Tag Archives: geographic information systems

New 2016 Digital Roads Database

.. new resources for updated geographic reference and statistical mapping and geography for routing logistics and optimization .. The Census Bureau TIGER/Line is a continuously updated geographic database used for geographic reference and geospatial processing of data from various Census statistical programs including the decennial census Census 2010 and American Community Survey (ACS 2014). The public use version of TIGER is released annually that includes updates developed during the year. ProximityOne integrates the TIGER geographic updates in the Digital Map Database. Warren Glimpse, founder of ProximityOne, developed the GBF/DIME used as the prototype for TIGER/Line development.  See related Web section for more details, interactive table and access to GIS resources.

The TIGER database includes many types of files and data. The data are developed in the form of shapefiles and dbase files that may be used directly with the ProximityOne CV XE GIS software at no fee. Perform wide-ranging mapping and geospatial analysis applications using these GIS resources. See more aboutmapping statistical data.

TIGER/Line Roads Data
This section is focused mainly on the use of the TIGER/Line “edges” shapefile. The edges shapefile U.S. wall-to-wall street/road coverage in the form of line shapefiles. Lines classified as roads are intersection-to-intersection road segments. Line segment fields include name, left- and right-side high and low addresses, and many related attributes.

Use the U.S. by county interactive table below to examine attributes of TIGER 2016 street/road coverage. ProximityOne developed these county summary data by processing each county edges shapefile. See about using the edges shapefile with the CV XE GIS software below in this section.

Illustrative Applications
The following sequence of graphics shows an example of a “road segment” in context of related geography. These applications focus on an area in Kansas City, MO (Jackson County),. Jackson County has 52,139 TIGER 2016 road segments. See the related step-by-step summary of how you can create these and similar map views using CV XE GIS below in this section.

Road Segment Map View & Profile
– Starbucks locations shown as red markers; pointer on road segment by a Starbucks location.
– View illustrates how non-Census, non-statistical data can be integrated with TIGER.
– Clicking on the road segment (in GIS operation), a mini-profile displays.
– The profile shows attributes of the selected road segment.
.. the TLID value shows the unique ID for this segment among all segments in U.S.
.. left- and right-side high and low address ranges and included in the profile.

Corresponding Census Block Profile
– The road segments are boundaries for census blocks.
– The census block boundaries are shown using a related TIGER blocks shapefile.
– The more that 11 million census blocks cover the U.S. wall-to-wall.
– The census block code (290950073002017) is shown as a label in the map graphic and in the profile.

Neighborhood & Shopping Area View
– A zoom-out shows the location, roads and blocks for a broader areas.

Regional View
– A further zoom-out shows the focus area view in context of the metro counties (a related TIGER shapefile)
– The January 2016 Kansas City city area (orange cross-hatch pattern) is shown using a related TIGER 2016 shapefile.

TIGER 2016 Roads
TIGER/Line 2016 vintage files were released in August 2016. While many aspects of road coverage remain as described in this section, TIGER/line 2016 includes many updates as well as “new vintage” geography for school districts, state legislative districts, congressional districts and other political/statistical area geography.
• More about TIGER 2016.
• More about TIGER/Line in general.

TIGER 2016 Road/Street Name/Address Coverage
— Interactive Table
The following graphic illustrates use of the interactive table to examine the number and characteristics of road segments by county. This view shows the top 10 counties based on the number of total road segments.

– click graphic for larger view

Using TIGER/Line with CV XE GIS
These operations require a 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 TIGER Roads project fileset
… requires ProximityOne User Group ID (join now)
… unzip TIGER Roads GIS project files to local folder c:\tiger2016
3. Open the c:\tiger2016\riger2016_kc.gis project
… after completing the above steps, click File>Open>Dialog
… open the file named c:\tiger2016\tiger2016_kc.gis
4. Done. The start-up view is shown at top of this section.

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.

Real Purchasing Power by State & Metro

.. how does the real purchasing power in metros of interest compare to other metros? Use data and tools reviewed here to examine the purchasing power of the incomes in different metros and states … this section provides access to regional price parities (RPPs) estimates developed compare regions within the U.S. RPPs are regional price levels expressed as a percentage of the overall national price level for a given year. The price level is determined by the average prices paid by consumers for the mix of goods and services consumed in each region. See about these data. See example about using RPPs below in this section.

• Use the interactive table to view, rank, compare the RPPs
.. for all states and metropolitan statistical areas (MSAs).
• Use GIS tools described here to develop RPP thematic pattern maps.
.. add your own data & geography, select different HPI measures or criteria.
.. zoom to different geographic extents, label and modify colors as desired.

Patterns of Regional Price Parities by Metro: 2014
The following graphic shows patterns of 2014 all items Regional Price Parities by metro (MSAs). The color patterns/intervals are shown in the inset legend. In additional views (below this graphic) metros are labeled with the 2014 all items RPP. Click graphic for larger view. Expand browser to full window for best quality view. Use the GIS tools described here to develop thematic pattern maps for a range of data and criteria.

.. view developed using the CV XE GIS software.
.. click map for larger view and details.

Additional Views — install GIS project (see steps here) and create your own custom maps
Georgia & Region
Missouri & Region
Texas & Region

Using the RPP — Illustrative Examples
1. Comparing real purchasing power:
  — Houston, TX metro compared to Waco, TX metro.
The the all items RPP for the Houston metro in 2014 was 100.3 while the all items RPP for the Waco, TX metro in 2014 was 91.5. (from RPP table). On average, prices are 0.3 percent higher and 8.5 percent lower than the U.S. average for the Houston metro and the Waco metro, respectively. The per capita personal income (PCPI) for the Houston metro in 2014 was $54,820 and the per capita personal income for the Waco metro was $35,340 (get from the table at http://proximityone.com/reis.htm). The RPP-adjusted PCPI values are $53,223 ($54,820/1.03) and $38,622 ($35,340/0.915), respectively. The gap between the purchasing power of the two metro PCPIs is reduced when adjusted by their respective RPPs.

2. Comparing real purchasing power:
  — Washington, DC metro compared to Columbia, MO metro.
• Washington, DC metro 2014 all items RPP: is 119.4 (from RPP table); 2014 PCPI: $62,975 (from this table)
• Columbia, MO metro 2014 all items RPP: 93.0 (from RPP table); 2014 PCPI: $41,418 (from this table)
• The RPP-adjusted PCPI values are $52,742 ($62,975/1.194) and $44,535 ($41,418/0.93), respectively.

Using the RPP Interactive Table
Use the interactive table to examine the RPP by state and metro. The following graphic illustrates use of the table to show the 10 metros having the highest 2014 all items RPP. Click graphic for larger view. Examine metros and states of interest with more detail using tools below the table.

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.

America’s Million+ Population Cities: Chicago

.. there are 10 U.S. cities having population of 1 million or more … Chicago is ranked 3rd among all U.S. cities based on 2015 population.  The population of Chicago, IL changed from 2,695,605 in 2010 to 2,720,546 in 2015 (24,941 or 0.9%). The population of the U.S. overall changed from 308,758,105 in 2010 to 321,418,820 in 2015 (12,660,715 or 4.1%). Examine population characteristics and trends of the city of Chicago in context of other cities and counties using the interactive table.

Chicago is a principal city of the Chicago-Naperville-Elgin, IL-IN-WI Metropolitan Statistical Area (CBSA 16980). This section reviews selected geographic, demographic and economic characteristics of the city of Chicago and tools to analyze these data.

Chicago City in Regional Context
Chicago city is shown as green-fill semi-transparent area.

… view developed using the CV XE GIS software.
… click map for larger view.

Chicago Urbanized Area (orange fill pattern below city layer)
.. about urbanized areas

Examining Characteristics, Patterns and Trends of Chicago
View extended demographic-economic characteristics of Chicago in this table. Compare attributes of the city for 2012, 2014 and change. Annual demographic-economic estimates are available for all geographies for areas of 65,000 population or more from the American Community Survey (ACS).

Regional Demographic-Economic System & Cook County, IL
View Cook County tables from RDEMS. Click links below to view demographic-economic characteristics of the county.
POP1 Population & Components of Change
POP2 Population by Age
HSG1 Housing Units & New Residential Construction
DEM1 Demographic-Economic Profile
LF1 Labor Force
LF2 Labor Force
EST1 Establishments, Employment, Earnings
CA4 Personal Income and Employment by Major Component
CA5 Personal Income by Major Component and Earnings by Industry
CA6 Compensation of Employees by Industry
CA25 Employment by Industry
CA30 Economic Profile
CA35 Current Transfer Receipts
CA45 Farm Income & Expenses

Comparing Chicago Annual Total Population to Other Areas
Use the interactive table in the related section to view, rank, query and compare annual population estimates for states, cities, counties and sub-county areas of interest.

View, Rank, Compare Chioago with any/all Other Cities
Use these tables based on ACS 2014 5-year estimates to view Chicago in context with other cities.
General Demographics
Social Characteristics
Economic Characteristics
Housing Characteristics

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.

America’s Million+ Population Cities

.. there are 10 million+ population cities in the U.S. .. each is reviewed in some detail in this section .. the change in U.S. city population from 2010 to 2015 ranged from growth of 357,979 in New York City to a decline of in Detroit, MI. New York City is actually five counties; the next largest city growth was Houston, TX with a 181,463 population gain. See cities with largest growth or decline using the interactive table.

The July 1, 2015 Census Bureau model-based estimates for the U.S. 19,505 incorporated cities show a total population of 202,066,769 compared to 192,179,239 as of Census 2010. These areas are incorporated cities as recognized by their corresponding state governments and granted certain governmental rights and responsibilities. ProximityOne integrates these estimates, with related data, in models to develop projections, examine change and assess the impact of change.

Largest 10 Cities — the Million-Plus Population Cities
The largest 10 cities in 2015, shown by this graphic taken from the interactive table below, are also the set of cities having 1 million or more population.

Locations and Attributes of the Largest 10 Cities
Locations of the largest 10 cities based on 2015 population are shown in the following graphic as red marker.

Examine demographic-economic attributes of these cities using these related individual city-focused sections.  These sections compare the city boundary/location with corresponding urbanized areas and include extended data from ACS 2012 and ACS 2014 1 year estimates presented in a comparative analysis format.
1. New York, NY
2. Los Angeles, CA
3. Chicago, IL
4. Houston, TX
5. Philadelphia, PA
6. Phoenix, AX
7. San Antonio, TX
8. San Diego, CA
9. Dallas, TX
10. San Jose, CA

City/Place Demographics in Context
State & Regional Demographic-Economic Characteristics & Patterns
.. individual state sections with analytical tools & data access to block level
Metropolitan Area Situation & Outlook
.. continuously updated characteristics, patterns & trends for each/all metros

Visual Analysis of City/Place Population Dynamics
Use the CV XE GIS software with city/place GIS project to examine characteristics of city/place population, 2010-2015. The following view shows patterns of population percent change, 2010-15, by city in the Charlotte, NC/SC metro area.

… view developed using the CV XE GIS software.
… click map for larger view and details including city name.

Individual million+ population city sections will be updated and the topic of separate future blog posts. Follow this blog to learn about updates to these and related sections.

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.

Census Tract-City Relationship Table

.. what census tracts are located in cities of interest? What are their codes? Conversely, do you have census tract codes and need to know corresponding city(s)? Get answers here.

This section provides access to an interactive table useful to examine relationships among Census 2010 census tracts, cities/places, and counties. Many cities and counties that might be experiencing demographic-economic decline will often have bright spots that are groups of a few or many census tracts. Census tracts are important sub-county geography in data analytics. See the related section on census data analytics. See more about census tracts and data analytics below in this section.

Relating Census Tracts to Cities & Counties
Census tracts are sub-county areas and nest coterminously within counties. The 6-character tract code is unique within county. For cities 10,000 and larger, there are some number of whole census tracts within the city. But around the perimeter of cities, census tracts will often be partly within and partly outside of the city. The following graphic shows the relationship of tracts, cities and counties in the Plano city area (green fill pattern) located mostly in Collin County within the Dallas metro. Click graphic for larger view, more detail and legend color/data intervals. This map illustrates the geographic level of detail available using census tract demographics and the relative ease to gain insights using geospatial data analytics tools.

– View developed using CV XE GIS and related GIS project.

Using the Interactive Relationship Table
A small part of Plano is located in Denton county (see north-south bold red-brown boundary). Tract 021627 (see pointer) is located in Denton County and includes a part of Plano. To determine what geography tract 021627 intersects, click the Tract> button below the interactive table shown below. See that the tract is contained in parts of 4 cities.

Census Tract to City/Place & County Equivalence Table
The following graphic illustrates use of the interactive table to view/examine the relationship between census tract 48121021627 (in Denton County, TX) and the city of Plano, TX. Click graphic for larger view.

The above view was developed using the interactive table:
– click the ShowAll button
– click the FindTract button (preset to locate this tract).

Click the ShowAll button and enter a city/place (case-sensitive) name of interest to view the set of intersecting tracts. See the table usage notes below the table in the related Web page. We review operation of the table in the Data Analytics Web sessions.

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.

Tip of the Day — Census Tract Data Analytics

.. tip of the day .. a continuing weekly or more frequent tip on developing, integrating, accessing and using geographic, demographic, economic and statistical data. Join in .. tip of the day posts are added to the Data Analytics Blog on an irregular basis, normally weekly. Follow the blog to receive updates as they occur.

This section is focused on tools and methods to access and use census tract demographic-economic measures. Median household income ($MHI), median housing value ($MHV) and other selected items are used to illustrate operations and options.

This section illustrates use of census tract data from the 2014 American Community Survey (ACS1014) 5-year estimates. These are the most comprehensive demographic-economic data from the Census Bureau at the census tract level. These “5-year estimates” are centric to mid-2012. See more about 2010-2021 annual estimates and projections.

Methods described here apply to many other geographies; see related tip sections. See related section on ZIP code applications.

Five data access and use options are reviewed. Each method illustrates how $$MHI, $MHV and other data can be analyzed/used in different contexts.

Option 1 – View the data as a thematic pattern map.
Option 2 – View, compare, rank query data in interactive tables.
Option 3 – Access data using API Tools; create datasets.
Option 4 – View $MHI in structured profile in context of related data.
Option 5 – Site analysis – view circular area profile from a location.

Related sections:
Census tracts main section
Evolution of Census Tracts: 1970-2010
Demographic-Economic Estimates & Projections
Census tract and ZIP code equivalencing
Using census tracts versus ZIP code areas
Single year of age demographics

Option 1. View the data as a thematic pattern map; use the GIS tools:
Patterns of Economic Prosperity ($MHI) by Census Tract … the following graphic shows $MHI for a portion of the Los Angeles metro. Accommodating different demographic-economic thresholds/patterns, different legend color/data intervals are used. The pattern layer is set to 80% transparency enabling a view of earth features. Click graphic for larger view, more detail and legend color/data intervals; expand browser window for best quality view.

– View developed using CV XE GIS and related GIS project.

See details about each option in the related Web page.

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.

County Population Trends 2010-2015

.. examining the how and why of U.S. population change by county from 2010 to 2015. This section provides an overview of this topic and provides a summary of tools, interactive table and GIS project, to analyze population change by county using latest Census Bureau estimates data through 2015. These data are used by ProximityOne to develop/update annual county demographic-economic projections. See related Web section for more detail.

Patterns of Population Change by County, 2010-2015
The following graphic shows how counties have gained population (blue and green) and lost population (orange and red) during the period 2010 to 2015. Click graphic for larger view; expand browser window for best quality view.

.. view developed with ProximityOne CV XE GIS and related GIS project.
.. see related drill-down views of Texas by county

Examining Population Components of Change
Population change can be examined in terms of components of change. There are three components of change: births, deaths, and migration. The change in the population from births and deaths is often combined and referred to as natural increase or natural change. Populations grow or shrink depending on if they gain people faster than they lose them. Examining a county’s unique combination of natural change and migration provides insights into why its population is changing and how quickly the change is occurring.

See more about these topics below:
Natural Increase/Change; birth & deaths
Migration; net international, net domestic, net migration

Interactive Analysis
Use the interactive table to view population trends and components of change for selected counties. The following graphic illustrates how the table can be used.
• Click the ShowAll button (below table)
• Click the Pop Min & Max button .. refreshes table
    to show only counties with 2015 population 250,000-300,000
• Click ChgCols button to show all 2010-15 change columns
• Click PopChg 2010-15 header column to sort.

Resulting view:
Among these counties, Horry County, SC has the largest 2010-15 population change. The peer group counties are shown in rank order.

– Click graphic for larger view.
– experiment with settings of interest.

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.