The number of smartphone users in Southeast Asia was forecast to continuously increase between 2024 and 2029 by in total 105.9 million users (+23.9 percent). After the nineteenth consecutive increasing year, the smartphone user base is estimated to reach 548.92 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Western Asia and Southern Asia.

Population figures for countries, regions (e.g. Asia) and the world. Data comes originally from World Bank and has been converted into standard CSV.

The number of internet users in Southeast Asia was forecast to continuously increase between 2024 and 2029 by 86.4 million users (+15.32 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach a new peak at 650.4 million in 2029. Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the data source clarifies, connection quality and usage frequency are distinct aspects, not taken into account here. The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic, and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press, and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like Central Asia and Eastern Asia.

The East Asian Social Survey (EASS) is a biennial social survey project that serves as a cross-national network of the following four General Social Survey type surveys in East Asia: the Chinese General Social Survey (CGSS), the Japanese General Social Survey (JGSS), the Korean General Social Survey (KGSS), and the Taiwan Social Change Survey (TSCS), and comparatively examines diverse aspects of social life in these regions. Since its 1st module survey in 2006, EASS produces and disseminates its module survey datasets and this is the harmonized data for the 7th module survey, called 'Culture and Globalization in East Asia'. Survey information in this module is the same topic as the second module of the EASS 2008, and it focuses on cultural norms and expectations of respondents. Respondents were asked about their exposure to East Asian cultural activities and rituals as well as opinion on family responsibilities and roles. Other topics include sources of international news and discussion frequency, countries or regions traveled, as well as where acquaintances live. Additionally, respondents were asked how accepting they would be of people from other countries as coworkers, neighbors, and in marriage. Information was collected regarding foreign practices, whether the respondent was working for a foreign capital company, and the economic environment. Respondents were also asked to assess their own proficiency when reading, speaking, and writing in English. Demographic information specific to the respondent and their spouse includes age, sex, marital status, education, employment status and hours worked, occupation, earnings and income, religion, class, size of community, and region.

About the Data:

A year ago, when WHO declared COVID-19 outbreak a pandemic, countries in WHO South-East Asia Region were either responding to their first cases of importation or cluster of cases or keeping a strict vigil against importation of the new coronavirus.

The following months were unprecedented, and for many reasons. Scientists, experts, governments, societies, communities and even individuals responded to the new virus with urgency and measures never witnessed before.

Metadata:

ID: Unique Identifier Country: Name of Country TotalCases: Total Number of cases recorded so far TotalDeaths: Total Deaths recorded so far TotalRecovered: How many people survived ActiveCases: Number of people who currently has the virus TotalCasesPerMillion: How many cases are recorded per million individual TotalDeathsPerMillion: How many deaths recorded per million individual TotalTests: Total number of COVID19 tests conducted RTPCR + RAT + any other tests TotalTestsPerMillion: How many tests were conducted per million individual TotalPopulation: Population of the country

Acknowledgements:

This dataset was collected from: https://www.worldometers.info/coronavirus/#countries

Call For Code:

Fellow Data Scientist and ML engineers, can you identify which countries are doing relatively well and which ones need immediate attention? Your insights can save millions of lives in Asia!

Spatially accurate, contemporary data on human population distributions are vitally important to many applied and theoretical researchers. The Southeast Asia region has undergone rapid urbanization and population growth over the past decade, yet existing spatial population distribution datasets covering the region are based principally on population count data from censuses circa 2000, with often insufficient spatial resolution or input data to map settlements precisely. Here we outline approaches to construct a database of GIS-linked circa 2010 census data and methods used to construct fine-scale (∼100 meters spatial resolution) population distribution datasets for each country in the Southeast Asia region. Landsat-derived settlement maps and land cover information were combined with ancillary datasets on infrastructure to model population distributions for 2010 and 2015. These products were compared with those from two other methods used to construct commonly used global population datasets. Results indicate mapping accuracies are consistently higher when incorporating land cover and settlement information into the AsiaPop modelling process. Using existing data, it is possible to produce detailed, contemporary and easily updatable population distribution datasets for Southeast Asia. The 2010 and 2015 datasets produced are freely available as a product of the AsiaPop Project and can be downloaded from: www.asiapop.org.

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate demographic datasets at 150m grid levels across Asia and MENA. Understand who lives in a catchment, where they work and their spending potential to make informed business decisions.

This dataset provides values for POPULATION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The Gaming Taxonomy contains a broad scope of Gaming related topics, based on the user's browser and mobile app activity through last 30 days. There are classical Demographic, Game Genre, Title and Studio segments. However, we provide also plenty of specific User Types, which contain e.g. Hardcore Gamers, Big Spenders or Parents of Gamers. There are also audiences categorized by specific Hardware Products and Brands, based on the Intent of these devices' purchase. Moreover, we offer segments for Virtual Reality, interest in Gaming Subscriptions, Payments, Micropayments, Devices and Platforms. We also cover the area of E-sports Enthusiasts and Fandoms Members. In spirit of looking beyond simple game genres, we categorize Games according to their Theme (e.g. Historical), which is definitely important aspects of user experience and purchase decisions. Since Mobile Gaming is a very important part of the Gaming Industry, we distinct special Mobile Gaming segments, which are analogous to the ordinary Gaming segments, with additional categorizations of the Telecommunication Network Providers.

Our data base include millions of profiles divided into popular categories. You can choose which target groups you want to reach. Segments based on users' interests, purchase intentions or demography. Contact us to check all the possibilities: team@oan.pl

How you can use our data?

There are two main areas where you can use our data: • marketers - targeting online campaigns With our high-quality audience data, you can easily reach specific audiences across the world in programmatic campaigns. Show them personalized ads adjusted to their specific profiles. • ad tech companies - enriching 1st party data or using our raw data by your own data science team

We are ready for a cookieless era. We already gather and provide non-cookie ID - for example Universal IDs, CTV IDs or Mobile IDs.

The Key Indicators for Asia and the Pacific 2017 (Key Indicators 2017), the 48th edition of this series, provides statistics on a comprehensive set of economic, financial, social, environmental, and Sustainable Development Goal (SDG) indicators for the 48 regional members of the Asian Development Bank (ADB). As the data in this publication demonstrates, Asia and the Pacific’s development continues to be impressive on many fronts. Between 2002 and 2013, approximately 707 million people in the region moved out of extreme poverty, based on the $1.90 a day poverty line. The region’s share of global GDP increased from 29% to 41%, in terms of purchasing power parity, between 2000 and 2016. Energy efficiency, measured as GDP per unit of energy use, improved 1.5% annually between 2000 and 2014. And the maternal mortality ratio was halved between 2000 and 2015. As statistics on participation in global value chains show, the region has cushioned the impact of the slowdown in global trade observed since 2011 by increasing the domestic content of its exports and relying more on domestic absorption as a driver of growth.

The Institute for Agriculture and Trade Policy works locally and globally at the intersection of policy and practice to ensure fair and sustainable food, farm and trade systems.Rising food prices, increasing climate instability and food riots have sparked profound political changes around the world and put agriculture high on the international agenda. What kind of agriculture is best suited to respond to those challenges, however, is the subject of profound disagreement. Too much of the current policy debate on food security, climate change and agriculture assumes that industrial agriculture and related biotechnology are the only options for feeding a growing global population. Agribusiness and agrochemical companies have created and supported this image through aggressive advertising, lobbying and support for research institutions.

The Asian administrative boundaries and population database is part of an ongoing effort to improve global, spatially referenced demographic data holdings. Such databases are useful for a variety of applications including strategic-level agricultural research and applications in the analysis of the human dimensions of global change.

 This project (which has been carried out as a cooperative activity
 between NCGIA, CGIAR and UNEP/GRID between Oct. 1995 and present) has
 pooled available data sets, many of which had been assembled for the
 global demography project. All data were checked, international
 boundaries and coastlines were replaced with a standard template, the
 attribute database was redesigned, and new, more reliable population
 estimates for subnational units were produced for all countries. From
 the resulting data sets, raster surfaces representing population
 distribution and population density were created in collaboration
 between NCGIA and GRID-Geneva.

Abstract

South Asia Regional Flagship: More and Better Jobs in South Asia

Employment is a major issue throughout the world. To enjoy life, people need productive jobs that remove them from the daily struggle of making ends meet. According to the International Labour Organization (ILO), as many as 30 million people lost their jobs as a result of the 2008 crisis. Youth unemployment is especially high and inequality has increased. As recent events in the Middle East and North Africa demonstrate, joblessness and inequality can trigger political instability and unrest.

When the World Bank South Asia Region decided to initiate a yearly Flagship Report series, it was clear that the very first report needed to concentrate on the important topic of More and Better Jobs in South Asia. Although one of the fastest growing regions, South Asia is still home to the largest number of the world's poor and the pace of creating productive jobs has lagged behind economic growth. Conflict and social and gender issues also increase the challenge of generating more and more productive jobs. Without urgent action, the potential for the demographic dividend from about 150 million entrants to the labor force over the next decade may not be realized.

The Flagship seeks to answer four questions, which could have implications beyond South Asia. - How is South Asia performing in creating more and better jobs? - Where are the better jobs? - What are constraints in supply and demand in moving towards better jobs? - How does conflict affect job creation?

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Papua New Guinea’s (PNG) forests and forestry have played an important role in the livelihoods of the people of the country for many years. Forests have provided a source for food, fruits and nuts, building materials, medicinal plants, habitats for refuge and a wealth of other services. Increasingly throughout the years, and more so since the end of the Second World War, forests in the country have been exploited for their wood products, more particularly the timber. While still maintaining the main role of sustaining the livelihoods of rural people, forests have increasingly become the main source of revenue for the people (landowners), the Government and the timber industry. There are many factors that have impacted on forests and forestry, but the key ones are the increasing population and people’s demands for development – due to lack of basic goods and services in the rural areas where most or all the forests are found. The increasing numbers of people need to be fed and hence more forests are being cleared each year, through shifting cultivation, to make gardens for food.

The world population surpassed eight billion people in 2022, having doubled from its figure less than 50 years previously. Looking forward, it is projected that the world population will reach nine billion in 2038, and 10 billion in 2060, but it will peak around 10.3 billion in the 2080s before it then goes into decline. Regional variations The global population has seen rapid growth since the early 1800s, due to advances in areas such as food production, healthcare, water safety, education, and infrastructure, however, these changes did not occur at a uniform time or pace across the world. Broadly speaking, the first regions to undergo their demographic transitions were Europe, North America, and Oceania, followed by Latin America and Asia (although Asia's development saw the greatest variation due to its size), while Africa was the last continent to undergo this transformation. Because of these differences, many so-called "advanced" countries are now experiencing population decline, particularly in Europe and East Asia, while the fastest population growth rates are found in Sub-Saharan Africa. In fact, the roughly two billion difference in population between now and the 2080s' peak will be found in Sub-Saharan Africa, which will rise from 1.2 billion to 3.2 billion in this time (although populations in other continents will also fluctuate). Changing projections The United Nations releases their World Population Prospects report every 1-2 years, and this is widely considered the foremost demographic dataset in the world. However, recent years have seen a notable decline in projections when the global population will peak, and at what number. Previous reports in the 2010s had suggested a peak of over 11 billion people, and that population growth would continue into the 2100s, however a sooner and shorter peak is now projected. Reasons for this include a more rapid population decline in East Asia and Europe, particularly China, as well as a prolongued development arc in Sub-Saharan Africa.

Success.ai’s B2B Leads Data for South-east Asia IT Decision-makers delivers an expansive and meticulously curated database, empowering businesses to connect with key professionals and decision-makers within the dynamic IT sector across South-east Asia. With over 170M verified profiles, this dataset provides essential contact details, including work emails and direct phone numbers, ensuring highly accurate and actionable data for your business needs.

Updated continuously and validated through advanced AI-driven technology, this data is designed to enable seamless outreach, improve marketing effectiveness, and support strategic growth within the thriving IT ecosystem of South-east Asia.

Key Features of Success.ai’s South-east Asia IT Contact Data

• Extensive Regional Coverage Our database spans across the diverse markets of South-east Asia, including profiles from leading IT hubs like Singapore, Malaysia, Indonesia, Thailand, and the Philippines. This ensures comprehensive access to IT professionals and decision-makers driving technological innovation in the region.

• AI-Driven Accuracy and Updates

  99% Accuracy Rate: All emails and phone numbers undergo rigorous AI-powered validation, guaranteeing reliability. Real-Time Updates: Continuously refreshed profiles to keep your contact data relevant and up-to-date. Error-Free Precision: Reduce bounce rates and maximize the success of your campaigns.

• Industry-Specific Profiles Our dataset is meticulously tailored to the IT industry, featuring professionals from sectors like software development, IT infrastructure, cybersecurity, cloud solutions, and more.

• Customizable Data Delivery Options Choose how you want to access the data:

  API Integration: Seamlessly integrate our data into your CRM or sales platform. Custom Flat Files: Receive datasets tailored to your business requirements for easy management.

Why Choose Success.ai?

• Best Price Guarantee We provide unparalleled value for verified contact data, offering the most competitive pricing in the market while ensuring top-notch quality.

• Compliance-Ready and Ethical Our data collection and processing practices adhere to international compliance standards, including GDPR and CCPA, ensuring you can use the data ethically and confidently.

• Strategic Business Applications Success.ai’s South-east Asia IT contact data enables various business operations:

Targeted Marketing: Leverage highly accurate contact details to execute region-specific marketing campaigns. Sales Outreach: Connect with key IT decision-makers to close deals efficiently. Recruitment Support: Access up-to-date profiles to source top IT talent in South-east Asia. Partnership Development: Build relationships with industry leaders and potential collaborators in the IT sector. Market Research: Analyze demographic and firmographic trends to refine your strategies.

• Data Highlights 170M+ Verified Professional Profiles 50M Direct Phone Numbers 700M Global Professional Profiles 70M Verified Company Profiles

Key APIs for Seamless Integration - Enrichment API Keep your contact data accurate and up-to-date with real-time profile enrichment, ensuring that your campaigns are always targeting the right professionals.

• Lead Generation API Optimize your lead generation efforts with verified contact details for IT decision-makers across South-east Asia, supporting up to 860,000 API calls per day.

Use Cases: 1. IT Marketing Excellence Launch campaigns targeting IT professionals and decision-makers in South-east Asia with verified emails and phone numbers for high conversion rates.

1. Sales Pipeline Enhancement Build a robust sales funnel by connecting directly with key contacts in IT organizations across the region.

2. Recruitment and Talent Acquisition Access updated profiles of IT professionals to source and recruit top talent efficiently.

3. Business Growth and Networking Develop partnerships and expand your reach within South-east Asia’s fast-growing IT market.

4. Strategic Market Insights Use enriched data to gain insights into the IT industry, helping you make informed business decisions.

What Makes Success.ai the Premier Choice?

• AI-Validated Accuracy: Ensuring every contact is verified for optimal campaign performance.
• Comprehensive Reach: Covering IT professionals from major cities to emerging tech hubs across South-east Asia.
• Flexible Data Access: Choose from multiple delivery options tailored to your business needs.
• Ethical Compliance: Operate with confidence, knowing your data usage adheres to global standards.

Experience unparalleled business growth with Success.ai’s B2B Contact Data for South-east Asia IT Decision-makers. Our verified dataset, backed by AI technology and compliance assurance, helps you connect with the right people, at the right time, for the right outcomes.

No one beats us on price. Period.

Central Asia, site of the historic Silk Road trade network, has long been a conduit for the movement of people, energy, and mineral resources between Europe and Asia. Once part of the former Soviet Union, this region was and continues to be an important producer of base and precious metals, rare metals (RM), including niobium, tantalum, and beryllium, and a past producer of rare earth elements (REE). The Tien Shan and Pamir Mountains regions, encompassing parts of Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan, and Turkmenistan, are of significant interest for mineral exploration as these regions are thought to host substantial undeveloped and undiscovered resources of REE and RM. Based on this legacy, and as an emerging REE and RM producing region, the Central Asian countries are implementing mining sector reforms to create a more attractive investment environment for domestic and foreign mining interests. During the most recent increase in REE prices, beginning in 2009 and culminating in a dramatic price spike in 2011, much mineral exploration activity for REE was undertaken in Kazakhstan, Kyrgyzstan, and Tajikistan. In order to assess the mineral potential for REE in Central Asia, the U.S. Geological Survey began in 2012 compiling an inventory of REE-RM occurrences in that region. These occurrences range in development status from mineral showings to previously developed deposits. Completed in 2016, the inventory consists of 384 REE-RM occurrences, including 160 in Kazakhstan, 75 in Kyrgyzstan, 60 in Tajikistan, 2 in Turkmenistan, and 87 in Uzbekistan. The inventory dataset includes detailed information on location, mineral deposit type, geology, production, resources, and development status. Four important groups of REE-RM mineral deposit types were recognized: (1) carbonatite and alkaline igneous rock-related deposits; (2) pegmatite and skarn/greisen deposits; (3) weathered-crust deposits, including laterite, derived from weathering of other REE-RM mineral deposits; and (4) sediment-hosted uranium deposits. This inventory is released as a database in two formats, a Microsoft Excel workbook and an ESRI ArcGIS 10.5 point feature class dataset built from the Excel workbook. The Excel workbook also includes data field definitions, explanations of the terminology and abbreviations, and references.

🌍 Global B2B Person Dataset | 755M+ LinkedIn Profiles | Verified & Bi-Weekly Updated Access the world’s most comprehensive professional dataset, enriched with over 755 million LinkedIn profiles. The Forager.ai Global B2B Person Dataset delivers work-verified professional contacts with 95%+ accuracy, refreshed every two weeks. Ideal for recruitment, sales, research, and talent mapping, it provides direct access to decision-makers, specialists, and executives across industries and geographies.

Dataset Features Full Name & Job Title: Up-to-date first/last name with current professional role.

Emails & Phone Numbers: AI-validated work and personal email addresses, plus mobile numbers.

Company Info: Current employer name, industry, and company size (employee count).

Career History: Detailed work history with job titles, durations, and role progressions.

Skills & Endorsements: Extracted from public LinkedIn profiles.

Education & Certifications: Universities, degrees, and professional certifications.

Location & LinkedIn URL: City, country, and direct link to public LinkedIn profile.

Distribution Data Volume: 755M+ total profiles, with 270M+ containing full contact information.

Formats Available: CSV, JSON via S3 or Snowflake; API for real-time access.

Access Methods: REST API, Enrichment API (lookup), full dataset delivery, or custom solutions.

Usage This dataset is ideal for a variety of applications:

Executive Recruitment: Source passive talent, build role-based maps, and assess mobility.

Sales Intelligence: Find decision-makers, personalize outreach, and trigger campaigns on job changes.

Market Research: Understand talent concentration by company, geography, and skill set.

Partnership Development: Identify key stakeholders in target firms for business development.

Talent Mapping & Strategic Hiring: Build full organizational charts and skill distribution heatmaps.

Coverage Geographic Coverage: Global – including North America, EMEA, LATAM, and APAC.

Time Range: Continuously updated; profiles refreshed bi-weekly.

Demographics: Cross-industry coverage of seniority levels from entry-level to C-suite, across all sectors.

License CUSTOM

Who Can Use It Recruiters & Staffing Firms: For building target lists and sourcing niche talent.

Sales & RevOps Teams: For targeting by department, title, or decision-making authority.

VCs & PE Firms: To assess leadership teams and monitor executive movement.

Data Scientists & Analysts: To train models for job mobility, hiring trends, or org structure prediction.

B2B Platforms: For enriching internal databases and powering account-based marketing (ABM).

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for EMPLOYMENT RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.