Population densities for Pacific Island Countries and Territories based on mid-year population projections and available informaiton about land area.

Find more Pacific data on PDH.stat.

Spatial datasets utilized to conduct the spatial analysis and additional information from the research article: Coastal proximity of populations in 22 Pacific Island Countries and Territories. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223249 https://sdd.spc.int/mapping-coastal

This dataset is grouped by service provider specialty, and provides information about the number of recipients, number of claims, and dollar amount for given diagnosis claims. Restricted to claims with service date between 01/2012 to 12/2017. Restricted to claims with a primary diagnosis only. Restricted to top 100 most frequent diagnosis codes that are marked as primary diagnosis of a claim. Provider is the rendering provider marked in the claim. Provider specialty is the primary specialty of the rendering provider. This data is for research purposes and is not intended to be used for reporting. Due to differences in geographic aggregation, time period considerations, and units of analysis, these numbers may differ from those reported by FSSA.

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Basic description

▶ You can check the floating population information of Seoul based on the base station signal information for one month. ▶ Please use the data as it does not reflect the entire floating population information as data extracted based on the data of SK Telecom. ▶ So far, February data has been uploaded.

Data source

• https://www.bigdatahub.co.kr/index.do

Population Raster Palau 2020

Data Input: Household locations from 2015 Household listing and population at Enumeration Area level extracted from 2015 Population and Housing Census conducted by Palau's Bureau of Budget & Planning Year Population Growth Rate of 0.6 % has been applied to update population up to 2020

Household locations vector layer transformed into a 100m resolution raster.

Transport for NSW provides projections of workforce at the small area (Travel Zone or TZ) level for NSW. The latest version is Travel Zone Projections 2024 (TZP24), released in January 2025. TZP24 replaces the previously published TZP22. The projections are developed to support a strategic view of NSW and are aligned with the NSW Government Common Planning Assumptions. TZP24 Workforce Projections cover persons who reside in Occupied Private Dwellings, aged 15 years and over, and are presented by their usual place of residence. The following Workforce variables are presented in TZP24: Employed People, 15 years and over Unemployed People, 15 years and over People not in the workforce, 15 years and over The projections in this release, TZP24, are presented annually from 2021 to 2031 and 5-yearly from 2031 to 2066, and are in TZ21 geography. Please note, TZP24 is based on best available data as at early 2024 and the projections incorporate results of the National Census conducted by the ABS in August 2021. Key Data Inputs used: TZP24 Population and Dwellings projections Workforce participation rates - NSW Treasury Historical labour force data - ABS Labour Force Survey For a summary of the TZP24 Projections method please refer to the TZP24 Factsheet. For more detail on the projection process please refer to the TZP24 Technical Guide. Additional land use information for population and employment as well as Travel Zone 2021 boundaries for NSW (TZ21) and concordance files are also available for download on the Open Data Hub. A visualisation of the workforce projections is available on the Transport for NSW Website. Cautions The TZP24 dataset represents one view of the future aligned with the NSW Government Common Planning Assumptions population and employment projections. The projections are not based on specific assumptions about future new transport infrastructure, but do take into account known land-use developments underway or planned, and strategic plans. TZP24 is a strategic state-wide dataset and caution should be exercised when considering results at detailed breakdowns. The TZP24 outputs represent a point in time set of projections (as at early 2024). The projections are not government targets. Travel Zone (TZ) level outputs are projections only and should be used as a guide. As with all small area data, aggregating of travel zone projections to higher geographies leads to more robust results. As a general rule, TZ-level projections are illustrative of a possible future only. More specific advice about data reliability for the specific variables projected is provided in the “Read Me” page of the Excel format summary spreadsheets on the TfNSW Open Data Hub. Caution is advised when comparing TZP24 with the previous set of projections (TZP22) due to addition of new data sources for the most recent years, and adjustments to methodology. Further cautions and notes can be found in the TZP24 Technical Guide

This point datalayer contains the location of community health centers (CHCs) in Massachusetts. The layer was produced by the Massachusetts Department of Public Health (MA DPH) Center for Environmental Health (CEH) GIS program. The source material was provided by Tina Ford Wright, Publications and Marketing Assistant, Massachusetts League of Community Health Centers, a.k.a. "the League," (http://www.massleague.org). The League defines a community health center as a non-profit community-based organization that offers comprehensive primary and preventive health care, including medical, social and/or mental health services, to anyone in need regardless of their medical status, ability to pay, culture or ethnicity.CHCs are grouped into Main and Satellite locations. Main CHCs may have one or more satellite locations (also known as access points). The MCHC_CODE item defines the affiliation between main CHCs and their satellites.

CHCs vary by both the facility and/or building type in which they are located, scope of clinical services offered, and target patient population(s). The CEH GIS program used the MassGIS Hospitals, Schools, Colleges and Universities, and Prisons datalayers, and Internet Web sites in the case of homeless shelters, to derive the locations of health centers in these facilities. Health centers known to be administrative offices are attributed accordingly. With respect to clinical services, this GIS datalayer makes no distinction among CHCs. An exception is eye care and dental service providers that are indicated in the EYE and DENTAL fields. No information regarding target patient populations is explicitly defined, though assumptions may be based on health center name and/or location.

In all cases, patients seeking care should contact the CHCs directly to verify availability of clinical services, hours, etc., rather than rely on the information contained in this GIS datalayer, as such information is subject to change.

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Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

Find more Pacific data on PDH.stat.

Access this dataset from the Pacific Data Hub

About this dataset

Context

The dataset tabulates the Center population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Center. The dataset can be utilized to understand the population distribution of Center by age. For example, using this dataset, we can identify the largest age group in Center.

Key observations

The largest age group in Center, ND was for the group of age 30 to 34 years years with a population of 71 (13.92%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Center, ND was the 20 to 24 years years with a population of 4 (0.78%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Center is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Center total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Center Population by Age. You can refer the same here

Historical data of internet users per 100 people since 1954

The indicator measures the percentage of population connected to waste water treatment systems with at least secondary treatment. Thereby, waste water from urban sources or elsewhere is treated by a process generally involving biological treatment with a secondary settlement or other process, resulting in a removal of organic material that reduces the biochemical oxygen demand (BOD) by at least 70 % and the chemical oxygen demand (COD) by at least 75 %.

About this dataset

Context

The dataset tabulates the data for the Richland Center, WI population pyramid, which represents the Richland Center population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Richland Center, WI, is 23.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Richland Center, WI, is 39.8.
• Total dependency ratio for Richland Center, WI is 63.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Richland Center, WI is 2.5.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Richland Center population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Richland Center for the selected age group is shown in the following column.
• Population (Female): The female population in the Richland Center for the selected age group is shown in the following column.
• Total Population: The total population of the Richland Center for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Richland Center Population by Age. You can refer the same here

As of March 2025, there were a reported 5,426 data centers in the United States, the most of any country worldwide. A further 529 were located in Germany, while 523 were located in the United Kingdom. What is a data center? A data center is a network of computing and storage resources that enables the delivery of shared software applications and data. These facilities can house large amounts of critical and important data, and therefore are vital to the daily functions of companies and consumers alike. As a result, whether it is a cloud, colocation, or managed service, data center real estate will have increasing importance worldwide. Hyperscale data centers In the past, data centers were highly controlled physical infrastructures, but the cloud has since changed that model. A cloud data service is a remote version of a data center – located somewhere away from a company's physical premises. Cloud IT infrastructure spending has grown and is forecast to rise further in the coming years. The evolution of technology, along with the rapid growth in demand for data across the globe, is largely driven by the leading hyperscale data center providers.

Two practical tips: 1) To open your selected hub, click its link on the left side of the screen, not the "Download" button on the right side; 2) Loading can be slow - up to one minute. These are trial versions, so feedback on your experience using the tools would be most welcome. For any queries or comments, please contact Veronica.Tuffrey@london.gov.uk 27/11/24 Please note the bug affecting data downloads has been fixed. You can now control the volume of data copied or downloaded via the filters and/or changing the number of rows visible in the table.

This hosted feature layer has been published in RI State Plane Feet NAD 83.Census Designated Places (CDP) delineated by the US Census Bureau to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. Most boundaries represented by this shapefile are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). Limited updates that occurred after January 1, 2013, such as newly incorporated places, are also included. The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

About this dataset

Context

The dataset tabulates the data for the Milton Center, OH population pyramid, which represents the Milton Center population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Milton Center, OH, is 40.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Milton Center, OH, is 10.7.
• Total dependency ratio for Milton Center, OH is 50.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Milton Center, OH is 9.4.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Milton Center population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Milton Center for the selected age group is shown in the following column.
• Population (Female): The female population in the Milton Center for the selected age group is shown in the following column.
• Total Population: The total population of the Milton Center for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Milton Center Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Milton Center population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Milton Center. The dataset can be utilized to understand the population distribution of Milton Center by age. For example, using this dataset, we can identify the largest age group in Milton Center.

Key observations

The largest age group in Milton Center, OH was for the group of age 40 to 44 years years with a population of 34 (14.17%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Milton Center, OH was the 65 to 69 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Milton Center is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Milton Center total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Milton Center Population by Age. You can refer the same here