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.
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.
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Philadelphia County Population by Age. You can refer the same here
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.
List of cities, zip codes and counties in Missouri
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual student-teacher ratio from 1987 to 2023 for Union County Primary School vs. Georgia and Union County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual white student percentage from 1993 to 2023 for Warren County High School vs. Virginia and Warren County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual hispanic student percentage from 1996 to 2023 for Wayne County High School vs. Georgia and Wayne County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual white student percentage from 1996 to 2023 for Union County Primary School vs. Georgia and Union County School District
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.
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
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
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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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.