Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Circle, MT population pyramid, which represents the Circle 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Circle Population by Age. You can refer the same here
Mali Circle Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online.The 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2023. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available: Country Region
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
NEXIS population density exposure is a web map service displaying the number of people per NEXIS residential building within a neighbourhood radius. Population density is calculated by the number of people within 10sqkm, 5sqkm, 1sqkm, 500sqm and 100sqm.
population density for a five mile radius around Bacons Bridge within Dorchester county
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Social Circle, GA population pyramid, which represents the Social Circle 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Social Circle Population by Age. You can refer the same here
JFMA cases and the covariates tested and used in our modelThis data has all variables used in the statistical model as they entered the generalized linear model and the generalized linear mixed model. The variables included are (in the order they appear): year, kebeleID, JFMA total cases, log expected cases, scaled log ratio of SOND cases to the expected SOND cases, scaled DJF mean temperature in degree Celsius, scaled DJF total rainfall in mm, scaled population density from overlapping circles of 5km radius, scaled population density from overlapping circles of 10km radius, scaled weighted distance to roads, scaled inverse square distance to perennial water bodies, scaled average soil water holding capacity, scaled average slope, scaled average NDVI, scaled SST anomalies from the Nino 3.4 region, and IRS status (0/1).covariates_std.csvCount of neighboring kebelesThis data set contains the count of kebeles neighboring each kebele. This file should be used in combination with the Nieghbo...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Population density and GDP density of all county-level administrative regions in China's coastal areas in 2016; population density and GDP density of each buffer zone formed by buffering with 1km step length in GIS starting from the coastline.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Number of trap-sites, detection area (D.A.) angle and radius, trap-rates, and density estimates for each stratum, used for the calculation of roe deer density estimated by REM in the Italian Apennines.
Aim: Invasive plants may evolve a suite of distinctive traits during spread in the new range. Among these traits, dispersal ability is an important trait determining the invasion speed of exotic plants. There is evidence that higher dispersal ability is favored at the invasion front, where population density may be low. However, no study has explicitly tested how planting density in a common garden affects the dispersal ability of invasive plants. Location: Hainan island of China. Methods: In this study, using 27 populations of an invasive plant, Mikania micrantha, which is expanding its range on Hainan island of China, we examine how three dispersal-related traits (i.e., dispersal ability, fruit mass, and pappus radius) change with distance from invasion centre and field population density, and how planting density in a common garden affects dispersal traits. Results: Dispersal traits did not change with distance from the invasion centre and field population cover either in the natural..., , , # This is the raw data showing the population information, treatments, and dispersal traits of the 27 Mikania micrantha populations.
In the first page, data of the common garden experiment are shown. These include block, planting density treatments, pappus radius, fruit mass, and area-mass ratio (AMR). A 'Novalue' cell indicates that the corresponding plants did not set any fruits. In the second page, data in the natural environment are shown. These include pappus radius, fruit mass, and area-mass ratio (AMR). In each page, the population origin (western or eastern), distance from invasion center, field cover, and frequency of field occurance of each of the 27 populations are also shown.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Interaction between child density and number of siblings as predictor of respiratory symptoms.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Circle Pines, MN population pyramid, which represents the Circle Pines 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Circle Pines Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Characteristics of included infants from the BILD cohort.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Risk factors for respiratory symptoms.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Drivers used to analyze mangrove land use due to human pressure by microregion on the Brazilian Amazon coast.
A Certificate of Necessity (“CON”) is required to operate a ground ambulance and transport patients in Arizona. The Arizona Department of Health Services (“ADHS”) regulates the operating and response times of ambulance services to meet the needs of the public and ensure adequate service, pursuant to Arizona Revised Statute (“A.R.S.”) § 36-2232. Under A.R.S. § 36-2232(A)(3), response times shall follow uniform standard definitions for urban, suburban, rural, and wilderness geographic areas within a CON. Under Arizona Administrative Code (“A.A.C.”) R9-25-901, “Scene locality” is defined as an urban, suburban, rural, or wilderness area. Scene locality is sometimes also referred to as “urbanicity”. The current scene locality / urbanicity maps were developed based on the 2020 Census urban areas and block groups, to geographically represent areas within a CON defined under A.A.C. R9-25-901 as the following:“Urban area” means a geographic region delineated as an urbanized area by the United States Department of Commerce, Bureau of the Census. “Suburban area” means a geographic region within a 10-mile radius of an urban area that has a population density equal to or greater than 1,000 residents per square mile.“Rural area” means a geographic region with a population of less than 40,000 residents that is not a suburban area. “Wilderness area” means a geographic region that has a population density of less than one resident per square mile.Additional Information:The 2010 definition for urbanized areas is applied, as the 2020 Census doesn't delineate urban into two categories.Updates occur as needed based on the most recent decennial census, adhering to Administrative Statute and Code.Regulatory authority and definitions for scene localities can be found in the Statute and Rule Book, under A.R.S. § 36-2232 and A.A.C. R9-25-901.For more information about the Certificates of Necessity program, please visit the ADHS Ground Ambulance Program website or call (602) 364-3150.Last Updated: Update Frequency: As Needed; requires Administrative Code change
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Earthworm physical parameters. rf: worm radius; lb: tunnel length; dlbdt: penetration rate; n: population density; P: pressure.
This map shows bus routes and broadcasting stations in New South Wales. For broadcasting stations, it shows location of commercial, national and regional broadcasting stations. It also shows licences and population within a 25 mile radius of each broadcasting station and, for bus routes, the route and bus number. There is an alphabetical list of the bus routes shown on the map.
The scale is 48 miles = 2 inches.
(SR Map No.52717). 1 map.
Note:
This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.
The Gunnison sage-grouse (Centrocercus minimus) habitat suitability surface for Dove Creek satellite population represented here reflects breeding season at a patch scale context (30 m x 30 m pixel and radius window extents [radius] of 45 m, 120 m, 180 m, 270 m, 390 m, and 570 m). Habitat suitability estimated for areas constrained within the thresholded landscape model (containing 95% of use locations) developed for Colorado Parks and Wildlife critical habitat extent (southwestern Colorado). We developed habitat selection models for Gunnison sage-grouse (Centrocercus minimus), a threatened species under the U.S. Endangered Species Act. We followed a management-centric modeling approach that sought to balance the need to evaluate the consistency of key habitat conditions and improvement actions across multiple, distinct populations, while allowing context-specific environmental variables and spatial scales to nuance selection responses. Models were developed for six isolated satellite populations (San Miguel, Crawford, Piñon Mesa, Dove Creek, Cerro Summit-Cimarron-Sims, and Poncha Pass) from use locations collected between 1991 and 2016 (see larger citation for map of population boundaries). For each population, models were developed at two life stages (breeding and summer) and at two hierarchical scales (landscape and patch). We used multi-scale and seasonal resource selection analyses to quantify relationships between environmental conditions and sites used by animals. These resource selection function models relied on spatial data describing habitat conditions at different spatial scales, where environmental conditions differ, and habitat selection occur at different spatial scales for different available resources.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Thematic maps for land use in Rhineland-Palatinate according to selected land types. Share of settlement and traffic area, forest area and agricultural area in %. Population density in inhabitants per qKm. Status 31.12.2022: Area for vegetation, percentage of floor area in %, circular plane
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Circle, MT population pyramid, which represents the Circle 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Circle Population by Age. You can refer the same here