This collection contains individual-level and 1-percent national sample data from the 1960 Census of Population and Housing conducted by the Census Bureau. It consists of a representative sample of the records from the 1960 sample questionnaires. The data are stored in 30 separate files, containing in total over two million records, organized by state. Some files contain the sampled records of several states while other files contain all or part of the sample for a single state. There are two types of records stored in the data files: one for households and one for persons. Each household record is followed by a variable number of person records, one for each of the household members. Data items in this collection include the individual responses to the basic social, demographic, and economic questions asked of the population in the 1960 Census of Population and Housing. Data are provided on household characteristics and features such as the number of persons in household, number of rooms and bedrooms, and the availability of hot and cold piped water, flush toilet, bathtub or shower, sewage disposal, and plumbing facilities. Additional information is provided on tenure, gross rent, year the housing structure was built, and value and location of the structure, as well as the presence of air conditioners, radio, telephone, and television in the house, and ownership of an automobile. Other demographic variables provide information on age, sex, marital status, race, place of birth, nationality, education, occupation, employment status, income, and veteran status. The data files were obtained by ICPSR from the Center for Social Analysis, Columbia University. (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07756.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The world's population has undergone remarkable growth, exceeding 7.5 billion by mid-2019 and continuing to surge beyond previous estimates. Notably, China and India stand as the two most populous countries, with China's population potentially facing a decline while India's trajectory hints at surpassing it by 2030. This significant demographic shift is just one facet of a global landscape where countries like the United States, Indonesia, Brazil, Nigeria, and others, each with populations surpassing 100 million, play pivotal roles.
The steady decrease in growth rates, though, is reshaping projections. While the world's population is expected to exceed 8 billion by 2030, growth will notably decelerate compared to previous decades. Specific countries like India, Nigeria, and several African nations will notably contribute to this growth, potentially doubling their populations before rates plateau.
This dataset provides comprehensive historical population data for countries and territories globally, offering insights into various parameters such as area size, continent, population growth rates, rankings, and world population percentages. Spanning from 1970 to 2023, it includes population figures for different years, enabling a detailed examination of demographic trends and changes over time.
Structured with meticulous detail, this dataset offers a wide array of information in a format conducive to analysis and exploration. Featuring parameters like population by year, country rankings, geographical details, and growth rates, it serves as a valuable resource for researchers, policymakers, and analysts. Additionally, the inclusion of growth rates and world population percentages provides a nuanced understanding of how countries contribute to global demographic shifts.
This dataset is invaluable for those interested in understanding historical population trends, predicting future demographic patterns, and conducting in-depth analyses to inform policies across various sectors such as economics, urban planning, public health, and more.
This dataset (world_population_data.csv
) covering from 1970 up to 2023 includes the following columns:
Column Name | Description |
---|---|
Rank | Rank by Population |
CCA3 | 3 Digit Country/Territories Code |
Country | Name of the Country |
Continent | Name of the Continent |
2023 Population | Population of the Country in the year 2023 |
2022 Population | Population of the Country in the year 2022 |
2020 Population | Population of the Country in the year 2020 |
2015 Population | Population of the Country in the year 2015 |
2010 Population | Population of the Country in the year 2010 |
2000 Population | Population of the Country in the year 2000 |
1990 Population | Population of the Country in the year 1990 |
1980 Population | Population of the Country in the year 1980 |
1970 Population | Population of the Country in the year 1970 |
Area (km²) | Area size of the Country/Territories in square kilometer |
Density (km²) | Population Density per square kilometer |
Growth Rate | Population Growth Rate by Country |
World Population Percentage | The population percentage by each Country |
The primary dataset was retrieved from the World Population Review. I sincerely thank the team for providing the core data used in this dataset.
© Image credit: Freepik
https://publichealthscotland.scot/services/data-research-and-innovation-services/electronic-data-research-and-innovation-service-edris/services-we-offer/https://publichealthscotland.scot/services/data-research-and-innovation-services/electronic-data-research-and-innovation-service-edris/services-we-offer/
The Brain Health Data Pilot (BHDP) project aims to be a shared database (like a library) of information for scientists studying brain health, especially for diseases like dementia, which affects about 900,000 people in the UK. Its main feature is a huge collection of brain images linked to routinely collected health records, both from NHS Scotland, which will help scientists learn more about dementia and other brain diseases. What is special about this database is that it will get better over time – as scientists use it and add their discoveries, it becomes more valuable.
This dataset is a subset of the Prescribing Information System (PIS) data for use with the BHDP project.
The information is supplied by Practitioner & Counter Fraud Services Division (P&CFS) who is responsible for the processing and pricing of all prescriptions dispensed in Scotland. These data are augmented with information on prescriptions written in Scotland that were dispensed elsewhere in the United Kingdom. GP’s write the vast majority of these prescriptions, with the remainder written by other authorised prescribers such as nurses and dentists. Also included in the dataset are prescriptions written in hospitals that are dispensed in the community. Note that prescriptions dispensed within hospitals are not included. Data includes CHI number, prescriber and dispenser details for community prescribing, costs and drug information. Data on practices (e.g. list size), organisational structures (e.g. practices within Community Health Partnerships (CHPs) and NHS Boards), prescribable items (e.g. manufacturer, formulation code, strength) are also included. Around 100 million data items are loaded per annum.
Attribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
License information was derived automatically
The Paradise Papers is a cache of some 13GB of data that contains 13.4 million confidential records of offshore investment by 120,000 people and companies in 19 tax jurisdictions (Tax Heavens - an awesome video to understand this); that was published by the International Consortium of Investigative Journalists (ICIJ) on November 5, 2017. Here is a brief video about the leak. The people include Queen Elizabeth II, the President of Columbia (Juan Manuel Santos), Former Prime Minister of Pakistan (Shaukat Aziz), U.S Secretary of Commerce (Wilbur Ross) and many more. According to an estimate by the Boston Consulting Group, the amount of money involved is around $10 trillion. The leak contains many famous companies, including Facebook, Apple, Uber, Nike, Walmart, Allianz, Siemens, McDonald’s and Yahoo.
It also contains a lot of U. S President Donald Trump allies including Rax Tillerson, Wilbur Ross, Koch Brothers, Paul Singer, Sheldon Adelson, Stephen Schwarzman, Thomas Barrack and Steve Wynn etc. The complete list of Politicians involve is avaiable here.
The Panama Papers in the cache of 38GB of data from the national corporate registry of Bahamas. It contains world’s top politicians and influential persons as head and director of offshore companies registered in Bahamas.
Offshore Leaks details 13,000 offshore accounts in a report.
I am calling all data scientists to help me stop the corruption and reveal the patterns and linkages invisible for the untrained eye.
The data is the effort of more than 100 journalists from 60+ countries
The original data is available under creative common license and can be downloaded from this link.
I will keep updating the datasets with more leaks and data as it’s available
International Consortium of Investigative Journalists (ICIJ)
Paradise Papers data has been uploaded as released by ICIJ on Nov 21, 2017. You can find Paradise Papers zip file and six extracted files in CSV format, all starting with a prefix of Paradise. Happy Coding!
Some ideas worth exploring:
How many companies and individuals are there in all of the leaks data
How many countries involved
Total money involved
What is the biggest best tax heaven
Can we compare the corruption with human development index and make an argument that would correlate corruption with bad conditions in that country
Who are the biggest cheaters and where they live
What role Fortune 500 companies play in this game
I need your help to make this world corruption free in the age of NLP and Big Data
Success.ai’s Prospect Data for Biotechnology & Pharmaceutical Innovators Globally provides a powerful dataset designed to connect businesses with key players driving innovation in the biotech and pharmaceutical industries worldwide. Covering companies engaged in drug development, biotechnology research, and life sciences innovation, this dataset offers verified profiles, professional histories, work emails, and phone numbers of decision-makers and industry leaders.
With access to over 700 million verified global profiles and 30 million company profiles, Success.ai ensures your outreach, market research, and partnership efforts are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is indispensable for navigating the fast-evolving biotech and pharmaceutical landscape.
Why Choose Success.ai’s Prospect Data for Biotech and Pharmaceutical Innovators?
Verified Contact Data for Industry Professionals
Comprehensive Coverage Across Global Markets
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Decision-Maker Profiles in Biotech and Pharmaceuticals
Advanced Filters for Precision Targeting
Research and Innovation Insights
AI-Driven Enrichment
Strategic Use Cases:
Sales and Lead Generation
Market Research and Competitive Analysis
Partnership Development and Licensing
Regulatory Compliance and Risk Mitigation
Why Choose Success.ai?
Introducing Our Comprehensive Global B2B Contact Data Solution
In today’s rapidly evolving business landscape, having access to accurate, comprehensive, and actionable information is not just an advantage—it’s a necessity. Introducing our Global B2B Contact Data Solution, meticulously crafted to empower businesses worldwide by providing them with the tools they need to connect, expand, and thrive in the global market.
What Distinguishes Our Data?
Our Global B2B Contact Data is a cut above the rest, designed with a laser focus on identifying and connecting with pivotal decision-makers. With a database of over 220 million meticulously verified contacts, our data goes beyond mere numbers. Each entry includes business emails and phone numbers that have been thoroughly vetted for accuracy, ensuring that your outreach efforts are both meaningful and effective. This data is a key asset for businesses looking to forge strong connections that are crucial for global expansion and success.
Unparalleled Data Collection Process
Our commitment to quality begins with our data collection process, which is rooted in a robust and reliable approach: - Dynamic Publication Sites: We draw data from ten dynamic publication sites, serving as rich sources for the continuous and real-time creation of our global database. - Contact Discovery Team: Complementing this is our dedicated research powerhouse, the Contact Discovery Team, which conducts extensive investigations to ensure the accuracy and relevance of each contact. This dual-sourcing strategy guarantees that our Global B2B Contact Data is not only comprehensive but also trustworthy, offering you the reliability you need to make informed business decisions.
Versatility Across Diverse Industries
Our Global B2B Contact Data is designed with versatility in mind, making it an indispensable tool across a wide range of industries: - Finance: Enable precise targeting for investment opportunities, partnerships, and market expansion. - Manufacturing: Identify key players and suppliers in the global supply chain, facilitating streamlined operations and business growth. - Technology: Connect with innovators and leaders in tech to foster collaborations, drive innovation, and explore new markets. - Healthcare: Access critical decision-makers in healthcare for strategic partnerships, market penetration, and research collaborations. - Retail: Engage with industry leaders and stakeholders to enhance your retail strategies and expand your market reach. - Energy: Pinpoint decision-makers in the energy sector to explore new ventures, investments, and sustainability initiatives. - Transportation: Identify key contacts in logistics and transportation to optimize operations and expand into new territories. - Hospitality: Connect with executives and decision-makers in hospitality to drive business growth and market expansion. - And Beyond: Our data is applicable across virtually every industry, ensuring that no matter your sector, you have the tools needed to succeed.
Seamless Integration for Holistic Insights
Our Global B2B Contact Data is not just a standalone resource—it’s a vital component of a larger data ecosystem that offers a panoramic view of the business landscape. By seamlessly integrating into our wider data collection framework, our Global B2B Contact Data enables you to: - Access Supplementary Insights: Gain additional valuable insights that complement your primary data, providing a well-rounded understanding of market trends, competitive dynamics, and global key players. - Informed Decision-Making: Whether you’re identifying new market opportunities, analyzing industry trends, or planning global expansion, our data equips you with the insights needed to make strategic, data-driven decisions.
Fostering Global Connections
In today’s interconnected world, relationships are paramount. Our Global B2B Contact Data acts as a powerful conduit for establishing and nurturing these connections on a global scale. By honing in on decision-makers, our data ensures that you can effortlessly connect with the right individuals at the most opportune moments. Whether you’re looking to forge new partnerships, secure investments, or venture into uncharted B2B territories, our data empowers you to build meaningful and lasting business relationships.
Commitment to Privacy and Security
We understand that privacy and security are of utmost importance when it comes to handling data. That’s why we uphold the highest standards of privacy and security, ensuring that all data is managed ethically and in full compliance with global privacy regulations. Businesses can confidently leverage our data, knowing that it is handled with the utmost care and respect for legal requirements.
Continuous Enhancement for Superior Data Quality
Adaptability and continuous improvement are at the core of our ethos. We are committed to consistently enhancing our B2B C...
Success.ai’s Supply Chain Data for Business Supplies & Equipment Professionals Worldwide offers a comprehensive dataset designed to help businesses connect with key stakeholders in the global supply chain and business equipment sectors. Covering procurement managers, operations directors, and supply chain professionals, this dataset provides verified contact details, business registration insights, and firmographic data.
With access to over 700 million verified global profiles and data from 70 million businesses, Success.ai ensures your outreach, market analysis, and business development strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution supports your efforts to thrive in the dynamic global supply chain industry.
Why Choose Success.ai’s Supply Chain Data?
Verified Contact Data for Supply Chain Professionals
Comprehensive Global Coverage
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Decision-Maker Profiles in Supply Chain and Equipment
Advanced Filters for Precision Targeting
Business Registration and Compliance Insights
AI-Driven Enrichment
Strategic Use Cases:
Sales and Vendor Development
Market Research and Competitive Analysis
Supply Chain Optimization and Risk Mitigation
Recruitment and Workforce Solutions
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The total population in the United Kingdom was estimated at 69.2 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides the latest reported value for - United Kingdom Population - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Success.ai’s Import Export Data for Import, Export & Trade Professionals in Asia delivers a comprehensive dataset tailored for businesses aiming to connect with key players in Asia’s dynamic trade industry. Covering professionals involved in import/export operations, international logistics, and supply chain management, this dataset provides verified contact details, firmographic insights, and actionable professional data.
With access to over 700 million verified global profiles and 70 million business datasets, Success.ai ensures your outreach, market research, and trade strategies are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is essential for navigating the complexities of global trade in Asia.
Why Choose Success.ai’s Import Export Data?
Verified Contact Data for Effective Engagement
Comprehensive Coverage of Asian Trade Markets
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Professional Profiles in Import/Export and Logistics
Firmographic and Geographic Insights
Advanced Filters for Precision Campaigns
AI-Driven Enrichment
Strategic Use Cases:
Sales and Business Development
Market Research and Competitive Analysis
Partnership Development and Trade Collaboration
Recruitment and Talent Acquisition
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Foreign Exchange Reserves in Pakistan increased to 16597.70 USD Million in May from 14759.40 USD Million in April of 2025. This dataset provides the latest reported value for - Pakistan Foreign Exchange Reserves - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The KALAHI-CIDSS program was set up in 2002 to alleviate rural poverty in the Philippines. It provides resources to poor rural municipalities to invest in public goods and by reviving local institutions to enhance people’s participation in governance. The project targeted the poorest 25 percent of municipalities in each of the poorest 42 provinces. The government of the Philippines committed $82 million to the project, which was complemented by a $100 million loan from the World Bank. As of December 2010, the project had covered 4,583 barangays (villages) in 200 municipalities and supported 5,645 subprojects, worth Php 5.7 billion and benefiting about 1.26 million households. The program's impact evaluation was designed in 2003 to evaluate general impacts on poverty reduction, social capital, empowerment, and governance. The team collected quantitative and qualitative data before, during, and after project implementation in a sample of KALAHI-CIDSS municipalities that received support ("treatment" municipalities) and from comparable municipalities that did not receive support ("control" municipalities). The quantitative baseline survey was carried out in September-October 2003, the quantitative midterm in October-November 2006 and the quantitative endline survey in February-March 2010. Data were collected on a broad range of indicators: service delivery (access to health, education), poverty (employment, per capita consumption, self-rated poverty), empowerment and governance (group membership, participation in barangay assemblies, collective action). The quantitative sample includes 2,400 households in 135 barangays in 16 municipalities in 4 provinces.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Unemployment Rate in Philippines increased to 4.10 percent in April from 3.90 percent in March of 2025. This dataset provides - Philippines Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The total population in Italy was estimated at 59.0 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides the latest reported value for - Italy Population - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Consumer Spending in Australia increased to 327973 AUD Million in the fourth quarter of 2024 from 326613 AUD Million in the third quarter of 2024. This dataset provides the latest reported value for - Australia Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.
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This collection contains individual-level and 1-percent national sample data from the 1960 Census of Population and Housing conducted by the Census Bureau. It consists of a representative sample of the records from the 1960 sample questionnaires. The data are stored in 30 separate files, containing in total over two million records, organized by state. Some files contain the sampled records of several states while other files contain all or part of the sample for a single state. There are two types of records stored in the data files: one for households and one for persons. Each household record is followed by a variable number of person records, one for each of the household members. Data items in this collection include the individual responses to the basic social, demographic, and economic questions asked of the population in the 1960 Census of Population and Housing. Data are provided on household characteristics and features such as the number of persons in household, number of rooms and bedrooms, and the availability of hot and cold piped water, flush toilet, bathtub or shower, sewage disposal, and plumbing facilities. Additional information is provided on tenure, gross rent, year the housing structure was built, and value and location of the structure, as well as the presence of air conditioners, radio, telephone, and television in the house, and ownership of an automobile. Other demographic variables provide information on age, sex, marital status, race, place of birth, nationality, education, occupation, employment status, income, and veteran status. The data files were obtained by ICPSR from the Center for Social Analysis, Columbia University. (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07756.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.