Dana Point

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 Dana Point’s final 2020 self-response rate (SRR) was 70.0%, which was higher than its SRR in the 2010 census and lower than the SRR for Orange County (76.6%). The lowest self-responding tracts in the city had a SRR in the 62-68% range while the highest self-responding tracts had a SRR in the 74-85% range.

Of the bottom 20% lowest self-responding tracts in Orange County (116 tracts with an SRR below 71%), there were 4 census tracts that overlapped the City of Dana Point. Of those tracts, the largest share of the population was White (non-Hispanic) (71.8%), followed by Hispanic/Latino of Any Race (20.4%) (mostly “Mexican” at 18.0%). The most prominent hard-to-count (HTC) characteristics were households that were non-family (43.4%) and households that were rented (42.6%).

Of the top 20% highest self-responding tracts in Orange County (116 tracts with an SRR above 85%), there were 0 census tracts that overlapped with the City of Dana Point. This means that all of the census tracts that overlap the City of Dana Point had a SRR below 85%.

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. See the analysis, tables, graphs, and maps below for more details.

City Population City Population Size Rank (of 34 cities)
33,769 27
City 2020 SRR 2020 City SRR Rank (of 34 cities)
70.0% 32
City 2010 SRR 2010 City SRR Rank (of 34 cities)
65.1% 34

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% 3 160 74.4% 77.1%
ASIAN* 3.6% 20.3% 7 191 71.4% 77.1%
Asian Indian 0.3% 1.8% 3 168 69.7% 78.0%
Chinese 0.7% 3.8% 4 160 77.1% 78.6%
Filipino 0.5% 2.6% 6 199 72.5% 77.4%
Japanese 0.7% 1.1% 3 218 71.2% 80.2%
Korean 0.5% 3.0% 4 132 69.3% 78.0%
Vietnamese 0.7% 6.6% 4 122 68.9% 77.5%
Other Asian 0.3% 1.7% 4 205 70.6% 77.6%
BLACK / AFRICAN AMERICAN 1.4% 1.6% 4 212 69.9% 75.6%
HISPANIC / LATINO OF ANY RACE 17.6% 34.1% 6 213 73.7% 73.1%
Mexican 13.4% 29.2% 6 204 73.7% 72.9%
Puerto Rican 0.7% 0.3% 4 168 72.0% 77.3%
Cuban 0.1% 0.4% 2 202 63.9% 75.6%
Other Hispanic/Latino 3.4% 4.2% 3 236 72.8% 76.1%
NATIVE HAWAIIAN / PACIFIC ISLANDER 0.1% 0.3% 1 132 69.8% 76.1%
SOME OTHER RACE 0.2% 0.2% 3 157 67.2% 77.6%
TWO OR MORE RACES 2.9% 2.8% 6 251 74.6% 78.7%
WHITE 74.1% 40.6% 5 321 69.8% 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 16.6% 5.7% 3 178 65.8% 72.6%
In a multi-unit structure with 3 or more units 26.1% 32.7% 3 249 68.4% 72.4%
PERCENT OF HOUSEHOLDS (OR OCCUPIED HOUSING UNITS): -- -- -- -- -- --
That are rented 36.2% 42.6% 3 268 71.4% 71.7%
That are overcrowded (> 1.5 persons/room) 1.0% 3.2% 2 187 67.9% 71.5%
Without broadband subscriptions 6.8% 9.3% 5 255 71.9% 74.5%
With limited-English speaking ability 2.4% 8.7% 4 231 69.8% 74.6%
That are non-family (e.g. housemates, unmarried partners) 39.7% 28.3% 4 222 71.1% 73.2%
Receiving public assistance income 2.7% 1.9% 4 229 76.3% 75.1%
PERCENT OF THE POPULATION: -- -- -- -- -- --
That are children under 5 4.0% 5.9% 7 235 72.3% 75.3%
That was born outside of the U.S. 14.3% 30.1% 4 244 74.1% 74.4%
Who moved to Orange County in the past year 4.0% 4.4% 3 195 72.3% 74.4%
With income below 150% of poverty level 11.3% 17.9% 3 219 70.2% 71.7%
Age 16 or older that are unemployed 3.9% 4.6% 4 261 78.0% 74.9%
Age 25 or older who are not high-school graduates 5.8% 14.5% 4 208 72.5% 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_DanaPoint

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_DanaPoint

Census tracts overlapping the city that are among the lowest self-responding tracts in Orange County (below 71% SRR)
06059042201, 06059042305, 06059042313, 06059042323

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 0.0% 0.2%
ASIAN* 3.9% 12.2%
Asian Indian 0.4% 1.3%
Chinese 0.1% 2.8%
Filipino 0.7% 1.9%
Japanese 0.5% 0.5%
Korean 0.5% 1.5%
Vietnamese 1.1% 3.1%
Other Asian 0.6% 1.3%
BLACK / AFRICAN AMERICAN 1.2% 1.8%
HISPANIC / LATINO OF ANY RACE 20.4% 54.3%
Mexican 18.0% 49.1%
Puerto Rican 0.6% 0.4%
Cuban 0.3% 0.3%
Other Hispanic/Latino 1.5% 4.6%
NATIVE HAWAIIAN / PACIFIC ISLANDER 0.1% 0.3%
SOME OTHER RACE 0.3% 0.2%
TWO OR MORE RACES 2.3% 1.9%
WHITE 71.8% 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 22.0% 10.5%
In a multi-unit structure with 3 or more units 30.2% 52.3%
PERCENT OF HOUSEHOLDS (OR OCCUPIED HOUSING UNITS): -- --
That are rented 42.6% 65.8%
That are overcrowded (> 1.5 persons/room) 1.8% 7.4%
Without broadband subscriptions 7.7% 12.7%
With limited-English speaking ability 3.0% 10.8%
That are non-family (e.g. housemates, unmarried partners) 43.4% 35.4%
Receiving public assistance income 2.4% 2.5%
PERCENT OF THE POPULATION: -- --
That are children under 5 4.3% 6.6%
That was born outside of the U.S. 15.4% 34.4%
Who moved to Orange County in the past year 3.8% 5.5%
With income below 150% of poverty level 14.7% 29.4%
Age 16 or older that are unemployed 3.3% 5.2%
Age 25 or older who are not high-school graduates 8.2% 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 0.0% 0.2%
ASIAN* 0.0% 19.6%
Asian Indian 0.0% 2.3%
Chinese 0.0% 4.6%
Filipino 0.0% 2.4%
Japanese 0.0% 1.8%
Korean 0.0% 2.8%
Vietnamese 0.0% 4.1%
Other Asian 0.0% 1.8%
BLACK / AFRICAN AMERICAN 0.0% 1.3%
HISPANIC / LATINO OF ANY RACE 0.0% 16.3%
Mexican 0.0% 12.1%
Puerto Rican 0.0% 0.4%
Cuban 0.0% 0.3%
Other Hispanic/Latino 0.0% 3.5%
NATIVE HAWAIIAN / PACIFIC ISLANDER 0.0% 0.2%
SOME OTHER RACE 0.0% 0.2%
TWO OR MORE RACES 0.0% 3.7%
WHITE 0.0% 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 0.0% 2.8%
In a multi-unit structure with 3 or more units 0.0% 6.5%
PERCENT OF HOUSEHOLDS (OR OCCUPIED HOUSING UNITS): -- --
That are rented 0.0% 16.1%
That are overcrowded (> 1.5 persons/room) 0.0% 0.4%
Without broadband subscriptions 0.0% 6.2%
With limited-English speaking ability 0.0% 4.3%
That are non-family (e.g. housemates, unmarried partners) 0.0% 19.0%
Receiving public assistance income 0.0% 1.3%
PERCENT OF THE POPULATION: -- --
That are children under 5 0.0% 4.7%
That was born outside of the U.S. 0.0% 20.9%
Who moved to Orange County in the past year 0.0% 2.9%
With income below 150% of poverty level 0.0% 7.8%
Age 16 or older that are unemployed 0.0% 3.9%
Age 25 or older who are not high-school graduates 0.0% 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:

DanaPoint_SRR_RE

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

DanaPoint_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:

DanaPoint_SRR_HTC

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

DanaPoint_SRR_HTC