Our Population Density Grid Dataset for Oceania offers detailed, grid-based insights into the distribution of population across cities, towns, and rural areas. Free to explore and visualize, this dataset provides an invaluable resource for businesses and researchers looking to understand demographic patterns and optimize their location-based strategies.

By creating an account, you gain access to advanced tools for leveraging this data in geomarketing applications. Perfect for OOH advertising, retail planning, and more, our platform allows you to integrate population insights with your business intelligence, enabling you to make data-driven decisions for your marketing and expansion strategies.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: male population, and urban population.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: birth rate, and population.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: ISO 3 country code, and population.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: unemployment, and female population.

The Country-Level Population and Downscaled Projections Based on Special Report on Emissions Scenarios (SRES) B2 Scenario, 1990-2100, were based on the UN 1998 Medium Long Range Projection for the years 1995 to 2100. The official version projects population for 8 regions of the world including Africa, Asia (minus India and China), India, China, Europe, Latin America, Northern America, and Oceania. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

Climate change adaptation is vital for Pacific SIDS. Long-term effects, including the increasing frequency and severity of extreme events such as high rainfall, droughts, tropical cyclones, and storm surges are affecting the people in this region. Coupled with non-climate drivers, such as inappropriate land use, overexploitation of resources, increasing urbanization and population increase, development in the region is increasingly undermined. For the low lying atolls, the likely economic disruption from climate change pressures could be catastrophic and potentially lead to population relocation and therefore social and cultural disruption and disproportion. Failure to reduce vulnerability may result in loss of future risk management opportunities when impacts may be greater and options fewer. Available online Call Number: [EL] Physical Description: 136 p.

World Religions Across Regions

Analyzing Adherence Across Regions, States and the Global System

By Correlates of War Project [source]

About this dataset

The World Religion Project (WRP) is an ambitious endeavor to conduct a comprehensive analysis of religious adherence throughout the world from 1945 to 2010. This cutting-edge project offers unparalleled insight into the religious behavior of people in different countries, regions, and continents during this time period. Its datasets provide important information about the numbers and percentages of adherents across a multitude of different religions, religion families, and non-religious affiliations.

The WRP consists of three distinct datasets: the national religion dataset, regional religion dataset, and global religion dataset. Each is focused on understanding individually specific realms for varied analysis approaches - from individual states to global systems. The national dataset provides data on number of adherents by state as well as percentage population practicing a given faith group in five-year increments; focusing attention to how this number evolves from nation to nation over time. Similarly, regional data is provided at five year intervals highlighting individual region designations with one modification – Pacific Ocean states have been reclassified into their own Oceania category according to Country Code Number 900 or above). Finally at a global level – all states are aggregated in order that we may understand a snapshot view at any five-year interval between 1945‐2010 regarding relationships between religions or religio‐families within one location or transnationally.

This project was developed in three stages: firstly forming a religions tree (a systematic classification), secondly collecting data such as this provided by WRP according to that classification structure – lastly cleaning the data so discrepancies may be reconciled and imported where needed with gaps selected when unknown values were encountered during collection process . We would encourage anyone wishing details undergoing more detailed reading/analysis relating various use applications for these rich datasets - please contact Zeev Maoz (University California Davis) & Errol A Henderson _(Pennsylvania State University)

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

The World Religions Project (WRP) dataset offers a comprehensive look at religious adherence around the world within a single dataset. With this dataset, you can track global religious trends over a period of 65 years and explore how they’ve changed during that time. By exploring the WRP data set, you’ll gain insight into cross-regional and cross-time patterns in religious affiliation around the world.

Research Ideas

• Analyzing historical patterns of religious growth and decline across different regions
• Creating visualizations to compare religious adherence in various states, countries, or globally
• Studying the impact of governmental policies on religious participation over time

Acknowledgements

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

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: WRP regional data.csv | Column name | Description | |:-----------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------| | Year | Reference year for data collection. (Integer) | | Region | World region according to Correlates Of War (COW) Regional Systemizations with one modification (Oceania category for COW country code ...

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: individuals using the Internet, and female population.

Context

OpenAddresses's goal is to connect the digital and physical worlds by sharing geographic coordinates, street names, house numbers and postal codes.

Content

This dataset contains one data file for each of these countries in Asia and Oceania.

• United Arab Emirates - arab_emirates.csv
• Australia - australia.csv
• China - china.csv
• Iceland - iceland.csv
• Israel - israel.csv
• Japan - japan.csv
• Kazakhstan - kazakhstan.csv
• Kuwait - kuwait.csv
• New Caldonia - new_caldonia.csv
• New Zealand - new_zealand.csv
• Qatar - qatar.csv
• Saudi Arabia - saudiarabia.csv
• Singapore - singapore.csv
• South Korea - south_korea.csv
• Taiwan - taiwan.csv

Field descriptions:

• LON - Longitude
• LAT - Latitude
• NUMBER - Street number
• STREET - Street name
• UNIT - Unit or apartment number
• CITY - City name
• DISTRICT - ?
• REGION - ?
• POSTCODE - Postcode or zipcode
• ID - ?
• HASH - ?

Acknowledgements

Data collected around 2017-07-25 by OpenAddresses (http://openaddresses.io).

Address data is essential infrastructure. Street names, house numbers and postal codes, when combined with geographic coordinates, are the hub that connects digital to physical places.

Data licenses can be found in LICENSE.txt.

Data source information can be found at https://github.com/openaddresses/openaddresses/tree/9ea72b079aaff7d322349e4b812eb43eb94d6d93/sources

Inspiration

Use this dataset to create maps in conjunction with other datasets to map weather, crime, or how your next canoing trip.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: central government debt, and urban population.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: female population, and political leader.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: continent, and urban population living in areas where elevation is below 5 meters .

One of the greatest challanges we face in protecting our islands biodiversity is how to balance the needs of the people that use it, and the future of the environment. There are many reasons why the Pacific islands way of life is endangered, it is necessary to address these threats, all of them. Understand ing their causes will help to stop them, if it is possible or to change or adapt our way of life. It is necessary to focus on long term sustainability strategies, but in the mean time develop and carry out short term projects to address the immediate needs of our islands. As educators you can actively participate in the islands ecosystems, traditions and way of life protection by engaging your students in a productive and active learning experience about what the Pacific islands are facing. Available online Call Number: [EL] Physical Description: 39 p.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: carbon dioxide emissions (CO2), and male population.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: electricity production from coal sources, and female population.

This dataset is about countries in Oceania. It has 14 rows. It features 3 columns: currency, and urban population living in areas where elevation is below 5 meters .

This dataset is about countries per year in Oceania. It has 896 rows. It features 4 columns: country, ISO 3 country code, and rural population.

This dataset is about countries per year in Oceania. It has 896 rows. It features 4 columns: country, central government debt, and urban population living in areas where elevation is below 5 meters .

The Pacific Islands region is characterised by island nations with small populations scattered across an ocean area of approximately 36 million square kilometres. Less than 2 percent of this area is land. The region has a total population of around 8.5 million people. The 22 countries and territories of the Pacific include a mixture of continental islands, volcanic islands and low and raised coral atolls. These countries and territories have traditionally been divided into three groups - Melanesia (west), Polynesia (southeast) and Micronesia (north). Available online Call Number: [EL] Physical Description: 48 p.