LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The LiDAR systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. The ta...

About this dataset

Context

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

Key observations

The largest age group in Garden City, KS was for the group of age 5-9 years with a population of 2,559 (9.13%), according to the 2021 American Community Survey. At the same time, the smallest age group in Garden City, KS was the 75-79 years with a population of 340 (1.21%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Garden City is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Garden City 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 Garden City Population by Age. You can refer the same here

Since 1971, a national drug habit survey has been conducted among Swedish ninth graders. From 2004, annual survey are also being conducted among students in the second year of high school. The Swedish Council for Information on Alcohol and Other Drugs (CAN) are responsible for the annual survey since 1986. CAN is a non-governmental organization and their main tasks are to follow the drug trends in Sweden and to inform the public and educate professionals on alcohol and other drugs. The results from the survey are published in a report called “Skolelevers drogvanor” (Alcohol and Drug Use Among Students). CAN also conduct regional and local school surveys upon requests from municipalities and regions. Purpose: The aim of the study is primarily to describe the development of drug habits and to study the differences between various groups. The survey in 2003 was answered by 5,226 students in ninth grade (2,667 boys and 2,559 girls), which represented a response rate of 86 % in total. Data from this years survey is electronically accessible. Sedan 1971 har det genomförts nationella drogvaneundersökningar bland Sveriges niondeklassare. Från och med 2004 görs årliga undersökningar även bland elever i årskurs två på gymnasiet. Ansvaret för dessa årliga undersökningar ligger sedan 1986 hos Centralförbundet för alkohol- och narkotikaupplysning, CAN. Från 2001 har undersökningarna genomförts på direkt uppdrag av Socialdepartementet. Data i digital form finns endast tillgängliga från och med 1989 års insamling. Bland annat belyser undersökningarna utvecklingen av ungdomars drogvanor över tid och visar på skillnader mellan exempelvis kön och regioner. Utöver detta genererar den insamlade informationen goda möjligheter att göra mera detaljerade analyser av konsumtionsmönster, samband mellan droganvändning och risk- samt skyddsfaktorer etc. Undersökningarna genomförs som lärarövervakade anonyma gruppenkäter i klassrummen under skrivningsliknande former och eleverna deltar anonymt. Omkring 15-20% av de 300 slumpvis utvalda klasserna deltar ej i studien, och bortfallet på individnivå i form av frånvarande elever är av ungefär samma storlek. Resultat för enskilda klasser eller skolor redovisas aldrig i de nationella studierna. Undersökningarna presenteras dels i de årliga rapporterna Skolelevers drogvanor, men även i kortare mera tematiska specialrapporter. CAN genomför även lokala och regionala undersökningar på uppdrag av kommuner och landsting. Syfte: Undersökningens syfte är i första hand att belysa utvecklingen av drogvanorna och att studera skillnader mellan olika grupper. Vid undersökningen som genomfördes 2003 besvarades enkäten av totalt 5226 elever i årskurs 9, varav 2667 var pojkar och 2559 var flickor. Svarsfrekvensen motsvarade totalt 86 %. Data från denna insamling finns i elektronisk form. Urvalet dras med ett s.k. Pareto πps-urval. Urvalsdesignen innebär att ett objekts sannolikhet att komma med i urvalet är proportionell mot ett förutbestämt storleksmått. Probability: Cluster Sannolikhetsurval: klusterurval Probability: Simple random Sannolikhetsurval: obundet slumpmässigt urval Probability Sannolikhetsurval Self-administered questionnaire Självadministrerat frågeformulär Alcohol Drinking Alkoholkonsumtion Analgesics Befolkningskarakter... Behavior Behavior and Behavi... Behavioral Discipli... Behavioral Sciences Beteende Beteende och beteen... Beteendevetenskap Beteendevetenskapli... Blomväxter CNS aktiva medel CNS depressiva medel Central Nervous Sys... Central Nervous Sys... Chemical Actions an... Disruptive Drinking Behavior Dryckesbeteende Embryophyta Eukaryota Familj Family Farmakologisk verkan Fysiologiska effekt... Gambling Gröna växter HEALTH Health Health Sciences HÄLSA Hälsa Hälsovetenskap Impulse Control Industry Kemisk verkan och a... Kärlväxter Magnoliopsida Manufactured Materials Medel som påverkar ... Medical and Health ... Medicin och hälsove... Mental Disorders Narcotics Narkotika Perifera nervsystemet Peripheral Nervous ... Pharmacologic Actions Physiological Effec... Plants Population Characte... Potatisordningen Problem Psychology Psykiska störningar Psykologi Risk Taking Risktagande Rökfri tobak Rökning Röktillbehör Samhällsvetenskap Sensory System Agents Smokeless Smoking Smoking Devices Smärtstillande medel Social Social Sciences Socialpsykologi Sociologi Sociological Factors Sociologiska faktorer Sociology Solanaceae Solanales Spelberoende Streptophyta Technology Teknologi inom indu... Terapeutisk användning Therapeutic Uses Tillverkade material Tobacco Tobacco Products Tobak Tobaksprodukter Tracheophyta Viridiplantae Växter and Agriculture and Conduct Disorders drug offences drug possession education educational institu... educational systems... fritid illegal drog illegal drugs impulskontroll och ... lagöverträdelser leisure time medel verkande på narkotikabrott narkotikainnehav offences schools skolor tid time utbildning utbildningsinstitut... utbildningssystem o...

Abstract

The Service Delivery Indicators (SDI) are a set of health and education indicators that examine the effort and ability of staff and the availability of key inputs and resources that contribute to a functioning school or health facility. The indicators are standardized, allowing comparison between and within countries over time.

The Health SDIs include healthcare provider effort, knowledge and ability, and the availability of key inputs (for example, basic equipment, medicines and infrastructure, such as toilets and electricity). The indicators provide a snapshot of the health facility and assess the availability of key resources for providing high quality care.

The Nigeria SDI Health survey team visited a sample of 2,385 health facilities across Nigeria between July 2013 and January 2014. The survey team collected rosters covering 21,318 workers for absenteeism and assessed 5,017 health workers for competence using patient case simulations. The data is representative at the state level. The sample included 12 of 36 states in Nigeria due to logistical constraints.

Geographic coverage

Twelve states of Nigeria (Anambra, Bauchi, Bayelsa, Cross River, Ekiti, Imo, Kaduna, Kebbi, Kogi, Niger, Osun and Taraba)

Analysis unit

Health facilities and healthcare providers

Universe

All health facilities providing primary-level care in these twelve states.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy for SDI surveys is designed towards attaining indicators that are accurate and representative at the national level, as this allows for proper cross-country (i.e. international benchmarking) and across time comparisons, when applicable. In addition, other levels of representativeness are sought to allow for further disaggregation (rural/urban areas, public/private facilities, subregions, etc.) during the analysis stage.

The sampling strategy for SDI surveys follows a multistage sampling approach. The main units of analysis are facilities (schools and health centers) and providers (health and education workers: teachers, doctors, nurses, facility managers, etc.). The multi-stage sampling approach makes sampling procedures more practical by dividing the selection of large populations of sampling units in a step-by-step fashion. After defining the sampling frame and categorizing it by stratum, a first stage selection of sampling units is carried out independently within each stratum. Often, the primary sampling units (PSU) for this stage are cluster locations (e.g. districts, communities, counties, neighborhoods, etc.) which are randomly drawn within each stratum with a probability proportional to the size (PPS) of the cluster (measured by the location’s number of facilities, providers or pupils). Once locations are selected, a second stage takes place by randomly selecting facilities within location (either with equal probability or with PPS) as secondary sampling units. At a third stage, a fixed number of health and education workers and pupils are randomly selected within facilities to provide information for the different questionnaire modules.

Detailed information about the specific sampling process is available in the associated SDI Country Report included as part of the documentation that accompany these datasets.

Sampling deviation

The sample in Nigeria is not nationally representative, including 12 of 36 states.

Mode of data collection

Face-to-face [f2f]

Research instrument

The SDI Health Survey Questionnaire consists of four modules and weights:

Module 1: General Information - Administered to the health facility manager to collect information on equipment, medicines, infrastructure and other facets of the health facility.

Module 2: Provider Absence - A roster of healthcare providers is collected and absence measured.

Module 3: Clinical Vignettes – A selection of providers are given clinical vignettes to measure knowledge of common medical conditions.

Module 4: Facility finances – Information on facility revenue and expenditures is collected from the health facility manager.

Weights: Weights for facilities, absentee-related analyses and clinical vignette analyses.

Cleaning operations

Quality control was performed in Stata.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (2,676) | Female # 60-64 years (2,559). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

Abstract copyright UK Data Service and data collection copyright owner.

The aim of the Young People and Gambling Survey is to explore young people’s attitudes towards gambling and their participation in different types of gambling activities, designed to provide a means of tracking these perceptions and behaviours over time. The survey looks at those forms of gambling and gambling style games that children and young people legally take part in along with gambling on age restricted products.

The 2022 research was conducted using Ipsos MORI's Young People Omnibus, a representative online survey of pupils attending academies and maintained schools in England, Scotland and Wales (excluding fee-paying and other establishments covering 11-16 year olds). In total 2,559 11-16 year olds participated in the research across 60 schools. Data have been weighted to the known profile of the population, in order to provide a representative sample.

Main Topics:

The following topics are covered:

• experience of gambling
• impact of gambling on young people
• online gambling
• National Lottery play
• games and gaming machines
• other activities and risk taking
• exposure to gambling advertising
• attitudes towards and exposure to gambling

About this dataset

Context

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

Key observations

The largest age group in Berkeley County, SC was for the group of age 30 to 34 years years with a population of 16,926 (7.31%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Berkeley County, SC was the 85 years and over years with a population of 2,559 (1.11%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Berkeley County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Berkeley County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

URL: https://geoscience.data.qld.gov.au/dataset/bh010036

About this dataset

Context

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

Key observations

The largest age group in Helena, MT was for the group of age 35-39 years with a population of 2,559 (7.98%), according to the 2021 American Community Survey. At the same time, the smallest age group in Helena, MT was the 85+ years with a population of 795 (2.48%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Helena is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Helena 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 Helena Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (2,658) | Female # 30-34 years (2,559). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

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

Scope of gender :

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

About this dataset

Context

The dataset tabulates the Strafford town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Strafford town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 - 64 years with a poulation of 2,559 (60.48% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Strafford town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Strafford town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Strafford town 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 Strafford town Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Sharpsburg, the largest racial group is White alone with a population of 2,559 (84.88% of the total Non-Hispanic population).

Content

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

Racial categories include:

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Horizon City: 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 41(0.59%) households where the householder is under 25 years old, 3,772(54.73%) households with a householder aged between 25 and 44 years, 2,559(37.13%) households with a householder aged between 45 and 64 years, and 520(7.54%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Horizon City, 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) 2019-2023 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 Horizon City median household income by age. You can refer the same here

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Mountain View, the largest racial group is White alone with a population of 2,559 (97.26% of the total Non-Hispanic population).

Content

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

Racial categories include:

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in North Barrington, the largest racial group is White alone with a population of 2,559 (85.16% of the total Non-Hispanic population).

Content

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

Racial categories include:

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Peoria: 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 2,559(3.47%) households where the householder is under 25 years old, 21,652(29.38%) households with a householder aged between 25 and 44 years, 28,219(38.29%) households with a householder aged between 45 and 64 years, and 21,270(28.86%) households where the householder is over 65 years old.
• In Peoria, the age group of 45 to 64 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-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 Peoria median household income by age. You can refer the same here

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Kent town, the largest racial group is White alone with a population of 2,559 (91.13% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/kent-ct-population-by-race-and-ethnicity.jpeg" alt="Kent town Non-Hispanic population by race">

Content

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

Racial categories include:

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

About this dataset

Context

The dataset tabulates the Arcade town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Arcade town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 2,559 (60.93% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Arcade town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Arcade town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Arcade town 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 Arcade town Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

The largest age group in Laredo, TX was for the group of age 10 to 14 years years with a population of 23,256 (9.09%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Laredo, TX was the 80 to 84 years years with a population of 2,559 (1%). 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 Laredo is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Laredo 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 Laredo Population by Age. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Grenada County: 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 190(2.20%) households where the householder is under 25 years old, 2,573(29.81%) households with a householder aged between 25 and 44 years, 3,309(38.34%) households with a householder aged between 45 and 64 years, and 2,559(29.65%) households where the householder is over 65 years old.
• In Grenada County, the age group of 45 to 64 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

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 Grenada County median household income by age. You can refer the same here