13 datasets found
  1. d

    Allegheny County Map Index Grid

    • catalog.data.gov
    • data.wprdc.org
    • +2more
    Updated May 14, 2023
    + more versions
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    Allegheny County (2023). Allegheny County Map Index Grid [Dataset]. https://catalog.data.gov/dataset/allegheny-county-map-index-grid
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    Dataset updated
    May 14, 2023
    Dataset provided by
    Allegheny County
    Area covered
    Allegheny County
    Description

    Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.

  2. C

    Allegheny County Parcel Boundaries

    • data.wprdc.org
    • catalog.data.gov
    csv, esri rest +4
    Updated Oct 9, 2019
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    County of Allegheny, PA (2019). Allegheny County Parcel Boundaries [Dataset]. https://data.wprdc.org/dataset/allegheny-county-parcel-boundaries1
    Explore at:
    html, kmz(141826153), esri rest, csv(265905649), zip(115958898), geojson(407754767)Available download formats
    Dataset updated
    Oct 9, 2019
    Dataset provided by
    County of Allegheny, PA
    Area covered
    Allegheny County
    Description

    This dataset contains boundaries of individual parcels in Allegheny County, including the county block and lot number. As this is a very large dataset, you may wish to use our property information extractor (http://tools.wprdc.org/parcels-n-at/) to download filtered versions of this parcel dataset.

    The most authoritative source for this data is now the PASDA page (https://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=1214), which includes links to historical versions of the shapefile representations of this data.

  3. l

    Parcel Points Shapefile

    • maps.leegov.com
    • hub.arcgis.com
    Updated Aug 15, 2022
    + more versions
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    Lee County Florida GIS (2022). Parcel Points Shapefile [Dataset]. https://maps.leegov.com/datasets/f13fddbfe8fb444da730974693ee643b
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    Dataset updated
    Aug 15, 2022
    Dataset authored and provided by
    Lee County Florida GIS
    Description

    Parcels and property data maintained and provided by Lee County Property Appraiser are converted to points. Property attribute data joined to parcel GIS layer by Lee County Government GIS. This dataset is generally used in spatial analysis.Process description: Parcel polygons, condominium points and property data provided by the Lee County Property Appraiser are processed by Lee County's GIS Department using the following steps:Join property data to parcel polygons Join property data to condo pointsConvert parcel polygons to points using ESRI's ArcGIS tool "Feature to Point" and designate the "Source" field "P".Load Condominium points into this layer and designate the "Source" field "C". Add X/Y coordinates in Florida State Plane West, NAD 83, feet using the "Add X/Y" tool.Projected coordinate system name: NAD_1983_StatePlane_Florida_West_FIPS_0902_FeetGeographic coordinate system name: GCS_North_American_1983

     Name
     Type
     Length
     Description
    
    
     STRAP
     String
     25
     17-digit Property ID (Section, Township, Range, Area, Block, Lot)
    
    
     BLOCK
     String
     10
     5-digit portion of STRAP (positions 9-13)
    
    
     LOT
     String
     8
     Last 4-digits of STRAP
    
    
     FOLIOID
     Double
     8
     Unique Property ID
    
    
     MAINTDATE
     Date
     8
     Date LeePA staff updated record
    
    
     MAINTWHO
     String
     20
     LeePA staff who updated record
    
    
     UPDATED
     Date
     8
     Data compilation date
    
    
     HIDE_STRAP
     String
     1
     Confidential parcel ownership
    
    
     TRSPARCEL
     String
     17
     Parcel ID sorted by Township, Range & Section
    
    
     DORCODE
     String
     2
     Department of Revenue. See https://leepa.org/Docs/Codes/DOR_Code_List.pdf
    
    
     CONDOTYPE
     String
     1
     Type of condominium: C (commercial) or R (residential)
    
    
     UNITOFMEAS
     String
     2
     Type of Unit of Measure (ex: AC=acre, LT=lot, FF=frontage in feet)
    
    
     NUMUNITS
     Double
     8
     Number of Land Units (units defined in UNITOFMEAS)
    
    
     FRONTAGE
     Integer
     4
     Road Frontage in Feet
    
    
     DEPTH
     Integer
     4
     Property Depth in Feet
    
    
     GISACRES
     Double
     8
     Total Computed Acres from GIS
    
    
     TAXINGDIST
     String
     3
     Taxing District of Property
    
    
     TAXDISTDES
     String
     60
     Taxing District Description
    
    
     FIREDIST
     String
     3
     Fire District of Property
    
    
     FIREDISTDE
     String
     60
     Fire District Description
    
    
     ZONING
     String
     10
     Zoning of Property
    
    
     ZONINGAREA
     String
     3
     Governing Area for Zoning
    
    
     LANDUSECOD
     SmallInteger
     2
     Land Use Code
    
    
     LANDUSEDES
     String
     60
     Land Use Description
    
    
     LANDISON
     String
     5
     BAY,CANAL,CREEK,GULF,LAKE,RIVER & GOLF
    
    
     SITEADDR
     String
     55
     Lee County Addressing/E911
    
    
     SITENUMBER
     String
     10
     Property Location - Street Number
    
    
     SITESTREET
     String
     40
     Street Name
    
    
     SITEUNIT
     String
     5
     Unit Number
    
    
     SITECITY
     String
     20
     City
    
    
     SITEZIP
     String
     5
     Zip Code
    
    
     JUST
     Double
     8
     Market Value
    
    
     ASSESSED
     Double
     8
     Building Value + Land Value
    
    
     TAXABLE
     Double
     8
     Taxable Value
    
    
     LAND
     Double
     8
     Land Value
    
    
     BUILDING
     Double
     8
     Building Value
    
    
     LXFV
     Double
     8
     Land Extra Feature Value
    
    
     BXFV
     Double
     8
     Building Extra Feature value
    
    
     NEWBUILT
     Double
     8
     New Construction Value
    
    
     AGAMOUNT
     Double
     8
     Agriculture Exemption Value
    
    
     DISAMOUNT
     Double
     8
     Disability Exemption Value
    
    
     HISTAMOUNT
     Double
     8
     Historical Exemption Value
    
    
     HSTDAMOUNT
     Double
     8
     Homestead Exemption Value
    
    
     SNRAMOUNT
     Double
     8
     Senior Exemption Value
    
    
     WHLYAMOUNT
     Double
     8
     Wholly Exemption Value
    
    
     WIDAMOUNT
     Double
     8
     Widow Exemption Value
    
    
     WIDRAMOUNT
     Double
     8
     Widower Exemption Value
    
    
     BLDGCOUNT
     SmallInteger
     2
     Total Number of Buildings on Parcel
    
    
     MINBUILTY
     SmallInteger
     2
     Oldest Building Built
    
    
     MAXBUILTY
     SmallInteger
     2
     Newest Building Built
    
    
     TOTALAREA
     Double
     8
     Total Building Area
    
    
     HEATEDAREA
     Double
     8
     Total Heated Area
    
    
     MAXSTORIES
     Double
     8
     Tallest Building on Parcel
    
    
     BEDROOMS
     Integer
     4
     Total Number of Bedrooms
    
    
     BATHROOMS
     Double
     8
     Total Number of Bathrooms / Not For Comm
    
    
     GARAGE
     String
     1
     Garage on Property 'Y'
    
    
     CARPORT
     String
     1
     Carport on Property 'Y'
    
    
     POOL
     String
     1
     Pool on Property 'Y'
    
    
     BOATDOCK
     String
     1
     Boat Dock on Property 'Y'
    
    
     SEAWALL
     String
     1
     Sea Wall on Property 'Y'
    
    
     NBLDGCOUNT
     SmallInteger
     2
     Total Number of New Buildings on ParcelTotal Number of New Buildings on Parcel
    
    
     NMINBUILTY
     SmallInteger
     2
     Oldest New Building Built
    
    
     NMAXBUILTY
     SmallInteger
     2
     Newest New Building Built
    
    
     NTOTALAREA
     Double
     8
     Total New Building Area
    
    
     NHEATEDARE
     Double
     8
     Total New Heated Area
    
    
     NMAXSTORIE
     Double
     8
     Tallest New Building on Parcel
    
    
     NBEDROOMS
     Integer
     4
     Total Number of New Bedrooms
    
    
     NBATHROOMS
     Double
     8
     Total Number of New Bathrooms/Not For Comm
    
    
     NGARAGE
     String
     1
     New Garage on Property 'Y'
    
    
     NCARPORT
     String
     1
     New Carport on Property 'Y'
    
    
     NPOOL
     String
     1
     New Pool on Property 'Y'
    
    
     NBOATDOCK
     String
     1
     New Boat Dock on Property 'Y'
    
    
     NSEAWALL
     String
     1
     New Sea Wall on Property 'Y'
    
    
     O_NAME
     String
     30
     Owner Name
    
    
     O_OTHERS
     String
     120
     Other Owners
    
    
     O_CAREOF
     String
     30
     In Care Of Line
    
    
     O_ADDR1
     String
     30
     Owner Mailing Address Line 1
    
    
     O_ADDR2
     String
     30
     Owner Mailing Address Line 2
    
    
     O_CITY
     String
     30
     Owner Mailing City
    
    
     O_STATE
     String
     2
     Owner Mailing State
    
    
     O_ZIP
     String
     9
     Owner Mailing Zip
    
    
     O_COUNTRY
     String
     30
     Owner Mailing Country
    
    
     S_1DATE
     Date
     8
     Most Current Sale Date > $100.00
    
    
     S_1AMOUNT
     Double
     8
     Sale Amount
    
    
     S_1VI
     String
     1
     Sale Vacant or Improved
    
    
     S_1TC
     String
     2
     Sale Transaction Code
    
    
     S_1TOC
     String
     2
     Sale Transaction Override Code
    
    
     S_1OR_NUM
     String
     13
     Original Record (Lee County Clerk)
    
    
     S_2DATE
     Date
     8
     Previous Sale Date > $100.00
    
    
     S_2AMOUNT
     Double
     8
     Sale Amount
    
    
     S_2VI
     String
     1
     Sale Vacant or Improved
    
    
     S_2TC
     String
     2
     Sale Transaction Code
    
    
     S_2TOC
     String
     2
     Sale Transaction Override Code
    
    
     S_2OR_NUM
     String
     13
     Original Record (Lee County Clerk)
    
    
     S_3DATE
     Date
     8
     Next Previous Sale Date > $100.00
    
    
     S_3AMOUNT
     Double
     8
     Sale Amount
    
    
     S_3VI
     String
     1
     Sale Vacant or Improved
    
    
     S_3TC
     String
     2
     Sale Transaction Code
    
    
     S_3TOC
     String
     2
     Sale Transaction Override Code
    
    
     S_3OR_NUM
     String
     13
     Original Record (Lee County Clerk)
    
    
     S_4DATE
     Date
     8
     Next Previous Sale Date > $100.00
    
    
     S_4AMOUNT
     Double
     8
     Sale Amount
    
    
     S_4VI
     String
     1
     Sale Vacant or Improved
    
    
     S_4TC
     String
     2
     Sale Transaction Code
    
    
     S_4TOC
     String
     2
     Sale Transaction Override Code
    
    
     S_4OR_NUM
     String
     13
    
  4. N

    Philadelphia County, PA Age Group Population Dataset: A Complete Breakdown...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Philadelphia County, PA Age Group Population Dataset: A Complete Breakdown of Philadelphia County Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/philadelphia-county-pa-population-by-age/
    Explore at:
    csv, jsonAvailable 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
    Philadelphia County, Pennsylvania, Philadelphia
    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 Philadelphia County 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 Philadelphia County. The dataset can be utilized to understand the population distribution of Philadelphia County by age. For example, using this dataset, we can identify the largest age group in Philadelphia County.

    Key observations

    The largest age group in Philadelphia County, PA was for the group of age 30 to 34 years years with a population of 151,121 (9.55%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Philadelphia County, PA was the 80 to 84 years years with a population of 25,123 (1.59%). 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 Philadelphia County is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Philadelphia County 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 Philadelphia County Population by Age. You can refer the same here

  5. TIGER/Line Shapefile, Current, State, Maine, County Subdivision

    • catalog.data.gov
    • datasets.ai
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, State, Maine, County Subdivision [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-maine-county-subdivision
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Maine
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  6. d

    Missouri Zip Codes by County/City

    • catalog.data.gov
    • data.mo.gov
    • +3more
    Updated Nov 29, 2021
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    data.mo.gov (2021). Missouri Zip Codes by County/City [Dataset]. https://catalog.data.gov/dataset/missouri-zip-codes-by-county-city
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    Dataset updated
    Nov 29, 2021
    Dataset provided by
    data.mo.gov
    Area covered
    Missouri
    Description

    List of cities, zip codes and counties in Missouri

  7. p

    Trends in Student-Teacher Ratio (1987-2023): Union County Primary School vs....

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Student-Teacher Ratio (1987-2023): Union County Primary School vs. Georgia vs. Union County School District [Dataset]. https://www.publicschoolreview.com/union-county-primary-school-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Union County
    Description

    This dataset tracks annual student-teacher ratio from 1987 to 2023 for Union County Primary School vs. Georgia and Union County School District

  8. p

    Trends in White Student Percentage (1993-2023): Warren County High School...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in White Student Percentage (1993-2023): Warren County High School vs. Virginia vs. Warren County School District [Dataset]. https://www.publicschoolreview.com/warren-county-high-school-profile/22630
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Warren County School District
    Description

    This dataset tracks annual white student percentage from 1993 to 2023 for Warren County High School vs. Virginia and Warren County School District

  9. p

    Trends in Hispanic Student Percentage (1996-2023): Wayne County High School...

    • publicschoolreview.com
    Updated Aug 29, 2014
    + more versions
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    Public School Review (2014). Trends in Hispanic Student Percentage (1996-2023): Wayne County High School vs. Georgia vs. Wayne County School District [Dataset]. https://www.publicschoolreview.com/wayne-county-high-school-profile
    Explore at:
    Dataset updated
    Aug 29, 2014
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual hispanic student percentage from 1996 to 2023 for Wayne County High School vs. Georgia and Wayne County School District

  10. p

    Trends in White Student Percentage (1996-2023): Union County Primary School...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in White Student Percentage (1996-2023): Union County Primary School vs. Georgia vs. Union County School District [Dataset]. https://www.publicschoolreview.com/union-county-primary-school-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Union County
    Description

    This dataset tracks annual white student percentage from 1996 to 2023 for Union County Primary School vs. Georgia and Union County School District

  11. TIGER/Line Shapefile, Current, County, Levy County, FL, All Roads

    • catalog.data.gov
    • datasets.ai
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, County, Levy County, FL, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-levy-county-fl-all-roads
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    Florida, Levy County
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

  12. DHCS County Code Reference Table

    • catalog.data.gov
    • data.chhs.ca.gov
    • +4more
    Updated Nov 27, 2024
    + more versions
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    California Department of Health Care Services (2024). DHCS County Code Reference Table [Dataset]. https://catalog.data.gov/dataset/dhcs-county-code-reference-table-f968e
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Health Care Serviceshttp://www.dhcs.ca.gov/
    Description

    This reference table contains data elements for the 58 Counties in California that can be used to join to other data sets. This data includes the following fields:DHCS County CodeCounty NameCounty Region CodeCounty Region DescriptionFIPS County Code (xxx)FIPS State Code + FIPS County Code (06xxx)North/South Indicator

  13. F

    Resident Population in Clark County, WA

    • fred.stlouisfed.org
    json
    Updated Mar 14, 2025
    + more versions
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    (2025). Resident Population in Clark County, WA [Dataset]. https://fred.stlouisfed.org/series/WACLAR1POP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 14, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Clark County, Washington
    Description

    Graph and download economic data for Resident Population in Clark County, WA (WACLAR1POP) from 1970 to 2024 about Clark County, WA; Portland; WA; residents; population; and USA.

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Allegheny County (2023). Allegheny County Map Index Grid [Dataset]. https://catalog.data.gov/dataset/allegheny-county-map-index-grid

Allegheny County Map Index Grid

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Dataset updated
May 14, 2023
Dataset provided by
Allegheny County
Area covered
Allegheny County
Description

Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.

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