6 datasets found
  1. Population density in the U.S. 2023, by state

    • statista.com
    Updated Dec 3, 2024
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    Statista (2024). Population density in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/183588/population-density-in-the-federal-states-of-the-us/
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    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

  2. w

    Urban Areas

    • data.wu.ac.at
    zip
    Updated Mar 23, 2015
    + more versions
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    (2015). Urban Areas [Dataset]. https://data.wu.ac.at/odso/edx_netl_doe_gov/NzIxODkwYjAtMzI1ZC00YmM3LTljNDctOTNjZjhhMDliMTNl
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    zipAvailable download formats
    Dataset updated
    Mar 23, 2015
    Area covered
    b6bd87e78cd1854576fcf29bb111755f5baa0aa9
    Description

    U.S. Census Urbanized Areas represents the Census 2000 Urbanized Areas (UA) and Urban Clusters (UC). A UA consists of contiguous, densely settled census block groups (BGs) and census blocks that meet minimum population density requirements (1000ppsm /500ppsm), along with adjacent densely settled census blocks that together encompass a population of at least 50,000 people. A UC consists of contiguous, densely settled census BGs and census blocks that meet minimum population density requirements, along with adjacent densely settled census blocks that together encompass a population of at least 2,500 people, but fewer than 50,000 people. The dataset covers the 50 States plus the District of Columbia within United States.

  3. USA Urban Areas

    • atlas.eia.gov
    • data.lojic.org
    • +3more
    Updated Apr 22, 2014
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    Esri (2014). USA Urban Areas [Dataset]. https://atlas.eia.gov/maps/432bb9246fdd467c88136e6ffeac2762
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    Dataset updated
    Apr 22, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of June 2023 and will retire in December 2025. A new version of this item is available for your use.The layers going from 1:1 to 1:1.5M present the 2010 Census Urbanized Areas (UA) and Urban Clusters (UC). A UA consists of contiguous, densely settled census block groups (BGs) and census blocks that meet minimum population density requirements (1000 people per square mile (ppsm) / 500 ppsm), along with adjacent densely settled census blocks that together encompass a population of at least 50,000 people. A UC consists of contiguous, densely settled census BGs and census blocks that meet minimum population density requirements, along with adjacent densely settled census blocks that together encompass a population of at least 2,500 people, but fewer than 50,000 people. The dataset covers the 50 States plus the District of Columbia within United States. The layer going over 1:1.5M presents the urban areas in the United States derived from the urban areas layer of the Digital Chart of the World (DCW). It provides information about the locations, names, and populations of urbanized areas for conducting geographic analysis on national and large regional scales. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA Census Urban Areas.

  4. REV 2.0 Eligible and Ineligible Census Tracts

    • data.cnra.ca.gov
    • data.ca.gov
    • +2more
    Updated Apr 8, 2024
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    California Energy Commission (2024). REV 2.0 Eligible and Ineligible Census Tracts [Dataset]. https://data.cnra.ca.gov/dataset/rev-2-0-eligible-and-ineligible-census-tracts
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    csv, geojson, html, kml, arcgis geoservices rest api, zipAvailable download formats
    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

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

    Description

    Census tracts are designated as urban, rural center, or rural through SB 1000 analysis. These designations are being used for the REV 2.0 and Community Charging in Urban Areas GFOs.

    • Rural centers are contiguous urban census tracts with a population of less than 50,0000. Urban census tracts are tracts where at least 10 percent of the tract’s land area is designated as urban by the Census Bureau using the 2020 urbanized area criteria.
    • Rural communities are census tracts where less than 10 percent of the tract’s land area is designated as urban by the Census Bureau using the 2020 urbanized area criteria.
    • Urban communities are contiguous urban census tracts with a population of 50,000 or greater. Urban census tracts are tracts where at least 10 percent of the tract’s land area is designated as urban by the Census Bureau using the 2020 urbanized area criteria.
    Data Dictionary:
    • OBJECTID: Unique ID
    • STATEFP: State FIPS Code
    • COUNTYFP: County FIPS Code
    • TRACTCE: Census Tract ID
    • GEOID: Geographic Identifier
    • Name: Census Tract ID Name (short)
    • NAMELSAD: Census Tract ID Name (long)
    • ALAND: Land Area (square meters)
    • AWATER: Water Area (square meters)
    • DAC: Whether or not a census tract is a disadvantaged community as defined by SB 535 and designated by CalEPA using CalEnviroScreen 4.0 (May 2022 update)
    • Income_Group: Whether or not a census tract is low-, middle-, or high-income as defined by AB 1550 and designated by CARB and the CEC (June 2023 update)
    • Urban_Rural_RuralCenter: Whether or not a census tract is urban, rural, or rural center as defined and designated by the CEC through the SB 1000 Assessment (2024 update)
    • PerCap_100k_L2DCFC: Number of public Level 2 and DC fast chargers per 100,000 people in a census tract
    • DAC_andor_LIC: Whether or not a census tract is a disadvantaged or low-income community as defined by SB 535 and AB 1550 and designated by CalEPA and CARB
    • UCC_eligible: Whether or not the census tract is an eligible area for the Community Charging in Urban Areas GFO. For a site to be eligible, it must be in a census tract that is either a disadvantaged or low-income community, and urban, and has below the state average for per capita public Level 2 and DC fast chargers as defined by the CEC.
    • REV2_eligible: Whether or not the census tract is an eligible area for the Rural Electric Vehicle Charging 2.0 GFO. For a site to be eligible, it must be in a rural or rural center census tract as defined by the CEC.
    • Shape_Area: Census tract shape area (square meters)
    • Shape_Length: Census tract shape length (square meters)

  5. d

    BLM REA COP 2010 U.S. Census Urbanized Areas.

    • datadiscoverystudio.org
    lpk
    Updated May 19, 2018
    + more versions
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    (2018). BLM REA COP 2010 U.S. Census Urbanized Areas. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/0c3e97bc07454e7397ae50065229a8c3/html
    Explore at:
    lpkAvailable download formats
    Dataset updated
    May 19, 2018
    Area covered
    United States
    Description

    description: U.S. Census Urbanized Areas represents the Census 2000 Urbanized Areas (UA) and Urban Clusters (UC). A UA consists of contiguous, densely settled census block groups (BGs) and census blocks that meet minimum population density requirements (1000ppsm /500ppsm), along with adjacent densely settled census blocks that together encompass a population of at least 50,000 people. A UC consists of contiguous, densely settled census BGs and census blocks that meet minimum population density requirements, along with adjacent densely settled census blocks that together encompass a population of at least 2,500 people, but fewer than 50,000 people. The dataset covers the 50 States plus the District of Columbia within United States.; abstract: U.S. Census Urbanized Areas represents the Census 2000 Urbanized Areas (UA) and Urban Clusters (UC). A UA consists of contiguous, densely settled census block groups (BGs) and census blocks that meet minimum population density requirements (1000ppsm /500ppsm), along with adjacent densely settled census blocks that together encompass a population of at least 50,000 people. A UC consists of contiguous, densely settled census BGs and census blocks that meet minimum population density requirements, along with adjacent densely settled census blocks that together encompass a population of at least 2,500 people, but fewer than 50,000 people. The dataset covers the 50 States plus the District of Columbia within United States.

  6. National Sample Survey 2002 (58th round) - Schedule 3.1 - Village Facilities...

    • dev.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 25, 2019
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    National Sample Survey Organisation (NSSO) (2019). National Sample Survey 2002 (58th round) - Schedule 3.1 - Village Facilities - India [Dataset]. https://dev.ihsn.org/nada/catalog/study/IND_2002_NSS58-SCH3.1_v01_M
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    Dataset updated
    Apr 25, 2019
    Dataset provided by
    National Sample Survey Organisation
    Authors
    National Sample Survey Organisation (NSSO)
    Time period covered
    2002
    Area covered
    India
    Description

    Geographic coverage

    The survey on village facilities covers the whole of the Indian Union except (i) Leh and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

    Analysis unit

    • Villages
    • Village Facilities

    Universe

    Village facilities in entire sample village.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Outline of Sample Design: A stratified multi-stage design was adopted for the conduct of survey of the NSS 58th round, which encompasses Schedule 3.1. The first-stage units were census villages (panchayat wards for Kerala) in the rural sector and the NSSO Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units were households in both the sectors.

    Sampling Frame for First-Stage Units: For the rural sector, the list of Census 1991 villages (panchayat wards for Kerala) and Census 1981 villages for J & K constituted the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks was considered as the sampling frame.

    Stratification Rural sector: Two special strata were formed as given below at the State/ Union Territory (UT) level on the basis of Population Census 1991 viz. Stratum 1: all FSUs with population between 0 to 50, and Stratum 2: FSUs with population more than 15,000 The special stratum 1 was formed if at least 50 such FSU's were found in a State/UT. Similarly, special stratum 2 was formed if at least 4 such FSUs were found in a State/UT. Otherwise, such FSUs were merged with the general strata.

    From the remaining FSUs (not covered under stratum 1 &2) general strata (hereafter, stratum will refer to general stratum unless otherwise mentioned) was formed and numbered 3, 4, 5 …. etc. (even if no special strata have been formed). Each district of a State/UT was normally treated as a separate stratum. However, if the provisional population of the district was greater than or equal to 2.5 million as per Census 2001, the district was divided into two or more strata with more or less equal population as per population census 1991 by grouping contiguous tehsils. However, in Gujarat, some districts were not wholly included in an NSS region. In such cases, the part of the district falling in an NSS region constituted a separate stratum.

    Urban sector: In the urban sector, stratum was formed within each NSS region on the basis of size class of towns as per Census 1991 town population except for towns specified in Table 4. The stratum number and their composition (within each region) are given below: stratum 1: all towns with population (P) < 0.1 million stratum 2: all towns with 0.1= P < 0.5 million stratum 3: all towns with 0.5= P < 1 million
    stratum 4,5,6, … each town with P= 1 million
    The stratum numbers were retained as above even if, in some regions, some of the stratum is not formed.

    Sub-stratification: There was no sub-stratification in the rural sector. However, to cover more number of households living in slums, in urban sector each stratum was divided into 2 sub-strata as follows: sub-stratum 1: all UFS blocks having area type 'slum area' sub-stratum 2: remaining UFS blocks If there was one UFS block with area type 'slum area' within a stratum, sub-stratum 1 was not formed; it was merged with sub-stratum 2.

    Total sample size (FSUs): A total number of 8338 and 9076 first-stage units were selected for survey in the Central and State samples respectively. The sample size by State and Sector is given in the Appendix.

    Allocation of total sample to States and UTs: The total sample FSUs was allocated to the States and UTs in proportion to provisional population as per Census 2001 subject to the availability of investigators ensuring more or less uniform work-load.

    Allocation of State/ UT level sample to Rural and Urban sectors: State/UT level sample was allocated between two sectors in proportion to provisional population as per Census 2001 with double weightage to urban sector.

    Allocation of Rural /Urban sector level sample size to strata / sub-strata: Both rural and urban sector samples allotted to a State/UT were allocated to different strata in proportion to population of the stratum. All the stratum-level allocations were adjusted to multiple of 2. Stratum-level sample size in the urban sector was further allocated to 2 sub-strata in proportion to the number of UFS blocks in them with double weightage to sub-stratum 1 subject to a minimum sample size of 2 or 4 to sub-stratum 1 according as stratum-level allocation is 4 or greater than 4. Sub-stratum level allocations in the urban sector were made even.

    Selection of FSUs: FSUs were selected in the form of two independent sub-samples in both the sectors. For special stratum 2 and all the general strata of rural sector, FSUs were selected by probability proportional to size with replacement (PPSWR) where size was the 1991 census population. For urban sector and special stratum 1 of rural sector, FSUs were selected by simple random sampling without replacement (SRSWOR).

    For the complete description of sampling procedure, see the Estimation Procedure document available under External Resources.

    Mode of data collection

    Face-to-face [f2f]

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Statista (2024). Population density in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/183588/population-density-in-the-federal-states-of-the-us/
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Population density in the U.S. 2023, by state

Explore at:
28 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 3, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

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