As of 2024, 7.5 percent of U.S. Google employees were of Hispanic or Latinx ethnicity. The biggest share of Google employees were white. Currently, more than four in ten Google employees were white, down from more than six in ten in 2014.

In 2024, 4.3 percent of U.S. Google leadership employees were of Latinx ethnicity. The majority of leadership employees, about six in ten, were white. Asian Google employees accounted for the second-largest group of employees in leadership positions.

This dataset contains population estimates, by age and sex, per 30 arc-second grid cell consistent with national censuses and population registers. There is one image for each modeled age and sex category based on the 2010 round of Census. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision …

This dataset contains information on how much money is spent by verified advertisers on political advertising across Google Ad Services. In addition, insights on demographic targeting used in political ad campaigns by these advertisers are also provided. Finally, links to the actual political ad in the Google Transparency Report (https://adstransparency.google.com) are provided. Data for an election expires 7 years after the election. After this point, the data are removed from the dataset and are no longer available.

Update frequency: Daily

Dataset source: Transparency Report: Political Advertising on Google

Terms of use:

See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/transparency-report/google-political-ads

For more information see: The Political Advertising on Google Transparency Report at https://adstransparency.google.com

The supporting Frequently Asked Questions at https://support.google.com/transparencyreport/answer/9575640?hl=en&ref_topic=7295796

This dataset contains current and historical demographic data on Google's workforce since the company began publishing diversity data in 2014. It includes data collected for government reporting and voluntary employee self-identification globally relating to hiring, retention, and representation categorized by race, gender, sexual orientation, gender identity, disability status, and military status. In some instances, the data is limited due to various government policies around the world and the desire to protect Googler confidentiality. All data in this dataset will be updated yearly upon publication of Google’s Diversity Annual Report . Google uses this data to inform its diversity, equity, and inclusion work. More information on our methodology can be found in the Diversity Annual Report. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

As of January 2024, the majority of Google employees worldwide, almost 66 percent, were male. The distribution of male and female employees at Google hasn’t seen a big change over the recent years. In 2014 the share of female employees at Google was 30.6 percent. In 2021 this number has increased by only 3 percent. Considering that the total number of Google employees increased greatly between the years 2007 and 2020, the female quota among the employees had seen rather a small increase. Google as a company Google is a diverse internet company that provides a wide range of digital products and services. In 2022, the company’s global revenue was over 279 billion U.S. dollars. Most of its revenue, around 305 billion U.S. dollars, was from advertising. Among its services, the most popular ones are YouTube and Google Play. Male and female employees at tech companies Google is not the only tech company with a lower number of female employees. This pattern can be seen in other big tech companies too. In 2019, in a ranking of 20 leading tech companies worldwide, only 23andMe had more than a 50 percent share of female employees. The majority of tech companies in the ranking have far more male than female employees.

Introduction

Google Chrome Statistics: Google Chrome has established itself as the leading web browser globally, reflecting its widespread adoption across various platforms. As of February 2025, Chrome holds approximately 66% of the global market share across all devices, surpassing competitors such as Safari, Edge, and Firefox. This dominance translates to an estimated 3.45 billion internet users utilizing Chrome as their primary web browser in 2025, marking an increase from 3.06 billion users in 2020.

The browser's popularity is further highlighted by its extensive library of extensions, with nearly 137,345 available in the Chrome Web Store, enhancing user experience through additional functionalities. Chrome's integration with Google's suite of services and its cross-platform compatibility have contributed significantly to its widespread adoption. However, this dominance has attracted regulatory scrutiny; in November 2024, the U.S. Department of Justice proposed that Google divest its Chrome browser to address concerns over its search monopoly, estimating Chrome's valuation at approximately USD 20 billion.

These developments underscore Chrome's influential position in the web browser market and its impact on global internet usage patterns.

This dataset contains information on how much money is spent by verified advertisers on political advertising across Google Ad Services. In addition, insights on demographic targeting used in political ad campaigns by these advertisers are also provided. Finally, links to the actual political ad in the Google Transparency Report are provided. Data for an election expires 7 years after the election. After this point, the data are removed from the dataset and are no longer available. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

In 2024, the share of female Google employees worldwide in leadership positions amounted to 32.8 percent. The majority of leadership employees were men. Overall, about two thirds of Google employees worldwide were male.

Vast records of our everyday interests and concerns are being generated by our frequent interactions with the Internet. Here, we investigate how the searches of Google users vary across U.S. states with different birth rates and infant mortality rates. We find that users in states with higher birth rates search for more information about pregnancy, while those in states with lower birth rates search for more information about cats. Similarly, we find that users in states with higher infant mortality rates search for more information about credit, loans and diseases. Our results provide evidence that Internet search data could offer new insight into the concerns of different demographics.

This dataset contains estimates of the number of persons per square kilometer consistent with national censuses and population registers. There is one image for each modeled year. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on 30 arc-second (approximately 1 km) grid cells. Population is distributed to cells using proportional allocation of population from census and administrative units. Population input data are collected at the most detailed spatial resolution available from the results of the 2010 round of censuses, which occurred between 2005 and 2014. The input data are extrapolated to produce population estimates for each modeled year.

Google Pay users in the United States made up ** percent of respondents in 2025 and were likely to come from a ****** income. This is according to questions asked in Statista's Consumer Insights, focusing on what payment services consumers used in the past 12 months. The typical user profile of a Google Pay user in the United States was that they were ****, were between ********* years old, and fell in the ****** quantile in terms of income. According to Statista surveys, in 2024, Google Pay in the United States was used more in online shopping than it was in offline POS.

In January 2025, Google accounted for 93.89 percent of the global mobile search engine market worldwide. Ever since the release of Google Search in 1997, the company's search engine has dominated the search engine market, maintaining a margin of more than 93 percentage points since January 2015. Currently owned by the parent corporation Alphabet Inc., Google has one of the highest tech company revenues, with roughly 305.63 billion U.S. dollars in 2023.

Global high-resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes, and for planning interventions. The WorldPop project aims to meet these needs through the provision of detailed and open access population distribution datasets built using transparent and peer-reviewed approaches. Full details on the methods and datasets used in constructing the data, along with open access publications, are provided on the WorldPop website. In brief, recent census-based population counts matched to their associated administrative units are disaggregated to ~100x100m grid cells through machine learning approaches that exploit the relationships between population densities and a range of geospatial covariate layers. The mapping approach is Random Forest-based dasymetric redistribution. This dataset depict estimated number of people residing in each grid cell in 2010, 2015, and other years. For 2020, the breakdown of population by age and sex is available in the WorldPop/GP/100m/pop_age_sex and WorldPop/GP/100m/pop_age_sex_cons_unadj collections. Further WorldPop gridded datasets on population age structures, poverty, urban growth, and population dynamics are freely available on the WorldPop website. WorldPop represents a collaboration between researchers at the University of Southampton, Universite Libre de Bruxelles, and University of Louisville. The project is principally funded by the Bill and Melinda Gates Foundation.

Google Pay users in Sweden made up ** percent of respondents in 2025 and were likely to come from a **** income. This is according to questions asked in Statista's Consumer Insights, focusing on what payment services consumers used in the past 12 months. The typical user profile of a Google Pay user in Sweden was that they were ****, were ******** years old, and fell in the ******* quantile in terms of income. According to Statista surveys, in 2024, Google Pay in Sweden was used more in online shopping than it was in offline POS.

Premium B2C Consumer Database - 269+ Million US Records

Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

Core Database Statistics

Consumer Records: Over 269 million

Email Addresses: Over 160 million (verified and deliverable)

Phone Numbers: Over 76 million (mobile and landline)

Mailing Addresses: Over 116,000,000 (NCOA processed)

Geographic Coverage: Complete US (all 50 states)

Compliance Status: CCPA compliant with consent management

Targeting Categories Available

Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

Multi-Channel Campaign Applications

Deploy across all major marketing channels:

Email marketing and automation

Social media advertising

Search and display advertising (Google, YouTube)

Direct mail and print campaigns

Telemarketing and SMS campaigns

Programmatic advertising platforms

Data Quality & Sources

Our consumer data aggregates from multiple verified sources:

Public records and government databases

Opt-in subscription services and registrations

Purchase transaction data from retail partners

Survey participation and research studies

Online behavioral data (privacy compliant)

Technical Delivery Options

File Formats: CSV, Excel, JSON, XML formats available

Delivery Methods: Secure FTP, API integration, direct download

Processing: Real-time NCOA, email validation, phone verification

Custom Selections: 1,000+ selectable demographic and behavioral attributes

Minimum Orders: Flexible based on targeting complexity

Unique Value Propositions

Dual Spouse Targeting: Reach both household decision-makers for maximum impact

Cross-Platform Integration: Seamless deployment to major ad platforms

Real-Time Updates: Monthly data refreshes ensure maximum accuracy

Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

Compliance Management: Built-in opt-out and suppression list management

Ideal Customer Profiles

E-commerce retailers seeking customer acquisition

Financial services companies targeting specific demographics

Healthcare organizations with compliant marketing needs

Automotive dealers and service providers

Home improvement and real estate professionals

Insurance companies and agents

Subscription services and SaaS providers

Performance Optimization Features

Lookalike Modeling: Create audiences similar to your best customers

Predictive Scoring: Identify high-value prospects using AI algorithms

Campaign Attribution: Track performance across multiple touchpoints

A/B Testing Support: Split audiences for campaign optimization

Suppression Management: Automatic opt-out and DNC compliance

Pricing & Volume Options

Flexible pricing structures accommodate businesses of all sizes:

Pay-per-record for small campaigns

Volume discounts for large deployments

Subscription models for ongoing campaigns

Custom enterprise pricing for high-volume users

Data Compliance & Privacy

VIA.tools maintains industry-leading compliance standards:

CCPA (California Consumer Privacy Act) compliant

CAN-SPAM Act adherence for email marketing

TCPA compliance for phone and SMS campaigns

Regular privacy audits and data governance reviews

Transparent opt-out and data deletion processes

Getting Started

Our data specialists work with you to:

1. Define your target audience criteria

2. Recommend optimal data selections

3. Provide sample data for testing

4. Configure delivery methods and formats

5. Implement ongoing campaign optimization

Why We Lead the Industry

With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

Contact our team to discuss your specific ta...

Google Pay users in Mexico made up *** percent of respondents in 2025 and were likely to come from a **** income. This is according to questions asked in Statista's Consumer Insights, focusing on what payment services consumers used in the past 12 months. The typical user profile of a Google Pay user in Mexico was that they were ****, were ******** years old, and fell in the ******* quantile in terms of income. According to Statista surveys, in 2024, Google Pay in Mexico made up less than 11 percent of payment transactions in Mexico.

Various population statistics, including structured demographics data.

Google Pay users in Poland made up ** percent of respondents in 2025 and were likely to come from a **** income. This is according to questions asked in Statista's Consumer Insights, focusing on what payment services consumers used in the past 12 months. The typical user profile of a Google Pay user in Poland was that they were ****, were ******** years old, and fell in the ******* quantile in terms of income. According to Statista surveys, in 2024, Google Pay in Poland was used more in online shopping than it was in offline POS.

Context

The United States Census is a decennial census mandated by Article I, Section 2 of the United States Constitution, which states: "Representatives and direct Taxes shall be apportioned among the several States ... according to their respective Numbers."
Source: https://en.wikipedia.org/wiki/United_States_Census

Content

The United States census count (also known as the Decennial Census of Population and Housing) is a count of every resident of the US. The census occurs every 10 years and is conducted by the United States Census Bureau. Census data is publicly available through the census website, but much of the data is available in summarized data and graphs. The raw data is often difficult to obtain, is typically divided by region, and it must be processed and combined to provide information about the nation as a whole.

The United States census dataset includes nationwide population counts from the 2000 and 2010 censuses. Data is broken out by gender, age and location using zip code tabular areas (ZCTAs) and GEOIDs. ZCTAs are generalized representations of zip codes, and often, though not always, are the same as the zip code for an area. GEOIDs are numeric codes that uniquely identify all administrative, legal, and statistical geographic areas for which the Census Bureau tabulates data. GEOIDs are useful for correlating census data with other censuses and surveys.

Fork this kernel to get started.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:census_bureau_usa

https://cloud.google.com/bigquery/public-data/us-census

Dataset Source: United States Census Bureau

Use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by Steve Richey from Unsplash.

Inspiration

What are the ten most populous zip codes in the US in the 2010 census?

What are the top 10 zip codes that experienced the greatest change in population between the 2000 and 2010 censuses?

https://cloud.google.com/bigquery/images/census-population-map.png" alt="https://cloud.google.com/bigquery/images/census-population-map.png"> https://cloud.google.com/bigquery/images/census-population-map.png