100+ datasets found
  1. r

    Total Population

    • opendata.rcmrd.org
    Updated Aug 10, 2012
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    chagevik (2012). Total Population [Dataset]. https://opendata.rcmrd.org/maps/7fd5407d518447b2997c4e9204a6728c
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    Dataset updated
    Aug 10, 2012
    Dataset authored and provided by
    chagevik
    Area covered
    Description

    High Country Region Total Population: 174,829Wilkes County holds the most people in the region with 39.5% of the total regional population. Wilkes County also has the largest area/acreage of the five counties.Alleghany County holds the least number of people in the region with 6.3% of the total population. This county also has the smallest area/acreage.Larger Populations tend to be near or surrounding County Seats: The topography of the area can limit population center locations.Populations in the region, especially in Watauga and Ashe Counties, tend to fluctuate seasonally due to the location of Appalachian State University in Boone, as well as the large number of second homes in the area.Source: U.S. Census Bureau, 2006 to 2010 American Community Survey 5-year Estimates; B01003. Total Population

  2. N

    Nome Census Area, AK Age Group Population Dataset: A Complete Breakdown of...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Nome Census Area, AK Age Group Population Dataset: A Complete Breakdown of Nome Census Area Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/453abc4f-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nome Census Area
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Nome Census Area 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 Nome Census Area. The dataset can be utilized to understand the population distribution of Nome Census Area by age. For example, using this dataset, we can identify the largest age group in Nome Census Area.

    Key observations

    The largest age group in Nome Census Area, AK was for the group of age 10 to 14 years years with a population of 1,058 (10.66%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Nome Census Area, AK was the 85 years and over years with a population of 45 (0.45%). 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 Nome Census Area is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Nome Census Area 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 Nome Census Area Population by Age. You can refer the same here

  3. The largest lakes in the U.S. in 2003, by area

    • statista.com
    Updated Sep 30, 2011
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    Statista (2011). The largest lakes in the U.S. in 2003, by area [Dataset]. https://www.statista.com/statistics/204193/the-largest-lakes-in-the-us-by-area/
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    Dataset updated
    Sep 30, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2003
    Area covered
    United States
    Description

    This statistic shows the largest lakes in the U.S. as of 2003, by area. Lake Superior covers an area of 31,700 square miles and is therefore the largest lake in the U.S.

  4. d

    Handle the statistical table of the top 50 highest value and top 50 largest...

    • data.gov.tw
    csv
    Updated Jul 30, 2025
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    National Property Administration,Ministry of Finance (2025). Handle the statistical table of the top 50 highest value and top 50 largest area of occupied land. [Dataset]. https://data.gov.tw/en/datasets/36961
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    csvAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    National Property Administration,Ministry of Finance
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    101-111 December..................................

  5. T

    Euro Area - Population In The Largest City

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 11, 2017
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    TRADING ECONOMICS (2017). Euro Area - Population In The Largest City [Dataset]. https://tradingeconomics.com/euro-area/population-in-the-largest-city-percent-of-urban-population-wb-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 11, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Euro Area
    Description

    Population in the largest city (% of urban population) in Euro area was reported at 15.73 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Euro area - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  6. a

    Global Cities

    • hub.arcgis.com
    Updated May 10, 2023
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    MapMaker (2023). Global Cities [Dataset]. https://hub.arcgis.com/maps/aa8135223a0e401bb46e11881d6df489
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    Dataset updated
    May 10, 2023
    Dataset authored and provided by
    MapMaker
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    It is estimated that more than 8 billion people live on Earth and the population is likely to hit more than 9 billion by 2050. Approximately 55 percent of Earth’s human population currently live in areas classified as urban. That number is expected to grow by 2050 to 68 percent, according to the United Nations (UN).The largest cities in the world include Tōkyō, Japan; New Delhi, India; Shanghai, China; México City, Mexico; and São Paulo, Brazil. Each of these cities classifies as a megacity, a city with more than 10 million people. The UN estimates the world will have 43 megacities by 2030.Most cities' populations are growing as people move in for greater economic, educational, and healthcare opportunities. But not all cities are expanding. Those cities whose populations are declining may be experiencing declining fertility rates (the number of births is lower than the number of deaths), shrinking economies, emigration, or have experienced a natural disaster that resulted in fatalities or forced people to leave the region.This Global Cities map layer contains data published in 2018 by the Population Division of the United Nations Department of Economic and Social Affairs (UN DESA). It shows urban agglomerations. The UN DESA defines an urban agglomeration as a continuous area where population is classified at urban levels (by the country in which the city resides) regardless of what local government systems manage the area. Since not all places record data the same way, some populations may be calculated using the city population as defined by its boundary and the metropolitan area. If a reliable estimate for the urban agglomeration was unable to be determined, the population of the city or metropolitan area is used.Data Citation: United Nations Department of Economic and Social Affairs. World Urbanization Prospects: The 2018 Revision. Statistical Papers - United Nations (ser. A), Population and Vital Statistics Report, 2019, https://doi.org/10.18356/b9e995fe-en.

  7. v

    Digital data sets describing metropolitan areas in the conterminous US

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.usgs.gov
    • +3more
    Updated Oct 5, 2024
    + more versions
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    U.S. Geological Survey (2024). Digital data sets describing metropolitan areas in the conterminous US [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/digital-data-sets-describing-metropolitan-areas-in-the-conterminous-us
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    Dataset updated
    Oct 5, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Contiguous United States, United States
    Description

    This data set describes metropolitan areas in the conterminous United States, developed from U.S. Bureau of the Census boundaries of Consolidated Metropolitan Statistical Areas (CMSA) and Metropolitan Statistical Areas (MSA), that have been processed to extract the largest contiguous urban area within each MSA or CMSA.

  8. N

    cities in Prince of Wales-Hyder Census Area Ranked by Non-Hispanic Native...

    • neilsberg.com
    csv, json
    Updated Feb 11, 2025
    + more versions
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    Neilsberg Research (2025). cities in Prince of Wales-Hyder Census Area Ranked by Non-Hispanic Native American Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-prince-of-wales-hyder-census-area-ak-by-non-hispanic-native-american-population/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Prince of Wales-Hyder Census Area
    Variables measured
    Non-Hispanic Native American Population, Non-Hispanic Native American Population as Percent of Total Population of cities in Prince of Wales-Hyder Census Area, AK, Non-Hispanic Native American Population as Percent of Total Non-Hispanic Native American Population of Prince of Wales-Hyder Census Area, AK
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 6 cities in the Prince of Wales-Hyder Census Area, AK by Non-Hispanic American Indian and Alaska Native (AIAN) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

    Content

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

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Non-Hispanic Native American Population: This column displays the rank of cities in the Prince of Wales-Hyder Census Area, AK by their Non-Hispanic American Indian and Alaska Native (AIAN) population, using the most recent ACS data available.
    • cities: The cities for which the rank is shown in the previous column.
    • Non-Hispanic Native American Population: The Non-Hispanic Native American population of the cities is shown in this column.
    • % of Total cities Population: This shows what percentage of the total cities population identifies as Non-Hispanic Native American. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Prince of Wales-Hyder Census Area Non-Hispanic Native American Population: This tells us how much of the entire Prince of Wales-Hyder Census Area, AK Non-Hispanic Native American population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    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/.

  9. Agricultural area used for cereals in Tunisia 2015-2023, by cereal type

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Agricultural area used for cereals in Tunisia 2015-2023, by cereal type [Dataset]. https://www.statista.com/statistics/1181655/agricultural-area-used-for-cereals-in-tunisia-by-cereal-type/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Tunisia
    Description

    In the 2022/2023 crop year, the total land area used for cereal farming in Tunisia reached **** million hectares. Most of these lands were under barley and durum wheat production, each exceeding ******* hectares. On the other hand, a significantly smaller area of agricultural land was devoted to soft wheat and triticale farming. In 2021, the total cereals produced in Tunisia amounted to over **** million metric tons.

  10. P

    Poland PL: Population in Largest City

    • ceicdata.com
    Updated Aug 9, 2020
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    CEICdata.com (2020). Poland PL: Population in Largest City [Dataset]. https://www.ceicdata.com/en/poland/population-and-urbanization-statistics/pl-population-in-largest-city
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    Dataset updated
    Aug 9, 2020
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Poland
    Variables measured
    Population
    Description

    Poland PL: Population in Largest City data was reported at 1,758,551.000 Person in 2017. This records an increase from the previous number of 1,749,352.000 Person for 2016. Poland PL: Population in Largest City data is updated yearly, averaging 1,618,666.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,758,551.000 Person in 2017 and a record low of 1,119,181.000 Person in 1960. Poland PL: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Poland – Table PL.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

  11. U.S. metropolitan areas with the highest percentage of native population...

    • statista.com
    Updated Oct 16, 2024
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    Statista (2024). U.S. metropolitan areas with the highest percentage of native population 2023 [Dataset]. https://www.statista.com/statistics/432678/us-metropolitan-areas-with-the-highest-percentage-of-american-native-population/
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    This statistic shows the leading metropolitan areas in the United States in 2023 with the highest percentage of American Indian or Alaska Native population. Among the 81 largest metropolitan areas, Tulsa, Oklahoma was ranked first, with 14.6 percent of the population reporting as American Indian/Alaska Native in 2023.

  12. c

    Medical Service Study Areas

    • gis.data.ca.gov
    • data.chhs.ca.gov
    • +4more
    Updated Sep 5, 2024
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    CA Department of Health Care Access and Information (2024). Medical Service Study Areas [Dataset]. https://gis.data.ca.gov/datasets/hcai::medical-service-study-areas
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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    CA Department of Health Care Access and Information
    Area covered
    Description

    This is the current Medical Service Study Area. California Medical Service Study Areas are created by the California Department of Health Care Access and Information (HCAI).Check the Data Dictionary for field descriptions.Search for the Medical Service Study Area data on the CHHS Open Data Portal.Checkout the California Healthcare Atlas for more Medical Service Study Area information.This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.Source of update: American Community Survey 5-year 2006-2010 data for poverty. For source tables refer to InfoUSA update procedural documentation. The 2010 MSSA Detail layer was developed to update fields affected by population change. The American Community Survey 5-year 2006-2010 population data pertaining to total, in households, race, ethnicity, age, and poverty was used in the update. The 2010 MSSA Census Tract Detail map layer was developed to support geographic information systems (GIS) applications, representing 2010 census tract geography that is the foundation of 2010 medical service study area (MSSA) boundaries. ***This version is the finalized MSSA reconfiguration boundaries based on the US Census Bureau 2010 Census. In 1976 Garamendi Rural Health Services Act, required the development of a geographic framework for determining which parts of the state were rural and which were urban, and for determining which parts of counties and cities had adequate health care resources and which were "medically underserved". Thus, sub-city and sub-county geographic units called "medical service study areas [MSSAs]" were developed, using combinations of census-defined geographic units, established following General Rules promulgated by a statutory commission. After each subsequent census the MSSAs were revised. In the scheduled revisions that followed the 1990 census, community meetings of stakeholders (including county officials, and representatives of hospitals and community health centers) were held in larger metropolitan areas. The meetings were designed to develop consensus as how to draw the sub-city units so as to best display health care disparities. The importance of involving stakeholders was heightened in 1992 when the United States Department of Health and Human Services' Health and Resources Administration entered a formal agreement to recognize the state-determined MSSAs as "rational service areas" for federal recognition of "health professional shortage areas" and "medically underserved areas". After the 2000 census, two innovations transformed the process, and set the stage for GIS to emerge as a major factor in health care resource planning in California. First, the Office of Statewide Health Planning and Development [OSHPD], which organizes the community stakeholder meetings and provides the staff to administer the MSSAs, entered into an Enterprise GIS contract. Second, OSHPD authorized at least one community meeting to be held in each of the 58 counties, a significant number of which were wholly rural or frontier counties. For populous Los Angeles County, 11 community meetings were held. As a result, health resource data in California are collected and organized by 541 geographic units. The boundaries of these units were established by community healthcare experts, with the objective of maximizing their usefulness for needs assessment purposes. The most dramatic consequence was introducing a data simultaneously displayed in a GIS format. A two-person team, incorporating healthcare policy and GIS expertise, conducted the series of meetings, and supervised the development of the 2000-census configuration of the MSSAs.MSSA Configuration Guidelines (General Rules):- Each MSSA is composed of one or more complete census tracts.- As a general rule, MSSAs are deemed to be "rational service areas [RSAs]" for purposes of designating health professional shortage areas [HPSAs], medically underserved areas [MUAs] or medically underserved populations [MUPs].- MSSAs will not cross county lines.- To the extent practicable, all census-defined places within the MSSA are within 30 minutes travel time to the largest population center within the MSSA, except in those circumstances where meeting this criterion would require splitting a census tract.- To the extent practicable, areas that, standing alone, would meet both the definition of an MSSA and a Rural MSSA, should not be a part of an Urban MSSA.- Any Urban MSSA whose population exceeds 200,000 shall be divided into two or more Urban MSSA Subdivisions.- Urban MSSA Subdivisions should be within a population range of 75,000 to 125,000, but may not be smaller than five square miles in area. If removing any census tract on the perimeter of the Urban MSSA Subdivision would cause the area to fall below five square miles in area, then the population of the Urban MSSA may exceed 125,000. - To the extent practicable, Urban MSSA Subdivisions should reflect recognized community and neighborhood boundaries and take into account such demographic information as income level and ethnicity. Rural Definitions: A rural MSSA is an MSSA adopted by the Commission, which has a population density of less than 250 persons per square mile, and which has no census defined place within the area with a population in excess of 50,000. Only the population that is located within the MSSA is counted in determining the population of the census defined place. A frontier MSSA is a rural MSSA adopted by the Commission which has a population density of less than 11 persons per square mile. Any MSSA which is not a rural or frontier MSSA is an urban MSSA. Last updated December 6th 2024.

  13. c

    Comprehensive Planning Areas

    • opendata.cityofboise.org
    • hub.arcgis.com
    • +1more
    Updated Oct 17, 2018
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    City of Boise, Idaho (2018). Comprehensive Planning Areas [Dataset]. https://opendata.cityofboise.org/datasets/comprehensiveplanningareas
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    Dataset updated
    Oct 17, 2018
    Dataset authored and provided by
    City of Boise, Idaho
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This is a polygon data set depicting the current comprehensive planning areas for Boise City. A comprehensive planning area is defined in Chapter 4-1, page 171, of Blueprint Boise, the current Boise City Comprehensive Plan as, "On the largest scale, the entire area (area of impact) for which the City has authority to prepare comprehensive plans. On a smaller scale, planning area refers to the various sub-areas (i.e. West Bench, Central Bench, Southwest, etc,) which the City has defined as making up the larger planning area. These sub-areas are defined by physical barriers and/or the character of existing developments within them, and may each have specific planning objectives and policies articulated in the Comprehensive Plan." Each polygon in this data set is a specific smaller scale (sub-area) planning area. Collectively, the polygons represent the geography for the Boise City large scale comprehensive planning area.This data set is a critical component of the official Land Use Map within the Boise City Comprehensive Plan. It is used to identify specific areas within Boise City and the Boise Area of Impact to which specific land use designations and policies are applied. The data set is used to assist Boise City staff to identify specific planning areas and manage the growth of those areas to be consistent with the policies and intentions set out in the Boise City Comprehensive Plan.The dataset is generally coincident with the Boise Area of Impact; and is updated through City Council approval when the Boise Area of Impact changes. The data is current to the date the data set was published.For more information, please visit City of Boise Planning & Development.

  14. s

    The 15 countries reporting largest primary forest area (in 1000 ha) to FRA...

    • pacific-data.sprep.org
    • pacificdata.org
    • +1more
    csv
    Updated Apr 8, 2025
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    PNG Conservation and Environment Protection Authority (2025). The 15 countries reporting largest primary forest area (in 1000 ha) to FRA 2015 [Dataset]. https://pacific-data.sprep.org/dataset/15-countries-reporting-largest-primary-forest-area-1000-ha-fra-2015
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    csv(832), csv(491), csv(307)Available download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    PNG Conservation and Environment Protection Authority
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Papua New Guinea
    Description

    Comparisons of the countries with the largest forest areas (representing 90% of the global primary forest area reported to FRA, 2015

  15. a

    Large Dallas City Council District 10 Detail Map

    • gisservices-dallasgis.opendata.arcgis.com
    • egisdata-dallasgis.hub.arcgis.com
    Updated Nov 23, 2024
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    City of Dallas GIS Services (2024). Large Dallas City Council District 10 Detail Map [Dataset]. https://gisservices-dallasgis.opendata.arcgis.com/documents/fac4d56cef954d5c90298577be2c9d8d
    Explore at:
    Dataset updated
    Nov 23, 2024
    Dataset authored and provided by
    City of Dallas GIS Services
    Area covered
    Dallas
    Description

    Large Dallas city council district 10 detailed map. The information represented are (total population, total district area, trail milage, park acreage, and household income.)

  16. H

    Hong Kong SAR, China HK: Population in Largest City: as % of Urban...

    • ceicdata.com
    + more versions
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    CEICdata.com, Hong Kong SAR, China HK: Population in Largest City: as % of Urban Population [Dataset]. https://www.ceicdata.com/en/hong-kong/population-and-urbanization-statistics/hk-population-in-largest-city-as--of-urban-population
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Population
    Description

    Hong Kong HK: Population in Largest City: as % of Urban Population data was reported at 99.637 % in 2017. This records an increase from the previous number of 99.540 % for 2016. Hong Kong HK: Population in Largest City: as % of Urban Population data is updated yearly, averaging 99.382 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 100.000 % in 2010 and a record low of 94.548 % in 1974. Hong Kong HK: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong – Table HK.World Bank: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

  17. U.S metro areas with the highest percentage of population aged 65 and older...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S metro areas with the highest percentage of population aged 65 and older 2019 [Dataset]. https://www.statista.com/statistics/432794/us-metro-areas-with-the-highest-percentage-of-population-65-and-older/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    This statistic shows the leading metropolitan areas with the highest percentage of population aged 65 years and over in the United States in 2019. In 2019, The Villages, Florida was ranked first with about **** percent of its population aged 65 years and over.

  18. a

    Large Dallas City Council District 11 Detail Map

    • egisdata-dallasgis.hub.arcgis.com
    • gisservices-dallasgis.opendata.arcgis.com
    Updated Nov 23, 2024
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    City of Dallas GIS Services (2024). Large Dallas City Council District 11 Detail Map [Dataset]. https://egisdata-dallasgis.hub.arcgis.com/documents/bf2139b179a6424ab3daf85e56fc5fe6
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    Dataset updated
    Nov 23, 2024
    Dataset authored and provided by
    City of Dallas GIS Services
    Description

    Large Dallas city council district 11 detailed map. The information represented are (total population, total district area, trail milage, park acreage, and household income.)

  19. d

    Data from: Bedrock geologic map database of the Caribou Creek area, Big...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jul 5, 2023
    + more versions
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    Alaska Division of Geological & Geophysical Surveys (Point of Contact) (2023). Bedrock geologic map database of the Caribou Creek area, Big Delta C-4 and D-4 quadrangles, east-central Alaska [Dataset]. https://catalog.data.gov/dataset/bedrock-geologic-map-database-of-the-caribou-creek-area-big-delta-c-4-and-d-4-quadrangles-east-1
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    Dataset updated
    Jul 5, 2023
    Dataset provided by
    Alaska Division of Geological & Geophysical Surveys (Point of Contact)
    Area covered
    Central, Big Delta, Alaska
    Description

    Miscellaneous Publication 172, Bedrock geologic map database of the Caribou Creek area, Big Delta C-4 and D-4 quadrangles, east-central Alaska, presents 1:25,000 scale geologic mapping of the Caribou Creek area in the Big Delta C-4 Quadrangle, east-central Alaska. The Caribou Creek area is known for significant placer gold but no known lode gold source. Additionally, it is one of the few regions in interior Alaska where native bismuth has been reported in placers. During an 11-week field campaign in the summer of 2002, an area of approximately 200 km2 was mapped at a 1:25,000 scale to delineate the area's geologic rock units, identify structural elements and their relative orientation, and collect rock samples for the geochemical and geochronological analysis needed to develop a model for the geological evolution of the area and potential source of the area's abundant placer gold. The resultant bedrock geologic map was published as a component of a University of Alaska master's thesis (Lessard, 2006). This publication release provides a modern compilation of the thesis map's GIS data. The dataset contains geologic, structural, stratigraphic, and geochronologic data organized according to the GeMS and AK GeMS mapping schemas. The geodatabase and ESRI fonts and style files are available from the DGGS website: https://doi.org/10.14509/30866.

  20. Metropolitan and overseas regions with the largest forest area in France in...

    • statista.com
    Updated Jan 10, 2025
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    Statista (2025). Metropolitan and overseas regions with the largest forest area in France in 2021 [Dataset]. https://www.statista.com/statistics/1122471/forest-area-by-region-france/
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    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France
    Description

    France's largest forested area is not in Europe but in South America. It is indeed in the overseas department that we find the largest French forest in Guyane, the Amazon jungle with more than 8 million hectares. Across the entire metropolitan area, forests represented approximately 17 million hectares in 2021. Nouvelle-Aquitaine was the region where the largest forest cover in France was found, with nearly 2.9 million hectares of forest. The overseas islands and departments were, in view of their small surface area, the regions with the least forest area.

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chagevik (2012). Total Population [Dataset]. https://opendata.rcmrd.org/maps/7fd5407d518447b2997c4e9204a6728c

Total Population

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Dataset updated
Aug 10, 2012
Dataset authored and provided by
chagevik
Area covered
Description

High Country Region Total Population: 174,829Wilkes County holds the most people in the region with 39.5% of the total regional population. Wilkes County also has the largest area/acreage of the five counties.Alleghany County holds the least number of people in the region with 6.3% of the total population. This county also has the smallest area/acreage.Larger Populations tend to be near or surrounding County Seats: The topography of the area can limit population center locations.Populations in the region, especially in Watauga and Ashe Counties, tend to fluctuate seasonally due to the location of Appalachian State University in Boone, as well as the large number of second homes in the area.Source: U.S. Census Bureau, 2006 to 2010 American Community Survey 5-year Estimates; B01003. Total Population

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