4 datasets found
  1. American Time Use Survey: Daily Activities

    • kaggle.com
    zip
    Updated Dec 12, 2023
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    The Devastator (2023). American Time Use Survey: Daily Activities [Dataset]. https://www.kaggle.com/datasets/thedevastator/american-time-use-survey-daily-activities
    Explore at:
    zip(17763 bytes)Available download formats
    Dataset updated
    Dec 12, 2023
    Authors
    The Devastator
    Description

    American Time Use Survey: Daily Activities

    Americans' Daily Activities: Education, Employment, Gender, and Leisure Time

    By Throwback Thursday [source]

    About this dataset

    The American Time Use Survey dataset provides comprehensive information on how individuals in America allocate their time throughout the day. It includes various aspects of daily activities such as education level, age, employment status, gender, number of children, weekly earnings and hours worked. The dataset also includes data on specific activities individuals engage in like sleeping, grooming, housework, food and drink preparation, caring for children, playing with children, job searching, shopping and eating and drinking. Additionally it captures time spent on leisure activities like socializing and relaxing as well as engaging in specific hobbies such as watching television or golfing. The dataset also records the amount of time spent volunteering or running for exercise purposes.

    Each entry is organized based on categorical variables such as education level (ranging from lower levels to higher degrees), age (capturing different age brackets), employment status (including employed full-time or part-time), gender (male or female) and the number of children an individual has. Furthermore it provides information regarding an individual's weekly earnings and hours worked.

    This extensive dataset aims to provide insights into how Americans prioritize their time across various aspects of their lives. Whether it be focusing on work-related tasks or indulging in recreational activities,it offers a comprehensive look at the allocation of time among different demographic groups within American society.

    This dataset can be used for understanding trends in daily activity patterns across demographics groups over multiple years without directly referencing specific dates

    How to use the dataset

    How to use this dataset: American Time Use Survey - Daily Activities

    Welcome to the American Time Use Survey dataset! This dataset provides valuable information on how Americans spend their time on a daily basis. Here's a guide on how to effectively utilize this dataset for your analysis:

    • Familiarize yourself with the columns:

      • Education Level: The level of education attained by the individual.
      • Age: The age of the individual.
      • Age Range: The age range the individual falls into.
      • Employment Status: The employment status of the individual.
      • Gender: The gender of the individual.
      • Children: The number of children that an individual has.
      • Weekly Earnings: The amount of money earned by an individual on a weekly basis.
      • Year: The year in which the data was collected.
      • Weekly Hours Worked: The number of hours worked by an individual on a weekly basis.
    • Identify variables related to daily activities: This dataset provides information about various daily activities undertaken by individuals. Some important variables related to daily activities include:

      • Sleeping
      • Grooming
      • Housework
      • Food & Drink Prep
      • Caring for Children
      • Playing with Children
      • Job Searching …and many more!
    • Analyze time spent on different activities: This dataset includes numerical values representing time spent in minutes for specific activities such as sleeping, grooming, housework, food and drink preparation, etc. You can use this data to analyze and compare how different groups of individuals allocate their time throughout the day.

    • Explore demographic factors: In addition to daily activities, this dataset also includes columns such as education level, age range, employment status, gender, and number of children. You can cross-reference these demographic factors with activity data to gain insights into how different population subgroups spend their time differently.

    • Identify trends and patterns: You can use this dataset to identify trends and patterns in how Americans allocate their time over the years. By analyzing data from different years, you may discover changes in certain activities and how they relate to demographic factors or societal shifts.

    • Visualize the data: Creating visualizations such as bar graphs, line plots, or pie charts can provide a clear representation of how time is allocated for different activities among various groups of individuals. Visualizations help in understanding the distribution of time spent on different activities and identifying any significant differences or similarities across demographics.

    Remember that each column represents a specific variable, whi...

  2. N

    Black, AL Age Cohorts Dataset: Children, Working Adults, and Seniors in...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Black, AL Age Cohorts Dataset: Children, Working Adults, and Seniors in Black - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/black-al-population-by-age/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Black, Alabama
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Black 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 Black. 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 214 (46.32% 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 Black population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Black is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Black 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 Black Population by Age. You can refer the same here

  3. N

    Donaldson, MN Age Cohorts Dataset: Children, Working Adults, and Seniors in...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2025). Donaldson, MN Age Cohorts Dataset: Children, Working Adults, and Seniors in Donaldson - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/donaldson-mn-population-by-age/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Donaldson, Minnesota
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Donaldson 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 Donaldson. 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 65 years and over with a poulation of 4 (100% 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 Donaldson population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Donaldson is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Donaldson 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 Donaldson Population by Age. You can refer the same here

  4. N

    Loveland, OK Age Cohorts Dataset: Children, Working Adults, and Seniors in...

    • neilsberg.com
    csv, json
    Updated Sep 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2023). Loveland, OK Age Cohorts Dataset: Children, Working Adults, and Seniors in Loveland - Population and Percentage Analysis [Dataset]. https://www.neilsberg.com/research/datasets/60f6b592-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Sep 16, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Oklahoma, Loveland
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Loveland 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 Loveland. 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 4 (66.67% 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 Loveland population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Loveland is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Loveland 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 Loveland Population by Age. You can refer the same here

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
The Devastator (2023). American Time Use Survey: Daily Activities [Dataset]. https://www.kaggle.com/datasets/thedevastator/american-time-use-survey-daily-activities
Organization logo

American Time Use Survey: Daily Activities

Americans' Daily Activities: Education, Employment, Gender, and Leisure Time

Explore at:
zip(17763 bytes)Available download formats
Dataset updated
Dec 12, 2023
Authors
The Devastator
Description

American Time Use Survey: Daily Activities

Americans' Daily Activities: Education, Employment, Gender, and Leisure Time

By Throwback Thursday [source]

About this dataset

The American Time Use Survey dataset provides comprehensive information on how individuals in America allocate their time throughout the day. It includes various aspects of daily activities such as education level, age, employment status, gender, number of children, weekly earnings and hours worked. The dataset also includes data on specific activities individuals engage in like sleeping, grooming, housework, food and drink preparation, caring for children, playing with children, job searching, shopping and eating and drinking. Additionally it captures time spent on leisure activities like socializing and relaxing as well as engaging in specific hobbies such as watching television or golfing. The dataset also records the amount of time spent volunteering or running for exercise purposes.

Each entry is organized based on categorical variables such as education level (ranging from lower levels to higher degrees), age (capturing different age brackets), employment status (including employed full-time or part-time), gender (male or female) and the number of children an individual has. Furthermore it provides information regarding an individual's weekly earnings and hours worked.

This extensive dataset aims to provide insights into how Americans prioritize their time across various aspects of their lives. Whether it be focusing on work-related tasks or indulging in recreational activities,it offers a comprehensive look at the allocation of time among different demographic groups within American society.

This dataset can be used for understanding trends in daily activity patterns across demographics groups over multiple years without directly referencing specific dates

How to use the dataset

How to use this dataset: American Time Use Survey - Daily Activities

Welcome to the American Time Use Survey dataset! This dataset provides valuable information on how Americans spend their time on a daily basis. Here's a guide on how to effectively utilize this dataset for your analysis:

  • Familiarize yourself with the columns:

    • Education Level: The level of education attained by the individual.
    • Age: The age of the individual.
    • Age Range: The age range the individual falls into.
    • Employment Status: The employment status of the individual.
    • Gender: The gender of the individual.
    • Children: The number of children that an individual has.
    • Weekly Earnings: The amount of money earned by an individual on a weekly basis.
    • Year: The year in which the data was collected.
    • Weekly Hours Worked: The number of hours worked by an individual on a weekly basis.
  • Identify variables related to daily activities: This dataset provides information about various daily activities undertaken by individuals. Some important variables related to daily activities include:

    • Sleeping
    • Grooming
    • Housework
    • Food & Drink Prep
    • Caring for Children
    • Playing with Children
    • Job Searching …and many more!
  • Analyze time spent on different activities: This dataset includes numerical values representing time spent in minutes for specific activities such as sleeping, grooming, housework, food and drink preparation, etc. You can use this data to analyze and compare how different groups of individuals allocate their time throughout the day.

  • Explore demographic factors: In addition to daily activities, this dataset also includes columns such as education level, age range, employment status, gender, and number of children. You can cross-reference these demographic factors with activity data to gain insights into how different population subgroups spend their time differently.

  • Identify trends and patterns: You can use this dataset to identify trends and patterns in how Americans allocate their time over the years. By analyzing data from different years, you may discover changes in certain activities and how they relate to demographic factors or societal shifts.

  • Visualize the data: Creating visualizations such as bar graphs, line plots, or pie charts can provide a clear representation of how time is allocated for different activities among various groups of individuals. Visualizations help in understanding the distribution of time spent on different activities and identifying any significant differences or similarities across demographics.

Remember that each column represents a specific variable, whi...

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