How & Why County Population is Changing

… did you know? Of the total 3,144 counties in the United States, 48 have more than 1 million residents as of 2023. Learn which counties, where they are and how/why they are changing. Use tools and methods described in this section to learn about how and why your counties of interest are changing. This is one of a series on the topic of county population dynamics. Click the Follow button to receive update notices.

Largest, Fast Growing Counties
The following graphic shows the largest 10 counties, experiencing 3% or more growth from 2020 to 2023, based on the latest official population estimates. Counties are ranked based on the population percent change 2020 to 2023. Collin County, TX, in the Dallas metro, leads the group with an 11.3% gain. You can create similar but different views/analytics using the OVDAW online tool described below. Click graphic for larger view.

Why these Data are Important
These data are official Federal county statistics. They are used by the Federal, state and local governments in a wide range of application areas. These data are used by Federal agencies to analyze, administer programs, develop other data. The Bureau of Economic Analysis will use these data to produce Personal Income by County and Metropolitan Area, 2023 (November) and Real Personal Consumption Expenditures by State and Real Personal Income by State and Metropolitan Area, 2023 (December), among others. They are used within the Census Bureau as controls for statistical survey estimates. They are the population county components used to develop corresponding CBSA/metro data. They are used as measure of how, why and by how much county population is changing. They provide insights into, for example, where a business might open a new business based in part on changing population. The components of population change tell us yet other things .. reviewed in upcoming blogs.

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Start creating maps and analyzing data.
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More About Population & Components of Change
These “population and components of change” annual data 2020 through 2023 are an annually updated time series enabling stakeholders to examine trends and perform wide-ranging analyses. The 2020-2023 data are model-based estimates developed by the Census Bureau. ProximityOne uses these and related data to develop projections annually through 2060.
Components of change include births, deaths and migration. Estimates and projections are developed using the population identity:
P[t] = P[t-1] + B[t,t-1] + D[t,t-1] + M[t,t-1]
Population for the year t are determined by adding the population last year to births (B), subtracting deaths (D) and adding net migration (M) during the year. The components are determined using separate equations in the model.

About VDA GIS
Use VDA GIS tools to meet wide-ranging mapping needs and geospatial analysis. VDA Desktop GIS and VDA Web GIS have similar features that can be used separately or together. Each is a decision-making information resource designed to help stakeholders create and apply insight. VDA Web GIS is access/used with only a Web browser; nothing to install; GIS experience not required. VDA Desktop GIS is installed on a Windows computer and provides a broader range of capabilities compared to VDA Web GIS. VDA GIS resources have been developed and are maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

Data Analytics Web Sessions
Join us in the every Tuesday, Thursday Data Analytics Web Sessions. See how you can use VDA Web GIS and access different subject matter for related geography. Get your geographic, demographic, data access & use questions answered. Discuss applications with others.

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Join Warren on LinkedIn.

Examining Congressional Districts using VDA Desktop GIS via RDS

.. this section builds on the previous section “Using VDA Desktop GIS with Remote Desktop“. To recap, that section summarized how to make reference and geostatistical maps using the VDA Desktop GIS online via our Remote Desktop Service. Perform simple, easy-to-use mapping tasks, or more advanced geospatial analyses using VDA, Visual Data Analytics, GIS .. Geographic Information Systems. Here I review how to use any VDA GIS project with only Internet and most any device.

An Example using the California CD 06 (CD0646) GIS Project
1. Start VDA Desktop GIS using Remote Desktop Service .. see details.
2. When the RDS screen appears, click the VDAGIS icon, starting VDAD/RDS
.. this shows the default view, the “Base” GIS project.
3. Use File>Open to open the CD0646 GIS project
.. Next, the user could open any available GIS project.
.. Click File>Open then select file c:\cvxe\cd0646\cd0646.gis .. the project opens
.. Congressional District California 46
.. located in the Anaheim – Santa Ana area of Orange County, CA
4. Reviewing the Start-up View
The following graphic shows, the project start-up view
.. California CD 46 (bold boundary) and Congressional Communities
.. examining economic prosperity (median household income) by census tract</a.

CA CD 46 with CCs; Patterns of Economic Prosperity .. click for larger view

Drill-down View of Santa Ana area by Ward .. click for larger view
This zoom-in view shows Santa Ana wards as with red boundaries in context of other geography reviewed above.

See Santa Ana ward boundaries using the official Santa Ana City website.

Citizen Voting Age Population by Block Group .. click for larger view
The following zoom-in view shows patterns of Citizen Voting Age Population (CVAP) by block group (BG) in the Santa Ana area in context of Congressional Community 0646005 (bold black boundary). Label shows total CVAP in that BG.

Drill-down View to Ward-CC-Block .. click for larger view
This zoom-in view shows one Santa Ana ward (red boundary) in context of census blocks (black boundaries) and related Congressional Community (gray bold boundary). Congressional Communities (CC) are geographic areas that nest within a Congressional District (CD), fully and exactly exhausting that CD area. CCs are comprised of a set of contiguous census blocks based on a range of criteria.

What’s Ahead
Updates on using VDA Desktop GIS will be included in forthcoming Blogs.
Don’t miss out! Click Follow in button at upper right.

About VDA GIS
Use VDA GIS tools to meet wide-ranging mapping needs and geospatial analysis. VDA Desktop GIS and VDA Web GIS have similar features that can be used separately or together. Each is a decision-making information resource designed to help stakeholders create and apply insight. VDA Web GIS is access/used with only a Web browser; nothing to install; GIS experience not required. VDA Desktop GIS is installed on a Windows computer and provides a broader range of capabilities compared to VDA Web GIS. VDA GIS resources have been developed and are maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

Data Analytics Web Sessions
Join us in the every Tuesday, Thursday Data Analytics Web Sessions. See how you can use VDA Web GIS and access different subject matter for related geography. Get your geographic, demographic, data access & use questions answered. Discuss applications with others.

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Join Warren on LinkedIn.

Finding & Viewing a Census Tract

.. this section reviews how you can locate a census tract, neighborhood area, for an address or location. Do this with Open VDA Web GIS (OVDAW) with only a browser and Internet connection. No registration, no login, nothing to install. Start OVDAW .. an interactive map appears in a new window. There is no warranty for any aspect of this or related sections. The user is solely responsible for any use made of this or related sections, tools, data.

After the map view shows, enter a ZIP code, location or address in the Search bar and press enter.
.. to illustrate, enter 85258 (a ZIP code in Scottsdale, AZ) and press enter.
A zoom-in then shows a blue triangle marker at the location.
.. in the legend panel at left, click checkbox on for each of these layers:
– ZIP Codes Label (displays ZIP Code area labels/codes in map)
– ZIP Codes (displays ZIP Code area red boundaries in map)
– Tracts Label (displays Tract code and black tract boundaries in map)
.. navigate to preferred view (e.g., pan or zoom in/out)
.. use a screen capture tool to capture view meeting application objective

Pointer in graphic shows ZIP code 85258 with several tracts intersecting the 85258 ZIP code red boundary.

Or .. skip the settings and simply click the marker.
.. the tract area shows as cross-hatched.
.. the tract code and demographic profile shows in lower left panel.
.. optionally click the HTML button below profile panel to view profile as HMTL table.

ZIP Code- Census Tract Equivalence Table
Use this interactive table to view what census tracts intersect with a ZIP code or what ZIP codes intersect with a census tract. Use buttons below the table.

Updates on using VDAGIS with ZIP code and census tract data will be included in forthcoming Blogs. Don’t miss out! Click Follow in button at upper right.

About VDA GIS
Use VDA GIS tools to meet wide-ranging mapping needs and geospatial analysis. VDA Desktop GIS and VDA Web GIS have similar features that can be used separately or together. Each is a decision-making information resource designed to help stakeholders create and apply insight. VDA Web GIS is access/used with only a Web browser; nothing to install; GIS experience not required. VDA Desktop GIS is installed on a Windows computer and provides a broader range of capabilities compared to VDA Web GIS. VDA GIS resources have been developed and are maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

Data Analytics Web Sessions
Join us in the every Tuesday, Thursday Data Analytics Web Sessions. See how you can use VDA Web GIS and access different subject matter for related geography. Get your geographic, demographic, data access & use questions answered. Discuss applications with others.

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Join Warren on LinkedIn.

Examining Chinese Demographics by Census Tract

.. the 2021 U.S. Chinese (except Taiwanese) resident population estimate was 4,103,036 of total U.S. population 331,893,745 (1.25%) based on the ACS 2021 1-year data — a small percentage. But when examined by census tract many areas have a relatively large Chinese population. The focus of this section is on tools and data to examine patterns and characteristics of the Chinese population by 2020 census tract. To facilitate these analyses, a new Mapping Statistical Data project (MSD 071123) has been developed and is available to CV XE GIS and VDA Desktop users. The project has been used to develop the map graphic shown below. Develop similar drill-down views for other regions using these tools/data. The GIS project enables examining other characteristics of the Chinese population by census tract. The Chinese population is one of several population groups that can be studied in this manner.

Patterns of Percent Chinese Population by Census Tract in the San Francisco Area
The following graphic shows a thematic map of the percent Chinese population by tract in the San Francisco area. See the inset legend showing colors representing percent intervals.

Patterns of Chinese Population by Census Tract in the New York City Area
Tracts with the largest Chinese population are mainly in New York City as shown in the graphic below. Using the VDA table feature the “Chinese” field is ranked in descending order. Tract 36-061-000080 has the largest Chinese population among all tracts, 7,494.

About VDA GIS
There are two VDA GIS tools that have similar features that can be used separately or together. Each is a decision-making information resource designed to help stakeholders create and apply insight. VDA Web GIS is access/used with only a Web browser; nothing to install; GIS experience not required. VDA Desktop GIS is installed on a Windows computer and provides a broader range of capabilities compared to VDA Web GIS. VDA GIS resources have been developed and are maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

Data Analytics Web Sessions
Join us in the every Tuesday, Thursday Data Analytics Web Sessions. See how you can use VDA Web GIS and access different subject matter for related geography. Get your geographic, demographic, data access & use questions answered. Discuss applications with others.

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Join Warren on LinkedIn.

Mapping Statistical Data

.. statistical mapping & visual data analysis … Geographic Information Systems (GIS) provide flexible and powerful capabilities to combine maps/geography with statistical data. In our increasingly data rich environment, we often experience “drowning in data.” GIS tools can help harness disparate and voluminous data and assist with data linkage. We are continuing to update the Mapping Statistical Data (MSD) program, providing access to ready-to-use, “production” GIS projects and datasets that you can use. This post reviews GIS tools that help enable this .. gaining insights by mapping and geospatial analysis of statistical data. Take a look at the recent addition .. census tracts experiencing persistent poverty. Follow this blog to learn about new, additional projects added to the MSD program.

The Virtual Data Analytics (VDA) Geographic Information System (about GIS) tools/resources operate on two platforms. The VDA Desktop GIS (VDAD) operates on a Windows computer. The VDA Web GIS (VDAW) operates on most devices, including Macs and phones, and is accessed/used with a browser. VDAD and VDAW can optionally use the same GIS project. Three examples of using the Congressional Communities GIS project using different VDA GIS tools are shown below. They look almost identical (the objective). Click graphic for larger view. See more about the Congressional Communities project.

VDA Desktop GIS – Opening a Local GIS Project
In this example, all files are stored locally.
The user interface is managed by VDA Desktop GIS program on the local computer.

VDA Desktop GIS – Opening a Web GIS Project
In this example, all files are stored on a VDA GIS server.
The user interface is managed by VDA Desktop GIS program on the local computer.

VDA Web GIS – Opening a Web GIS Project
In this example, all files are stored on a VDA GIS server.
The user interface is managed by VDA Web GIS on a VDA server.

About VDA GIS
There are two VDA GIS tools that have similar features that can be used separately or together. Each is a decision-making information resource designed to help stakeholders create and apply insight. VDA Web GIS is access/used with only a Web browser; nothing to install; GIS experience not required. VDA Desktop GIS is installed on a Windows computer and provides a broader range of capabilities compared to VDA Web GIS. VDA GIS resources have been developed and are maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

Data Analytics Web Sessions
Join us in the every Tuesday, Thursday Data Analytics Web Sessions. See how you can use VDA Web GIS and access different subject matter for related geography. Get your geographic, demographic, data access & use questions answered. Discuss applications with others.

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Join Warren on LinkedIn.

Measuring & Analyzing Households by Social Class by PUMA

.. a social class is a population or household group typically referred to as a lower, middle and upper class. The size of the population or households in a social class is often determined in relationship to an interval related to the median household income of an area — from two-thirds of median household income to twice the median household income (MHI). Subsequent blog posts will address a broader definition for class determination. By better understanding composition and determinants of social class for an area, we might better understand and improve on income inequality and create new opportunities. This is a multi-part blog post on social class analytics. Click Follow at right to receive updates.

Percent Population in Households by Social Class by PUMA
.. Los Angeles area .. click for larger view.

Los Angeles metro area by social class .. PUMAs shown with black boundaries; pointer at Los Angeles-Orange County line

Percent of Households by Social Class by PUMA
.. Los Angeles area .. click for larger view.

Los Angeles metro area by social class .. PUMAs shown with black boundaries; pointer at Los Angeles-Orange County line

Using American Community Survey Microdata
We use of the American Community Survey microdata or “public use microdata samples” (PUMS) http://proximityone.com/pums.htm to develop estimates of population and households by middle class, lower class and upper class by “public use microdata area” (PUMA) http://proximityone.com/puma.htm. Microdata files are comprised of anonymized individual respondent data within PUMAs. The approximate 2,800 PUMAs cover the U.S. wall-to-wall and must have 100,000 population or more. 2010 and 2020 vintages PUMAs may be examined and compared with other geography using the VDA Web GIS http://proximityone.com/vda.htm with the MetroDynamics Project.

Social Class Participation by PUMA
Using custom software, the PUMA (ACS 2021 1 year data in this case), individual housing records are summarized for each PUMA. An estimate is developed for the lower, middle and upper class based on an algorithm.

Examine patterns of social class stratification using VDA Web GIS anywhere in U.S.
The estimates are then integrated into a PUMA shapefile. The PUMA shapefile is added to a Geographic Information System (GIS). Access this shapefile/layers using VDA Web GIS to examine patterns of social class, such as the graphics shown above, or in combination with other geography and subject matter.

About VDA GIS
VDA Web GIS is a decision-making information resource designed to help stakeholders create and apply insight. Use VDA Web GIS with only a Web browser; nothing to install; GIS experience not required. VDA Web GIS has been developed and is maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

Data Analytics Web Sessions
Join us in the every Tuesday, Thursday Data Analytics Web Sessions. See how you can use VDA Web GIS and access different subject matter for related geography. Get your geographic, demographic, data access & use questions answered. Discuss applications with others.

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Join Warren on LinkedIn.

118th Congressional District Demographic Characteristics

.. what are the geographic, demographic, economic characteristics of a congressional district of interest? What are peer group congressional districts based on these characteristics? How might coalitions on selected topics better evolve? How can you communicate more effectively on policy issues to your congressional district leadership? How can you vote in a more informed manner by better understanding these matters? Use the VDA Web GIS Congressional Districts project to get these answers using only a Web browser. Learn more about Geographic Information Systems (GIS). This is a multi-part blog post on congressional district analytics. Click Follow at right to receive updates.

The November 2022 elections determined the representatives for the 118th Congressional Districts (CDs). The 118th Congress is in session from January 2023 to December 2024. The 118th Congressional District boundaries reflect the redistricting process based on Census 2020 results. While CDs have about the same population size within a state, the demographic composition varies widely. Use the VDA Web GIS Congressional Districts project to examine CD demographic-economic characteristics. Selected highlights are reviewed below.

These illustrative thematic pattern maps are based on data from the American Community Survey 2021 1-year estimates. Create your own maps and perform geospatial analyses using the VDA Web GIS with the Congressional Districts project. Nothing to install. Access using a Web browser. Start here. Sign up and login. Select the Congressional Districts project.

General Demographics — Percent Majority-Minority
Examine general demographics characteristics like topics on age and race/origin.

Social Characteristics — Educational Attainment
Examine social characteristics like household composition, mobility, enrollment, educational attainment.

Economic Characteristics — Economic Prosperity
Examine economic characteristics like labor force attributes, employment by occupation industry, income and benefits.

Housing Characteristics — Housing Value
Examine housing characteristics like owner/renter, units in structure, year structure built, housing value, rent, housing cost burden.

What’s Ahead — Upcoming Congressional District Blog Posts
This section has introduced tools to examine congressional districts at the national/regional level. The same tools and Congressional District project can be used to drill-down to the neighborhood level. Examine how characteristics within a congressional district vary within the district .. to be covered in subsequent posts. Learn more about examining these data in a tabular manner and geospatial analysis.

Upcoming topics .. drill-down analytics like this illustrative view
.. Atlanta, GA area .. CDs bold boundary labeled with CD code.
.. patterns of economic prosperity (median household income) by census tract
.. pointer & Atlanta city in GA05
.. easy to see how GA05 and GA06 radically different

About VDA GIS
VDA Web GIS is a decision-making information resource designed to help stakeholders create and apply insight. Use VDA Web GIS with only a Web browser; nothing to install; GIS experience not required. VDA Web GIS has been developed and is maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

Data Analytics Web Sessions
Join us in the every Tuesday, Thursday Data Analytics Web Sessions. See how you can use VDA Web GIS and access different subject matter for related geography. Get your geographic, demographic, data access & use questions answered. Discuss applications with others.

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Join Warren on LinkedIn.

Examining City GeoDemographic Drilldown; Intersecting Tracts and Places

.. how can “our city” do a better job of providing housing for low-income individuals and families? One part of a successful program involves looking at attributes of the neighborhood, or census tract, geography across the city. We need to analyze needs by city component census tracts, areas averaging 4,000 population. Here is how that might be approached — determining which census tracts. And while this applies to low income housing, it applies to many other planning topics.

Relate census tract geography to city/place geography using GIS tools for analytical purposes … determine which tracts intersect a city/place. This section considers intersecting tracts and places for illustrative purposes. But the methodology, and tools to do this, involve many, many other types of geography .. geographic spatial intersection. The inputs in this case are U.S. national scope 2020 census tracts (85,190 areas covering the U.S. wall-to-wall) and U.S. national scope 2020 places (32,188 areas). The output from the process of intersecting these geographies are tract-place intersecting parts (119,906 areas). There are 32,146 tracts that are wholly contained in places.

Developing Intersect Files
Tracts intersecting with cities can be determined using the VDAGIS Intersect tool. Select the two input shapefiles and name the intersect output shapefile. The intersect shapefile is added to the GIS project being used.

Focusing on a City
What tracts intersect a city of interest? By having this information, stakeholders, policymakers can study and better understand inequities, differences and needs across the city. Consider Santa Ana, CA (Orange County). There are 65 tracts that intersect with the city of Santa Ana. This could be any city across America. The following view shows Santa Ana with intersecting tracts.

By viewing the intersecting file in VDAGIS, intersecting tracts can be examined. The graphic below shows a zoom-in to tract 06059089102 (blue boundary). This tract is shown at the pointer in the above graphic. in the following zoom-in view, the white label shows the tract code for the whole tract and the two split parts are shown with the same code. The part to the right in Santa Ana city, the part to the left is in Garden Grove city.

Using the intersecting file, the list (a partial list) of these tracts and tract codes can be determined as shown below. By knowing the tract codes, detailed demographic-economic data can be pulled using DEDE and tract characteristics can be studied. Inequities ab be examined, special needs can be determined, east versus west tract groups might identify patterns to facilitate collaboration and policy development. What are the patterns of affordable housing across the city?

About VDAGIS
VDA Web GIS is a decision-making information resource designed to help stakeholders create and apply insight. Use VDA Web GIS with only a Web browser; nothing to install; GIS experience not required. VDA Web GIS has been developed and is maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Join Warren on LinkedIn.

Census 2020 – First Results

.. the first results of Census 2020, the apportionment data, were released on April 26, 2021.  Based on the decennial census, the United States total resident population increased from 308,745,538 (2010) to 331,449,281 (2020), a change of 22,703,743 (7.3%). For now, these data should be trusted and assumed accurate.  The apportionment data provide only total population counts at the state level.  More will be revealed about the accuracy of these data when the redistricting data are released in August 2021.

Apportionment of the U.S. House of Representatives
Congressional apportionment is the process of dividing the 435 members, or seats, in the House of Representatives among the 50 states based on the population data from the decennial census. See more about congressional districts and demographic-economic characteristics. See this related web section for detailed information on apportionment. Use the interactive table to view/analyze the Census 2010 and Census 2020 apportionment data. The following view shows patterns of congressional seats based on the decennial census. Labels show the number of seats based on the 2020 Census. Color patterns show the change in seats, 2010 to 2020.

Census 2020: the Process & Challenges
Counting the total population and selected population attributes in a pandemic is not only challenging but not possible.  During 2020, as the data were collected, it seemed good news that more than two-thirds of the potential respondents had completed the questionnaire.  But then the questions set in.  Bureau public announcements frequently made reference to the number or housing units and the number of households (occupied housing units) “accounted for” reaching 90 percent and progressively more.  By observation, using administrative record data, and other methods, housing units can be much more easily counted than the population and population attributes.  Likewise, determining the number households is  easier than determining the population count and characteristics.

The fact that the state population counts were unexpectedly different from the Bureau’s model based estimates is troubling.  We seek more assurance that the count of  population and population characteristics — by location — are as represented by the apportionment data.

Census Bureau 2020 Model-Based Estimates
New Census Bureau sourced U.S. by county model-based population estimates by age/gender/race-origin as of July 1, 2020 will be released by the Bureau in May 2021.  These estimates are independent of Census 2020 and make use of methods used annually throughout the 2010-2020 period.  An upcoming blog will report on ProximityOne’s analysis of these estimates in comparison with the Census 2020 data.

ProximityOne Estimates & Projections to 2060
ProximityOne annual demographic estimates and projections 2010-2060 by county will begin a new update cycle in May 2021.  The schedule is shown here.  

Starting with the May updates, two base projection series will be developed and progressively updated: one controlled to the Census 2020 data and one based on continued use of 2020 model-based estimates. As more information is released from Census 2020. Follow this blog for more information on evolving developments.

Learn more — Join me in the Data Analytics Web Sessions
Join me in a Accessing & Using GeoDemographics Web Session where we discuss topics relating to measuring and interpreting the where, what, when, how and how much demographic-economic change is occurring and it’s impact.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

New Monthly Residential Construction

.. staying ahead of how and where demographics are changing. Among all monthly new authorized residential construction permit issuing cities/places, Raleigh, NC led the U.S. with 1,749 total units followed by Austin, TX with 1,563 total units in February 2021. See more about this leading economic indicator for cities/places using interactive table below. Data on housing patterns and trends are essential for wide-ranging decision-making applications. Using ProximityOne resources to examine housing characteristics and trends ..

We post monthly and more frequent updates on what New Authorized Residential Construction data are telling us. The March 2021 city/county data will be released this week. Access the latest data for your areas of interest. Click the Follow button at right to keep up-to-date.

Monthly New Authorized Residential Construction
ProximityOne maintains a national monthly time-series database providing access to new authorized residential construction data.  The table presented below summaries key subject matter items available at the city and county level.. These data are one of eleven leading economic indicators. The housing market is often one of the first economic sectors to expand or contract when economic conditions improve or decline. With only a one month lag from reference data to availability date, these measures are early indicators of housing market change. This change typically leads to other types of economic change.

Patterns of New Residential Construction: February 2021; Phoenix Area
Using GIS tools to examine new authorized residential construction .. as an example, the following graphic shows that the City of Phoenix had 1,373 new authorized total units in February 2021. Cities/places shown with black outline.

View Most Month in Tabular Form
Use the interactive table to view these data in a tabular form as shown below.

Scope of Subject Matter
The database is updated monthly and contains monthly and annual data. The scope of subject matter is illustrated as shown below — the number of new units authorized and value by type of structure for Fresno County, CA.

Learn more — Join me in the Data Analytics Web Sessions
Join me in a Accessing & Using GeoDemographics Web Session where we discuss topics relating to measuring and interpreting the where, what, when, how and how much demographic-economic change is occurring and it’s impact.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.