About this dataset

Context

The dataset tabulates the Buffalo town 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 Buffalo town. The dataset can be utilized to understand the population distribution of Buffalo town by age. For example, using this dataset, we can identify the largest age group in Buffalo town.

Key observations

The largest age group in Buffalo Town, Buffalo County, Wisconsin was for the group of age 55 to 59 years years with a population of 97 (12.97%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Buffalo Town, Buffalo County, Wisconsin was the Under 5 years years with a population of 10 (1.34%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Buffalo town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Buffalo town 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 Buffalo town Population by Age. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Buffalo Street cross streets in Michigan City, IN.

About this dataset

Context

The dataset tabulates the data for the Buffalo City, WI population pyramid, which represents the Buffalo City 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Buffalo City, WI, is 16.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Buffalo City, WI, is 46.8.
• Total dependency ratio for Buffalo City, WI is 63.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Buffalo City, WI is 2.1.

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

Variables / Data Columns

• Age Group: This column displays the age group for the Buffalo City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Buffalo City for the selected age group is shown in the following column.
• Population (Female): The female population in the Buffalo City for the selected age group is shown in the following column.
• Total Population: The total population of the Buffalo City for the selected age group is shown in the following column.

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 Buffalo City Population by Age. You can refer the same here

U.S. Census Bureau QuickFacts statistics for Buffalo city, Minnesota. 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.

This dataset provides information about the number of properties, residents, and average property values for Buffalo Street cross streets in Lake City, AR.

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These data were prepared in conjunction with a project using Bureau of Labor Statistics data (not provided with this collection) and the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program data to examine the relationship between unemployment and violent crime. Three separate time-series data files were created as part of this project: a national time series (Part 1), a state time series (Part 2), and a time series of data for 12 selected cities: Baltimore, Buffalo, Chicago, Columbus, Detroit, Houston, Los Angeles, Newark, New York City, Paterson (New Jersey), and Philadelphia (Part 3). Each data file was constructed to include 82 monthly time series: 26 series containing the number of Part I (crime index) offenses known to police (excluding arson) by weapon used, 26 series of the number of offenses cleared by arrest or other exceptional means by weapon used in the offense, 26 series of the number of offenses cleared by arrest or other exceptional means for persons under 18 years of age by weapon used in the offense, a population estimate series, and three date indicator series. For the national and state data, agencies from the 50 states and Washington, DC, were included in the aggregated data file if they reported at least one month of information during the year. In addition, agencies that did not report their own data (and thus had no monthly observations on crime or arrests) were included to make the aggregated population estimate as close to Census estimates as possible. For the city time series, law enforcement agencies with jurisdiction over the 12 central cities were identified and the monthly data were extracted from each UCR annual file for each of the 12 agencies. The national time-series file contains 82 time series, the state file contains 4,083 time series, and the city file contains 963 time series, each with 228 monthly observations per time series. The unit of analysis is the month of observation. Monthly crime and clearance totals are provided for homicide, negligent manslaughter, total rape, forcible rape, attempted forcible rape, total robbery, firearm robbery, knife/cutting instrument robbery, other dangerous weapon robbery, strong-arm robbery, total assault, firearm assault, knife/cutting instrument assault, other dangerous weapon assault, simple nonaggravated assault, assaults with hands/fists/feet, total burglary, burglary with forcible entry, unlawful entry-no force, attempted forcible entry, larceny-theft, motor vehicle theft, auto theft, truck and bus theft, other vehicle theft, and grand total of all actual offenses.

This dataset provides information about the number of properties, residents, and average property values for Buffalo Avenue cross streets in Panorama City, CA.

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South Africa RPPI: MA: Buffalo City data was reported at 103.700 Dec2020=100 in Nov 2024. This records a decrease from the previous number of 104.200 Dec2020=100 for Oct 2024. South Africa RPPI: MA: Buffalo City data is updated monthly, averaging 88.800 Dec2020=100 from Jan 2010 (Median) to Nov 2024, with 179 observations. The data reached an all-time high of 105.200 Dec2020=100 in Jul 2024 and a record low of 61.200 Dec2020=100 in May 2010. South Africa RPPI: MA: Buffalo City data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EB002: Residential Property Price Index: Metropolitan Area: Dec2020=100.

South Africa RPPI: STP: Buffalo City data was reported at 102.800 Dec2020=100 in Nov 2024. This records a decrease from the previous number of 102.900 Dec2020=100 for Oct 2024. South Africa RPPI: STP: Buffalo City data is updated monthly, averaging 87.100 Dec2020=100 from Jan 2010 (Median) to Nov 2024, with 179 observations. The data reached an all-time high of 114.200 Dec2020=100 in Nov 2022 and a record low of 71.200 Dec2020=100 in Nov 2013. South Africa RPPI: STP: Buffalo City data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EB002: Residential Property Price Index: Metropolitan Area: Dec2020=100.

South Africa RPPI: PSFT: Buffalo City data was reported at 84.400 Dec2020=100 in Nov 2024. This records a decrease from the previous number of 84.800 Dec2020=100 for Oct 2024. South Africa RPPI: PSFT: Buffalo City data is updated monthly, averaging 79.300 Dec2020=100 from Jan 2010 (Median) to Nov 2024, with 179 observations. The data reached an all-time high of 101.600 Dec2020=100 in Oct 2020 and a record low of 61.800 Dec2020=100 in Sep 2013. South Africa RPPI: PSFT: Buffalo City data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EB002: Residential Property Price Index: Metropolitan Area: Dec2020=100.

This dataset provides information about the number of properties, residents, and average property values for Buffalo Gap cross streets in Missouri City, TX.

This is a dataset of 311 service requests for the City of Buffalo from July 2008 - May 2024. As of May 2024, a new 311 Service request was created, please visit https://data.buffalony.gov/Quality-of-Life/311-Service-Requests-May-2024-Present-/3tj7-3tdz/about_data

311 is a toll-free number reserved nationwide since 1997 for non-emergency calls to police and other government offices. The City of Buffalo 311 Call and Resolution Center provides citizens with fast, centralized access to city services. Register complaints, get information, and access non-emergency police services.

This dataset provides information about the number of properties, residents, and average property values for Buffalo City Court cross streets in Manns Harbor, NC.

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City of Buffalo parks under the responsibility of the Division of Parks and Recreation. Does not include county/state parks or other public spaces that are privately owned.

About this dataset

Context

The dataset tabulates the Buffalo City population by age. The dataset can be utilized to understand the age distribution and demographics of Buffalo City.

Content

The dataset constitues the following three datasets

• Buffalo City, WI Age Group Population Dataset: A complete breakdown of Buffalo City age demographics from 0 to 85 years, distributed across 18 age groups
• Buffalo City, WI Age Cohorts Dataset: Children, Working Adults, and Seniors in Buffalo City - Population and Percentage Analysis
• Buffalo City, WI Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

This dataset provides information about the number of properties, residents, and average property values for Buffalo Court cross streets in Junction City, KS.