 0.3% 0.4%
Without broadband subscriptions 6.8% 6.2%
With limited-English speaking ability 1.6% 4.3%
That are non-family (e.g. housemates, unmarried partners) 20.2% 19.0%
Receiving public assistance income 1.1% 1.3%
PERCENT OF THE POPULATION: -- --
That are children under 5 5.4% 4.7%
That was born outside of the U.S. 13.1% 20.9%
Who moved to Orange County in the past year 3.4% 2.9%
With income below 150% of poverty level 4.4% 7.8%
Age 16 or older that are unemployed 5.7% 3.9%
Age 25 or older who are not high-school graduates 3.3% 5.2%

SRR Analysis - Race/Ethnic Group


The following graphs show the progression of self-response rates (SRR) over time in the city, disaggregated by race/ethnic group. Each data point represents the calculated SRR for all census tracts where the group’s share of the population is greater than or equal to their share of the population for the total geography (e.g. the city or county). It does not demonstrate the SRR of the whole group.

For a city-by-city analysis of SRR for race/ethnic groups, see the Race/Ethnicity section.

June-Oct 2020 weekly self-response rates by race/ethnic group, compared to city and county trends:

SealBeach_SRR_RE

June-Oct 2020 weekly change in self-response rates by race/ethnic group, compared to city and county trends:

SealBeach_Change_RE

SRR Analysis - HTC Characteristic

The following graphs show the progression of self-response rates (SRR) over time in the city, disaggregated by select “hard-to-count” (HTC) characteristics. Each data point represents the calculated SRR in those census tracts where the characteristic’s estimated percentage is greater than or equal to the estimated percentage for the total geography (e.g. the city or county). It does not demonstrate the SRR for specific types of households (i.e. that are rented) or populations (i.e. that are children under 5).

For a city-by-city analysis of SRR for select HTC demographics, see the HTC Characteristic section.

June-Oct 2020 weekly self-response rates for select HTC characteristics, compared to city and county trends:

SealBeach_SRR_HTC

June-Oct 2020 weekly change in self-response rates for select HTC characteristics, compared to city and county trends:

SealBeach_SRR_HTC