The Maricopa County Assessor static parcel maps are made available as zipped PDF files. Map IDs are broken down as Township & Range - Section - Quarter Section - Quarter Quarter. For example 807-18-04-00 would be: 807 -- Township 3 North, Range 4 East 18 -- Section 18 04 -- The SouthEast Quarter 00 -- There are no separate quarter quarter maps. MapIDs are only generated where parcels exist with Maricopa County. Last update of a MapID is indicated by the BEGIN_DATE field.

SOURCE

This data was obtained from the Maricopa County Assessor under the search "Fast Food". The query has approximately 1342 results, with only 1000 returned due MCA Data Policies.

DATA CLEANING

Due to some Subdivision Name values posessing unescaped commas that interfered with Pandas' ability to properly align the columns, some manual cleaning in Libre Office was performed by me.

Aside from a handful of Null values, the data is fairly clean and requires little from Pandas.

NULL VALUES

Here are the sums and percentage of NULLS in the dataframe. Interestingly, there are 17 NULLS that do not have any physical addresses. This amounts to 1.7% of values for the Address, City, and Zip, and are all corresponding rows for those missing values.

I have looked into a couple of these on the Maricopa County Assessor's GIS Portal, and they do not appear to have any assigned physical addresses. This is a good avenue of exploration for EDA. Possibly an error that could be corrected, or some obscure legal reason, but interesting nonetheless.

Additionally, there are 391 NULLS in Subdivision Name accounting for 39.1%. This is a feature that I am interested in exploring to determine if there are any predominant groups. It could also generate a list of Entities that can be searched later to see if the dataset can be enriched beyond it's initial 1,000 record limit.

There are 348 NULLS in the MCR column. This is the definition according to the MCA Glossary

MCR (MARICOPA COUNTY RECORDER NUMBER)
Often associated with recorded plat maps.

This seems to be an uninteresting nominal value, so I will drop this columns.

While Property Type and Rental have no NULLS, 100% of those values are Fast Food Restaurant and N (for No), and therefore offer no useful information, and will be dropped.

I will leave the S/T/R column, although it also seems to be uninteresting nominal values, I am curious if there are predominent groups, and since it also has no NULLS, might be useful for further data enrichment.

Assessor Book Boundaries are the aggregated boundaries of the first three digits of an Assessor Parcel Number (APN).

This dataset contain the parcels from the Maricopa County Assessor's office. The area covered is in Maricopa County (Phoenix metro area), Arizona. Major cities include Phoenix, Scottsdale, Mesa and Tempe. Various types of property usage are depicted in this layer. The most common are residential, commercial, industrial and agricultural properties. Multiple sources were used to collect the information including but not limited to CAD packages, aerial photography, and digitizing from paper maps. Adjustments are made where necessary in the process of updating and some parcel lines are only approximate. In cases where a line adjustment might create a loss of landsize it is typically taken out from the right of way to minimize the loss of landsize in the property. The line symbology for different property lines are not available in this dataset. In addition to standard fields the data has unique assessor parcel number for identification, basic temporal information and the location of property.

This map depicts existing and future land use conditions for Maricopa County, Arizona. The Existing Land Use data are derived from Maricopa County Assessor parcels, public land data from Arizona State Land Department, and numerous other sources.

This large-format map, created for Discover Gilbert, showcases the town’s unique features and history through bright photography and engaging callouts. It highlights riparian preserves, foodie destinations, and a vibrant arts and culture scene, while a photojournalistic timeline traces Gilbert’s evolution from “Hay Shipping Capital” to “Phoenix’s Coolest Suburb.” Parks, golf courses, and cultural landmarks are located via a reference grid aligned to the town’s original surveyed Sections, a design choice that marries cartographic function with place-based storytelling. The design adopts Discover Gilbert’s lively palette and distinctive fonts, with locator insets for the greater Phoenix area, and drive time and direction. A silhouette of the Superstitions and the iconic Water Tower anchors the map in its sense of place.This map was almost entirely created in ArcGIS Pro. One of my favorite features is the reference grid that uses the street network. Fun fact: the purple alphanumeric tabs around the edges of the map are repeated in the side panels to help locate points of interest, and use text formatting tags for background, border, color, and font to show the coordinates in a purple box in-line with the text. Other fine cartographic details include the timeline, where the distribution of years is to scale, and the Drive Time and Direction map, where destinations and surrounding towns are placed accurately along concentric circles representing hours from Gilbert, positioned in the correct direction as the crow flies. Data sources include the HIFLD (now deprecated), Maricopa County, Town of Gilbert, Maricopa Association of Governments (a source that I discovered via the AGIC listserv!), Maricopa County Assessor, FAA, USGS NHD, OpenStreetMap, AZ GeoHub (thanks, AGIC!), NHPN, and Esri.

These data represent Socioeconomic Projections for the MAG Region by municipal planning area (MPA)*,adopted June 28, 2023, by the MAG Regional Council. An official set of projections is required to be used in transportation, air quality, and water quality management plans, as well as providing the base for all other regional planning activities. Current projections, therefore, are integral for managing future growth. The development of socioeconomic projections requires the collection and merging of a substantial amount of data from varying sources with differing data quality and resolution. These data include the following:Population and Housing: American Community Survey 5-year data (2017-2021),MAG Residential Completions database, County Property Assessment data, MAG/Arizona Department of Administration (ADOA) Annual Population Estimates.Group Quarters (Institutional and Non-institutional): MAG group quarters inventory.Detailed Population Characteristics: American Community Survey (ACS) Public Use Microdata Sample (PUMS) - 5-year data (2017-2021).Employment: MAG Employer Database, county level control totals developed from the Quarterly Census of Employment and Wages and Bureau of Labor Statistics (QCEW/BLS) data.Residential Completions: Current through 2022Q4, submitted and reviewed by MAG member agencies.Existing Land Use: Land use current as of December 2022, reviewed by MAG Population Technical Advisory Committee (POPTAC).Built Space: Maricopa County Assessor’s data current as of July 2022.Future Plans: General Plans current as of December 2022 or later, reviewed by MAG POPTAC.Development Data: data current as of 2023Q2 or later, reviewed by MAG POPTAC.TAZ system: TAZ2021b supplied by MAG Transportation Division.Educational institutions: Inventory of schools from Arizona Department of Education and post high school institutions.Mobile Home and RV Parks: Inventory of mobile home and RV parks.Retirement Areas: Age restricted communities reviewed by MAG POPTAC.Hotels/Motels/Resorts: Inventory of hotels/motels.For full documentation on the model process, please consult the Socioeconomic Projections Documentation: Data, Models, Methods, and Assumptions in the MAG Socioeconomic Projections 2023 on the MAG website at https://www.azmag.gov.These projections were adopted by the MAG Regional Council on June 28, 2023 for the MAG planning area. Areas outside of the MAG planning area are not adopted by the MAG Regional Council, but are prepared on behalf of Central Arizona Governments (CAG) and adopted separately.*Municipal planning areas are determined by the MAG member agencies in consultation with MAG staff. The MPAs identify the anticipated future corporate limits of a city or town.