Congressional District 2015 Demographic-Economic Characteristics

.. congressional districts vary widely in demographic-economic characteristics.  We have new data for 2015 providing insights to characteristics of the 114th Congressional Districts.  This section summarize a few of these characteristics and provides access to a wide range of data that you can use to view, sort, rank, and compare congressional districts using interactive tables.

Patterns of 2015 Educational Attainment
The following graphic shows patterns of educational attainment (percent college graduate) by congressional district in the Los Angeles area. White label shows the congressional district code; yellow label shows percent college graduate. Legend shows color patterns associated with percent college graduate intervals.

– View developed using CV XE GIS software and associated GIS project.

How Congressional Districts Compare
Reference items refer to items/columns shown in tables described below.

.. general demographics: congressional district UT03 has the smallest median age (27.5 years — item D017) and FL11 has the highest median age (53.5 years).

.. social characteristics: congressional district KY05 has the fewest number of people who speak English less than “very well” (2,676 — item S113) and FL27 has the largest number (281,053).

.. economic characteristics: congressional district ND00 has the lowest unemployment rate (2.6% — item E009) and MI13 has the highest unemployment rate (14.6%).

.. housing characteristics: congressional district MI13 has the lowest median housing value ($63,100 — item H089) and CA18 has the highest median housing value ($1,139,900).

Access the Detailed Interactive Tables
Click a link to view more thematic pattern maps and use the interactive tables.
.. 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.

Largest School Districts Enrollment Characteristics

..  while school district enrollment is reported by school districts, only public school enrollment is reported. Public and private school enrollment are available by district from the American Community Survey (ACS 2015).  With few exceptions, school districts do not report on demographic-economic characteristics of the school district.  These data are only available from ACS. See the related interactive table to access and compare enrollment characteristics of school districts of interest.

In 2015, there were 1,016 school districts with total population of 65,000 or more (of total 14,650) for which “1-year estimates” were tabulated.  These estimates are based on respondent data for calendar year 2015.  This section summarizes selected enrollment characteristics of the largest districts and provides access to much more detail for each of these districts.

Largest 10 School Districts
The following graphic shows the largest 10 school districts based on the size of the 2015 school age population ages 5-to-17. Click graphic for larger view.

Mapping the Largest School Districts
The following graphic shows locations of the largest school districts as red markers. Click graphic for larger view that opens in a new window. Expand browser window for bets quality view. The larger view shows school district locations on context of metropolitan statistical areas (MSAs).

  view created using CV XE GIS software and related GIS project.

School Districts Tabulated in ACS 2015
ACS 2015 data are tabulated for 14,650 school districts (among many other wide-ranging geography). The following table shows the number of districts for which 1-year estimates and 5-year estimates are tabulated. There are 1,016 districts for which 1-year estimates were tabulated.

These data show enrollment of residents of the district whether enrolled in that district or otherwise. Enrollment data are provided for preschool, K-12 and college and not enrolled.

Using the School District Enrollment Interactive Table
The following graphic illustrates use of the interactive table (click that link to use the table) showing enrollment in kindergarten by school district ranked in descending order.

– click graphic for larger view.

Using the table, you can select total, public or private enrollment for selected grade ranges.

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.

New ACS 2015 1-Year Demographic-Economic Data

.. essential data to assess where we are, how things have changed and how things might change in the future down to the sub-neighborhood level. The American Community Survey (ACS) is a nationwide survey designed to provide annually updated demographic-economic data for national and sub-national geography. ACS provides a wide range of important data about people and housing for every community across the nation. The results are used by everyone from planners to retailers to homebuilders and issue stakeholders like you. ACS is a primary source of local data for most of the 40 topics it covers, such as income, education, occupation, language and housing. ProximityOne uses ACS to develop current estimates on these topics and 5-year projections. This section is focused on ACS 2015 data access, integration and use and is progressively updated.

New ACS 2015 1-year estimates are available as of September 15, 2016.

Importance of ACS: Assessing Demographic-Economic Change
Oil prices plummeted in late 2014. How has this affected people and households in areas hardest hit? Find out for wide-ranging geographies using the ACS 2015 1-year estimates. Compare to ACS 2014 1-year estimates. Use the ACS 2016 1-year estimates (September 2017) to see how the impact has continued. Demographic-economic conditions change for many reasons; oil price changes are just one.

Keep informed about ACS developments and related tools and applications:
• Updates are sent to ProximityOne User Group members (join here).
… access special extract files and GIS projects available to members.
• ACS updates and applications are covered in the Data Analytics Blog.
• ACS data access, integration & use … join us in a Data Analytics Lab session.

In the weeks ahead, the following ProximityOne information resources will be updated with new ACS 2015 1-year data:
• U.S.-State-Metro Interactive Tables
• Demographic component section of Metro Situation & Outlook Reports .. example for Dallas metro
• Housing characteristics component section of Metro Situation & Outlook Reports .. example for Dallas metro
• Demographic-Economic Trend Profiles
• Special study reports.

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.

New Monthly Residential Construction by Metro Updates

.. tools, data & methods to assess the housing situation, examine housing supply and demand market conditions, and how metros of interest are changing.  New July 2016 building permits (new housing units authorized) and over-the year monthly data are now available for each metropolitan statistical area (MSA).

Use the interactive table to view, query, rank, compare data by metro. Map and geospatially analyze construction patterns with the CV XE GIS software and ready-to-use GIS project/datasets – see details.

Updated Resources to Examine Residential Construction Patterns
• Metro Situation & Outlook Reports
.. metro by metro … examples: Houston, Los Angeles, Chicago, Atlanta.
• County Annual U.S. by county
• County & City/Place Monthly

Patterns of New Authorized Residential Units by Metropolitan Area
The following graphic shows value of single unit structures units authorized  by metro. Larger view shows more details including a mini-profile of housing units authorized detail. Create similar views for preferred time periods and different residential unit attributes using the GIS project.  Zoom-in to areas of interest.  Label the geography as desired.  Add your own data.

View created with CV XE GIS. Click graphic for larger view.

The time lag from reference date to access date of these data is one month, contributing to both the freshness of the data and importance of the data as a leading economic indicator. The importance of these data transcends issues concerning housing market conditions alone.  These data are one part of a mix of demographic-economic factors required to understand housing market conditions and the local/regional economy. These data are a part of the process to develop the ProximityOne county and sub-county demographic-economic estimates and projections.

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 by Metro: What $100 Buys

.. data and tools to examine the purchasing power of the incomes in different metros and states … this section reviews how you can access to data on what $100 buys by state and metro. Examine patterns of what $100 buys by year, 2008-2014, for all items and by type of goods & services category. Use the interactive table to view, rank, compare the Buying Power Index for each/all states and metros (MSAs). See the main Web page for more details.

What $100 Buys by Metro: 2014
The following graphic shows patterns of 2014 all items buying power of $100 by metro (MSAs). The color patterns/intervals are shown in the inset legend. Click graphic for larger view. Expand browser to full window for best quality view. Use GIS tools 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.

Varying prices by region can be normalized using Regional Price Parities (RPP). The RPP is a weighted average of the price level of goods and services for the average consumer in one geographic region compared to all other regions in the U.S. See more about RPP measures. Using the RPP data, what $100 will buy can be determined by state and metro for the categories of all goods and services, goods, services-rents and other services. See about RPP goods and services types.

In the Boston metro, $100 buys about 90.7 percent of all items goods and services due to the high prices there. $100 in Boston seems more like $90.70 compared to the national average. In the Jefferson City, MO metro, the opposite is true. $100 buys all items goods and services due to lower prices in that metro. $100 in the Jefferson City, MO metro is the equivalent of $121.65 of all items goods and services compared to the national price levels.
• the Boston metro all items buying power index is 90.70
• the Jefferson City, MO metro all items buying power index is 121.65

Interactive Table – Top 10 Metros
The following graphic illustrates use of the Buying Power Index interactive table. This graphic shows the 10 metros that have the all items highest Buying Power Index. Use the interactive table to view/examine areas 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 Quarterly Establishments, Employment & Earnings by Industry

.. data, tools and methods to analyze metro business  patterns and trends .. the most current and comprehensive measures of business activity by county, metro and higher level geography are provided by the Establishments, Employment & Earnings (EEE) database. Use the resources described here to analyze establishments, employment and wages by metro for the most recent quarter and over-the-year change — by quarter 2013 through 2015.  Updated quarterly, the 2016Q1 data become available September 7, 2016. See the related Web section for more details.

These metro by metro EEE datasets are  closely integrated with the metros Situation & Outlook reports. Click a CBSA code in the “Code” column in that table then select related section 6.6. to access/download quarterly data for a metro.

Where Does America Make Things?
The graphic below shows percent employment in the manufacturing sector (employment in the private manufacturing sector as a percent of total private sector employment by county). This view illustrates how the EEE data can be used to develop insights.  Click graphic for larger view providing more detail. Use the GIS tools to analyze similar patterns for any industry. Interpreting this map graphic and alternative data resources … join us in a Data Analytics Lab session where we discuss making and interpreting this map view and alternatives.

– view developed with ProximityOne CV XE GIS and related GIS project.

Two Key Data Resources
1) Use the interactive table in the Web section to example total establishments, employment and wages for any selected MSA and/or in comparison with other MSAs.

2) Download metro quarterly Establishments, Employment & Earnings (EEE) by type of business data. Click a quarterly download link in Section 6.6 for a selected metro (see above note) and download the full 6-digit NAICS detail data for any/all quarters starting with 2013Q1 (CSV structure). These files provide 6-digit NAICS type of business code detail and included columns for :
for the most recent quarter ..
• establishments
• 1st, 2nd, and 3rd month employment
• total wages and average weekly wages
• establishments location quotient
• 1st, 2nd, and 3rd month employment location quotient
• wages and average weekly wages location quotient
for over-the-year change (previous year, same quarter ..
• establishments
• 1st, 2nd, and 3rd month employment
• total wages and average weekly wages
• establishments location quotient
• 1st, 2nd, and 3rd month employment location quotient
• wages and average weekly wages location quotient

Using the Interactive Table
Updated quarterly, use the interactive table in the Web section to view, rank, compare individual metros with other metro. The following graphic shows metros ranked in descending order by 2015Q4 average weekly wages. Columns to the right show over-the-year (2014Q4-2015Q4 in this case) characteristics.

– click graphic for larger view.

Using the Downloaded Data
Access/download quarterly establishments, employment & earnings data by detailed NAICS category using theSituation & Outlook Metro Reports. Select a metro from the interactive table by click a link in the “Code” column. The S&O metro report opens in a new page. In the table of contents, select section 6.6. from the table of contents (Establishments, Employment & Earnings by Detailed Type of Business). See this example for the Chicago metro.  See the related Web section for more details on using the download data files. .

Location Quotients
Pre-computed location quotients are included in the downloadable files. Location quotients (LQ) are ratios (indicators) that measure the concentration of an industry within a specific area (metro in this case) to the concentration of that industry nationwide.

If an employment LQ is equal to 1, then the industry has the same share of its area employment as it does in the nation. An employment LQ greater than 1 indicates an industry with a greater share of the local area employment than is the case nationwide. For example, Las Vegas will have an LQ greater than 1 in the Leisure and Hospitality industry because this industry makes up a larger share of the Las Vegas employment total than it does for the nation as a whole.

Employment LQs are calculated by first, dividing local industry employment by the all industry total of local employment. Second, national industry employment is divided by the all industry total for the nation. Finally, the local ratio is divided by the national ratio.

LQs are provided in the downloadable file for:
a) the reference quarter for each of establishments, employment and wages, and
b) over-the-year change for each of establishments, employment and wages.

Location Quotients will be reviewed in more detail in an upcoming blog post.

Important features of these data …
• Tabulated for all counties, metros, states and the U.S.
• Tabulated for detailed types of business (6-digit NAICS).
• Tabulated quarterly and annually, the data enable time-series modeling.
• Employer-based administratively collected data; not estimates.
• Short lag (5 months) between reporting date and date of data accessibility
– data for first quarter 2016 (2016Q1) are available mid-September 2016.

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.

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.