PDF maps of building ages. Created 3/2018 by Spatial Alternatives for The Ad-Hoc Committee on Auburn's Agriculture and Natural Resource. Building ages from Auburn assessing data.

Important Note: This item is in mature support as of June 2023 and will be retired in December 2025. This map shows the median age of the U.S. population in 2022 in a multiscale map by country, state, county, ZIP Code, tract, and block group. In 2022, the median age of the population in the U.S. is 38 years of age.The popup is configured to include the following information for each geography level:Median age of total populationTotal population counts (by 5 year increments)Median age of male populationMale population counts (by 5 year increments)Median age of female populationFemale population counts (by 5 year increments)Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Map Tips Click on the Legend to view information about Median Age.Zoom and Pan any map to see synchronized view of all maps.Click on Maps area to see charts and graphs. (Please pan the map to see full extent of charts and graphs if they are cut off by map window)Zoom map in larger scale to see population information by Block Groups and Blocks.Click on the Content to see information about the level of geography.

Due to rounding, age categories may not sum to 100%. Estimates are based on provisional data and subject to change.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

The geologic time scale divides the 4.6 billion years of earths history into hierarchy of time periods. Every layer of rock corresponds to a specific time in the history of the formation of the Earth. The Precambrian era began with the formation of the Earth; it was followed by the Paleozoic, Mesozoic, and Cenozoic eras. Each of these eras is divided into periods, the periods into epochs, and epochs into ages. Paleontological studies and isotopic dating methods are used to determine the time divisions.

This data set provides forest age map products at 1-km resolution for Canada and the United States (U.S.A.). These continental forest age maps were compiled from forest inventory data, historical fire data, optical satellite data, and the images from the NASA Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) project. These input data products have various sources and creation dates as described in the source paper by Pan et al. (2011). Canadian maps were produced with data available through 2004 and U.S.A. maps with data available through 2006. A supplementary map of the standard deviations for age estimates was developed for quantifying uncertainty.

Note that the Pan et al. (2011) paper is included as a companion file with this data set and was the source of descriptions in the guide.

Forest age, implicitly reflecting the past disturbance legacy, is a simple and direct surrogate for the time since disturbance and may be used in various forest carbon analyses that concern the impact of disturbances. By combining geographic information about forest age with estimated carbon dynamics by forest type, it is possible to conduct a simple but powerful analysis of the net CO2 uptake by forests, and the potential for increasing (or decreasing) this rate as a result of direct human intervention in the disturbance/age status.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows three condensed maps of the percentage of population: under 20 years of age, 20-64 years of age, and over 64 years of age illustrated by the census division, circa 1951. Each of these maps is accompanied by a pie chart showing the percentage distribution by province and territory. The two remaining maps show urban and rural sex ratios using the number of males to 100 females by census division as of 1951. The rural sex ratio map is accompanied by a chart showing the ratio of males to 100 females by province and territory. As well, a chart accompanies the urban sex ratio map and shows the ratio of males to 100 females for chief urban centers. A set of age-sex pyramids that show the 1951 percentage distribution of males and females by quinquennial age groups for Canada, each province and the territories are also included.

This layer shows the age statistics in Tucson by neighborhood, aggregated from block level data, between 2010-2019. For questions, contact GIS_IT@tucsonaz.gov. The data shown is from Esri's 2019 Updated Demographic estimates.Esri's U.S. Updated Demographic (2019/2024) Data - Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.Additional Esri Resources:Esri DemographicsU.S. 2019/2024 Esri Updated DemographicsEssential demographic vocabularyPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

This map uses smart mapping to show two variables in one map: median age, and projected population growth from 2015-2020. This helps to showcase older communities of growth versus potential up-and-coming neighborhoods. The two variables are shown with both SIZE and COLOR. The color represents the median age, and the size represents the population growth. Areas in blue have an older population while areas in orange have a younger population. The areas with a larger symbol size show areas that will have a high increase in population from 2015 to 2020. The data was created using ArcGIS Online enrichment, using the USA Block Group Area Living Atlas Analysis Layer. The attributes come from Esri's 2015 demographic estimates.

This dataset identifies demographic and housing estimates including sex and age, race and housing units by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. JSL enriched this dataset with Latitude and Longitude information and with the map information about the land and water area of zip code tabulation areas.

This data set provides forest age map products at 1-km resolution for Canada and the United States (U.S.A.). These continental forest age maps were compiled from forest inventory data, historical fire data, optical satellite data, and the images from NASA’s Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) project. These input data products have various sources and creation dates as described in the source paper by Pan et al. (2011). Canadian maps were produced with data available through 2004 and U.S.A. maps with data available through 2006. A supplementary map of the standard deviations for age estimates was developed for quantifying uncertainty.Note that the Pan et al. (2011) paper is included as a companion file with this data set and was the source of descriptions in the guide.Forest age, implicitly reflecting the past disturbance legacy, is a simple and direct surrogate for the time since disturbance and may be used in various forest carbon analyses that concern the impact of disturbances. By combining geographic information about forest age with estimated carbon dynamics by forest type, it is possible to conduct a simple but powerful analysis of the net CO2 uptake by forests, and the potential for increasing (or decreasing) this rate as a result of direct human intervention in the disturbance/age status.

Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

The landscape age map shows the length of time (in thousands of years) that Arctic landscapes have been available for plant colonization and the development of plant communities (Raynolds et al 2008). For most areas, this would be the time since the most recent deglaciation. Other areas first became available for plant colonization after emerging from under water due to drainage of glacial lakes or isostatic rebound. Areas for which no Wisconsin glaciation is known, were coded as 9999.These data came mostly from Ehlers, J. and P. L. Gibbard (eds., 2004). The map was based on the Circumpolar Arctic Vegetation Map (CAVM Team 2003) shapefile, with an attribute added for landscape age. Polygon boundaries were modified where necessary to follow glaciation data. Back to Circumpolar Arctic Vegetation Map Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes: AVHRR Biomass 2010, AVHRR Biomass Trend 1982-2010, AVHRR False Color Infrared 1993-1995, AVHRR NDVI 1993-1995, AVHRR NDVI Trend 1982-2010, AVHRR Summer Warmth Index 1982-2003, Bioclimate Subzone, Coastline and Treeline, Elevation, Floristic Provinces, Lake Cover, Landscape Physiography, Landscape Age, Substrate Chemistry, Vegetation References Elvebakk, A. 1999. Bioclimate delimitation and subdivisions of the Arctic. Pages 81-112 in I. Nordal and V. Y. Razzhivin, editors. The Species Concept in the High North - A Panarctic Flora Initiative. The Norwegian Academy of Science and Letters, Oslo. Yurtsev, B. A. 1994. Floristic divisions of the Arctic. Journal of Vegetation Science 5:765-776.

Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

We constructed a framework for estimating China’s forest age by combining remote sensing time series analysis and machine learning algorithms based on over 50 000 field measurements and a remote sensing dataset. We use the proposed framework to generate a spatially explicit forest age map for China for the year 2020 and with 30 m resolution. The map is validated by comparison with independent field plots, which produces an R² for the estimated forest-age map ranging from 0.51 to 0.63. Nationally, the average forest age is 56.1 years (standard deviation =32.7 years).

This feature layer provides the age of the population in the City of Tempe by census block group. The feature layer was created using a join of Tempe Census Block Group boundaries and ACSDT5Y2018.B01001 - age, downloaded from the U.S. Census Bureau.

This thematic map of coroplets represents the demographic indicator Population. Old age index, calculated as 'population aged 65 or over divided by the population aged 0 to 14 years' for the territorial delimitation of large counties of the Canary Islands, from the Municipal Register of Inhabitants (PMH) at this date.

This statistic illustrates the share of people who used their cell phone for maps/GPS navigation (in the last four weeks) in the United States as of 2023. The results were sorted by age. As of *************, some ** percent of respondents aged 18 to 29 years stated they used their cell phone for maps/GPS navigation. The survey was conducted in 2023, among ***** respondents. Access millions of exclusive survey results with Statista Consumer Insights.

The segment of the population between 35 and 64 years of age are considered the population in the latter half of their working life. They have, for the most part, finished having children, are in the upper end of their earning potential, children are leaving the nest, mortgages are paid and assets are increasing. This map exhibits a few interesting patterns when compared with other maps in the age structure. Compared to the early working years group, the later working years segment is less concentrated in the inner parts of the city. Higher proportions are evident on the census subdivision layer in areas outside of cities reflecting past suburban migration patterns. In the north the area outside the populated places is dominated by a high proportion of people in their later working years. Note that very small populations exist in many large census divisions and subdivisions in the North.

This dataset identifies age and sex for the population by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. This dataset also identifies median age, sex ratio, old-age and child dependency and estimates of population by gender by age category, total estimates as well as these category’s margin of error and margin of error ratio.