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Context
The dataset tabulates the Pinal 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 Pinal County. The dataset can be utilized to understand the population distribution of Pinal County by age. For example, using this dataset, we can identify the largest age group in Pinal County.
Key observations
The largest age group in Pinal County, AZ was for the group of age 35 to 39 years years with a population of 31,563 (7.03%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Pinal County, AZ was the 85 years and over years with a population of 7,977 (1.78%). 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 Pinal County Population by Age. You can refer the same here
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Graph and download economic data for Resident Population in Pinal County, AZ (AZPINA5POP) from 1970 to 2024 about Pinal County, AZ; Phoenix; AZ; residents; population; and USA.
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Context
The dataset tabulates the Pinal County population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Pinal County. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 247,956 (57.22% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age cohorts:
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 Pinal County Population by Age. You can refer the same here
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Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Pinal County, AZ (B01002001E004021) from 2009 to 2023 about Pinal County, AZ; Phoenix; age; AZ; 5-year; median; and USA.
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Context
The dataset tabulates the Pinal County population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Pinal County.
The dataset constitues the following two datasets across these two themes
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/.
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Graph and download economic data for Estimate of Median Household Income for Pinal County, AZ (MHIAZ04021A052NCEN) from 1989 to 2023 about Pinal County, AZ; Phoenix; AZ; households; median; income; and USA.
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Graph and download economic data for Population Estimate, Total (5-year estimate) in Pinal County, AZ (B03002001E004021) from 2009 to 2023 about Pinal County, AZ; Phoenix; AZ; estimate; 5-year; persons; population; and USA.
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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.
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Context
The dataset tabulates the population of Pinal County by race. It includes the population of Pinal County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Pinal County across relevant racial categories.
Key observations
The percent distribution of Pinal County population by race (across all racial categories recognized by the U.S. Census Bureau): 73.07% are white, 4.61% are Black or African American, 4.68% are American Indian and Alaska Native, 1.51% are Asian, 0.35% are Native Hawaiian and other Pacific Islander, 5.99% are some other race and 9.79% are multiracial.
https://i.neilsberg.com/ch/pinal-county-az-population-by-race.jpeg" alt="Pinal County population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
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 Pinal County Population by Race & Ethnicity. You can refer the same here
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TwitterThe 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) System (MTS). The MTS 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 Feature Names Relationship File contains a record for each feature name and any attributes associated with it. Each feature name can be linked to the corresponding edges that make up that feature in the All Lines shapefile (edges.shp), where applicable to the corresponding address range or ranges in the Address Range Relationship File (addr.dbf), or to both files. Although this file includes feature names for all linear features, not just road features, the primary purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute, which can be used to link to the Address Range Relationship File (addr.dbf). The linear feature is identified by the linear feature identifier (LINEARID) attribute, which can be used to relate the address range back to the name attributes of the feature in the Feature Names Relationship File or to the feature record in the Primary Roads, Primary and Secondary Roads, or All Roads shapefiles. The edge to which a feature name applies can be determined by linking the feature name record to the All Lines shapefile (edges.shp) using the permanent edge identifier (TLID) attribute. The address range identifier(s) (ARID) for a specific linear feature can be found by using the linear feature identifier (LINEARID) from the Feature Names Relationship File through the Address Range/Feature Name Relationship File (addrfn.dbf).
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TwitterThis layer is being made accessible on this platform as part of a larger collaborative project under development by Arizona Water Company, University of Arizona Water Resources Research Center, Babbitt Center for Land and Water Policy, and Center for Geospatial Solutions. This visualization for Pinal County expresses 2021 U.S. Census places data and was altered so as to display this information both within and outside of the Pinal County boundaries. The Active Management Areas (AMA) within Arizona can also be viewed in this visualization.The main source of data present in this map was taken from the following location:U.S. Census Bureau (2021)https://www.census.gov/cgi-bin/geo/shapefiles/index.php
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TwitterThis layer is being made accessible on this platform as part of a larger collaborative project under development by Arizona Water Company, University of Arizona Water Resources Research Center, Babbitt Center for Land and Water Policy, and Center for Geospatial Solutions. This visualization for Pinal County expresses 2021 U.S. Census block, tract, and places data and the boundaries of the Active Management Areas and Pinal County within Arizona. All of these shapefiles have been altered for visualization purposes.The main sources of data present in this feature layer were taken from the following locations:U.S. Census Tiger/Line Shapefiles (2021)2021 TIGER/Line® Shapefiles (census.gov)The University of Arizona (2008)https://repository.arizona.edu/handle/10150/188734Arizona Department of Water Resources GIS Data (2021)https://gisdata2016-11-18t150447874z-azwater.opendata.arcgis.com/datasets/azwater::ama-and-ina-1/explore?location=34.158174%2C-111.970823%2C7.24These shapefiles were altered.
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TwitterThe 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 Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.
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TwitterThe 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. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.
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Resident Population in Pinal County, AZ was 513.86200 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Pinal County, AZ reached a record high of 513.86200 in January of 2024 and a record low of 68.57900 in January of 1970. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Pinal County, AZ - last updated from the United States Federal Reserve on December of 2025.
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TwitterThe 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) System (MTS). The MTS 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 Address Range Relationship File contains the attributes of each address range. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines shapefile (edges.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (edges.shp). The TIGER/Line files contain potential address ranges, not individual addresses.
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TwitterThe 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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.
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TwitterThe 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.
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Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Pinal County, AZ was 7037.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Pinal County, AZ reached a record high of 7075.00000 in January of 2018 and a record low of 3760.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Pinal County, AZ - last updated from the United States Federal Reserve on December of 2025.
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TwitterThe 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) System (MTS). The MTS 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 Address Range/Feature Name Relationship File contains a record for each address range/linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Range Relationship File (addr.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute which can be used to link to the Feature Names Relationship File (featnames.dbf).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Pinal 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 Pinal County. The dataset can be utilized to understand the population distribution of Pinal County by age. For example, using this dataset, we can identify the largest age group in Pinal County.
Key observations
The largest age group in Pinal County, AZ was for the group of age 35 to 39 years years with a population of 31,563 (7.03%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Pinal County, AZ was the 85 years and over years with a population of 7,977 (1.78%). 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 Pinal County Population by Age. You can refer the same here