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 PogoData - New Jersey Property Data V2 Beta+
A service of the GIS Center at Shrewsbury River Laboratory

Charts

The charts here include histograms showing the distribution of various values, for example assessed value, tax rate, and year built and scatter charts showing a comparison between two values, for example property tax vs. assessed value and sales price vs. assessed value.

The charts shown in each tab depend on the type of current jurisdiction. Assessment and Sales charts are only shown for municipalities whereas some of the other charts are shown for municipalities, counties and the state.

Several tabs include filters to restrict the charted data to specified property classes, a range of assessed values, sale prices, sales dates, or waterfront (WF) and non-waterfront (NWF) status. The Separate WF button will show separate curves for waterfront and non-waterfront parcels on some charts. The default property classes are the ones that should be of most interest, vacant land, residential, and regular farm, and the default for sales charts is to exclude non-usable sales.

Points in the scatter charts represent individual parcels or municipalities. Click on a point to show parcel data and place a marker on the index map to locate the parcel or municipality.

Some histograms are segmented when the total count is small. Click on a segment to display the jurisdiction represented by the segment.

Scatter charts support zoom and pan: zoom with the scroll wheel and pan by grabbing with the cursor. Right-click to return to the default zoom.

The base for crime rates is population figures from the FBI, which are close to the census figures we obtain from state sources. Resort towns in NJ (mostly shore towns) have wide swings in population between the summer and year-round, on which the FBI and census figures are based. For example, Wildwood (Cape May County) has a year-round population a little over 5000 but can rise to 250,000 during the summer. This disparity confounds the crime rates, raising them disproportinately for the shore towns.

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The following maps show the location and relative quantity of a few selected errors. Yellow marks municipalities with no errors. Click on a marker to show the municipality. Hover over a congested region for a magnifying glass.
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ShowDescription
Show municipalities or parcels containing interior rings. These typically include built-up towns that separated from surrounding rural areas, farmland with a house at a different tax rate, and common areas of condo complexes.
Show parcels consisting of more than one outline (not arising from duplicate PAMS_PIN) or municipalities with more than one outline. Some parcels are intentionally divided into multiple outlines but this also can arise from input or digitizing errors. Several municipalities consist of non-contiguous outlines. Each outline on parcels is shown with a solid line in a color selected from a cyclic palette and a ring on a representative point. Click on Blink on the map for help locating outlines; on the ring for more data.
Show parcels duplicated in the geometry data, that is, duplicate PAMS_PINs in geometry. If the region of each PAMS_PIN are adjacent or overlap (the most common situation) they are merged into one region of one parcel and are shown with an Outlines value of 1 in the table below. If the regions of each PAMS_PIN are disjoint they remain disjoint but combined together into one parcel with multiple outlines and are shown with an Outlines value >1 in the table. Each outline for either case is shown with a dotted line in a color selected from a cyclic palette and a ring on a representative point. Click on Blink on the map for help locating outlines; on the ring for more data;
Show all parcels consisting of more than one outline within a county.
Show ring data for all parcels consisting of more than one outline within a municipality or county whether or not from duplicate PAMS_PIN. Experimental. This data is part of an effort to find digitizing and data-entry errors in parcel shapefiles algorithmically. Values here are geometric features that may distingish legitimate multiple-outline parcels from those with errors. Data is displayed in a smart table. Click on column headings to sort. Page through table with controls at bottom.
Show parcels that are within 100 feet of a coastline defined in a state geometry file. This may exclude oceanfront parcels which sit some distance from the ocean and may include parcels on small creeks whose waterfront status is dubious.
Show parcels that were partially or wholly inundated by Hurricane Sandy according to FEMA data. Note that this data alone is insufficient to determine if a structure was flooded.
Show parcels that cross a municipality boundary by a minimum of five feet. That is, show parcels that are in two municipalities. The analogous situation for municipal boundaries crossing county boundaries and county boundaries crossing the state boundary was explored but was uninteresting.
Show parcels that are outside their nominal municipality boundary, that is, the municipality given in the parcel's geometry data.
Show all parcels contained in the geometry file.

ShowDescription
Show errors found in assessment, sales, and geometry files. Errors shown here may prevent displaying data for the associated parcel. Includes suggestions for correcting simple typographic errors in lot, block and qcode in asmt and sales data to align it with geometry data. Tax Assessors: Please examine these errors.
Show parcels in the geometry data without a matching entry in the assessment data, either a primary lot or a valid additional lot.
Show parcels in the geometry data without a matching entry in the assessment data, either a primary lot or a valid additional lot. Includes buyer and location from sales data and parcel, location, and owner from assessment data by matching location in the assessment data to location in the sales data. This may help identify Pams_Pin mismatch between geometry and assessment but takes a long time on large municipalities so please use sparingly.
Show parcels in the assessment data without a matching entry in the geometry data. Without geometry data these cannot be shown on the Index Map nor can a Google Street View panorama be shown in the sidebar.
Show parcels in the sales data without a matching entry in the geometry data. Without geometry data these cannot be shown on the Index Map nor can a Google Street View panorama be shown in the sidebar.
Show changes in the ModIV data between the prior and current data downloads. This is experimental, intended primarily for data custodians and site developers, and uses internal column names.
Show changes in the SR-1A data between the prior and current data downloads. This is experimental, intended primarily for data custodians and site developers, and uses internal column names.
ShowDescription
Show parcels which contain a valid additional_lots field in the Assessment Data.
Show parcels which contain an invalid additional_lots field in the Assessment Data. An invalid field is one that could not be parsed because it contained an unexpected character, a syntax error, a range containing a non-integer, a range that was too large, or a range where the end was greater than the start.
Show parcels where additional lots given in Assessment Data are missing in the Geometry Data. Note that these parcels cannot be shown on the Index Map because they have no geometry data.
Show parcels where additional lots given in Assessment Data are also primary lots of other parcels in the Assessment Data. This is not necessarily an error but is included as an indicator for further examination.
Show parcels where additional lots given in Assessment Data are also additional lots other parcels in the Assessment Data.

Mouseover the buttons below or table column titles for details. The horizontal scrollbar is at the bottom of the table. Scroll down or show fewer entries to show it.