Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.

About this dataset

Context

The dataset tabulates the Day 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 Day 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 500 (59.45% 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 Day town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Day town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Day 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 Day town Population by Age. You can refer the same here

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

About this dataset

Context

The dataset tabulates the Day 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 Day 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 651 (52.16% 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 Day town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Day town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Day 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 Day town Population by Age. You can refer the same here

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• John Day, OR Age Group Population Dataset: A complete breakdown of John Day age demographics from 0 to 85 years, distributed across 18 age groups
• John Day, OR Age Cohorts Dataset: Children, Working Adults, and Seniors in John Day - Population and Percentage Analysis
• John Day, OR 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/.

Abstract (en): The Monitoring the Future (MTF) project is a long-term epidemiologic and etiologic study of substance use among the nation's youth and adults. It is conducted at the University of Michigan Institute for Social Research, funded by a series of investigator-initiated research grants from the National Institute on Drug Abuse. From its inception in 1975, the project has collected data annually from nationally representative samples of 13,000-19,000 high school seniors, located in approximately 135 schools nationwide (i.e. cross-sectional data). Beginning in 1991, similar surveys of nationally representative samples of 8th and 10th graders have been conducted annually. In all, approximately 45,000 students annually respond to about 100 drug use and demographic questions, as well as to about 200 additional questions divided among multiple forms on other topics such as attitudes toward government, social institutions, race relations, changing gender roles, educational aspirations, occupational aims, and marital plans. The MTF project also includes a longitudinal panel study component. Beginning with the class of 1976, biennial follow-up mail surveys have been conducted with representative subsamples of respondents from each senior year class, spanning modal ages 19 to 30. From each senior year cohort, a sample of about 2,450 students are selected for longitudinal follow-up. The sample is randomly split into two halves (approx. 1,225 each) to be followed every other year. One half-sample begins its first follow-up the next year at modal age 19, and the other half-sample begins its first follow-up in the second year at modal age 20. The follow-ups continue such that the modal ages are as follows: FU1=19/20, FU2=21/22, FU3=23/24, FU4=25/26, FU5=27/28, FU6=29/30. Respondents receive the same survey form for follow-up as they completed at base year. More information about the MTF project can be accessed through the Monitoring the Future website - including the purpose, design, sampling procedures, and questionnaire administration; selected data tables and figures; a listing of publications and press releases; information about the research investigators; and links to related websites. Response Rates: For information regarding response rates, users should refer to the summary information in Appendix A of the MTF Restricted Panel Data User's Guide. Datasets:DS1: Dataset Young adult follow-up of the U.S. high school seniors in MTF in the year of the baseline interview. The nationally-representative base year cohort sample (i.e. each high school senior class) was selected using a multistage area probability sample design involving three selection stages: (1) geographic areas or primary sampling units (PSUs), (2) schools (or linked groups of schools) within PSUs, and (3) students within sampled schools. Participants were randomly divided into two groups for biennial follow-up. For longitudinal follow-up, each year, 2,450 respondents to the 12th grade survey were selected. The panel sample was selected within school by form and gender, and each base-year school was required to have a minimum of two follow-up selections (individuals). The base year sampling weight was factored into the targeted sample size for each school/form/gender combination. An illicit drug user/nonuser stratification was created, based on responses to nine base year questions about 30-day drug use. (An individual was considered a "user" if they reported any use of LSD, hallucinogens other than LSD, cocaine, amphetamines, sedatives/barbiturates, tranquilizers, heroin, or narcotics other than heroin, or used marijuana 20 or more times in the past 30 days.) Illicit drug users were sampled at a 3-to-1 rate relative to non-users. Please see the MTF Restricted Panel Data User's Guide for additional sampling details. 2018-05-11 Collection was updated to correct error in documentation. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (DA001411, DA016575). mail questionnaire on-site questionnaire

About this dataset

Context

The dataset tabulates the Day township 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 Day township. 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 657 (57.08% 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 Day township population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Day township is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Day township 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 Day township Population by Age. You can refer the same here

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• Day County, SD Age Group Population Dataset: A complete breakdown of Day County age demographics from 0 to 85 years, distributed across 18 age groups
• Day County, SD Age Cohorts Dataset: Children, Working Adults, and Seniors in Day County - Population and Percentage Analysis
• Day County, SD 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/.