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US Education, Finance, Industry Census Data

Data Science and Analytics

Tags and Keywords

Education

Finance

Industry

Demographics

Population

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US Education, Finance, Industry Census Data Dataset on Opendatabay data marketplace

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About

This dataset provides a detailed look into U.S. demographics at the Congressional District level, covering Education, Finance, and Industry for the years 2019 to 2021. It offers crucial insights into population distribution based on various industrial types, salary brackets, and educational attainment levels. Originating from zip code level data, this aggregated resource enables a deeper understanding of socio-economic characteristics across different U.S. districts, facilitating targeted analysis and informed decision-making.

Columns

The 'Educationv.csv' sample dataset includes the following columns:
  • Year: Indicates the specific year the demographic data pertains to, ranging from 2020 to 2021.
  • cd: Represents the unique identifier for each U.S. Congressional District.
  • Bachelors_degree_or_higher: Denotes the estimated population within a Congressional District holding a bachelor's degree or a higher academic qualification.
  • high_school_or_some_degree: Shows the estimated population having achieved a high school diploma or some form of higher education without necessarily completing a bachelor's degree.
  • Less_than_high_school_graduate: Details the estimated population who have not attained a high school diploma.

Distribution

The dataset is provided in a tabular data format, typically a CSV file. The original raw data, from which this district-level data is derived, consists of multiple files at the U.S. zip code level:
  • Industry data includes three files (for 2019, 2020, 2021), each containing 33,120 rows and 542 columns.
  • Finance data also consists of three files (for 2019, 2020, 2021), each with 33,120 rows and 1,106 columns.
  • Education data comprises two files (for 2020, 2021), each with 33,120 rows and 1,106 columns.
After processing and aggregation to the Congressional District level, the 'Educationv.csv' file, for example, contains 874 valid records.

Usage

This dataset is an ideal resource for:
  • Socio-economic research: Analysing trends in education, employment, and income across U.S. Congressional Districts.
  • Policy formulation: Informing public policy related to education, economic development, and workforce planning.
  • Market analysis: Identifying areas with specific demographic profiles for business targeting and strategic planning.
  • Urban planning: Understanding population characteristics to support infrastructure development and community services.
  • Academic studies: Providing raw data for academic research on U.S. demographic shifts and their impacts.

Coverage

  • Geographic Scope: The dataset covers U.S. Congressional Districts, having been aggregated from zip code level data.
  • Time Range: It provides data for the years 2019, 2020, and 2021 for Industry and Finance, and for 2020 and 2021 for Education.
  • Demographic Scope: Includes estimated populations by various industrial types (with male and female breakdowns), salary brackets, and age groups with specific education levels.

License

CC0: Public Domain

Who Can Use It

This dataset is valuable for:
  • Researchers and Academics: For detailed demographic and socio-economic studies.
  • Government Agencies: For policy development, resource allocation, and understanding population needs.
  • Businesses and Consultants: For market segmentation, site selection, and strategic planning.
  • Non-profit Organisations: To identify areas requiring social programmes or educational initiatives.
  • Data Scientists and Analysts: For building models, visualisations, and predictive analytics related to U.S. demographics.

Dataset Name Suggestions

  • U.S. Congressional District Demographics (2019-2021)
  • US Education, Finance, Industry Census Data
  • United States District Socio-Economic Indicators
  • US Population Education & Employment Trends
  • Congressional District Human Capital Statistics

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

22/08/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format