Comprehensive demographic dataset for Central City, Santa Ana, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

U.S. Census Bureau QuickFacts statistics for Santa Ana city, 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.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Santa Ana. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Santa Ana, the median income for all workers aged 15 years and older, regardless of work hours, was $36,775 for males and $28,944 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Santa Ana. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Santa Ana.

- Full-time workers, aged 15 years and older: In Santa Ana, among full-time, year-round workers aged 15 years and older, males earned a median income of $47,138, while females earned $43,811, resulting in a 7% gender pay gap among full-time workers. This illustrates that women earn 93 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Santa Ana.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Santa Ana.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Santa Ana median household income by race. You can refer the same here

City of Santa Ana Council Wards adopted April 5, 2022. There are six council wards of equally proportioned population.

This seventeenth Orange County Annual Survey continues to track trends over time in the county's important social, economic and political issues. This year, there is a special focus on understanding the impacts of incresing urbanization and the changing demographics of Orange County. The sample size is 1,000 Orange County adult residents. Online data analysis & additional documentation in Link below. Methods The 1998 Orange County Annual Survey was co-directed by Mark Baldassare, professor at UCI and senior fellow at the Public Policy Institute of California, and Cheryl Katz, research associate. The random telephone survey included interviews with 2,002 Orange County adult residents conducted Sept. 1-13, 1998. We follow the methods used in the 16 previous surveys, with two exceptions. This year, we doubled the sample size of the Orange County Annual Survey, which is usually about 1,000 interviews, so that we could expand our analysis of the Latino and Asian populations. We also conducted interviews in Vietnamese as well as in English and Spanish. Interviewing was conducted on weekend days and weekday nights, using a computer-generated random sample of telephone numbers. Within a household, adult respondents were randomly chosen for interview. Each interview took an average of 20 minutes to complete. The interviewing was conducted in English, Spanish or Vietnamese, as needed. The completion rate was 74 percent. The telephone interviewing was conducted by Interviewing Services of America in Van Nuys, CA. The survey sample was compared with the U.S. Census and state figures by city for Orange County, and was found to represent the actual regional distribution of Orange County residents. The sample's demographic characteristics also were closely comparable to the census and other survey data, including previous Orange County Annual Surveys. The sampling error for this survey is +/2% at the 95% confidence level. This means that 95 times out of 100, the results will be within two percentage points of what they would be if all adults in Orange County were interviewed. The sampling error for any subgroup would be larger. Sampling error is just one type of error to which surveys are subject. Results may also be affected by question wording, ordering, and survey timing. Throughout the report, we refer to two geographic regions. North County includes Anaheim, Orange, Villa Park, La Habra, Brea, Buena Park, Fullerton, Placentia, Yorba Linda, La Palma, Cypress, Los Alamitos, Rossmoor, Seal Beach, Westminster, Midway City, Stanton, Fountain Valley, Huntington Beach, Santa Ana, Garden Grove, Tustin, Tustin Foothills and Costa Mesa. South County includes Newport Beach, Irvine, Lake Forest, Aliso Viejo, Laguna Hills, Laguna Niguel, Mission Viejo, Portola Hills, Rancho Santa Margarita, Foothill Ranch, Coto de Caza, Trabuco Highlands, El Toro Station, Laguna Beach, Dana Point, San Clemente, Capistrano Beach and San Juan Capistrano. In the analysis of questions on the proposed El Toro airport, we include Newport Beach in North County.

The Orange County Survey a collaborative effort of the Public Policy Institute of California and the School of Social Ecology at the University of California, Irvine is a special edition of the PPIC Statewide Survey. This is the first of an annual series of PPIC surveys of Orange County. The purpose of this study is to inform policymakers by providing timely, accurate, and objective information about policy preferences and economic, social, and political trends. The sample size is 2,004 Orange County adult residents.Online data analysis & additional documentation in Link below. Methods The Orange County Survey is a special edition of the PPIC Statewide Survey, which is directed by Mark Baldassare, a senior fellow at the Public Policy Institute of California, with research assistance from Lisa Cole and Eric McGhee. The survey was conducted in collaboration with the School of Social Ecology at the University of California, Irvine; however, the survey methodology and questions and the content of this report were solely determined by Mark Baldassare.The findings of this survey are based on a telephone survey of 2,004 Orange County adult residents interviewed from August 20 to August 31, 2001. Interviewing took place on weekend days and weekday nights, using a computer-generated random sample of telephone numbers, ensuring that both listed and unlisted telephone numbers were called. All telephone exchanges in Orange County were eligible for calling. Telephone numbers in the survey sample were called up to five times to increase the likelihood of reaching eligible households. Once a household was reached, an adult respondent (18 or older) was randomly chosen for interviewing by using the "last birthday method" to avoid biases in age and gender.

Each interview took an average of 20 minutes to complete. Interviewing was conducted in English or Spanish. We used recent U.S. Census and state figures to compare the demographic characteristics of the survey sample with characteristics of Orange County's adult population. The survey sample was closely comparable to the census and state figures.The survey data in this report were statistically weighted to account for any demographic differences.

The sampling error for the total sample of 2,004 adults is +/2 percent at the 95 percent confidence level. This means that 95 times out of 100, the results will be within 2 percentage points of what they would be if all Orange County adults were interviewed. The sampling error for subgroups is larger. Sampling error is just one type of error to which surveys are subject.

Results may also be affected by factors such as question wording, question order, and survey timing.Throughout the report, we refer to two geographic regions. North County refers to cities and communities north of the 55 Freeway, including Anaheim, Orange, Villa Park, La Habra, Brea, Buena Park, Fullerton, Placentia, Yorba Linda, La Palma, Cypress, Los Alamitos, Rossmoor, Seal Beach, Westminster, Midway City, Stanton, Fountain Valley, Huntington Beach, Santa Ana, Garden Grove, Tustin, Tustin Foothills, and Costa Mesa. South County refers to cities and communities south of the 55 Freeway, including Newport Beach, Irvine, Lake Forest, Newport Coast, Aliso Viejo, Laguna Hills, Laguna Niguel, Laguna Woods, Mission Viejo, Portola Hills, Rancho Santa Margarita, Foothill Ranch, Coto de Caza, Trabuco, Laguna Beach, Dana Point, San Clemente, Capistrano Beach, and San Juan Capistrano. In the analysis of questions on the proposed El Toro airport, we include Newport Beach in the North County.

We also present results for non-Hispanic whites (referred to in the tables as "whites"), Latinos, and Asians because each group accounts for a substantial number of the county's adult population. We also contrast the opinions of Democrats and Republicans with "other" or "independent" registered voters. This third category includes those who are registered to vote as "decline to state" as well as a fewer number who say they are members of other political parties.

In some cases, we compare the Orange County Survey responses to responses in the 1982-2000 Orange County Annual Surveys at the University of California, Irvine, the PPIC Statewide Surveys, and national surveys by the University of Michigan and CBS/New York Times.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Santa Anna Police Department (City) in Texas, including incidents, statistics, demographics, and detailed incident information.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in St. Ann: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 373(6.38%) households where the householder is under 25 years old, 1,912(32.71%) households with a householder aged between 25 and 44 years, 2,111(36.11%) households with a householder aged between 45 and 64 years, and 1,450(24.80%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of St. Ann, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 St. Ann median household income by age. You can refer the same here

This 19th Orange County Annual Survey, UCI, continues to monitor social, economic and political trends. The Orange County Consumer Confidence Index now stands at 112, the highest score since the study began tracking this five-question measure in 1986, surpassing the U.S. index, which is at 109. The 2000 survey was conducted May 3-14, 2000, and includes random telephone interviews with 1,005 Orange County adults in English and Spanish.Online data analysis & additional documentation in Link below. Methods The 2000 Orange County Annual Survey was directed by Mark Baldassare, professor and Johnson Chair in Civic Governance at UCI, and Senior Fellow at the Public Policy Institute of California. Cheryl Katz, research associate, was co-director. The random telephone survey included interviews with 1,005 Orange County adult residents conducted May 3-14, 2000. We follow the methods used in the 18 previous surveys.Interviewing was conducted on weekend days and weekday nights, using a computer-generated random sample of telephone numbers. Within a household, adult respondents were randomly chosen for interview. Each interview and took an average of 20 minutes to complete. The interviewing was conducted in English and Spanish as needed. The completion rate was 67%. Telephone interviewing was conducted by Interviewing Services of America in Van Nuys, CA. The sample's demographic characteristics were comparable to data from the U.S. Census, California Department of Finance, and previous Orange County Annual Surveys.The sampling error for this survey is +/3% at the 95% confidence level. This means that 95 times out of 100, the results will be within 3 percentage points of what they would be if all adults in Orange County were interviewed. The sampling error for any subgroup would be larger. Sampling error is just one type of error to which surveys are subject. Results may also be affected by factors such as question wording, ordering, and survey timing.Throughout the report, we refer to two geographic regions. North refers to cities and communities north of the 55 Freeway, including Anaheim, Orange, Villa Park, La Habra, Brea, Buena Park, Fullerton, Placentia, Yorba Linda, La Palma, Cypress, Los Alamitos, Rossmoor, Seal Beach, Westminster, Midway City, Stanton, Fountain Valley, Huntington Beach, Santa Ana, Garden Grove, Tustin, Tustin Foothills and Costa Mesa. South refers to cities and communities south of the 55 Freeway, including Newport Beach, Irvine, Lake Forest, Newport Coast, Aliso Viejo, Laguna Hills, Laguna Niguel, Laguna Woods, Mission Viejo, Portola Hills, Rancho Santa Margarita, Foothill Ranch, Coto de Caza, Trabuco, Laguna Beach, Dana Point, San Clemente, Capistrano Beach and San Juan Capistrano. In the analysis of questions on the proposed El Toro airport, we include Newport Beach in the North County.Some of the questions in this survey are repeated from national surveys conducted by the University of Michigan in 2000, the Pew Research Center in 1999, the Wall Street Journal and NBC News in 1999, CBS News in 1999, Fox News in 2000, and the Gallup Organization in 1999. Questions with California comparisons are repeated from the Public Policy Institute of California's Statewide Surveys in 2000, directed by Mark Baldassare.

This eighteenth Orange County Annual Survey, UCI, continues to monitor social, economic and political trends. The Orange County Consumer Confidence Index now stands at 111, which is the highest score since the survey began tracking this five-question measure in 1986. The Orange County score surpasses the U.S. index, which is at 105. The 1999 survey is conducted September 1-13, and includes random telephone interviews with 1,000 Orange County adults in English and Spanish.Online data analysis & additional documentation in Link below. Methods The 1999 Orange County Annual Survey was directed by Mark Baldassare, professor and Roger W. and Janice M. Johnson Chair in Civic Governance and Public Management at UCI, and Senior Fellow at the Public Policy Institute of California. Cheryl Katz, research associate, was co-director. The random telephone survey included interviews with 1,000 Orange County adult residents conducted September 1 to September 13, 1999. We follow the methods used in the 17 previous surveys. Interviewing was conducted on weekend days and weekday nights, using a computer-generated random sample of telephone numbers. Within a household, adult respondents were randomly chosen for interview. Each interview took an average of 20 minutes to complete. The interviewing was conducted in English and Spanish as needed. The completion rate was 65%. Telephone interviewing was conducted by Interviewing Services of America in Van Nuys, CA. The sample's demographic characteristics were comparable to data from the U.S. Census, California Department of Finance, and previous Orange County Annual Surveys.The sampling error for this survey is +/3% at the 95% confidence level. This means that 95 times out of 100, the results will be within 3 percentage points of what they would be if all adults in Orange County were interviewed. The sampling error for any subgroup would be larger. Sampling error is just one type of error to which surveys are subject. Results may also be affected by factors such as question wording, ordering, and survey timing.Throughout the report, we refer to two geographic regions. North refers to cities and communities north of the 55 Freeway, including Anaheim, Orange, Villa Park, La Habra, Brea, Buena Park, Fullerton, Placentia, Yorba Linda, La Palma, Cypress, Los Alamitos, Rossmoor, Seal Beach, Westminster, Midway City, Stanton, Fountain Valley, Huntington Beach, Santa Ana, Garden Grove, Tustin, Tustin Foothills and Costa Mesa. South refers to cities and communities south of the 55 Freeway, including Newport Beach, Irvine, Lake Forest, Newport Coast, Aliso Viejo, Laguna Hills, Laguna Niguel, Laguna Woods, Mission Viejo, Portola Hills, Rancho Santa Margarita, Foothill Ranch, Coto de Caza, Trabuco, Laguna Beach, Dana Point, San Clemente, Capistrano Beach and San Juan Capistrano. In the analysis of questions on the proposed El Toro airport, we include Newport Beach in the North County. Some of the questions in this survey are repeated from national surveys conducted by the University of Michigan, the Pew Research Center and the American Association of Retired Persons. Questions with state comparisons are repeated from the Public Policy Institute of California's Statewide Surveys, directed by Mark Baldassare.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in St. Ann. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In St. Ann, the median income for all workers aged 15 years and older, regardless of work hours, was $37,597 for males and $32,926 for females.

Based on these incomes, we observe a gender gap percentage of approximately 12%, indicating a significant disparity between the median incomes of males and females in St. Ann. Women, regardless of work hours, still earn 88 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

- Full-time workers, aged 15 years and older: In St. Ann, among full-time, year-round workers aged 15 years and older, males earned a median income of $44,403, while females earned $39,916, resulting in a 10% gender pay gap among full-time workers. This illustrates that women earn 90 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of St. Ann.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in St. Ann, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 St. Ann median household income by race. You can refer the same here

This sixteenth report of the Orange County Annual Survey, UCI, examines several topics of relevance in Orange County. The survey continues to track trends over time in the county's social, economic and political arenas. There is a special focus on the proposed airport, local public schools, charitable behavior and attitudes, and political orientation. The sample size is 1,002 Orange County adult residents.Online data analysis & additional documentation in Link below. Methods The Orange County Annual Survey, UCI, was co-directed by Mark Baldassare, professor and chairof urban and regional planning, and Cheryl Katz, research associate. The random telephone survey included interviews with 1,002 Orange County adult residents between Sept. 4-Sept. 14, 1997. We follow the methods used in the 15 previous surveys. Interviewing was conducted on weekend days and mweekday nights, using a computer-generated random sample of telephone numbers. Within a household, adult respondents were randomly chosen for interviews. Each interview included 66 questions and took an average of 20 minutes to complete. The interviewing was conducted in English and Spanish, as needed. The completion rate for the survey was 66 percent. This rate is consistent with earlier Orange County Annual Surveys. The fieldwork was conducted by Interviewing Services of America of Van Nuys, CA. The survey sample was compared to the U.S. Census and state figures by city for Orange County and was found to represent the actual regional distribution of Orange County residents. The sample's demographic characteristics were also closely comparable to the census and other survey data including previous Orange County Annual Surveys. The sampling error for this survey is +/3 percent at the 95 percent confidence level. This means that 95 times out of 100, the results will be within 3 percentage points of what they would be if all adults in Orange County were interviewed. The sampling error for any subgroup would be larger. Sampling error is just one type of error to which surveys are subject. Results may also be affected by question wording, ordering, and survey timing. Throughout the report, we refer to four geographic regions. North County includes Anaheim, Orange, Villa Park, La Habra, Brea, Buena Park, Fullerton, Placentia and Yorba Linda. West County includes La Palma, Cypress, Los Alamitos, Rossmoor, Seal Beach, Westminster, Midway City, Stanton, Fountain Valley and Huntington Beach. Central County includes Santa Ana, Garden Grove, Tustin, Tustin Foothills and Costa Mesa. South Countyincludes Newport Beach, Irvine, Lake Forest, Aliso Viejo, Laguna Hills, Laguna Niguel, Mission Viejo, Portola Hills, Rancho Santa Margarita, Coto de Caza, Trabuco Highlands, El Toro Station, Laguna Beach, Dana Point, San Clemente and San Juan Capistrano. In the analysis of the questions on the proposed airport, we divide the county into North County and South County, with Newport Beach included in the northern region.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for St. Ann Police Department (City) in Missouri, including incidents, statistics, demographics, and detailed incident information.

Land boundaries for Orange County, cities, and unincorporated areas (based on the five supervisorial districts). Contains additional geodemographic data on population and housing from the US Census 2021 American Community Survey (ACS).