About this dataset

Context

The dataset tabulates the Orange County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Orange County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Orange County was 1.47 million, a 1.35% increase year-by-year from 2022. Previously, in 2022, Orange County population was 1.45 million, an increase of 1.68% compared to a population of 1.43 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Orange County increased by 568,993. In this period, the peak population was 1.47 million in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Orange County is shown in this column.
• Year on Year Change: This column displays the change in Orange County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Orange County Population by Year. You can refer the same here

Graph and download economic data for Resident Population in Orange County, CA (CAORAN7POP) from 1970 to 2024 about Orange County, CA; Los Angeles; residents; CA; population; and USA.

US Census 2010 (SF1) population characteristics for Orange County, California, across multiple census geographies: county, county subdivisions, urban areas, census places (cities), block groups, tracts, ZIP code tabulation areas, US Congressional districts (111th), and elementary school districts. The US Census geodemographic data are based on the 2010 TigerLines across multiple census geographies. The spatial geographies were merged with SF1 and SF2 demographic data tables for both Housing and Population characteristics.

Graph and download economic data for Population Estimate, Total (5-year estimate) in Orange County, VT (B03002001E050017) from 2009 to 2023 about Orange County, VT; VT; estimate; persons; 5-year; population; and USA.

About this dataset

Context

The dataset tabulates the population of Orange County by race. It includes the population of Orange County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Orange County across relevant racial categories.

Key observations

The percent distribution of Orange County population by race (across all racial categories recognized by the U.S. Census Bureau): 70.47% are white, 10.59% are Black or African American, 0.46% are American Indian and Alaska Native, 7.88% are Asian, 0.03% are Native Hawaiian and other Pacific Islander, 3.77% are some other race and 6.80% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Orange County
• Population: The population of the racial category (excluding ethnicity) in the Orange County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Orange County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Orange County Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Orange County, TX (S1701ACS048361) from 2012 to 2023 about Orange County, TX; Beaumont; percent; poverty; TX; 5-year; population; and USA.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Native Hawaiian and Other Pacific Islander Alone (5-year estimate) in Orange County, CA (B03002017E006059) from 2009 to 2023 about Orange County, CA; Los Angeles; Pacific Islands; latino; hispanic; CA; estimate; persons; 5-year; population; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Orange County, CA (B01002001E006059) from 2009 to 2023 about Orange County, CA; age; Los Angeles; CA; median; 5-year; and USA.

Graph and download economic data for Employed Persons in Orange County, CA (LAUCN060590000000005A) from 1990 to 2024 about Orange County, CA; Los Angeles; CA; household survey; employment; persons; and USA.

Graph and download economic data for Resident Population in Orange County, IN (INORPOP) from 1970 to 2024 about Orange County, IN; IN; residents; population; and USA.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Orange County, CA (DISCONTINUED) (NETMIGNACS006059) from 2009 to 2020 about Orange County, CA; Los Angeles; migration; flow; Net; CA; 5-year; and population.

About this dataset

Context

The dataset tabulates the population of Orange County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Orange County. The dataset can be utilized to understand the population distribution of Orange County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Orange County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Orange County.

Key observations

Largest age group (population): Male # 20-24 years (7,299) | Female # 20-24 years (8,781). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Orange County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Orange County is shown in the following column.
• Population (Female): The female population in the Orange County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Orange County for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Orange County Population by Gender. You can refer the same here

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino (5-year estimate) in Orange County, VT (B03002002E050017) from 2009 to 2023 about Orange County, VT; VT; non-hispanic; estimate; persons; 5-year; population; and USA.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Orange County by race. It includes the distribution of the Non-Hispanic population of Orange County across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Orange County across relevant racial categories.

Key observations

Of the Non-Hispanic population in Orange County, the largest racial group is White alone with a population of 1.19 million (57.18% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Orange County
• Population: The population of the racial category (for Non-Hispanic) in the Orange County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Orange County total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Orange County Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Orange County, CA (B03002020E006059) from 2009 to 2023 about Orange County, CA; Los Angeles; latino; hispanic; CA; estimate; persons; 5-year; population; and USA.

Graph and download economic data for Equifax Subprime Credit Population for Orange County, FL (EQFXSUBPRIME012095) from Q2 2014 to Q1 2025 about Orange County, FL; Orlando; subprime; FL; population; and USA.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Orange County, FL (B03002003E012095) from 2009 to 2023 about Orange County, FL; Orlando; white; FL; non-hispanic; estimate; persons; 5-year; population; and USA.

US Census American Community Survey (ACS) 2020, 5-year estimates of the key demographic characteristics for Orange County, California. The data contains 105 fields for the variable groups D01: Sex and age (universe: total population, table X1, 49 fields); D02: Median age by sex and race (universe: total population, table X1, 12 fields); D03: Race (universe: total population, table X2, 8 fields); D04: Race alone or in combination with one or more other races (universe: total population, table X2, 7 fields); D05: Hispanic or Latino and race (universe: total population, table X3, 21 fields), and; D06: Citizen voting age population (universe: citizen, 18 and over, table X5, 8 fields). The US Census geodemographic data are based on the 2020 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project GitHub page (https://github.com/ktalexan/OCACS-Geodemographics).

US Census American Community Survey (ACS) 2017, 5-year estimates of the key demographic characteristics for Orange County, California. The data contains 105 fields for the variable groups D01: Sex and age (universe: total population, table X1, 49 fields); D02: Median age by sex and race (universe: total population, table X1, 12 fields); D03: Race (universe: total population, table X2, 8 fields); D04: Race alone or in combination with one or more other races (universe: total population, table X2, 7 fields); D05: Hispanic or Latino and race (universe: total population, table X3, 21 fields), and; D06: Citizen voting age population (universe: citizen, 18 and over, table X5, 8 fields). The US Census geodemographic data are based on the 2017 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

The Orange County Annual Survey begins in 1982 to monitor the demographic, economic, and political character of Orange County and the changes in this character over time. Areas of primary concentration are housing, mobility, growth, transportation, public services, politics and government, and demographics. The survey of 1983 builds on its predecessor in each of these areas with a view toward the implications of current trends for the future of Orange County. The sample size is 1,003 Orange County adult residents.Online data analysis & additional documentation in Link below. Methods The sample for the 1983 Orange County Survey consists of 1,003 randomly selected residents who were interviewed by telephone. The sample is stratified geographically, with half of the sample selected from the north of the Santa Ana River and half from the south. For data analyses, the sample is statistically weighted to represent the actual distribution of the Orange County population. The sample in each area was chosen using a computer program, which randomly generates telephone numbers from among working blocks of telephone exchanges. A working block is one that contains numbers in use. The total of telephone numbers generated within an exchange was in proportion to the number of residential phones represented by that exchange in the northern part of the county or the southern part of the county. Using this procedure, approximately 1,800 telephone numbers from the south and approximately 1,800 telephone numbers from the north were drawn. This procedure of random digit dialing ensures that unlisted as well as listed numbers are included in the sample. Also, since 95% of the households in Orange County have telephones, random dialing yields a sample representative of the population of Orange County. The Troldahl-Carter Method was used in randomly selecting which adult member of the household was to be interviewed. This method consists of enumerating the total number of adults in the household and the total number of men in the household. Then, using a prearranged grid, the interviewer selects the individual in the household for interviewing. As further evidence of the representativeness of the sample chosen by the above methods, characteristics of the sample were compared to characteristics of the total Orange County population using the 1980 census. On the basis of age, income, sex, marital status, household size, and home ownership, the sample is representative of the population of Orange County. Characteristics of the 1982 Orange County Survey sample were also contrasted with the characteristics of the 1983 Orange County Survey sample. Marital status, ethnicity, age, sex, and education were closely comparable in the two surveys. The sampling error for this survey is plus or minus three percentage points. This means that if this survey were to be repeated on hundred times, in 95 out of the 100 times the answers obtained for a particular question would match those we obtained in this survey within three points. The sampling error for any particular sub-group would be greater. These calculations assume that the data were collected under ideal circumstances. Since there are a large number of practical problems in conducting social surveys, the actual sampling error for any particular result might be slightly larger. As noted above, the interviewing for the Orange County Survey was done by telephone. Cost considerations and methodological improvements have led to telephone surveys' increased adoption in the social sciences. In addition, several studies show similar quality in telephone and face-to-face interviews. Interviewers were closely supervised during the data collection. Interviewers participated in a two-hour training session on the Orange County Survey instrument. Supervisors were available during the telephone interviewing to answer questions of interviewers or respondents. The telephone system used also allowed supervisors to monitor interviews to correct for errors in administering the questionnaire.