A shapefile representing greater sage-grouse (hereafter sage-grouse) space use and lek abundance in the Bi-State Distinct Population Segment (DPS) of California and Nevada. These data were derived by combining a kernel density estimation of sage-grouse lek abundance combined with another raster representing distance to lek. The 85 percent isopleth was then used to define "high space-use."

This factsheet breaks down Camden’s population by looking at health conditions, and then by their age, sex, ethnicity, and deprivation. Understanding the size and characteristics of each segment helps us plan healthcare resources and service delivery effectively for each group, as well as the population in general.

This profile is designed to accompany the Joint Strategic Needs Assessment (JSNA) chapter on Demographics, which looks at segmenting the borough’s population by their most significant health and social care need. This supplement looks at adults (aged 18 and over) instead of the overall population, because the health and social care need segments covered in this section are more common in adults.

A global database of population segmentation data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future.

Leverage up-to-date audience targeting data trends for market research, audience targeting, and sales territory mapping.

Self-hosted consumer data curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The Consumer Data is standardized, unified, and ready to use.

Use cases for the Global Population Database (Consumer Data Data/Segmentation data)

• Ad targeting

• B2B Market Intelligence

• Customer analytics

• Marketing campaign analysis

• Demand forecasting

• Sales territory mapping

• Retail site selection

• Reporting

• Audience targeting

Segmentation data export methodology

Our location data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

• Historical population data (55 years)

• Changes in population density

• Urbanization Patterns

• Accurate at zip code and administrative level

• Optimized for easy integration

• Easy customization

• Global coverage

• Updated yearly

• Standardized and reliable

• Self-hosted delivery

• Fully aggregated (ready to use)

• Rich attributes

Why do companies choose our Population Databases

• Standardized and unified demographic data structure

• Seamless integration in your system

• Dedicated location data expert

Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

All data in Population and Demographic Census Data, grouped by overall segment. For data grouped by reporting segment, see Reporting Segments for Population and Demographic Census Data.

In 2020, the kits and assays segment represented 52.2 percent of the overall population sequencing market worldwide, and platforms accounted for 37.6 percent. Both these segments were forecast to decrease slightly in the global market share by 2030, while software tools was forecast to climb to approximately a 11.7 percent market share.

This Status Review considers the biological (demographic) criterion and the threats-based ESA listing factor criteria set forth in the 2008 Recovery Plan for the Steller Sea Lion, Eastern and Western Distinct Population Segments (Recovery Plan) (NMFS 2008), as well as the five listing factors included in section 4(a) of the ESA, which NMFS must consider when making a determination whether a species should be removed from the list of threatened species (16 U.S.C. 1533(c)(2)(B)).

As part of this status review, NMFS reviewed and evaluated the best scientific and commercial data available. NMFS considered whether either the portion of the population breeding in California or the portion of the population within the California Current System met the definition of a DPS. NMFS determined that they did not. NMFS therefore concluded that the evaluation of the status of the eastern DPS, as currently recognized under the ESA, is appropriate.

This forms part of Camden’s Joint Strategic Needs Assessment, focussing on the demographics of our population. This data shows breakdowns of Camden’s population by health conditions, age and sex, and by Camden ward, as supplementary information of the 2015 Camden population segmentation profile (https://opendata.camden.gov.uk/Health/Camden-Demographics-Population-Segmentation-2015/v6fr-wght). It provides the number of people, percentage of the whole population (prevalence) and Camden average for each breakdown. It only focuses on the population aged 18 and over and doesn’t show breakdowns for those diagnosed with learning disability or those aged under 65 who are diagnosed with dementia due to small numbers.

The segment counts by social group and species or species group for the Waterfowl Breeding Population and Habitat Survey and associated segment effort information. Three data files are included with their associated metadata (html and xml formats). Segment counts are summed counts of waterfowl per segment and are separated into two files, described below, along with the effort table needed to analyze recent segment count information. wbphs_segment_counts_1955to1999_forDistribution.csv, which represents the period prior the collection of geolocated data. There is no associated effort file for these counts and segments with zero birds are included in the segment counts table, so effort can be inferred; there is no information to determine the proportion of each segment surveyed for this period and it must be presumed they were surveyed completely. Number of rows in table = 1,988,290. wbphs_segment_counts_forDistribution.csv, which contains positive segment records only, by species or species group beginning with 2000. wbphs_segment_effort_forDistribution.csv file is important for this segment counts file and can be used to infer zero value segments, by species or species group. Number of rows in table = 365,863. wbphs_segment_effort_forDistribution.csv. The segment survey effort and location from the Waterfowl Breeding Population and Habitat Survey beginning with 2000. If a segment was not flown, it is absent from the table for the corresponding year. Number of rows in table = 65,122. Also included here is a small R code file, createSingleSegmentCountTable.R, which can be run to format the 2000+ data to match the 1955-1999 format and combine the data over the two time periods. Please consult the metadata for an explanation of the fields and other information to understand the limitations of the data.

Geodemographic Segmentation Data from Caliper Corporation contain demographic data in a way that is easy to visualize and interpret. We provide 8 segments and 32 subsegments for exploring the demographic makeup of neighborhoods across the country.

Analyze the market segmentation of the Population Health Management Solutions industry. Gain insights into market share distribution with a detailed breakdown of key segments and their growth.

This statistic shows quarterly TV reach in the United Kingdom (UK) in the third quarter of 2019, by population segment. Roughly 27 million housepersons were reached by television that quarter. A greater number of housepersons were reached by television than adults aged 16 to 34.

Based on market research, the source divided U.S. Generation Z consumers (born between January 1, 1997 and December 31, 2007) into five segments based on their behavior and attitude. The largest segment, making up 35 percent of the total, were the so-called Stress Strivers, defined by the source as "high achievers, driven by a fear of not being good enough." Authentic Activists and Secluded Perfectionists followed, with 22 percent and 20 percent, respectively.

Greater sage-grouse (Centrocercus urophasianus; hereinafter sage-grouse) is a sagebrush obligate species and widely considered an indicator species for sagebrush ecosystems and other sagebrush-dependent species (Hanser and Knick, 2011; Prochazka and others, 2023). Sagebrush ecosystems are threatened by a wide range of disturbances and anthropogenic factors, including climate change, severe drought, altered wildfire regimes, expansion of invasive species, and anthropogenic development. Collectively, these threats have led to reduced ecological integrity and sage-grouse habitat quality within the sagebrush biome (Doherty and others, 2022). Steady and long-term declines in sage-grouse populations have led to large-scale efforts to improve population performance and prevent additional loss of habitat for sage-grouse and other sagebrush-dependent species (Coates and others, 2021). Due to their complex space use and habitat selection patterns during different life stages, requirements for large intact tracts of sagebrush, declining population trends, and status as a proposed protected species, sage-grouse have become integral to land management and conservation policy throughout the western United States (Western Association of Fish and Wildlife Agencies, 2015; Doherty and others, 2022). References cited: Coates, P.S., Prochazka, B.G., Aldridge, C.L., O’Donnell, M.S., Edmunds, D.R., Monroe, A.P., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2023, Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)-Updated 1960-2022: U.S. Geological Survey Data Report 1175, 17 p., accessed December 7, 2023, at [Available at https://doi.org/10.3133/dr1175.] Doherty, K., Theobald, D.M., Bradford, J.B., Wiechman, L.A., Bedrosian, G., Boyd, C.S., Cahill, M., Coates, P.S., Creutzburg, M.K., Crist, M.R., Finn, S.P., Kumar, A.V., Littlefield, C.E., Maestas, J.D., Prentice, K.L., Prochazka, B.G., Remington, T.E., Sparklin, W.D., Tull, J.C., Wurtzebach, Z., and Zeller, K.A., 2022, A sagebrush conservation design to proactively restore America’s sagebrush biome: U.S. Geological Survey Open-File Report 2022-1081, 38 p., accessed December 6, 2023, at https://doi.org/10.3133/ofr20221081. Hanser, S.E., and Knick, S.T., 2011, Greater sage-grouse as an umbrella species for shrubland passerine birds-A multiscale assessment, chap. 19 in Knick, S.T., eds., Greater sage grouse-Ecology and conservation of a landscape species and its habitats: University of California Press, p. 474-487. [Available at https://doi.org/10.1525/california/9780520267114.003.0020.] Prochazka, B.G., Coates, P.S., O’Donnell, M.S., Edmunds, D.R., Monroe, A.P., Ricca, M.A., Wann, G.T., Hanser, S.E., Wiechman, L.A., Doherty, K.E., Chenaille, M.P., and Aldridge, C.L., 2023, A targeted annual warning system developed for the conservation of a sagebrush indicator species: Ecological Indicators, v. 148. [Available at https://doi.org/10.1016/j.ecolind.2023.110097.] Western Association of Fish and Wildlife Agencies, 2015, Greater sage-grouse population trends: an analysis of lek count databases 1965-2015: Cheyenne, Wyo., Western Association of Fish and Wildlife Agencies, 55 p., accessed 07 12, 2023, at https://ir.library.oregonstate.edu/concern/technical_reports/ng451p621

Analyze the market segmentation of the Population Health Management (PHM) industry. Gain insights into market share distribution with a detailed breakdown of key segments and their growth.

The two stocks of Steller sea lions (Eumetopias jubatus) in Alaska include an endangered western stock, recently recovering in parts of its range following decades of decline, and an eastern stock which was removed from the U.S. Endangered Species List in 2013 following increasing numbers since the 1970s. Information on overlapping distributions of eastern and western sea lions is needed for management considerations. We analyzed >30,000 sightings collected from 2000-2014 of 2,385 sea lions that were branded as pups at 10 Alaskan rookeries to examine mesoscale (mostly <500km) spatial distribution, geographic range, and geographic population structure based on natal rookery, sex, and age during breeding and non-breeding seasons. Analyses of summary movement measures (e.g., natal rookery, sex, and age-class differences in spatial distribution and geographic range) indicate wide variation in rookery-specific movement patterns. Correlations between movement measures and population...

This dataset refers to certain populations of a species that have been identified and designated for protection under the Endangered Species Act (ESA) due to their distinct characteristics and conservation needs.

This filtered view contains the population estimates for San Francisco demographic groups from the U.S. Census Bureau’s American Community Survey that are used by Controller's Office - City Performance Unit for reporting on Police Stops

San Francisco Population and Demographic Census data dataset filtered on: "reporting_segment" = 'Police Reporting Demographic Categories'

A. SUMMARY This dataset contains population and demographic estimates and associated margins of error obtained and derived from the US Census. The data is presented over multiple years and geographies. The data is sourced primarily from the American Community Survey.

B. HOW THE DATASET IS CREATED The raw data is obtained from the census API. Some estimates as published as-is and some are derived.

C. UPDATE PROCESS New estimates and years of data are appended to this dataset. To request additional census data for San Francisco, email support@datasf.org

D. HOW TO USE THIS DATASET The dataset is long and contains multiple estimates, years and geographies. To use this dataset, you can filter by the overall segment which contains information about the source, years, geography, demographic category and reporting segment. For census data used in specific reports, you can filter to the reporting segment. To use a subset of the data, you can create a filtered view. More information of how to filter data and create a view can be found here

A. SUMMARY This dataset contains population and demographic estimates and associated margins of error obtained and derived from the US Census. The data is presented over multiple years and geographies. The data is sourced primarily from the American Community Survey. B. HOW THE DATASET IS CREATED The raw data is obtained from the census API. Some estimates as published as-is and some are derived. C. UPDATE PROCESS New estimates and years of data are appended to this dataset. To request additional census data for San Francisco, email support@datasf.org D. HOW TO USE THIS DATASET The dataset is long and contains multiple estimates, years and geographies. To use this dataset, you can filter by the overall segment which contains information about the source, years, geography, demographic category and reporting segment. For census data used in specific reports, you can filter to the reporting segment. To use a subset of the data, you can create a filtered view. More information of how to filter data and create a view can be found here

The datasets contain RGB photos of Scots pine seedlings of three populations from two different ecotypes originating in the Czech Republic:Plasy - lowland ecotype,Trebon - lowland ecotype,Decin - upland ecotype.These photos were taken in three different periods (September 10th 2021, October 23rd 2021, January 22nd 2022).File dataset_for_YOLOv7_training.zip contains image data with annotations for training YOLOv7 segmentation model (training and validation sets)The dataset also contains a table with information on individual Scots pine seedlings:affiliation to parent tree (mum)affiliation to population (site)row and column in which the seedling was grown (row, col)affiliation to the planter in which the seedling was grown (box)mean RGB values of pine seedling in three different periods (B_september, G_september, R_september B_october, G_october, R_october, B_january, G_january, R_january)mean HSV values of pine seedling in three different periods (H_september, S_september, V_september, H_october, S_october, V_october, H_january, S_january, V_january)