Data Driven Tech Data Lab

Data Driven Tech Data Lab

Explore public data through interactive dashboards, historical comparisons, downloadable datasets, and independent analysis from Data Driven Tech. We work with authoritative government and other credible public sources to make complex datasets easier to explore, compare, and understand.

Explore the Data

Latest Data

Freshness of every published Data Lab dataset
DatasetLatest published periodSource agencyStatus
Business FormationJuly 2026U.S. Census BureauOverdue
Business Applications by County2025U.S. Census BureauCurrent
Building PermitsJuly 2026U.S. Census BureauOverdue

Latest Data Insights

Year Over Year

The latest value is 23.4% above the same month one year earlier.

U.S. Business Formation Statistics · 2026-07View dashboard

Month Over Month

Applications moved 8.1% from the previous month.

U.S. Business Formation Statistics · 2026-07View dashboard

Historical Percentile

The latest value ranks in the 100th percentile of the published monthly history.

U.S. Business Formation Statistics · 2026-07View dashboard

Year Over Year

The latest value is 5.2% above the same month one year earlier.

U.S. Building Permits · 2026-07View dashboard

Month Over Month

Applications moved 4.3% from the previous month.

U.S. Building Permits · 2026-07View dashboard

Purpose

Public data, made easier to understand

The Data Driven Tech Data Lab is a public-facing research initiative created to make useful public information more accessible. It provides free public-facing research and analysis. Government agencies, research institutions, and other public organizations publish enormous amounts of valuable data, but those datasets are often spread across reports, spreadsheets, APIs, archives, and specialized databases.

Data Driven Tech organizes selected public datasets into interactive dashboards and visualizations designed for business owners, analysts, journalists, researchers, students, creators, and anyone interested in understanding what the data is showing.

Our goal is not simply to reproduce government reports. We use published source data to build comparisons, historical context, geographic views, rankings, and calculated indicators that can help readers identify meaningful patterns and ask better questions.

Research principles

How we work with public data

Start with identifiable public sources

We prioritize government agencies and other documented public or openly available datasets. Data Lab pages identify their underlying sources so readers can review the original material themselves.

Preserve source data and identify calculations

Data Driven Tech maintains versioned data snapshots and distinguishes source-published figures from calculations created by DDT, including percentage changes, rankings, historical percentiles, trailing totals, and other derived comparisons.

Update as new releases become available

Many public datasets are released monthly, quarterly, or annually. Data Driven Tech reviews new releases and updates Data Lab datasets as practical after new source batches become available. Release schedules, revisions, historical corrections, and changes made by the source organization can affect update timing.

Separate observation from interpretation

A chart can show that a measure increased, declined, reached an unusual level, or moved differently across locations. It does not automatically explain why. When interpretation extends beyond the published figures, Data Driven Tech distinguishes analysis from source data.

Source stewardship

Transparency, corrections, and source updates

Public datasets change. Agencies revise historical figures, change methodologies, replace files, discontinue visualizations, introduce new classifications, and occasionally correct previously published information.

Data Driven Tech works to reflect material source changes while preserving enough release and source information for readers to understand where a figure came from. If we identify a meaningful discrepancy, source revision, or calculation issue, we review the affected Data Lab content and update it where appropriate.

If you notice a potential discrepancy, know of a newer authoritative dataset, or can point us to documentation that may improve an existing dashboard, we welcome the information.

Help shape future research

Suggest a public-interest topic

Data Lab is intended to grow beyond the datasets currently published here. Data Driven Tech is open to exploring public and openly available datasets when the subject has meaningful public interest and the source material is suitable for responsible analysis.

Potential areas may include business and the economy, housing, labor markets, education, public health, government activity, sports, transportation, technology, entertainment, and other subjects where reliable public data can help people better understand an issue.

If there is a public dataset, research question, industry, geographic trend, or topic you believe would benefit from clearer analysis or visualization, send us a note. We cannot investigate every suggestion, but reader interest helps us determine which areas of Data Lab to research next.

Data Lab focuses on public and openly available information. Analysis involving proprietary organizational data is outside the scope of the public Data Lab.

Built for verification

Data Lab is designed so readers do not have to take a chart at face value. Published datasets retain source, release, retrieval, version, and validation information, and dashboards link back to methodology and source documentation wherever practical.

Government and other external sources are retrieved during controlled Data Driven Tech updates rather than from your browser while you use a dashboard. This allows a public page to reference a known published snapshot instead of changing unpredictably whenever an upstream service responds differently.

When Data Driven Tech calculates an additional measure from source data, we identify it as a DDT calculation rather than presenting it as an agency-published statistic.