The trend-based projections include a range of variants based on different assumptions about future levels of migration. The projections are produced for all local authorities in England & Wales. The datasets include summary workbooks with population and summary components of change as well as zip archives with the full detailed outputs from the models, including components of change by single year of age and sex. The most recent set of trend-based population projections currently available are the 2022-based projections (August 2024). Additional documentation, including updated information about methodologies and assumptions will be published in the coming days. For more information about these projections, see the accompanying blog post. The 2022-based projections comprise three variants based on different periods of past migration patterns and assumed levels of future fertility rates. Trend-based projections don't explicitly account for future housing delivery. For most local planning purposes we generally recommend the use of housing-led projections These projections are based on modelled back series of population estimates produced by the GLA and available here * 14 July 2023 - following a minor update to the modelled population estimates series, we have made available an additional version of the projections based on these updated inputs. At this time we have no plans to update or replace the outputs and documentation published in January 2023. However, we recommend users looking to use the projections in analysis or as inputs to onward modelling consider using these updated outputs. Documentation page Back to projections homepage

The data set used be the blog post "An experiment in open science: exoplanet population inference" published at https://dfm.io/posts/exopop/

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. For more information, visit: https://ai.facebook.com/blog/mapping-the-world-to-help-aid-workers-with-weakly-semi-supervised-learning

The contents of the dataset relate to the population living in the province of Trento. The dataset, including resources in PDF format, is also available on the Employment Agency’s Open Data Portal at the URL: https://www.agenzialavoro.tn.it/Open-Data/I-dataset-available/Historical-Series/Demography Data are grouped by year and gender. Data are expressed in absolute values. The metadata ‘time coverage’ refers to the time interval taken into account by the Historical Series which is identified in the file name with the suffix _ST. Time coverage refers to 31 December of each year. The dataset is updated to 31 December each year with the addition of a new time series. The data released in CSV format are: Machine Readable, identified in the file name with the suffix _MR and validated with the Good Tables library. https://okfnlabs.org/blog/2015/02/20/introducing-goodtables.html ATTRIBUTION: data processed by the Office for the Study of Policies and the Labour Market on ISTAT data.

Originally published at Haldane's sieve http://haldanessieve.org/2012/09/05/the-date-of-interbreeding-between-neandertals-and-modern-humans/ . Posted to Figshare, to make a version for Pubmed commons.

In May 2024, ***** percent of the Polish population had an online blog, a vlog (video blog), or a website. This was a decrease of *** percent as compared to the year 2012.

On 28 June 2022 ONS released the first results from the 2011 Census of England and Wales comprising for each local authority the estimated population at census day (21 March 2021) and the number of households. Population estimates are by five-year age band and sex. Estimates of responses rates for each local authority were also published. Read our blog post which describes how the census data relates to other population estimates and some of the pitfalls to avoid when interpreting the numbers.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

As of November 2023, nearly ** percent of female internet users in the United States and around ** percent of male users went online to publish blog posts or upload self-made video content. Overall, approximately ** percent of the U.S. online population reported publishing original content on the internet.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The housing-led projections reconcile future population growth with available housing supply by incorporating a housing supply trajectory. The housing-led projections are recommended for most local planning purposes, and the 10-year variant can be considered the default variant. Users in London local authorities are able to request bespoke projections based on alternative housing scenarios through the GLA Population Projection Service. The most recent set of projections are the 2022-based round (August 2024) which comprise three variants based on different migration and fertility assumptions. All 2022-based projections are based on a common scenario of assumed future housing delivery that is derived from capacity identified in the 2017 Strategic Housing Land Availability Assessment. These projections are based on modelled back series of population estimates produced by the GLA and available here. Additional documentation, including updated information about methodologies and assumptions will be published in the coming days. For more information about these projections, see the accompanying blog post. The housing-led projections include projections for London Boroughs and London wards (2022 boundaries). The release also includes components of change (births, deaths and migration data). Documentation page Back to projections homepage

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:
- macroregion (admin-1 including region)
- region (admin-2 including state, province, department, governorate)
- macrocounty (admin-3 including arrondissement)
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)

The dataset also contains human settlement points and polygons for:
- localities (city, town, and village)
- neighbourhoods (borough, macrohood, neighbourhood, microhood)

The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names.

Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

This statistic shows the results of a survey on the number of internet users who wrote a blog or ran their own homepage in Germany from 2013 to 2016. In 2013, there were about 2.15 million internet users among the German-speaking population aged 14 years and older, who frequently worked on their own blog or website.

The primary aim of the survey was to gain a 'snapshot' of what Australian libraries were doing with blogs and wikis. Methodology: An online survey. The population was Australian university, public and special libraries. The sampling frame was constructed from university library websites, State Library public library listings and the National Library of Australia's listing for special libraries. Branch libraries were treated as individual entries. Entries that were not relevant to the survey content, for example prison libraries, were removed from the sampling frame. To produce the correct sample sizes, every 10th library was sampled. The response rate was 21%. Once the data was weighted, the data was analysed using SPSS 13.0. Funding Body: Ray Choate Scholarship, Australian Library and Information Association (ALIA).

This statistic shows the results of a survey on the frequency of posting comments in blogs and discussion forums in Germany from 2013 to 2016. In 2016, there were about **** million internet users among the German-speaking population aged 14 years and older, who posted comments in blogs of other users or wrote contributions in discussion forums frequently.

This statistic shows the number of internet users who used the internet for reading posts in forums and blogs in Germany from 2013 to 2015, by usage frequency. In 2013, there were roughly 3.95 million people among the German-speaking population, who used the internet frequently to read posts in internet forums and blogs.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.