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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 38,574, a 1.36% increase year-by-year from 2022. Previously, in 2022, Orange County population was 38,055, an increase of 2.24% compared to a population of 37,220 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Orange County increased by 12,583. In this period, the peak population was 38,574 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Orange County Population by Year. You can refer the same here
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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.
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Graph and download economic data for Population Estimate, Total (5-year estimate) in Orange County, CA (B03002001E006059) from 2009 to 2023 about Orange County, CA; Los Angeles; estimate; CA; 5-year; persons; population; and USA.
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TwitterComprehensive demographic dataset for Orange County, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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U.S. Census Bureau QuickFacts statistics for Orange County, Virginia. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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Orange County experiences considerable growth in the decade of the 1970s and is presently faced with the impacts of population changes as well as changes in economic conditions. The Orange County Annual Survey is undertaken by the University of California at Irvine to assess these changes and their effects on residents perceptions of community problems and the quality of life in Orange County. In this first year of the Annual Survey, the focus is on issues of growth and mobility. The sample size is 1,009 Orange County adult residents.Online data analysis & additional documentation in Link below. Methods The sample for the 1982 Orange County Survey consists of 1,009 randomly selected residents who were interviewed by telephone. The sample is stratified geographically, with half of the sample selected from North of the Santa Ana River, and half South. For data analyses, the sample is statistically weighted to represent the actual distribution of the Orange County population (see Social Data Analysts, 1982). 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, 2,000 telephone numbers from the South and 2,000 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 (Groves and Kahn, 1979). The Troldahl-Carter Method was used in randomly selecting which adult member of the household was to be interviewed (Troldahl and Carter, 1964). This method consists of enumerating the total number of adults in the house-hold and the total number of men in the household. Then, using a prearranged grid, the interviewer selects the individual in the household for inter-viewing. 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 (State Census Data Center, 1982). On the basis of age, income, sex, marital status, house-hold size, and home ownership, the sample is representative of the population of Orange County.
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U.S. Census Bureau QuickFacts statistics for Orange County, California. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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The dataset tabulates the Orange County population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Orange County. The dataset can be utilized to understand the population distribution of Orange County by age. For example, using this dataset, we can identify the largest age group in Orange County.
Key observations
The largest age group in Orange County, FL was for the group of age 30 to 34 years years with a population of 117,024 (8.12%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Orange County, FL was the 85 years and over years with a population of 20,291 (1.41%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Orange County Population by Age. You can refer the same here
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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.
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This list ranks the 34 cities in the Orange County, CA by White population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
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.
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/.
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The Orange County Annual Survey is in its fourth year. The 1985 survey represents the first as a university-based research program with all its funding from external sources. It aims (1) to provide decision makers in the private and public sectors with valid and current information on Orange County residents; (2) to track shifts in important attitudes and population characteristics over time; (3) to study the social, economic, and political issues of Orange County from a nonadvocacy position; and (4) to help establish public discussion and enlightened debate in future public policy. The theme of this year's survey is "Orange County at Mid-Decade." The 1985 survey continues the analysis of attitudes on national issues by considering views towards social welfare spending. This survey analyzes geographical divisions of Orange County that represent distinguishable communities in terms of social, housing, and public policy concerns. The sample size is 1,008 Orange County adult residents.Online data analysis & additional documentation in Link below. Methods The sample for the 1985 Orange County Annual Survey consists of 1,008 randomly selected residents who were interviewed by telephone. The sample stratified geographically, with half of the sample selected from 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 art of the county or the southern part of the county. Using this procedure, approximately 2,500 telephone numbers from the south and approximately 2,500 telephone numbers from the north were drawn. This procedure of random digit dialing ensures that unlisted as well as listed numbers are included the sample. Also, since over 97% of the households in Orange County have telephones, random dialing yields a sample representative of the population 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 numerating the total number of adults in the household and the total number 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, household composition, marital status, household size, and homeownership, the sample is representative of the population of Orange County. Characteristics of the 1982, 1983, and 1984 Orange County Annual Survey samples were also contrasted with the characteristics of the 1985 orange County Annual Survey sample. Marital status, ethnicity, age, sex, and education were closely comparable in the four surveys. The sampling error for this survey is plus or minus three percentage points. This means that if this survey were to be repeated 100 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 subgroup 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 higher.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 92821 (Brea, CA). Interactive charts load automatically as you scroll for improved performance.
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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 2022, the population of Orange County was 1,452,726, a 1.74% increase year-by-year from 2021. Previously, in 2021, Orange County population was 1,427,928, a decline of 0.25% compared to a population of 1,431,573 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Orange County increased by 550,303. In this period, the peak population was 1,452,726 in the year 2022. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Orange County Population by Year. You can refer the same here
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The dataset tabulates the data for the Orange County, CA population pyramid, which represents the Orange County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Orange County Population by Age. You can refer the same here
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This list ranks the 34 cities in the Orange County, CA by Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
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.
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/.
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The dataset tabulates the data for the Orange County, FL population pyramid, which represents the Orange County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Orange County Population by Age. You can refer the same here
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The dataset tabulates the data for the Orange County, VA population pyramid, which represents the Orange County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Orange County Population by Age. You can refer the same here
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The dataset tabulates the population of Orange County by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Orange County across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 50.17% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Orange County Population by Race & Ethnicity. You can refer the same here
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Context
The dataset tabulates the Orange County population by age. The dataset can be utilized to understand the age distribution and demographics of Orange County.
The dataset constitues the following three datasets
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.
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/.
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License information was derived automatically
Context
The dataset tabulates the Orange County population by year. The dataset can be utilized to understand the population trend of Orange County.
The dataset constitues the following datasets
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.
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/.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 38,574, a 1.36% increase year-by-year from 2022. Previously, in 2022, Orange County population was 38,055, an increase of 2.24% compared to a population of 37,220 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Orange County increased by 12,583. In this period, the peak population was 38,574 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Orange County Population by Year. You can refer the same here