Facebook
TwitterComprehensive demographic dataset for Buena Park, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Buena Park by race. It includes the population of Buena Park across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Buena Park across relevant racial categories.
Key observations
The percent distribution of Buena Park population by race (across all racial categories recognized by the U.S. Census Bureau): 33.26% are white, 2.17% are Black or African American, 1.42% are American Indian and Alaska Native, 32.10% are Asian, 0.35% are Native Hawaiian and other Pacific Islander, 14.61% are some other race and 16.08% are multiracial.
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:
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 Buena Park Population by Race & Ethnicity. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Buena Park 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 Buena Park 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 Buena Park was 81,958, a 0.50% decrease year-by-year from 2022. Previously, in 2022, Buena Park population was 82,366, a decline of 0.79% compared to a population of 83,024 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Buena Park increased by 3,404. In this period, the peak population was 83,859 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. 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 Buena Park Population by Year. You can refer the same here
Facebook
TwitterComprehensive demographic dataset for Baldwin Park, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Facebook
TwitterComprehensive demographic dataset for Buena Park - Moorland Highlands, New Berlin, WI, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Buena Park 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 Buena Park. The dataset can be utilized to understand the population distribution of Buena Park by age. For example, using this dataset, we can identify the largest age group in Buena Park.
Key observations
The largest age group in Buena Park, CA was for the group of age 30-34 years with a population of 7,030 (8.37%), according to the 2021 American Community Survey. At the same time, the smallest age group in Buena Park, CA was the 80-84 years with a population of 1,334 (1.59%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
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 Buena Park Population by Age. You can refer the same here
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Buena Park 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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Buena Park, CA population pyramid, which represents the Buena Park 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 Buena Park Population by Age. You can refer the same here
Facebook
Twitterhttps://www.zip-codes.com/tos-database.asphttps://www.zip-codes.com/tos-database.asp
Demographics, population, housing, income, education, schools, and geography for ZIP Code 90621 (Buena Park, CA). Interactive charts load automatically as you scroll for improved performance.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Buena Park Police Department (City) in California, including incidents, statistics, demographics, and detailed incident information.
Facebook
TwitterComprehensive demographic dataset for Buena Vista Park - Lake View, Fontana - On - Geneva Lake, WI, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Baldwin Park 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.
Facebook
TwitterThe United States Census Bureau reports data by various political and statistical geographic units. The top-to-bottom relationship shown here represents a statistical hierarchy of containment: the nation contains states, states contain counties, counties contain tracts, tracts contain block groups, and block groups contain blocks. Many other non-nesting reporting units are not shown.Census tracts are statistical subdivisions of a county that aim to have roughly 4,000 inhabitants. Tract boundaries are usually visible features, such as roads or rivers, but they can also follow the boundaries of national parks, military reservations, or American Indian reservations. Tracts are designed to be fairly homogeneous with respect to demographic and economic conditions when they are first established. When a census tract experiences growth and the internal population grows beyond 8,000 persons, the tract is split up. This review and revision process is conducted every decade with collaboration from local planning agencies.A block group is a subdivision of a census tract and contains a cluster of blocks. Block groups usually have between 250 and 550 housing units.A census block is the smallest geographic census unit. Blocks can be bounded by visible features—such as streets—or by invisible boundaries, such as city limits. Census blocks are often the same as ordinary city blocks. Census blocks change every decade.You can review the data directly from the US Census here.
Facebook
TwitterThe United States Census Bureau reports data by various political and statistical geographic units. The top-to-bottom relationship shown here represents a statistical hierarchy of containment: the nation contains states, states contain counties, counties contain tracts, tracts contain block groups, and block groups contain blocks. Many other non-nesting reporting units are not shown.Census tracts are statistical subdivisions of a county that aim to have roughly 4,000 inhabitants. Tract boundaries are usually visible features, such as roads or rivers, but they can also follow the boundaries of national parks, military reservations, or American Indian reservations. Tracts are designed to be fairly homogeneous with respect to demographic and economic conditions when they are first established. When a census tract experiences growth and the internal population grows beyond 8,000 persons, the tract is split up. This review and revision process is conducted every decade with collaboration from local planning agencies.A block group is a subdivision of a census tract and contains a cluster of blocks. Block groups usually have between 250 and 550 housing units.A census block is the smallest geographic census unit. Blocks can be bounded by visible features—such as streets—or by invisible boundaries, such as city limits. Census blocks are often the same as ordinary city blocks. Census blocks change every decade.You can review the data directly from the US Census here.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Delhi CDP, 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.
Facebook
TwitterThe United States Census Bureau reports data by various political and statistical geographic units. The top-to-bottom relationship shown here represents a statistical hierarchy of containment: the nation contains states, states contain counties, counties contain tracts, tracts contain block groups, and block groups contain blocks. Many other non-nesting reporting units are not shown.Census tracts are statistical subdivisions of a county that aim to have roughly 4,000 inhabitants. Tract boundaries are usually visible features, such as roads or rivers, but they can also follow the boundaries of national parks, military reservations, or American Indian reservations. Tracts are designed to be fairly homogeneous with respect to demographic and economic conditions when they are first established. When a census tract experiences growth and the internal population grows beyond 8,000 persons, the tract is split up. This review and revision process is conducted every decade with collaboration from local planning agencies.A block group is a subdivision of a census tract and contains a cluster of blocks. Block groups usually have between 250 and 550 housing units.A census block is the smallest geographic census unit. Blocks can be bounded by visible features—such as streets—or by invisible boundaries, such as city limits. Census blocks are often the same as ordinary city blocks. Census blocks change every decade.You can review the data directly from the US Census here.The US Housing and Urban Development (HUD) department maintains the Community Development Block Grant (CDBG) program. The CDBG Program supports community development activities to build stronger and more resilient communities. To support community development, activities are identified through an ongoing process. Activities may address needs such as infrastructure, economic development projects, public facilities installation, community centers, housing rehabilitation, public services, clearance/acquisition, microenterprise assistance, code enforcement, homeowner assistance, etc. This data set shows which block groups in and around Buena Park are eligible for CDBG funding. You can obtain CDBG data for the entire US on the HUD Exchange website.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Covina 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.
Facebook
Twitterhttps://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
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.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Baldwin Park Police Department (City) in California, including incidents, statistics, demographics, and detailed incident information.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Buena Park population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Buena Park.
The dataset constitues the following two datasets across these two themes
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/.
Facebook
TwitterComprehensive demographic dataset for Buena Park, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.