US State Education Analysis for Tech Product Launch

About This Dataset

This comprehensive dataset provides detailed educational attainment and demographic analysis across all 50 US states from 2021-2023, specifically designed for tech companies planning strategic market entry and product launch decisions.

Dataset Overview

• 150 rows of data (50 states × 3 years)
• 17 columns of educational, demographic, and economic indicators
• Complete coverage of all US states from 2021-2023
• Ready-to-analyze format with calculated percentages and rankings

Key Features

🎯 Strategic Market Intelligence

• Educational attainment levels by degree type (Bachelor's, Master's, Professional, Doctoral)
• Calculated education scores and state rankings for quick market prioritization
• Median household income data for purchasing power assessment

📊 Comprehensive Demographics

• Population data for adults 25+ (primary tech consumer demographic)
• Household count data for market sizing
• College graduate percentages for targeted marketing

🔢 Advanced Analytics Ready

• Pre-calculated composite education scores
• State rankings based on education levels
• Percentage breakdowns for immediate insights

Column Definitions

Use Cases

🚀 Tech Product Launches

• Identify states with highest concentrations of educated early adopters
• Prioritize markets based on education levels and income
• Size potential customer segments by state

📈 Market Research & Analysis

• Compare educational demographics across regions
• Analyze trends in educational attainment over time
• Correlate education levels with income potential

🎯 Customer Segmentation

• Target high-value customer segments (graduate degree holders)
• Develop region-specific marketing strategies
• Plan B2B tech sales territories

📊 Business Intelligence

• Regional expansion planning
• Competitive market analysis
• Investment and resource allocation decisions

Data Quality & Sources

• Primary Sources: US Census Bureau American Community Survey (ACS), Bureau of Labor Statistics
• Data Validation: Cross-referenced against multiple official sources
• Calculation Methodology: All percentages and scores calculated using consistent formulas
• Update Frequency: Annual updates as new official data becomes available

Sample Insights

The dataset reveals that Massachusetts consistently ranks #1 in education metrics with: - 47.78% college graduation rate (2023) - 22.42% graduate degree holders - $99,858 median household income - Education score of 28.76

Perfect for identifying premium tech markets and highly-educated consumer bases for sophisticated technology products.

This dataset is ideal for data scientists, market researchers, business analysts, and tech companies looking to make data-driven decisions about market entry, customer targeting, and regional strategy.

Comprehensive demographic dataset for San Diego, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

US Broadband Usage Across Counties

Utilizing Microsoft's Data to Estimate Access

By Amber Thomas [source]

About this dataset

This dataset provides an estimation of broadband usage in the United States, focusing on how many people have access to broadband and how many are actually using it at broadband speeds. Through data collected by Microsoft from our services, including package size and total time of download, we can estimate the throughput speed of devices connecting to the internet across zip codes and counties.

According to Federal Communications Commission (FCC) estimates, 14.5 million people don't have access to any kind of broadband connection. This data set aims to address this contrast between those with estimated availability but no actual use by providing more accurate usage numbers downscaled to county and zip code levels. Who gets counted as having access is vastly important -- it determines who gets included in public funding opportunities dedicated solely toward closing this digital divide gap. The implications can be huge: millions around this country could remain invisible if these number aren't accurately reported or used properly in decision-making processes.

This dataset includes aggregated information about these locations with less than 20 devices for increased accuracy when estimating Broadband Usage in the United States-- allowing others to use it for developing solutions that improve internet access or label problem areas accurately where no real or reliable connectivity exists among citizens within communities large and small throughout the US mainland.. Please review the license terms before using these data so that you may adhere appropriately with stipulations set forth under Microsoft's Open Use Of Data Agreement v1.0 agreement prior to utilizing this dataset for your needs-- both professional and educational endeavors alike!

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How to use the dataset

How to Use the US Broadband Usage Dataset

This dataset provides broadband usage estimates in the United States by county and zip code. It is ideally suited for research into how broadband connects households, towns and cities. Understanding this information is vital for closing existing disparities in access to high-speed internet, and for devising strategies for making sure all Americans can stay connected in a digital world.

The dataset contains six columns: - County – The name of the county for which usage statistics are provided. - Zip Code (5-Digit) – The 5-digit zip code from which usage data was collected from within that county or metropolitan area/micro area/divisions within states as reported by the US Census Bureau in 2018[2].
- Population (Households) – Estimated number of households defined according to [3] based on data from the US Census Bureau American Community Survey's 5 Year Estimates[4].
- Average Throughput (Mbps)- Average Mbps download speed derived from a combination of data collected anonymous devices connected through Microsoft services such as Windows Update, Office 365, Xbox Live Core Services, etc.[5]
- Percent Fast (> 25 Mbps)- Percentage of machines with throughput greater than 25 Mbps calculated using [6]. 6) Percent Slow (< 3 Mbps)- Percentage of machines with throughput less than 3Mbps calculated using [7].

Research Ideas

• Targeting marketing campaigns based on broadband use. Companies can use the geographic and demographic data in this dataset to create targeted advertising campaigns that are tailored to individuals living in areas where broadband access is scarce or lacking.
• Creating an educational platform for those without reliable access to broadband internet. By leveraging existing technologies such as satellite internet, media streaming services like Netflix, and platforms such as Khan Academy or EdX, those with limited access could gain access to new educational options from home.
• Establishing public-private partnerships between local governments and telecom providers need better data about gaps in service coverage and usage levels in order to make decisions about investments into new infrastructure buildouts for better connectivity options for rural communities

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: broadband_data_2020October.csv

Acknowledgements

If you use this dataset in your research,...

Time series data for the statistic Personal remittances, received (current US$) and country Norway. Indicator Definition:Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.The indicator "Personal remittances, received (current US$)" stands at 621.25 Million usd as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes an increase of 3.65 percent compared to the value the year prior.The 1 year change in percent is 3.65.The 3 year change in percent is -7.52.The 5 year change in percent is 0.8943.The 10 year change in percent is -18.25.The Serie's long term average value is 366.61 Million usd. It's latest available value, on 12/31/2024, is 69.46 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1975, to it's latest available value, on 12/31/2024, is +7,612.92%.The Serie's change in percent from it's maximum value, on 12/31/2013, to it's latest available value, on 12/31/2024, is -21.51%.

Time series data for the statistic Personal remittances, received (current US$) and country Cabo Verde. Indicator Definition:Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.The indicator "Personal remittances, received (current US$)" stands at 333.99 Million usd as of 12/31/2024, the highest value at least since 12/31/1978, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 5.57 percent compared to the value the year prior.The 1 year change in percent is 5.57.The 3 year change in percent is 6.20.The 5 year change in percent is 55.33.The 10 year change in percent is 69.55.The Serie's long term average value is 121.08 Million usd. It's latest available value, on 12/31/2024, is 175.84 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1983, to it's latest available value, on 12/31/2024, is +1,525.43%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

Time series data for the statistic Personal remittances, received (current US$) and country Angola. Indicator Definition:Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.The indicator "Personal remittances, received (current US$)" stands at 51.04 Million usd as of 12/31/2024, the highest value since 12/31/2009. Regarding the One-Year-Change of the series, the current value constitutes an increase of 322.98 percent compared to the value the year prior.The 1 year change in percent is 322.98.The 3 year change in percent is 304.08.The 5 year change in percent is 1,381.35.The 10 year change in percent is 64.80.The Serie's long term average value is 18.49 Million usd. It's latest available value, on 12/31/2024, is 176.00 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2009, to it's latest available value, on 12/31/2024, is +31,336.21%.The Serie's change in percent from it's maximum value, on 12/31/2008, to it's latest available value, on 12/31/2024, is -37.82%.

Time series data for the statistic Personal remittances, received (current US$) and country St. Kitts and Nevis. Indicator Definition:Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.The indicator "Personal remittances, received (current US$)" stands at 36.44 Million usd as of 12/31/2024, the lowest value since 12/31/2021. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -2.03 percent compared to the value the year prior.The 1 year change in percent is -2.03.The 3 year change in percent is -1.69.The 5 year change in percent is -13.73.The 10 year change in percent is 68.16.The Serie's long term average value is 18.67 Million usd. It's latest available value, on 12/31/2024, is 95.16 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1980, to it's latest available value, on 12/31/2024, is +4,497.22%.The Serie's change in percent from it's maximum value, on 12/31/2019, to it's latest available value, on 12/31/2024, is -13.73%.

A dataset listing the richest zip codes in New Jersey per the most current US Census data, including information on rank and average income.

Time series data for the statistic Personal remittances, received (current US$) and country Kuwait. Indicator Definition:Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.The indicator "Personal remittances, received (current US$)" stands at 20.39 Million usd as of 12/31/2024, the lowest value since 12/31/2017. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -4.20 percent compared to the value the year prior.The 1 year change in percent is -4.20.The 3 year change in percent is -97.47.The 5 year change in percent is -20.66.The 10 year change in percent is 431.07.The Serie's long term average value is 68.58 Million usd. It's latest available value, on 12/31/2024, is 70.27 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2012, to it's latest available value, on 12/31/2024, is +680.08%.The Serie's change in percent from it's maximum value, on 12/31/2021, to it's latest available value, on 12/31/2024, is -97.47%.

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