State of the States: 2019

.. the State of the States reports and information service provide insights into demographic, economic & business characteristics.  Unique in their composition,  updated daily/weekly, the reports summarize what’s changing where & when and assessing what’s ahead. It organizes disparate Federal statistical data and presents those data in an organized, consumable manner. A resource to help determine how change might affect you, it is an indispensable resource for investors, leaders, policymakers, researchers and decision-makers. See State of the States main section for more information.  Your briefing notes, organized by state.

Some details .. the U.S. economy is slowing, dragged down by trade tensions and weak growth overseas. But there are few signs that the decade-long expansion is on the verge of stalling out. Real Gross Domestic Product (RGDP), the broadest measure of goods and services produced in the economy, rose at a 2.1 percent annual rate in 2019Q2, down from 3.1 percent in 2019Q1, according to preliminary data released by the Bureau of Economic Analysis on 7/26/19.

But what about the states, and what about related measures? In Texas, the 2019Q1 change from 2018Q4 was 5.1 percent annual rate. Texas ranked 2nd among all states. The 2019Q2 state GDP will be posted in section 6.5 on Nov. 7, 2019 (see in scheduled updates). How does Texas compare to other states and the U.S.  Answers are organized in the reports.  Create insights. Share with others.

Part of a multi-dimensional information resource, the state of the states report has been derived from the Situation & Outlook (S&O) database, updated daily. ProximityOne uses the historical S&O database to develop current demographic-economic estimate and projections.

View the U.S. or a State Report .. click a link
.. illustrative reports .. see more about report structure & options in report.
United States
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin

Demographic Analytics Web Sessions
Join me in a Demographics Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for 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.

Monthly Local Area Employment Situation: 2017

.. tools & data to examine the local area employment situation .. this update on the monthly and over-the-year (Jan 2016-Jan 2017) change in the local area employment situation shows general improvement. Yet many areas continue to face challenges due to both oil prices, the energy situation and other factors.  This section provides access to interactive data and GIS/mapping tools that enable viewing and analysis of the monthly labor market characteristics and trends by county and metro for the U.S. See the related Web section for more detail. The civilian labor force, employment, unemployment and unemployment rate are estimated monthly with only a two month lag between the reference date and the data access date (e.g., March 2017 data are available in May 2017).

Use our new tools to develop your own LAES U.S. by county time series datasets. Link your data with LAES data. Run the application monthly extending/updating your datasets. Optionally use our 6-month ahead employment situation projection feature. See details

Unemployment Rate by County – January 2017
The following graphic shows the unemployment rate for each county.

— view created using CV XE GIS and associated LAES GIS Project
— click graphic for larger showing legend details.

New with this post are the monthly 2016 monthly data on the labor force, employment, unemployment and unemployment rate. Use the interactive table to view/analyze these data; compare annual over the year change, January 2016 to January 2017.

View Labor Market Characteristics section in the Metropolitan Area Situation & Outlook Reports, providing the same scope of data as in the table below integrated with other data. See example for the Dallas, TX MSA.

The LAES data and this section are updated monthly. The LAES data, and their their extension, are part of the ProximityOne Situation & Outlook database and information system. ProximityOne extends the LAES data in several ways including monthly update projections of the employment situation.

Interactive Analysis
The following graphic shows an illustrative view of the interactive LAES table. In January 2017, 149 counties experienced an unemployment rate of 10% or more. The graphic shows counties experienced highest unemployment rates. Use the table to examine characteristics of counties and metros in regions of interest. Click graphic for larger view.

Metro by County; Integrating Total Population
The following graphic shows an illustrative view of the interactive LAES table focused on the Chicago MSA. By using the query tools, view characteristics of metro component counties for any metro. This view shows Chicago metro counties ranked on January 2017 unemployment rate (only 10 of the 14 metro counties shown in this view). Click graphic for larger view.

The above view shows the total population (latest official estimates) as well as employment characteristics.

More About Population Patterns & Trends
U.S. by county population interactive tables & datasets:
  • Population & Components of Change 2010-2016 – new March 2017.
  • Population Projections to 2060 2010-2060 – updated March 2017.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for 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.

Monthly Local Area Employment Situation; 2015-2016

.. this update on the monthly and over-the-year (August 2015-August 2016) change in the local area employment situation shows general improvement. Yet many areas continue to face challenges due to both oil prices, the energy situation and other factors.  This section provides access to interactive data and GIS/mapping tools that enable viewing and analysis of the monthly labor market characteristics and trends by county and metro for the U.S. See the related Web section for more detail. The civilian labor force, employment, unemployment and unemployment rate are estimated monthly with only a two month lag between the reference date and the data access date (e.g., August 2016 data are available in October 2016).

Unemployment Rate by County – August 2016
The following graphic shows the unemployment rate for each county.

— view created using CV XE GIS and associated LAES GIS Project
— click graphic for larger showing legend details.

As shown in the illustrative interactive table view below, seven of the ten MSAs having the highest August 2016 unemployment rate were in California. Use the table to examine characteristics of counties and metros in regions of interest. As apparent from the monthly patterns shown in the table, some areas are impacted by season factors, but others are not.

View Labor Market Characteristics section in the Metropolitan Area Situation & Outlook Reports, providing the same scope of data as in the table below integrated with other data. See example for the Dallas, TX MSA.

The LAES data and this section are updated monthly. The LAES data, and their their extension, are part of the ProximityOne Situation & Outlook database and information system. ProximityOne extends the LAES data in several ways including monthly update projections of the employment situation one year ahead.

Interactive Analysis
The following graphic shows an illustrative view of the interactive LAES table. Seven of the ten MSAs having the highest August 2016 unemployment rate were in California (ranked on far right column in descending order). Use the table to examine characteristics of counties and metros in regions of interest. Click graphic for larger view.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for 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.

Metro Situation & Outlook Reports Updated

Regional Demographic-Economic Modeling System (RDEMS) county table links are now embedded in Metro Situation & Outlook (S&O) Reports. Easily access the RDEMS county demographic-economic tables for metros of interest.

Use this link to access the Metro S&O Reports:
http://proximityone.com/metro_reports.htm
… click link in the “Code” column to access a specific metro.

… selected metros …
Atlanta .. Boston .. Charlotte .. Chicago .. Dallas .. Denver .. Los Angeles .. Honolulu .. Houston .. Miami .. Minneapolis .. New York .. Philadelphia .. Phoenix .. San Diego .. San Francisco .. Seattle .. Washington

All metros are available.

Join in … join us in the Data Analytics Lab sessions to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

State and Regional Decision-Making Information

Organized on a state-by-state basis, use tools and geographic, demographic and economic data resources in these sections to facilitate planning and analysis. Updated frequently, these sections provide a unique means to access to multi-sourced data to develop insights into patterns, characteristics and trends on wide-ranging issues. Bookmark the related main Web page; keep up-to-date.

Using these Resources
Knowing “where we are” and “how things have changed” are key factors in knowing about the where, when and how of future change — and how that change might impact you. There are many sources of this knowledge. Often the required data do not knit together in an ideal manner. Key data are available for different types of geography, become available at different points in time and are often not the perfect subject matter. These sections provide access to relevant data and a means to consume the data more effectively than might otherwise be possible. Use these data, tools and resources in combination with other data to perform wide-ranging data analytics. See examples.

Select a State/Area

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware D.C. Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas

Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina

North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

Topics for each State — with drill-down to census block
• Visual pattern analysis tools … using GIS resources
• Digital Map Database
• Situation & Outlook
• Metropolitan Areas
• Congressional Districts
• Counties
• Cities/Places
• Census Tracts
• ZIP Code Areas
• K-12 Education, Schools & School Districts
• Block Groups
• Census Blocks

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for 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.

Metros 2016: Honolulu, HI Situation & Outlook

… examining Honolulu, Hawaii metropolitan area:
• How will the market for single family homes change in the next 5 years?
• How does economic prosperity in this metro compare to others?
• What are the patterns in metro rental income and rental vacancy rates?
• How do patterns vary within the metro by county/neighborhood?
• How are demographic-economic characteristics trending?

We examine these types of topics in this section. Stakeholders can replicate applications reviewed here for this and other metros. Select any metro.

.. this section now continuously updated … see Honolulu Metro Situation & Outlook; see related Hawaii Demographic-Economic Characteristics.

Metropolitan areas include approximately 94 percent of the U.S. population — 85 percent in metropolitan statistical areas (MSAs) and 9 percent in micropolitan statistical areas (MISAs). Of 3,143 counties in the United States, 1,167 are in the 381 MSAs in the U.S. and 641 counties are in the 536 MISAs (1,335 counties are in non-metro areas).

Focus on Honolulu, Hawaii MSA
This section is focused on the Honolulu, Hawaii MSA (formally designated by OMB as “Urban Honolulu, HI”); Core-Based Statistical Area (CBSA) 46520. It is not intended to be a study of the metro but rather illustrate how relevant decision-making information resources can be brought together to examine patterns and change and develop insights. The data, tools and methods can be applied to any metro. – See a more detailed version of this document focused on this metro.

The Honolulu MSA is shown in the graphic below. The single county metropolitan statistical area is shown with bold boundary; counties appear with black boundaries and county name/geographic code labels.

Click graphic for larger view. Map developed using CV XE GIS.

This metro is home to Fortune 1000 companies including Hawaiian Electric Industries, Inc. and Hawaiian Holdings, Inc.

Principal cities (about principal cities)
… click the link to view city profile   Urban Honolulu.

The total population of the Urban Honolulu, HI metro changed from 956,336 in 2010 to 991,788 in 2014, a change of 35,452 (3.71%). Among all 917 metros, this metro was ranked number 54 in 2010 and 54 in 2014, based on total population. Annual net migration was 3,980 (2011), 3,901 (2012), 4,316 (2013), -634 (2014). View annual population estimates and components of change table. See more about population characteristics below.

This metro is projected to have a total population in 2020 of 1,061,105. The projected population change from 2010 to 2020 is 104,769 (11.0%). The population ages 65 years and over is projected to change from 142,858 (2010) to 201,180 (2020), a change of 58,322 (40.8%). See more about population projections.

Based on per capita personal income (PCPI), this metro was ranked number 62 in 2008 and 74 in 2014. among the 917 metros for which personal income was estimated.The PCPI changed from $44,693 in 2008 to $49,722 in 2014, a change of $5,029 (11.3%). Per capita personal income (PCPI) is a comprehensive measure of individual economic well-being. Use the interactive table to compare PCPI in this metro to other metros. See more about PCPI in Economic Characteristics section below.

282 metropolitan statistical areas, of the total 381, experienced an increase in real Gross Domestic Product (GDP) between 2009 and 2014. This metro ranked number 51 among the 381 metros based on 2014 GDP. The GDP (millions of current dollars) changed from $49,506 in 2009 to $59,271 in 2014 a change of $9,765 (19.72%). Real GDP (millions of real, inflation adjusted, dollars) changed from $49,506 in 2009 to $54,089 in 2014, a change of $4,583 (9.26%). GDP is the most comprehensive measure of metro economic activity. GDP is the sum of the GDP originating in all industries in the metro. See more about GDP in Economic Characteristics section below.

Attributes of drill-down, small area geography within the metro … metros account for 65,744 of the national scope 73,056 census tracts (others are in non-metro areas). This metro is comprised of 244 tracts covering the metro wall-to-wall. View, rank, compare demographic-economic attributes of these tracts using the interactive tables. Use the CBSA code 46520; see table usage details below the table.

The following thematic pattern shows a measure of economic prosperity (median household income: MHI) by census tract.

Click graphic for larger view. Map developed using CV XE GIS.
Develop variations of this map view using the Mapping Hawaii Neighborhood Patterns GIS resources.

See Zoom-in view>.

View additional selected details about the metro …
–  Component City Characteristics
–  Attributes of New Authorized Construction updated monthly
–  Component County Characteristics
–  Economic Profile
–  Component School District Characteristics

Join me in a Data Analytics Lab session to discuss more details about this metro, comparing this metro to peer group metros and use of data analytics to develop further detail related to your situation.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for 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.

Mapping Statistical Data

.. GIS tools & data resources that you can use for statistical mapping & visual data analysis … Geographic Information Systems (GIS) provide flexible and powerful capabilities to combine maps with 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. This section provides links to other sections that provide information on no cost GIS software and “production” GIS projects and datasets that you can use.

Patterns of Per Capita Personal Income Change 2008-14 by County
— relative to U.S. PCPI 2008-14 change
To illustrate, the following graphic shows patterns of per capita personal income change 2008 to 2014 by county relative to the U.S. See more information. Click graphic for larger view with legend and additional details. Make variations of this map view using resources described in this section. Optionally integrate your own data.

— view created using CV XE GIS and associated REIS GIS Project

GIS provides us with a way to improve collaboration; we can more easily comprehend and understand geographic relationships and patterns among “variables” and statistical data. As we reduce tabular data to visual representations, we are better able to communicate “what the data are telling us” among stakeholders and teams/committees. This second dimension, learning what the data are telling us, provides the power of creating insights for more effective decision-making.

Mapping Statistical Data Topics
Most applications presented in this section involve use of Windows-based desktop GIS software. The software and GIS project files and datasets are installed on your computer. These resources are available for use by members of the User Group at no fee.  Click a link below to view additional details about a topic of interest.  There you find a description of the scope and use of the data/geography, steps to access and use the GIS projects/datasets and getting started tutorials.
• World by Country
• U.S. by State
• U.S. by Congressional District
• U.S. by Metropolitan Area
• U.S. by County
• U.S. by City/Place
• U.S. by ZIP Code Area
• State by Census Tract (each/all states)
• State by Block Group
• State by Census Block
• K-12 Schools & School District Data Analytics

Applications make use of a range of statistical data from the Federal Statistical System, and other sources, integrated with shapefiles from the Census Bureau TIGER/Line shapefiles, OpenStreetMaps, and other sources.

Join me in a Data Analytics Lab session to discuss accessing, integrating and using these resources … and linking these data/geography with other data that relate to your situation.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for 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.

Tools to Analyze the Local Area Employment Situation

.. December 2015; updated monthly … current, monthly data on the employment situation are essential to assess recent trends. The only historical source of these data for all metropolitan areas, counties and sub-county areas is the Bureau of Labor Statistics (about these data). The civilian labor force, employment, unemployment and unemployment rate are estimated monthly with only a two month lag between the reference date and the data access date (e.g., February 2016 data are available in April 2016). Historical monthly seasonally adjusted and non-adjusted time-series data are available. Use tools and resources provided/described in this section to access and analyze these Local Area Employment Situation (LAES) data. See related Web page with interactive ranking table.

Unemployment Rate by Metro
The following graphic shows the unemployment rate by metro.
— view created using CV XE GIS and associated LAES GIS Project

The LAES data and this section are updated monthly. The LAES data, and their their extension, are part of the ProximityOne Situation & Outlook database and information system. ProximityOne extends the LAES data in several ways including monthly update projections of the employment situation one year ahead.

Use the interactive table in the related Web page to view, sort, compare employment situation characteristics by Core-Based Statistical Area (CBSA) — metropolitan and micropolitan statistical areas.

Analyze Labor Market Characteristics in Context of Other Data
The Metropolitan Area Situation & Outlook Reports provide a labor market characteristics monthly time-series table. Select a metro using this interactive table. Examine the labor market data in context with wide-ranging related demographic-economic data.

Visual Pattern and GeoSpatial Analysis
Use the CV XE GIS software and LAES GIS project to create thematic pattern maps and integrate the employment situation data with other data. ProximityOne User Group members may install the LAES GIS Project at no fee and prepare thematic pattern maps like the one shown above and below. The map shown below shows the unemployment rate for each CBSA for a year earlier than the above map. Compare the maps and see how patterns have changed.

— view created using CV XE GIS and associated LAES GIS Project

Using the LAES GIS Project
Use the LAES GIS Project to develop maps, such as those shown above, and perform geospatial analysis operations. The LAES GIS Project updates monthly as new data become available. The CBSA layer/shapefile includes monthly civilian labor force, employment, unemployment and unemployment rate estimates for each month from January 2014 through the most recent estimate month (e.g., the December 2015 release includes monthly data from January 2014 through October 2015). Steps to develop custom thematic pattern maps are summarized below (requires Windows computer with Internet connection)
1. Install the ProximityOne CV XE GIS
… run the CV XE GIS installer
… take all defaults during installation
2. Download the LAES GIS project fileset
… requires ProximityOne User Group ID (join now, no fee)
… unzip LAES GIS project files to local folder c:\laes
3. Open the c:\laes\laes1.gis project
… after completing the above steps, click File>Open>Dialog
… open the file named c:\laes\laes1.gis
4. Done. The start-up view is shown at top of this section.

Join me in a Data Analytics Lab session to discuss accessing, integrating and using these data with other data that relate to your situation.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for 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.

Resources to Analyze the Local Area Employment Situation

.. April 2015; updated monthly … current, monthly data on the employment situation are essential to assess recent trends. The only historical source of these data for all metropolitan areas, counties and sub-county areas is the Bureau of Labor Statistics (about these data). The civilian labor force, employment, unemployment and unemployment rate are estimated monthly with only a two month lag between the reference date and the data access date (e.g., February 2015 data are available in April 2015). Historical monthly seasonally adjusted and non-adjusted time-series data are available. Use tools and resources provided/described in this section to access and analyze these Local Area Employment Situation (LAES) data. See related Web page with interactive ranking table.

February 2015 Unemployment Rate by Metro (CBSA)
The following graphic shows the February 2015 unemployment rate by metro.
— view created using CV XE GIS and associated LAES GIS Project

The LAES data and this section are updated monthly. The LAES data, and their their extension, are part of the ProximityOne Situation & Outlook database and information system. ProximityOne extends the LAES data in several ways including monthly update projections of the employment situation one year ahead.

Use the interactive table in the related Web page to view, sort, compare employment situation characteristics by Core-Based Statistical Area (CBSA) — metropolitan and micropolitan statistical areas.

Visual Pattern and GeoSpatial Analysis
Use the CV XE GIS software and LAES GIS project to create thematic pattern maps and integrate the employment situation data with other data. ProximityOne User Group members may install the LAES GIS Project at no fee and prepare thematic pattern maps like the one shown above and below. The map shown below shows February 2014 unemployment rate for each CBSA (a year earlier than the above map). Compare the maps and see how patterns have changed.

— view created using CV XE GIS and associated LAES GIS Project

Using the LAES GIS Project
Use the LAES GIS Project to develop maps, such as those shown above, and perform geospatial analysis operations. The LAES GIS Project updates monthly as new data become available. The CBSA layer/shapefile includes monthly civilian labor force, employment, unemployment and unemployment rate estimates for each month from January 2013 through the most recent estimate month (e.g., the April 2015 release includes monthly data from January 2013 through February 2015). Steps to develop custom thematic pattern maps are summarized below (requires Windows computer with Internet connection)
1. Install the ProximityOne CV XE GIS
… run the CV XE GIS installer
… take all defaults during installation
2. Download the LAES GIS project fileset
… requires ProximityOne User Group ID (join now, no fee)
… unzip LAES GIS project files to local folder c:\laes
3. Open the c:\laes\laes1.gis project
… after completing the above steps, click File>Open>Dialog
… open the file named c:\laes\laes1.gis
4. Done. The start-up view is shown at top of this section.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for 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.

Data Analytics & API Applications

Possibly the most well known APIs (Application Programming Interface) are the Google APIs. Among these, the Google Maps API, or its use, might be the most familiar. See about integrating political/statistical geography and Google Maps API. This section reviews different types of APIs.

Data Analytics and APIs
API technology/tools play an important role in accessing and integrating geographic, demographic and economic data. APIs offer two types of benefits. For Web-based applications, APIs provide the ability for on-the-fly access to selected demographic-economic buried in otherwise large datasets that typically otherwise involve downloading and preprocessing. A second important benefit/use is to extract data from those same datasets, reconfigure the structure of the data retrieved by API and create a new dataset structure that lends itself to analytical applications.

ProximityOne Data Analytics sessions review purpose, scope, strengths, advantages & limitations of APIs described in this section. Topics included in the related Web section include:
• Federal Geographic-Demographic-Economic Data Access Using APIs
• REST APIs
• Federal Communications Commission
• Bureau of the Census … much more than Census
• Bureau of Economic Analysis
• Bureau of Labor Statistics
• Data Access & Analytics Applications
There are hundreds more APIs available from Federal agencies and wide-ranging sources.

Using APis and GIS: Visualizing Patterns; Geospatial Analysis
The following graphic has been developed first using API tools to create the underlying datasets. While the source data used in this application could have been downloaded and processed in legacy manner, the API tools provide on-the-fly development of the data in a structure required by the GIS software. These data are then integrated into shapefiles for use with the GIS software. Once the datasets are developed, they can be used in a myriad of application, GIS and otherwise.

Patterns of Male Hispanic Population Age 5 Years by ZIP Code
— Houston, TX Area

• Click graphic for larger view with ZIP Code labels and more detail.
• The graphic shows patterns of the Male Hispanic population 5 years of age as of Census 2010.
• The view illustrates how single year of age by gender by race/origin can be visually analyzed.
• See more about these data and single year of age demographics

Examples and More Detail
See the corresponding Web section on Data Analytics & Using APIs. Many See application examples are shown there.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for 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.